The MYSQL database table created for this assignment contains arrival delays for two airlines across five destinations
Please note below additional packages installed. The formattable package is used to transform vectors and data frames into more readable and impactful tabular formats. Package ‘conflicted’ solved an issue with the rename func as it pertains to knit/html.
install.packages(“formattable”) install.packages(“conflicted”)
library(tidyverse)## -- Attaching packages ---------------------------------------------------------------------- tidyverse 1.3.0 --## v ggplot2 3.3.2 v purrr 0.3.4
## v tibble 3.0.3 v dplyr 1.0.2
## v tidyr 1.1.2 v stringr 1.4.0
## v readr 1.3.1 v forcats 0.5.0## -- Conflicts ------------------------------------------------------------------------- tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()library(RMySQL)## Loading required package: DBIlibrary(formattable)##DBconnect was utilized in this assignment to authenticate/pull in the flight delay information into R
my.database1 = dbConnect(MySQL(), user='root', password = 'Password1', dbname='jobs', host='localhost')
dbListTables(my.database1)## [1] "job" "job2"Using fetch function we are able to select all the row from our flightsandstatus database [table = airlines_info1]
jobs_list <- fetch(dbSendQuery(my.database1, "SELECT * FROM job"))
dim(jobs_list)## [1] 500 43colnames(jobs_list)## [1] "MyUnknownColumn" "Job_Title"
## [3] "Link" "Queried_Salary"
## [5] "Job_Type" "Skill"
## [7] "No_of_Skills" "Company"
## [9] "No_of_Reviews" "No_of_Stars"
## [11] "Date_Since_Posted" "Description"
## [13] "Location" "Company_Revenue"
## [15] "Company_Employees" "Company_Industry"
## [17] "python" "sql"
## [19] "machine learning" "r"
## [21] "hadoop" "tableau"
## [23] "sas" "spark"
## [25] "java" "Others"
## [27] "CA" "NY"
## [29] "VA" "TX"
## [31] "MA" "IL"
## [33] "WA" "MD"
## [35] "DC" "NC"
## [37] "Other_states" "Consulting and Business Services"
## [39] "Internet and Software" "Banks and Financial Services"
## [41] "Health Care" "Insurance"
## [43] "Other_industries"summary(jobs_list)## MyUnknownColumn Job_Title Link Queried_Salary
## Length:500 Length:500 Length:500 Length:500
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## Job_Type Skill No_of_Skills Company
## Length:500 Length:500 Min. : 0.000 Length:500
## Class :character Class :character 1st Qu.: 4.000 Class :character
## Mode :character Mode :character Median : 7.000 Mode :character
## Mean : 7.576
## 3rd Qu.:10.000
## Max. :20.000
## No_of_Reviews No_of_Stars Date_Since_Posted Description
## Length:500 Length:500 Min. : 1.00 Length:500
## Class :character Class :character 1st Qu.:11.00 Class :character
## Mode :character Mode :character Median :30.00 Mode :character
## Mean :21.19
## 3rd Qu.:30.00
## Max. :30.00
## Location Company_Revenue Company_Employees Company_Industry
## Length:500 Length:500 Length:500 Length:500
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## python sql machine learning r
## Length:500 Length:500 Length:500 Length:500
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## hadoop tableau sas spark
## Length:500 Length:500 Length:500 Length:500
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
## java Others CA NY VA
## Min. :0.000 Min. :0.000 Min. :0.00 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:1.000 1st Qu.:0.00 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :1.000 Median :0.00 Median :0.000 Median :0.000
## Mean :0.184 Mean :0.914 Mean :0.11 Mean :0.052 Mean :0.084
## 3rd Qu.:0.000 3rd Qu.:1.000 3rd Qu.:0.00 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.00 Max. :1.000 Max. :1.000
## TX MA IL WA
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.086 Mean :0.052 Mean :0.044 Mean :0.048
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## MD DC NC Other_states
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.032 Mean :0.016 Mean :0.024 Mean :0.452
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:1.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000
## Consulting and Business Services Internet and Software
## Min. :0.000 Min. :0.00
## 1st Qu.:0.000 1st Qu.:0.00
## Median :0.000 Median :0.00
## Mean :0.152 Mean :0.09
## 3rd Qu.:0.000 3rd Qu.:0.00
## Max. :1.000 Max. :1.00
## Banks and Financial Services Health Care Insurance Other_industries
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000 1st Qu.:0.000
## Median :0.000 Median :0.000 Median :0.000 Median :0.000
## Mean :0.046 Mean :0.066 Mean :0.024 Mean :0.328
## 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:0.000 3rd Qu.:1.000
## Max. :1.000 Max. :1.000 Max. :1.000 Max. :1.000jobs_list## MyUnknownColumn
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## Job_Title
## 1 Data Scientist
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## 392 Data Scientist - Artificial Intelligence
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## 407 Associate Safety Data Scientist
## 408 New Graduate Data Scientist
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## 413 Data Scientist I Information Services
## 414 Data Scientist (Decision Science)
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## 416 Junior Data Scientist
## 417 Data Scientist
## 418 Data Scientist/Statistician
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## 420 Data Scientist
## 421 Senior Data Scientist
## 422 Staff Data Scientist
## 423 Data Scientist
## 424 Data Scientist
## 425 Senior Data Scientist
## 426 Data Scientist
## 427 Data Scientist
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## 429 Data Scientist
## 430 Data Scientist I
## 431 Data Scientist
## 432 data scientist
## 433 Data Scientist
## 434 Data Scientist
## 435 Data Scientist I
## 436 DATA SCIENTIST
## 437 DATA SCIENTIST
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## 439 Data Scientist
## 440 Data Scientist - Sales
## 441 DATA SCIENTIST
## 442 Director - Data Scientist
## 443 Intermediate Data Scientist
## 444 Senior Data Scientist
## 445 Associate Data Scientist
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## 447 Data Scientist
## 448 Data Scientist
## 449 Data Scientist 2
## 450 Data Scientist
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## 455 Data Scientist - Biostatistics
## 456 Marketing & Customer Insights – Data Scientist Intern
## 457 Supply Chain Data Scientist
## 458 Data Scientist
## 459 Data Scientist, Junior
## 460 Data Scientist
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## 462 Data Scientist
## 463 Data Scientist
## 464 Data Scientist
## 465 Data Scientist
## 466 Data Scientist II
## 467 Bioinformatic Data Scientist
## 468 Senior Data Scientist
## 469 Associate Data Scientist
## 470 Data Scientist
## 471 Data Scientist, PhD University Graduate
## 472 Data Scientist
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## 476 Data Scientist
## 477 Data Scientist
## 478 Data Scientist
## 479 Data Scientist
## 480 Data Scientist
## 481 Associate Data Scientist
## 482 Data Scientist
## 483 Data Scientist
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## 485 Data Scientist, Revenue Management
## 486 Data Scientist
## 487 Data Scientist
## 488 Data Scientist
## 489 Data Scientist
## 490 Principal Data Scientist
## 491 Principal Data Scientist
## 492 Data Scientist (June 2019)
## 493 Data Scientist
## 494 Data Scientist
## 495 Data Scientist
## 496 Data Scientist
## 497 Staff Data Scientist
## 498 Staff Data Scientist
## 499 Data Scientist
## 500 Data Scientist
## Link
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## Queried_Salary Job_Type
## 1 <80000 data_scientist
## 2 <80000 data_scientist
## 3 <80000 data_scientist
## 4 <80000 data_scientist
## 5 <80000 data_scientist
## 6 <80000 data_scientist
## 7 <80000 data_scientist
## 8 <80000 data_scientist
## 9 <80000 data_scientist
## 10 <80000 data_scientist
## 11 <80000 data_scientist
## 12 <80000 data_scientist
## 13 <80000 data_scientist
## 14 <80000 data_scientist
## 15 <80000 data_scientist
## 16 <80000 data_scientist
## 17 <80000 data_scientist
## 18 <80000 data_scientist
## 19 <80000 data_scientist
## 20 <80000 data_scientist
## 21 <80000 data_scientist
## 22 <80000 data_scientist
## 23 <80000 data_scientist
## 24 <80000 data_scientist
## 25 <80000 data_scientist
## 26 <80000 data_scientist
## 27 <80000 data_scientist
## 28 <80000 data_scientist
## 29 <80000 data_scientist
## 30 <80000 data_scientist
## 31 <80000 data_scientist
## 32 <80000 data_scientist
## 33 <80000 data_scientist
## 34 <80000 data_scientist
## 35 <80000 data_scientist
## 36 <80000 data_scientist
## 37 <80000 data_scientist
## 38 <80000 data_scientist
## 39 <80000 data_scientist
## 40 <80000 data_scientist
## 41 <80000 data_scientist
## 42 <80000 data_scientist
## 43 <80000 data_scientist
## 44 <80000 data_scientist
## 45 80000-99999 data_scientist
## 46 80000-99999 data_scientist
## 47 80000-99999 data_scientist
## 48 80000-99999 data_scientist
## 49 80000-99999 data_scientist
## 50 80000-99999 data_scientist
## 51 80000-99999 data_scientist
## 52 80000-99999 data_scientist
## 53 80000-99999 data_scientist
## 54 80000-99999 data_scientist
## 55 80000-99999 data_scientist
## 56 80000-99999 data_scientist
## 57 80000-99999 data_scientist
## 58 80000-99999 data_scientist
## 59 80000-99999 data_scientist
## 60 80000-99999 data_scientist
## 61 80000-99999 data_scientist
## 62 80000-99999 data_scientist
## 63 80000-99999 data_scientist
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## 66 80000-99999 data_scientist
## 67 80000-99999 data_scientist
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## 70 80000-99999 data_scientist
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## 72 80000-99999 data_scientist
## 73 80000-99999 data_scientist
## 74 80000-99999 data_scientist
## 75 80000-99999 data_scientist
## 76 80000-99999 data_scientist
## 77 80000-99999 data_scientist
## 78 80000-99999 data_scientist
## 79 80000-99999 data_scientist
## 80 80000-99999 data_scientist
## 81 80000-99999 data_scientist
## 82 80000-99999 data_scientist
## 83 80000-99999 data_scientist
## 84 80000-99999 data_scientist
## 85 80000-99999 data_scientist
## 86 80000-99999 data_scientist
## 87 80000-99999 data_scientist
## 88 80000-99999 data_scientist
## 89 80000-99999 data_scientist
## 90 80000-99999 data_scientist
## 91 80000-99999 data_scientist
## 92 80000-99999 data_scientist
## 93 80000-99999 data_scientist
## 94 80000-99999 data_scientist
## 95 80000-99999 data_scientist
## 96 80000-99999 data_scientist
## 97 80000-99999 data_scientist
## 98 80000-99999 data_scientist
## 99 80000-99999 data_scientist
## 100 80000-99999 data_scientist
## 101 80000-99999 data_scientist
## 102 80000-99999 data_scientist
## 103 80000-99999 data_scientist
## 104 80000-99999 data_scientist
## 105 80000-99999 data_scientist
## 106 80000-99999 data_scientist
## 107 80000-99999 data_scientist
## 108 80000-99999 data_scientist
## 109 80000-99999 data_scientist
## 110 80000-99999 data_scientist
## 111 80000-99999 data_scientist
## 112 80000-99999 data_scientist
## 113 80000-99999 data_scientist
## 114 80000-99999 data_scientist
## 115 80000-99999 data_scientist
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## 119 80000-99999 data_scientist
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## 121 80000-99999 data_scientist
## 122 80000-99999 data_scientist
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## 124 80000-99999 data_scientist
## 125 80000-99999 data_scientist
## 126 80000-99999 data_scientist
## 127 80000-99999 data_scientist
## 128 80000-99999 data_scientist
## 129 80000-99999 data_scientist
## 130 80000-99999 data_scientist
## 131 80000-99999 data_scientist
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## 133 80000-99999 data_scientist
## 134 80000-99999 data_scientist
## 135 80000-99999 data_scientist
## 136 80000-99999 data_scientist
## 137 80000-99999 data_scientist
## 138 80000-99999 data_scientist
## 139 80000-99999 data_scientist
## 140 80000-99999 data_scientist
## 141 80000-99999 data_scientist
## 142 80000-99999 data_scientist
## 143 80000-99999 data_scientist
## 144 80000-99999 data_scientist
## 145 80000-99999 data_scientist
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## 166 80000-99999 data_scientist
## 167 80000-99999 data_scientist
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## 179 80000-99999 data_scientist
## 180 80000-99999 data_scientist
## 181 80000-99999 data_scientist
## 182 80000-99999 data_scientist
## 183 80000-99999 data_scientist
## 184 80000-99999 data_scientist
## 185 80000-99999 data_scientist
## 186 80000-99999 data_scientist
## 187 80000-99999 data_scientist
## 188 80000-99999 data_scientist
## 189 80000-99999 data_scientist
## 190 80000-99999 data_scientist
## 191 80000-99999 data_scientist
## 192 80000-99999 data_scientist
## 193 80000-99999 data_scientist
## 194 80000-99999 data_scientist
## 195 80000-99999 data_scientist
## 196 80000-99999 data_scientist
## 197 80000-99999 data_scientist
## 198 80000-99999 data_scientist
## 199 80000-99999 data_scientist
## 200 80000-99999 data_scientist
## 201 80000-99999 data_scientist
## 202 80000-99999 data_scientist
## 203 80000-99999 data_scientist
## 204 80000-99999 data_scientist
## 205 80000-99999 data_scientist
## 206 80000-99999 data_scientist
## 207 80000-99999 data_scientist
## 208 80000-99999 data_scientist
## 209 80000-99999 data_scientist
## 210 80000-99999 data_scientist
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## 212 80000-99999 data_scientist
## 213 80000-99999 data_scientist
## 214 80000-99999 data_scientist
## 215 80000-99999 data_scientist
## 216 80000-99999 data_scientist
## 217 80000-99999 data_scientist
## 218 80000-99999 data_scientist
## 219 80000-99999 data_scientist
## 220 80000-99999 data_scientist
## 221 80000-99999 data_scientist
## 222 80000-99999 data_scientist
## 223 80000-99999 data_scientist
## 224 80000-99999 data_scientist
## 225 80000-99999 data_scientist
## 226 80000-99999 data_scientist
## 227 80000-99999 data_scientist
## 228 80000-99999 data_scientist
## 229 80000-99999 data_scientist
## 230 80000-99999 data_scientist
## 231 80000-99999 data_scientist
## 232 80000-99999 data_scientist
## 233 80000-99999 data_scientist
## 234 80000-99999 data_scientist
## 235 80000-99999 data_scientist
## 236 80000-99999 data_scientist
## 237 80000-99999 data_scientist
## 238 80000-99999 data_scientist
## 239 80000-99999 data_scientist
## 240 80000-99999 data_scientist
## 241 80000-99999 data_scientist
## 242 80000-99999 data_scientist
## 243 80000-99999 data_scientist
## 244 80000-99999 data_scientist
## 245 80000-99999 data_scientist
## 246 80000-99999 data_scientist
## 247 80000-99999 data_scientist
## 248 80000-99999 data_scientist
## 249 80000-99999 data_scientist
## 250 80000-99999 data_scientist
## 251 80000-99999 data_scientist
## 252 80000-99999 data_scientist
## 253 80000-99999 data_scientist
## 254 80000-99999 data_scientist
## 255 80000-99999 data_scientist
## 256 80000-99999 data_scientist
## 257 80000-99999 data_scientist
## 258 80000-99999 data_scientist
## 259 80000-99999 data_scientist
## 260 80000-99999 data_scientist
## 261 80000-99999 data_scientist
## 262 80000-99999 data_scientist
## 263 80000-99999 data_scientist
## 264 80000-99999 data_scientist
## 265 80000-99999 data_scientist
## 266 80000-99999 data_scientist
## 267 80000-99999 data_scientist
## 268 100000-119999 data_scientist
## 269 100000-119999 data_scientist
## 270 100000-119999 data_scientist
## 271 100000-119999 data_scientist
## 272 100000-119999 data_scientist
## 273 100000-119999 data_scientist
## 274 100000-119999 data_scientist
## 275 100000-119999 data_scientist
## 276 100000-119999 data_scientist
## 277 100000-119999 data_scientist
## 278 100000-119999 data_scientist
## 279 100000-119999 data_scientist
## 280 100000-119999 data_scientist
## 281 100000-119999 data_scientist
## 282 100000-119999 data_scientist
## 283 100000-119999 data_scientist
## 284 100000-119999 data_scientist
## 285 100000-119999 data_scientist
## 286 100000-119999 data_scientist
## 287 100000-119999 data_scientist
## 288 100000-119999 data_scientist
## 289 100000-119999 data_scientist
## 290 100000-119999 data_scientist
## 291 100000-119999 data_scientist
## 292 100000-119999 data_scientist
## 293 100000-119999 data_scientist
## 294 100000-119999 data_scientist
## 295 100000-119999 data_scientist
## 296 100000-119999 data_scientist
## 297 100000-119999 data_scientist
## 298 100000-119999 data_scientist
## 299 100000-119999 data_scientist
## 300 100000-119999 data_scientist
## 301 100000-119999 data_scientist
## 302 100000-119999 data_scientist
## 303 100000-119999 data_scientist
## 304 100000-119999 data_scientist
## 305 100000-119999 data_scientist
## 306 100000-119999 data_scientist
## 307 100000-119999 data_scientist
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## 309 100000-119999 data_scientist
## 310 100000-119999 data_scientist
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## 313 100000-119999 data_scientist
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## 315 100000-119999 data_scientist
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## 319 100000-119999 data_scientist
## 320 100000-119999 data_scientist
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## 322 100000-119999 data_scientist
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## 324 100000-119999 data_scientist
## 325 100000-119999 data_scientist
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## 340 100000-119999 data_scientist
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## 343 100000-119999 data_scientist
## 344 100000-119999 data_scientist
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## 348 100000-119999 data_scientist
## 349 100000-119999 data_scientist
## 350 100000-119999 data_scientist
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## 352 100000-119999 data_scientist
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## 355 100000-119999 data_scientist
## 356 100000-119999 data_scientist
## 357 100000-119999 data_scientist
## 358 100000-119999 data_scientist
## 359 100000-119999 data_scientist
## 360 100000-119999 data_scientist
## 361 100000-119999 data_scientist
## 362 100000-119999 data_scientist
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## 364 100000-119999 data_scientist
## 365 100000-119999 data_scientist
## 366 100000-119999 data_scientist
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## 370 100000-119999 data_scientist
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## 375 100000-119999 data_scientist
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## 379 100000-119999 data_scientist
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## 400 100000-119999 data_scientist
## 401 100000-119999 data_scientist
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## 404 100000-119999 data_scientist
## 405 100000-119999 data_scientist
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## 409 100000-119999 data_scientist
## 410 100000-119999 data_scientist
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## 415 100000-119999 data_scientist
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## 420 100000-119999 data_scientist
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## 422 100000-119999 data_scientist
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## 425 100000-119999 data_scientist
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## 428 100000-119999 data_scientist
## 429 100000-119999 data_scientist
## 430 100000-119999 data_scientist
## 431 100000-119999 data_scientist
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## 433 100000-119999 data_scientist
## 434 100000-119999 data_scientist
## 435 100000-119999 data_scientist
## 436 100000-119999 data_scientist
## 437 100000-119999 data_scientist
## 438 100000-119999 data_scientist
## 439 100000-119999 data_scientist
## 440 100000-119999 data_scientist
## 441 100000-119999 data_scientist
## 442 100000-119999 data_scientist
## 443 100000-119999 data_scientist
## 444 100000-119999 data_scientist
## 445 100000-119999 data_scientist
## 446 100000-119999 data_scientist
## 447 100000-119999 data_scientist
## 448 100000-119999 data_scientist
## 449 100000-119999 data_scientist
## 450 100000-119999 data_scientist
## 451 100000-119999 data_scientist
## 452 100000-119999 data_scientist
## 453 100000-119999 data_scientist
## 454 100000-119999 data_scientist
## 455 100000-119999 data_scientist
## 456 100000-119999 data_scientist
## 457 100000-119999 data_scientist
## 458 100000-119999 data_scientist
## 459 100000-119999 data_scientist
## 460 100000-119999 data_scientist
## 461 100000-119999 data_scientist
## 462 100000-119999 data_scientist
## 463 100000-119999 data_scientist
## 464 100000-119999 data_scientist
## 465 100000-119999 data_scientist
## 466 100000-119999 data_scientist
## 467 100000-119999 data_scientist
## 468 100000-119999 data_scientist
## 469 100000-119999 data_scientist
## 470 100000-119999 data_scientist
## 471 100000-119999 data_scientist
## 472 100000-119999 data_scientist
## 473 100000-119999 data_scientist
## 474 100000-119999 data_scientist
## 475 100000-119999 data_scientist
## 476 100000-119999 data_scientist
## 477 100000-119999 data_scientist
## 478 100000-119999 data_scientist
## 479 100000-119999 data_scientist
## 480 100000-119999 data_scientist
## 481 100000-119999 data_scientist
## 482 100000-119999 data_scientist
## 483 100000-119999 data_scientist
## 484 100000-119999 data_scientist
## 485 100000-119999 data_scientist
## 486 100000-119999 data_scientist
## 487 100000-119999 data_scientist
## 488 100000-119999 data_scientist
## 489 100000-119999 data_scientist
## 490 100000-119999 data_scientist
## 491 100000-119999 data_scientist
## 492 100000-119999 data_scientist
## 493 100000-119999 data_scientist
## 494 100000-119999 data_scientist
## 495 100000-119999 data_scientist
## 496 100000-119999 data_scientist
## 497 100000-119999 data_scientist
## 498 100000-119999 data_scientist
## 499 100000-119999 data_scientist
## 500 100000-119999 data_scientist
## Skill
## 1 ['Machine Learning', 'R', 'SAS', 'SQL', 'Python']
## 2 ['Data Mining', 'Data Management', 'R', 'SAS', 'SQL', 'STATA', 'SPSS', 'Data Analysis', 'Python']
## 3 ['Certified Internal Auditor']
## 4 ['Statistical Software', 'Time Management', 'R', 'Microsoft Office', 'Excel', 'Tableau', 'Data Science']
## 5 ['AI', 'Quantitative Analysis', 'Data Mining', 'Machine Learning', 'Analysis Skills', 'CSS']
## 6 ['Statistical Software', 'Machine Learning', 'R', 'Image Processing', 'SQL', 'Cloud Computing', 'ArcGIS', 'GIS', 'Python', 'AWS']
## 7 ['Machine Learning', 'R', 'SQL']
## 8 ['Linux', 'R', 'C/C++', 'Python']
## 9 ['Machine Learning', 'R', 'SPSS', 'Data Analysis', 'Statistical Software', 'Data Mining', 'SAS', 'Python']
## 10 ['Machine Learning', 'R', 'SPSS', 'Data Analysis', 'Statistical Software', 'Data Mining', 'SAS', 'Python']
## 11 ['Machine Learning', 'Analysis Skills', 'Data Science']
## 12 ['Machine Learning', 'Python']
## 13 ['TensorFlow', 'Project Planning', 'Linux', 'Machine Learning', 'C/C++', 'Python', 'Jira']
## 14 ['Machine Learning', 'R', 'SQL', 'Analysis Skills', 'Python', 'Data Science']
## 15 ['Microsoft SQL Server', 'Data Mining', 'Machine Learning', 'Visual Basic', 'R', 'SAS', 'SQL', 'Excel', 'Tableau', 'Microsoft Access', 'SPSS', 'Python']
## 16 ['Machine Learning']
## 17 ['LMRT', 'Machine Learning']
## 18 ['AI', 'Data Mining', 'Machine Learning', 'R', 'Natural Language Processing', 'Data Science', 'Python']
## 19 ['IIS', 'TS/SCI Clearance']
## 20 ['IIS', 'TS/SCI Clearance']
## 21 ['Statistical Software', 'SAS', 'SQL', 'Tableau']
## 22 ['Microsoft SQL Server', 'Data Management', 'Power BI', 'CAD Software', 'SQL', 'Microsoft Access', 'SharePoint', 'ArcGIS']
## 23 ['Data Mining', 'R', 'Python']
## 24 ['AI', 'Data Mining', 'Machine Learning', 'R', 'Natural Language Processing', 'Data Science', 'Python']
## 25
## 26
## 27 ['TensorFlow', 'Machine Learning', 'Git', 'Python', 'SVN']
## 28 ['TensorFlow', 'JavaScript', 'React', 'Data Mining', 'Adobe Photoshop', 'Machine Learning', 'CSS', 'HTML5']
## 29 ['TensorFlow', 'Machine Learning', 'R', 'Python', 'C/C++', 'SQL']
## 30
## 31 ['Machine Learning', 'Scripting', 'R', 'Perl', 'SQL', 'MATLAB', 'Python']
## 32
## 33 ['Splunk', 'Data Mining', 'Machine Learning', 'Data Science']
## 34 ['Grant Writing']
## 35 ['Natural Language Processing', 'Hive', 'Spark', 'Microsoft Powerpoint', 'Machine Learning', 'Hadoop', 'MATLAB', 'Python']
## 36 ['Data Mining', 'Statisical Analysis', 'Qualitative Research']
## 37 ['Java', 'R', 'SAS', 'Python', 'SQL', 'Tableau']
## 38 ['AI', 'Quantitative Analysis', 'Microsoft SQL Server', 'Machine Learning', 'Visual Basic', 'R', 'SQL', '.Net', 'C#', 'Python']
## 39 ['Big Data', 'Natural Language Processing', 'Spark', 'Machine Learning', 'Hadoop']
## 40 ['Big Data', 'Natural Language Processing', 'Spark', 'Machine Learning', 'Hadoop']
## 41 ['TensorFlow', 'Machine Learning', 'Image Processing', 'C/C++']
## 42 ['Machine Learning', 'Microsoft Powerpoint', 'Microsoft Office']
## 43 ['.Net', 'C#', 'Machine Learning', 'Software Development', 'MATLAB', 'Image Processing', 'Signal Processing', 'Python', 'C/C++']
## 44 ['AI', 'Machine Learning']
## 45 ['Java', 'Data Mining', 'Machine Learning', 'Design Experience', 'Scripting', 'R', 'SAS', 'Python']
## 46 ['Pentaho', 'Excel']
## 47 ['Data Mining']
## 48 ['Microsoft SQL Server', 'Data Mining', 'R', 'Oracle', 'SAS', 'SQL', 'DB2']
## 49
## 50 ['Natural Language Processing', 'Machine Learning']
## 51 ['AI', 'Next Generation Sequencing', 'Machine Learning', 'Bioinformatics']
## 52 ['Microsoft SQL Server', 'Data Mining', 'R', 'Oracle', 'SAS', 'SQL', 'DB2']
## 53
## 54 ['.Net', 'Data Mining', 'C#', 'Machine Learning', 'R', 'C/C++', 'Python', 'SQL']
## 55 ['Data Mining', 'Data Warehouse', 'R', 'SAS', 'Statisical Analysis', 'Python', 'SQL']
## 56
## 57 ['Machine Learning', 'R', 'Microsoft Office', 'SQL', 'Alteryx', 'Data Warehouse', 'Python']
## 58 ['Machine Learning', 'R', 'Perl', 'C/C++', 'SQL', 'Big Data', 'SPSS', 'MATLAB', 'Data Mining', 'Ruby', 'Hadoop', 'SAS', 'Tableau', 'Java', 'Spark', 'Git', 'Python', 'Data Science']
## 59 ['R', 'Marketing', 'SAS', 'SQL', 'Python']
## 60
## 61 ['Machine Learning', 'R', 'SAS', 'Python', 'SQL']
## 62 ['Data Mining', 'Statisical Analysis', 'Customer Service']
## 63 ['Java', 'AI', 'Machine Learning']
## 64 ['Predictive Analytics', 'Hive', 'Spark', 'Machine Learning', 'Python', 'SQL', 'AWS']
## 65 ['Business Intelligence', 'Data Mining', 'Machine Learning', 'R', 'SAS', 'Sentiment Analytics', 'SQL', 'SPSS', 'Data Science', 'Python']
## 66 ['Machine Learning', 'Data Management', 'MATLAB', 'R', 'SAS']
## 67 ['JavaScript', 'Machine Learning', 'XML', 'Hadoop', 'R', 'SQL', 'HTML5', 'Shell Scripting', 'CSS', 'Python', 'AWS']
## 68 ['JavaScript', 'Machine Learning', 'XML', 'Hadoop', 'R', 'SQL', 'HTML5', 'Shell Scripting', 'CSS', 'Python', 'AWS']
## 69 ['Data Mining', 'R', 'SAS', 'Sentiment Analytics', 'Microsoft Office', 'Tableau', 'Natural Language Processing', 'Python', 'Data Science']
## 70 ['Machine Learning', 'R', 'SAS', 'Microsoft Office', 'SQL']
## 71 ['Business Intelligence', 'Power BI', 'Tableau']
## 72 ['Data Mining', 'Machine Learning', 'Project Management', 'Azure', 'Google Cloud Platform', 'SAS', 'SQL', 'Cloud Computing', 'Data Warehouse', 'Python', 'AWS']
## 73 ['Data Mining', 'Machine Learning', 'R', 'Python', 'SQL']
## 74 ['Data Mining', 'Machine Learning', 'R', 'Python', 'Excel', 'SQL']
## 75 ['MySQL', 'Machine Learning', 'R', 'Python']
## 76 ['Data Mining', 'Tableau']
## 77 ['Salesforce CRM', 'Pardot', 'Marketing Automation', 'SQL']
## 78 ['Certified Internal Auditor', 'UI']
## 79 ['Statistical Software', 'R', 'SAS', 'Microsoft Office', 'Excel', 'SQL', 'Big Data', 'Alteryx', 'SPSS', 'MATLAB', 'Six Sigma Certification', 'Six Sigma', 'Google Suite', 'Python']
## 80 ['Machine Learning', 'R', 'SQL', 'MATLAB', 'Python', 'Signal Processing']
## 81 ['Perl', 'Statisical Analysis', 'C/C++', 'Java', 'Troubleshooting', 'Python']
## 82 ['.Net', 'C#', 'Machine Learning']
## 83 ['Microsoft SQL Server', 'Microsoft Powerpoint', 'Visual Basic', 'SAP', 'SQL', 'Tableau', 'Six Sigma Certification']
## 84 ['Data Mining', 'Machine Learning']
## 85 ['Business Intelligence', 'SQL', 'Excel', 'Microsoft Access']
## 86 ['Machine Learning', 'Visual Basic', 'R', 'Oracle', 'C/C++', 'SQL', 'Java', 'Python']
## 87 ['JavaScript', 'Spark', 'Machine Learning', 'Hadoop', 'Data Science']
## 88 ['Data Mining', 'Machine Learning', 'R', 'Python', 'SQL']
## 89 ['Machine Learning', 'Python', 'SQL', 'AWS']
## 90 ['Linux', 'Data Mining', 'R', 'Python', 'SQL']
## 91 ['Machine Learning', 'R', 'SAS', 'SQL', 'Customer Service', 'Teradata']
## 92 ['Microsoft Powerpoint', 'Visual Basic', 'R', 'Python', 'SQL', 'Microsoft Office', 'Tableau']
## 93 ['Statistical Software', 'Data Mining', 'Microsoft SQL Server', 'Microsoft Powerpoint', 'R', 'Marketing', 'SAS', 'Oracle', 'Microsoft Office', 'Minitab', 'Teradata', 'STATA', 'SPSS', 'MATLAB', 'Python']
## 94 ['Machine Learning', 'R', 'SQL']
## 95 ['Linux', 'Data Mining', 'Machine Learning', 'R', 'SAS', 'SQL', 'Natural Language Processing', 'Python']
## 96 ['Machine Learning', 'R', 'Python', 'SQL']
## 97 ['TensorFlow', 'Hive', 'Hadoop', 'R', 'Python', 'SQL']
## 98 ['Data Mining', 'Machine Learning', 'R', 'SAS', 'Data Science', 'Python', 'SQL']
## 99 ['Hive', 'Machine Learning', 'R', 'Python', 'SQL']
## 100 ['AI', 'Data Mining', 'Microsoft SQL Server', 'Machine Learning', 'R', 'SAS', 'SQL', 'Tableau', 'ACH', 'Six Sigma', 'Python', 'DB2']
## 101 ['JavaScript', 'Machine Learning', 'XML', 'Hadoop', 'R', 'SQL', 'HTML5', 'Shell Scripting', 'CSS', 'Python', 'AWS']
## 102 ['R', 'Bioinformatics', 'SQL', 'Software Development', 'NoSQL', 'Python']
## 103 ['NoSQL', 'Project Management', 'Python', 'SQL']
## 104 ['Time Management', 'Machine Learning', 'Project Management', 'R', 'SAS', 'SQL', 'Python']
## 105 ['XML', 'R', 'JSON', 'Git', 'REST', 'PostgreSQL', 'Data Analysis', 'Python']
## 106 ['JavaScript', 'Google Analytics', 'Marketing', 'Python', 'SQL', 'Tableau']
## 107 ['Linux', 'Perl', 'R', 'Bioinformatics', 'MySQL', 'Design Experience', 'Software Development', 'Cell Biology', 'Statistical Software', 'Oracle', 'Java', 'Python']
## 108 ['Node.js', 'JavaScript', 'AI', 'Machine Learning', 'R', 'Python', 'SQL']
## 109 ['JavaScript', 'R', 'SQL', 'Excel', 'Tableau', 'Java', 'MySQL', 'NoSQL', 'Python', 'DB2']
## 110 ['Project Management', 'R', 'SAS', 'Python', 'Tableau']
## 111 ['TensorFlow', 'Data Mining', 'Machine Learning']
## 112 ['Linux', 'R', 'MySQL', 'Git', 'Immunoassays']
## 113 ['Machine Learning', 'Image Processing']
## 114 ['Machine Learning', 'Visual Basic', 'R', 'Python']
## 115 ['Machine Learning', 'Visual Basic', 'R', 'Python']
## 116 ['Data Mining', 'Machine Learning', 'Military Experience', 'RMF']
## 117 ['Microsoft SQL Server', 'Data Mining', 'R', 'Oracle', 'SAS', 'SQL', 'Big Data', 'DB2']
## 118 ['Machine Learning', 'R', 'SQL', 'Analysis Skills', 'Python', 'Data Science']
## 119 ['TensorFlow', 'Data Mining', 'Machine Learning']
## 120 ['Machine Learning', 'Hadoop', 'Azure', 'R', 'SQL', 'T-SQL', 'PL/SQL', 'Spark', 'Git', 'Software Development', 'Python', 'AWS']
## 121 ['AI', 'Data Mining', 'Machine Learning', 'Six Sigma', 'Lean', 'Microsoft Office']
## 122 ['Machine Learning', 'R', 'Python']
## 123 ['AI', 'Machine Learning', 'R', 'Python']
## 124 ['Machine Learning', 'Data Management', 'MATLAB', 'R', 'SAS']
## 125 ['Microsoft Powerpoint', 'Visual Basic', 'R', 'Python', 'SQL', 'Microsoft Office', 'Tableau']
## 126 ['Power BI', 'R', 'JSON', 'SQL', 'Tableau', 'Java', 'Natural Language Processing', 'MATLAB', 'OOP', 'Python']
## 127 ['Data Mining', 'Machine Learning', 'R', 'Java', 'Natural Language Processing', 'Python']
## 128 ['Statistical Software', 'Data Analysis', 'R', 'SAS', 'Tableau']
## 129 ['Microsoft Powerpoint', 'R', 'SAS', 'Microsoft Office', 'Excel', 'SQL', 'Managed Care']
## 130 ['Microsoft Office']
## 131 ['Microsoft SQL Server', 'Data Mining', 'R', 'Oracle', 'SAS', 'SQL', 'Teradata']
## 132 ['Statistical Software', 'Business Intelligence', 'Data Mining', 'Analysis Skills', 'Data Analysis', 'SAS', 'Business Analysis', 'SQL']
## 133 ['Java', 'MATLAB', 'Data Science', 'Python']
## 134 ['Statistical Software', 'R', 'SAS', 'SQL', 'SPSS', 'Python']
## 135 ['Machine Learning']
## 136 ['Microsoft Office']
## 137 ['R', 'Statisical Analysis', 'SAS', 'Minitab', 'SPSS', 'Python']
## 138 ['AI', 'Data Mining', 'Machine Learning']
## 139 ['Hive', 'Data Mining', 'Machine Learning', 'Scripting', 'R', 'SQL', 'HBase', 'MongoDB', 'NoSQL', 'MATLAB']
## 140 ['Machine Learning']
## 141 ['Pig', 'Machine Learning', 'R', 'Perl', 'Sentiment Analytics', 'SQL', 'MySQL', 'SPSS', 'PostgreSQL', 'AI', 'Data Mining', 'Weka', 'Oracle', 'SAS', 'Minitab', 'Tableau', 'Spark', 'Python', 'Data Science']
## 142 ['Statistical Software', 'Microsoft Powerpoint', 'R', 'SAS', 'STATA', 'Microsoft Word', 'SPSS']
## 143 ['AI']
## 144 ['SAS', 'Excel', 'SQL', 'Microsoft Access']
## 145 ['Quantitative Analysis', 'Visual Basic', 'R', 'Oracle', 'C/C++', 'Excel', 'SQL', 'Tableau', 'ArcGIS', 'Troubleshooting', 'QlikView', 'Python', 'GIS']
## 146 ['AI', 'Machine Learning', 'R', 'SQL', 'Data Analysis', 'Python']
## 147 ['Hive', 'Data Mining', 'Ruby', 'Machine Learning', 'Hadoop', 'R', 'Statisical Analysis', 'C/C++', 'Java', 'Spark', 'MATLAB', 'Python', 'PHP']
## 148 ['TensorFlow', 'Machine Learning', 'R', 'MATLAB', 'Data Science', 'Python', 'C/C++']
## 149 ['Data Mining', 'Microsoft SQL Server', 'Machine Learning', 'R', 'SAS', 'SQL', 'Tableau', 'ACH', 'Six Sigma', 'Python', 'DB2']
## 150 ['TensorFlow', 'Hive', 'Machine Learning', 'R', 'Azure', 'Google Cloud Platform', 'Statisical Analysis', 'C/C++', 'SQL', 'MySQL', 'S3', 'JavaScript', 'Data Mining', 'Hadoop', 'Scripting', 'Java', 'Spark', 'Python', 'Data Science']
## 151 ['Machine Learning', 'C/C++', 'SQL', 'Troubleshooting', 'NoSQL', 'Python']
## 152 ['Machine Learning', 'Data Management', 'Network', 'R', 'C/C++', 'JSON', 'SQL', 'Haskell', 'Java', 'CI', 'Unit Testing', 'NoSQL', 'MATLAB', 'Python', 'OOP']
## 153 ['Data Mining', 'Machine Learning', 'R', 'Statisical Analysis', 'Java', 'Natural Language Processing', 'MATLAB', 'Python']
## 154 ['Linux', 'System Design', 'Survival Analysis', 'Machine Learning', 'R', 'SQL', 'Java', 'MATLAB', 'Python']
## 155 ['Database Administration', 'Microsoft SQL Server', 'R', 'PostgreSQL', 'MATLAB', 'OOP', 'PHP', 'Drupal', 'Software Testing', 'SAS', 'Microsoft Office', 'Content Management Systems', 'ArcGIS', 'Troubleshooting', 'WordPress']
## 156 ['TensorFlow', 'Linux', 'Machine Learning', 'C/C++', 'Python', 'Jira']
## 157 ['Data Mining', 'SAS', 'Excel', 'SQL', 'Microsoft Access']
## 158 ['Java', 'Machine Learning', 'Python']
## 159 ['Big Data', 'SAS']
## 160 ['TensorFlow', 'Microsoft Project', 'Data Mining', 'Machine Learning', 'Hadoop', 'R', 'Scala', 'SAS', 'SQL', 'Excel', 'Tableau', 'Big Data', 'Natural Language Processing', 'Spark', 'SPSS', 'Visio', 'Python']
## 161 ['Data Mining', 'Project Management', 'R', 'SAS', 'SQL', 'Teradata', 'Tableau', 'Python']
## 162 ['PL/SQL', 'Data Mining', 'Machine Learning', 'R', 'Weka', 'MATLAB', 'Oracle', 'Python']
## 163 ['Machine Learning', 'SPSS', 'R', 'SAS', 'Python', 'Tableau']
## 164 ['Project Management', 'R', 'SAP', 'SAS', 'SQL', 'Tableau', 'SPSS', 'QlikView', 'MATLAB']
## 165
## 166 ['Linux', 'Red Hat Enterprise Linux', 'CompTIA Security+', 'R', 'C/C++', 'SQL', 'JSON', 'MCSD', 'C#', 'Ruby', 'Kafka', 'Java', '.Net', 'Shell Scripting', 'Python', 'Elasticsearch']
## 167 ['Linux', 'Red Hat Enterprise Linux', 'CompTIA Security+', 'R', 'C/C++', 'SQL', 'JSON', 'MCSD', 'C#', 'Ruby', 'Kafka', 'Java', '.Net', 'Shell Scripting', 'Python', 'Elasticsearch']
## 168 ['Data Mining', 'Machine Learning', 'Power BI', 'R', 'Microsoft Office', 'Python', 'Data Science']
## 169 ['Java', 'Hive', 'Spark', 'Machine Learning', 'Hadoop', 'MATLAB', 'Data Science']
## 170 ['TensorFlow', 'Linux', 'Machine Learning', 'C/C++', 'Python', 'Jira']
## 171 ['Data Mining', 'Machine Learning']
## 172 ['JavaScript', 'R', 'SQL', 'Python']
## 173 ['JavaScript', 'R', 'SQL', 'Python']
## 174 ['Hive', 'Machine Learning', 'Hadoop', 'Scripting', 'R', 'Scala', 'SAS', 'SQL', 'Big Data', 'Java', 'Natural Language Processing', 'Spark', 'Python']
## 175
## 176 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 177 ['Pig', 'Linux', 'Hive', 'Machine Learning', 'Hadoop', 'Power BI', 'R', 'SQL', 'Tableau', 'Spark', 'Python', 'AWS']
## 178 ['Machine Learning', 'R', 'Azure', 'Data Science', 'Python']
## 179 ['Machine Learning', 'R', 'Azure', 'Data Science', 'Python']
## 180 ['Machine Learning', 'R', 'Azure', 'Data Science', 'Python']
## 181 ['Data Mining', 'Machine Learning', 'SPSS', 'R', 'SAS', 'Data Science']
## 182 ['TensorFlow', 'Linux', 'AI', 'Microsoft SQL Server', 'Machine Learning', 'Hadoop', 'Scala', 'Oracle', 'SQL', 'Teradata', 'Spark', 'Software Development', 'Python', 'DB2']
## 183 ['Microsoft SQL Server', 'R', 'SQL', '.Net', 'C#', 'QlikView', 'Software Development', 'REST']
## 184 ['Machine Learning', 'Analysis Skills', 'Data Science']
## 185
## 186 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 187 ['Project Management', 'R', 'C/C++', 'Java', 'MATLAB', 'Python']
## 188 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 189 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 190 ['Linux', 'Red Hat Enterprise Linux', 'CompTIA Security+', 'R', 'C/C++', 'SQL', 'JSON', 'MCSD', 'C#', 'Ruby', 'Kafka', 'Java', '.Net', 'Shell Scripting', 'Python', 'Elasticsearch']
## 191 ['Linux', 'Red Hat Enterprise Linux', 'CompTIA Security+', 'R', 'C/C++', 'SQL', 'JSON', 'MCSD', 'C#', 'Ruby', 'Kafka', 'Java', '.Net', 'Shell Scripting', 'Python', 'Elasticsearch']
## 192 ['Statistical Software', 'Hive', 'R', 'SAS', 'SQL', 'Tableau', 'Big Data', 'Spark', 'QlikView', 'Python']
## 193 ['Statistical Software', 'AI', 'Data Mining', 'Microsoft Powerpoint', 'SAS', 'SQL', 'Tableau', 'Microsoft Word', 'Python']
## 194 ['Machine Learning', 'TS/SCI Clearance', 'Hadoop', 'R', 'Scala', 'Kafka', 'Tableau', 'Splunk', 'Java', 'Big Data', 'Spark', 'Data Warehouse', 'Design Experience', 'Docker', 'Python']
## 195 ['Survival Analysis', 'Microsoft Powerpoint', 'XML', 'Project Management', 'R', 'Statisical Analysis', 'SAS', 'Oracle', 'SQL', 'Excel', 'Microsoft Office', 'HTML5', 'Tableau', 'SPSS', 'NoSQL', 'MATLAB', 'Python']
## 196 ['Big Data', 'AI', 'Data Mining', 'R', 'Python']
## 197 ['R', 'SAS', 'SQL', 'Tableau', 'Predictive Analytics', 'Python']
## 198 ['AI', 'Machine Learning', 'R', 'Python']
## 199 ['IAT', 'Kafka', 'Cloud Computing', 'IDS', 'IAT Level II', 'Python']
## 200 ['TensorFlow', 'Statistical Software', 'AI', 'Data Mining', 'Machine Learning', 'Hadoop', 'R', 'SAS', 'SQL', 'Java', 'Natural Language Processing', 'Spark', 'SPSS', 'Python']
## 201 ['Linux', 'Red Hat Enterprise Linux', 'CompTIA Security+', 'R', 'C/C++', 'SQL', 'JSON', 'MCSD', 'C#', 'Ruby', 'Kafka', 'Java', '.Net', 'Shell Scripting', 'Python', 'Elasticsearch']
## 202 ['Data Mining', 'Machine Learning', 'R', 'Bioinformatics', 'Clinical Trials', 'Java', 'AWS']
## 203 ['Big Data', 'Machine Learning', 'Python', 'SQL']
## 204 ['Machine Learning', 'Power BI', 'R', 'Azure', 'SDLC', 'SAS', 'SQL', 'Tableau', 'Software Development', 'Python']
## 205 ['Quantitative Analysis', 'TS/SCI Clearance', 'R', 'SAS', 'Oracle', 'C/C++', 'SQL', 'Excel', 'Tableau', 'STATA', 'SPSS', 'QlikView', 'MATLAB', 'Python']
## 206 ['Data Mining', 'Machine Learning', 'R', 'SQL', 'Java', 'SSL', 'Natural Language Processing', 'Spark', 'DNS', 'Python', 'TCP/IP', 'TCP']
## 207 ['Machine Learning', 'R', 'Python', 'SQL']
## 208 ['Quantitative Analysis', 'Visual Basic', 'R', 'Oracle', 'C/C++', 'Excel', 'SQL', 'Tableau', 'ArcGIS', 'Troubleshooting', 'QlikView', 'Python', 'GIS']
## 209 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 210 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 211 ['Machine Learning']
## 212 ['Linux', 'Red Hat Enterprise Linux', 'CompTIA Security+', 'R', 'C/C++', 'SQL', 'JSON', 'MCSD', 'C#', 'Ruby', 'Kafka', 'Java', '.Net', 'Shell Scripting', 'Python', 'Elasticsearch']
## 213 ['Machine Learning', 'C/C++', 'SQL', 'Big Data', 'Splunk', 'Design Experience', 'MATLAB', 'Military Experience', 'Data Mining', 'Hadoop', 'Java', 'Shell Scripting', 'Python']
## 214 ['AI', 'Machine Learning']
## 215 ['Data Mining', 'XML', 'SQL', 'Design Experience']
## 216 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 217 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 218 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 219 ['Linux', 'Machine Learning', 'Image Processing', 'C/C++', 'Microsoft Office', 'Java', 'Medical Imaging', 'MATLAB']
## 220 ['Statistical Software', 'Data Mining', 'SAS']
## 221 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 222 ['Customer Segmentation', 'Hadoop', 'R', 'Marketing', 'SAS', 'Digital Marketing', 'Python', 'SQL']
## 223 ['Machine Learning', 'Image Processing']
## 224 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 225 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 226 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 227 ['Linux', 'Red Hat Enterprise Linux', 'CompTIA Security+', 'R', 'C/C++', 'SQL', 'JSON', 'MCSD', 'C#', 'Ruby', 'Kafka', 'Java', '.Net', 'Shell Scripting', 'Python', 'Elasticsearch']
## 228 ['Machine Learning', 'Scripting', 'R', 'Weka', 'C/C++', 'SQL', 'MATLAB', 'Python']
## 229 ['TensorFlow', 'Time Management', 'Machine Learning', 'Microsoft Powerpoint', 'Project Management', 'C/C++', 'Microsoft Office', 'Natural Language Processing', 'Python']
## 230 ['Machine Learning', 'C/C++', 'Big Data', 'Natural Language Processing', 'Data Analysis', 'Information Security', 'Data Mining', 'Network', 'Scala', 'Kafka', 'Java', 'Spark', 'Python']
## 231 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 232 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 233 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 234 ['Machine Learning', 'Power BI', 'R', 'Azure', 'SDLC', 'SAS', 'SQL', 'Tableau', 'Software Development', 'Python']
## 235 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 236 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 237 ['TS/SCI Clearance', 'Visual Basic', 'Hadoop', 'R', 'SQL', 'Troubleshooting', 'Python']
## 238 ['TensorFlow', 'Time Management', 'Machine Learning', 'Microsoft Powerpoint', 'Project Management', 'C/C++', 'Microsoft Office', 'Python', 'OOP']
## 239 ['Machine Learning', 'XML', 'Perl', 'R', 'C/C++', 'SQL', 'JSON', 'Natural Language Processing', 'PL/SQL', 'SPSS', 'Data Analysis', 'MATLAB', 'Visual Basic', 'Hadoop', 'SAS', 'Microsoft Access', 'QlikView', 'Python', 'Elasticsearch']
## 240 ['Quantitative Analysis', 'Visual Basic', 'R', 'Oracle', 'C/C++', 'Excel', 'SQL', 'Tableau', 'ArcGIS', 'Troubleshooting', 'QlikView', 'Python', 'GIS']
## 241 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 242 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 243 ['Machine Learning']
## 244 ['Statistical Software', 'Machine Learning', 'R', 'SAS', 'C/C++', 'Quantitative Research', 'SQL', 'Tableau', 'Java', 'STATA', 'SPSS', 'Git', 'NoSQL', 'MATLAB', 'Python']
## 245 ['JavaScript', 'TensorFlow', 'Machine Learning', 'Hadoop', 'Big Data', 'SaaS', 'Software Development', 'REST', 'Python']
## 246 ['Alteryx', 'Project Management', 'Microsoft Office', 'Tableau']
## 247 ['Go', 'R', 'SQL', 'Excel', 'Big Data', 'SPSS', 'PostgreSQL', 'AI', 'Microsoft Powerpoint', 'Hadoop', 'Scala', 'Marketing', 'Kafka', 'SAS', 'Oracle', 'Tableau', 'FTP', 'Redis', 'Python']
## 248 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 249 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 250
## 251 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 252 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 253 ['Machine Learning', 'R', 'SQL', 'Tableau', 'Data Analysis', 'MATLAB', 'Leadership Experience', 'Python']
## 254 ['TensorFlow', 'Time Management', 'Machine Learning', 'Microsoft Powerpoint', 'Project Management', 'C/C++', 'Microsoft Office', 'Python', 'OOP', 'Signal Processing']
## 255 ['TensorFlow', 'Machine Learning', 'Scala', 'R', 'C/C++', 'Java', 'Spark']
## 256 ['Machine Learning']
## 257 ['Pig', 'TensorFlow', 'Hive', 'Machine Learning', 'C/C++', 'SQL', 'Big Data', 'Natural Language Processing', 'Data Analysis', 'OOP', 'AI', 'Hadoop', 'Scripting', 'Kafka', 'HBase', 'Java', 'Cassandra', 'MongoDB', 'Spark']
## 258 ['AI', 'Machine Learning', 'R', 'Python', 'AWS']
## 259 ['TensorFlow', 'Time Management', 'Machine Learning', 'Microsoft Powerpoint', 'Project Management', 'C/C++', 'Microsoft Office', 'Natural Language Processing', 'Data Analysis', 'Python', 'OOP', 'Signal Processing']
## 260 ['JavaScript', 'Pig', 'Data Mining', 'Machine Learning', 'TS/SCI Clearance', 'R', 'SQL', 'Big Data', 'GIS', 'Python', 'Elasticsearch']
## 261 ['AI', 'Machine Learning', 'Network', 'SAS', 'Java', 'Python']
## 262 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 263 ['Java', 'TensorFlow', 'AI', 'Machine Learning', 'Python', 'C/C++']
## 264 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 265 ['TensorFlow', 'AI', 'Hadoop', 'SQL', 'Natural Language Processing', 'Spark']
## 266 ['TS/SCI Clearance', 'Visual Basic', 'Hadoop', 'R', 'SQL', 'Troubleshooting', 'Python']
## 267 ['TensorFlow', 'Linux', 'Machine Learning', 'Google Cloud Platform', 'Azure', 'Solr', 'SQL', 'Natural Language Processing', 'OOP', 'Threading', 'AI', 'Image Processing', 'Git', 'Python', 'Elasticsearch', 'AWS']
## 268 ['Java', '.Net', 'C#', 'Machine Learning', 'Power BI', 'R', 'Python', 'SQL', 'Tableau']
## 269 ['C/C++', 'MATLAB', 'Python']
## 270 ['JavaScript', 'Data Mining', 'XML', 'Hadoop', 'R', 'Oracle', 'SAS', 'SQL', 'SPSS', 'Data Science', 'Python']
## 271 ['TensorFlow', 'Linux', 'Machine Learning', 'Git', 'Python', 'SQL']
## 272 ['R', 'SAS', 'Python', 'Microsoft Office']
## 273 ['TensorFlow', 'Machine Learning', 'Git', 'MATLAB', 'Signal Processing', 'Python', 'SVN']
## 274 ['Predictive Analytics', 'Machine Learning', 'R', 'Image Processing', 'Python', 'SQL', 'AWS']
## 275 ['Data Mining']
## 276 ['Data Mining', 'Machine Learning', 'Power BI', 'R', 'Azure', 'SQL', 'Cloud Computing', 'Python']
## 277
## 278 ['JavaScript', 'Hive', 'Data Mining', 'Machine Learning', 'Hadoop', 'R', 'Statisical Analysis', 'C/C++', 'SQL', 'Java', 'MySQL', 'Spark', 'Python', 'Data Science']
## 279
## 280 ['TensorFlow', 'Linux', 'Hive', 'Machine Learning', 'Azure', 'SQL', 'Big Data', 'Software Development', 'Hadoop', 'Scala', 'Java', 'Cassandra', 'Spark', 'NoSQL', 'Python', 'Data Science', 'AWS']
## 281 ['Linux', 'TS/SCI Clearance', 'Hadoop', 'Scala', 'Eclipse', 'SQL', 'Java', 'MongoDB', 'Spark', 'Git', 'NoSQL', 'Redis', 'Python', 'Elasticsearch']
## 282 ['Pig', 'Linux', 'Hive', 'Data Mining', 'Microsoft SQL Server', 'Time Management', 'Hadoop', 'R', 'Oracle', 'SAS', 'SQL', 'Tableau', 'Big Data', 'SPSS', 'Data Analysis', 'Python']
## 283 ['Machine Learning', 'Git', 'Software Development']
## 284 ['Hadoop', 'NoSQL', 'R']
## 285 ['Scripting', 'Project Management', 'R', 'Scala', 'Microsoft Word', 'Spark', 'Telecommunication', 'Data Analysis', 'Python']
## 286 ['Scripting', 'Project Management', 'R', 'Scala', 'Microsoft Word', 'Spark', 'Telecommunication', 'Data Analysis', 'Python']
## 287 ['Data Mining']
## 288 ['Big Data', 'Machine Learning', 'Design Experience', 'Python', 'UX']
## 289 ['TensorFlow', 'Machine Learning', 'Project Management', 'R', 'C/C++', 'SQL', 'Java', 'Data Warehouse', 'Python']
## 290 ['Visual Studio', 'Data Mining', 'Microsoft SQL Server', 'SQL']
## 291 ['Python', 'SQL', 'AWS']
## 292 ['Data Mining', 'Machine Learning']
## 293 ['Pig', 'Hive', 'Data Mining', 'Machine Learning', 'Hadoop', 'R', 'SAS', 'SQL', 'Leadership Experience', 'Data Science', 'Python']
## 294
## 295 ['Java', 'Machine Learning', 'R', 'Python', 'C/C++']
## 296 ['Data Mining', 'Machine Learning', 'R', 'MySQL', 'Spark', 'Software Development', 'MATLAB', 'Python', 'AWS']
## 297 ['.Net', 'Natural Language Processing', 'C#', 'Hadoop', 'Data Analysis', 'R', 'Python']
## 298 ['TensorFlow', 'Data Mining', 'Machine Learning', 'R', 'Python']
## 299 ['Pig', 'TensorFlow', 'Hive', 'Machine Learning', 'R', 'Weka', 'SQL', 'PostgreSQL', 'MATLAB', 'Python', 'AWS']
## 300
## 301 ['TensorFlow', 'Machine Learning', 'Image Processing', 'Python']
## 302 ['Hive', 'Hadoop', 'Scripting', 'R', 'Perl', 'SAS', 'SQL', 'Tableau', 'STATA', 'MATLAB', 'Python', 'PHP']
## 303 ['Hive', 'Microsoft SQL Server', 'Data Analysis', 'R', 'Python', 'SQL', 'Tableau']
## 304 ['Machine Learning', 'R', 'DynamoDB', 'Azure', 'SQL', 'Cloud Computing', 'Scripting', 'Hadoop', 'Spark', 'Shell Scripting', 'NoSQL', 'Python', 'Data Science', 'AWS']
## 305 ['Statistical Software', 'Machine Learning', 'R', 'SAS', 'Python']
## 306 ['Machine Learning', 'Scripting', 'Power BI', 'R', 'Lean', 'SQL', 'Tableau', 'MongoDB', 'Design Experience', 'NoSQL', 'Python', 'AWS']
## 307 ['Linux', 'AI', 'Machine Learning', 'Power BI', 'Hadoop', 'R', 'Perl', 'SAS', 'Tableau', 'Java', 'Big Data', 'Supervising Experience', 'Predictive Analytics', 'OOP', 'Python']
## 308 ['Hive', 'Microsoft SQL Server', 'R', 'Perl', 'SQL', 'Big Data', 'PHP', 'AI', 'Quantitative Analysis', 'Data Mining', 'Scripting', 'Hadoop', 'SAS', 'Oracle', 'Cassandra', 'Spark', 'Python', 'DB2']
## 309 ['AI', 'Machine Learning', 'Hadoop', 'Scala', 'R', 'SAS', 'C/C++', 'SQL', 'Big Data', 'Java', 'Spark', 'Design Experience', 'Python', 'Data Science']
## 310 ['R', 'SAS', 'Python', 'Microsoft Office']
## 311 ['Microsoft SQL Server', 'Data Mining', 'R', 'Oracle', 'SAS', 'SQL', 'DB2']
## 312 ['Data Mining', 'NoSQL', 'R', 'Statisical Analysis', 'Python', 'SQL']
## 313 ['Design Experience', 'REST', 'R', 'Python', 'SQL']
## 314 ['Data Mining', 'Statisical Analysis']
## 315 ['Data Mining', 'Machine Learning', 'Hadoop', 'R', 'Java', 'Big Data', 'Spark', 'SPSS', 'Unit Testing', 'Python']
## 316 ['Data Mining', 'Machine Learning', 'Hadoop', 'R', 'Java', 'Big Data', 'Spark', 'SPSS', 'Unit Testing', 'Python']
## 317 ['Machine Learning', 'R', 'Azure', 'Google Cloud Platform', 'Python', 'AWS']
## 318 ['Statistical Software', 'Quantitative Analysis', 'Microsoft Powerpoint', 'Project Management', 'R', 'SQL', 'Microsoft Office', 'Analysis Skills', 'Data Analysis', 'Python', 'Google Suite']
## 319 ['Data Mining', 'Statisical Analysis']
## 320 ['Data Mining', 'Machine Learning']
## 321 ['Hive', 'Machine Learning', 'Hadoop', 'R', 'Lean', 'SQL', 'Java', 'Big Data', 'Spark', 'Python', 'Signal Processing']
## 322 ['AI', 'Machine Learning', 'Solr', 'Service-Oriented Architecture', 'SQL', 'Natural Language Processing', 'Spark', 'CI', 'Docker', 'Data Analysis', 'Leadership Experience', 'AWS']
## 323 ['TensorFlow', 'Natural Language Processing', 'Machine Learning']
## 324 ['Machine Learning', 'Azure', 'R', 'Scala', 'Java', 'Kubernetes', 'Docker', 'Data Science', 'Python', 'AWS']
## 325 ['Data Mining', 'Machine Learning', 'SAP', 'R', 'Azure', 'SQL', 'Tableau', 'Alteryx', 'Python', 'AWS']
## 326 ['Alteryx', 'Microsoft SQL Server', 'Data Mining', 'Data Warehouse', 'Statisical Analysis', 'Python']
## 327 ['Azure', 'R', 'Python', 'SQL']
## 328 ['MySQL', 'Hadoop', 'Weka', 'R', 'MATLAB', 'HBase']
## 329 ['Statistical Software', 'Machine Learning', 'R', 'Python']
## 330 ['Hive', 'Data Mining', 'Machine Learning', 'Hadoop', 'Scala', 'Statisical Analysis', 'Big Data', 'Spark', 'Python']
## 331
## 332 ['MySQL', 'MongoDB', 'Machine Learning', 'R', 'Python', 'SQL']
## 333 ['Hadoop', 'R', 'SAS', 'Oracle', 'SQL', 'SharePoint', 'Spark', 'MATLAB', 'Python']
## 334 ['Machine Learning', 'QlikView', 'R', 'SAS', 'Python']
## 335 ['Machine Learning', 'Project Management', 'Strategic Planning', 'Financial Modeling']
## 336 ['Natural Language Processing', 'Machine Learning', 'Data Science']
## 337 ['Hive', 'Data Mining', 'Hadoop', 'R', 'SAS', 'SQL', 'Microsoft Office', 'MATLAB', 'Data Science']
## 338 ['TensorFlow', 'AI', 'Machine Learning', 'R', 'Statisical Analysis', 'Clojure', 'Natural Language Processing', 'MATLAB', 'Python']
## 339 ['Machine Learning', 'Data Analysis', 'R', 'Python', 'SQL']
## 340 ['TensorFlow', 'Business Intelligence', 'Machine Learning', 'MATLAB', 'R', 'Image Processing', 'Signal Processing', 'Python']
## 341 ['Linux', 'Data Mining', 'Machine Learning', 'R', 'Git', 'Shell Scripting', 'Python', 'SVN']
## 342 ['Data Mining']
## 343
## 344 ['Statistical Software', 'Machine Learning', 'R', 'Python']
## 345 ['Machine Learning', 'R', 'SAS', 'C/C++', 'Minitab', 'Java', 'Data Analysis', 'MATLAB']
## 346 ['TensorFlow', 'Linux', 'Data Mining', 'Machine Learning', 'XML', 'Network', 'Perl', 'R', 'SQL', 'Java', 'Spark', 'Design Experience']
## 347 ['Natural Language Processing', 'AI', 'Machine Learning', 'R']
## 348 ['R', 'Excel', 'Tableau', 'Splunk', 'Docker', 'Data Analysis', 'Python']
## 349 ['Data Mining', 'Machine Learning']
## 350 ['Data Mining', 'Machine Learning', 'Hadoop', 'Azure', 'R', 'Scala', 'SAS', 'SQL', '.Net', 'Spark', 'C#', 'Data Analysis', 'MATLAB', 'Data Science', 'Python']
## 351 ['Pig', 'Hive', 'Machine Learning', 'R', 'SQL', 'Spark', 'Python']
## 352 ['Statistical Software', 'Machine Learning', 'R', 'SAS', 'Python']
## 353 ['Data Mining', 'Machine Learning', 'R', 'Scala', 'Image Processing', 'C/C++', 'Java', '.Net', 'Natural Language Processing', 'C#', 'Python', 'PHP']
## 354 ['AI', 'Data Mining', 'Machine Learning', 'Statisical Analysis', 'SAS', 'Data Warehouse', 'OOP', 'Python']
## 355 ['TensorFlow', 'Linux', 'Machine Learning', 'Image Processing', 'Data Science', 'Python']
## 356 ['AI', 'Machine Learning', 'R', 'Python', 'Quantitative Research']
## 357 ['Data Mining']
## 358 ['Hive', 'Data Mining', 'Machine Learning', 'Hadoop', 'Scala', 'R', 'SQL', 'Java', 'Natural Language Processing', 'Spark', 'Python', 'Data Science']
## 359 ['Natural Language Processing', 'Quantitative Analysis', 'Epic', 'Machine Learning']
## 360 ['R', 'SAS', 'SQL']
## 361 ['Technical Writing']
## 362 ['Machine Learning', 'R', 'Python']
## 363 ['Business Intelligence', 'Data Mining', 'Hadoop', 'R', 'Scala', 'C/C++', 'SQL', 'Tableau', 'Java', 'Data Analysis', 'Python']
## 364 ['Microsoft SQL Server', 'Go', 'Azure', 'DynamoDB', 'Node.js', 'Big Data', 'PostgreSQL', 'Hadoop', 'CI/CD', 'Oracle', 'Teradata', 'Java', 'Cassandra', 'MongoDB', 'Alteryx', 'Spark', 'NoSQL', 'Python']
## 365 ['Data Mining', 'Machine Learning', 'Hadoop', 'SAS', 'Statisical Analysis', 'HBase', 'Cassandra', 'Data Analysis']
## 366 ['Pig', 'SOAP', 'Scripting', 'R', 'Perl', 'JSON', 'SQL', 'Java', 'Spark', 'Git', 'REST', 'MATLAB', 'Python']
## 367 ['Machine Learning', 'R', 'C/C++', 'Tableau', 'Splunk', 'Java', 'Docker', 'MATLAB', 'Python']
## 368 ['Hive', 'Microsoft SQL Server', 'Machine Learning', 'Data Analysis', 'R', 'Python', 'SQL', 'Tableau', 'Financial Modeling']
## 369 ['T-SQL', 'Machine Learning', 'Data Warehouse', 'Git', 'R', 'MATLAB', 'Azure', 'Python', 'Data Science', 'AWS']
## 370 ['Big Data', 'Spark', 'Hadoop']
## 371 ['Perl', 'R', 'Oracle', 'Java', 'MySQL', 'PostgreSQL', 'Python']
## 372 ['Microsoft SQL Server', 'Data Mining', 'R', 'Oracle', 'SAS', 'SQL', 'DB2']
## 373 ['TensorFlow', 'Hive', 'Spark', 'Machine Learning', 'Software Development']
## 374 ['Data Mining', 'Machine Learning', 'Project Management', 'R', 'SAS', 'Python']
## 375 ['Machine Learning']
## 376 ['Machine Learning', 'Hadoop']
## 377 ['R', 'Windows', 'MATLAB', 'Python']
## 378 ['Machine Learning', 'R', 'SAS', 'SQL', 'Tableau', 'SPSS', 'Python']
## 379 ['Data Mining', 'Machine Learning', 'Python', 'SQL']
## 380 ['Machine Learning', 'Tableau', 'Splunk', 'Docker']
## 381 ['Machine Learning', 'Tableau', 'Splunk', 'Docker']
## 382 ['Microsoft SQL Server', 'Project Management', 'R', 'Azure', 'Perl', 'C/C++', 'SQL', 'HTML5', 'STATA', 'PHP', 'JavaScript', 'Hadoop', 'Visual Basic', 'SAS', 'Tableau', 'Python', 'AWS']
## 383 ['TensorFlow', 'Intelligence Experience', 'Spark', 'Machine Learning', 'Python', 'AWS', 'Intelligence Community Experience']
## 384 ['Microsoft SQL Server', 'Data Mining', 'R', 'Oracle', 'SAS', 'SQL', 'DB2']
## 385 ['TensorFlow', 'Natural Language Processing', 'Machine Learning', 'Image Processing', 'Python', 'C/C++']
## 386 ['Data Mining', 'Machine Learning', 'R', 'SAS', 'SPSS', 'Python']
## 387 ['TensorFlow', 'R', 'SQL', 'Spark', 'Python', 'AWS']
## 388 ['Java', 'Natural Language Processing', 'Data Mining', 'Spark', 'Hadoop', 'Scala', 'Python', 'AWS']
## 389 ['Machine Learning', 'Hadoop', 'R', 'Spark', 'Git', 'Software Development', 'Python']
## 390 ['TensorFlow', 'JavaScript', 'Hive', 'Machine Learning', 'Hadoop', 'R', 'Solr', 'SQL', 'Node.js', 'Git', 'Shell Scripting', 'Python']
## 391 ['Data Mining', 'Machine Learning', 'R', 'Scala', 'Kafka', 'SQL', 'Big Data', 'Spark', 'Docker', 'Python', 'AWS']
## 392 ['TensorFlow', 'Java', 'AI', 'Machine Learning', 'Google Cloud Platform', 'R', 'Python', 'Cloud Computing']
## 393 ['Machine Learning', 'Git', 'R', 'Python', 'SQL']
## 394 ['Machine Learning', 'R', 'Python']
## 395 ['TensorFlow', 'Machine Learning', 'Software Development', 'R', 'Python']
## 396 ['Data Mining', 'Project Management']
## 397 ['.Net', 'Natural Language Processing', 'C#', 'Hadoop', 'Data Analysis', 'R', 'Python']
## 398 ['Hive', 'Machine Learning', 'Hadoop', 'R', 'Lean', 'SQL', 'Java', 'Big Data', 'Spark', 'Python', 'Signal Processing']
## 399 ['JavaScript', 'Linux', 'Tomcat', 'JBoss', 'CI/CD', 'C/C++', 'SQL', 'Apache', 'Java', 'MySQL', 'Kanban', 'Git', 'Unit Testing', 'Mac OS', 'PostgreSQL', 'NoSQL', 'Web Development', 'Jira', 'Jenkins', 'Elasticsearch']
## 400 ['Natural Language Processing', 'Data Mining', 'Analysis Skills', 'Machine Learning', 'Design Experience']
## 401 ['Hive', 'Hadoop', 'R', 'Statisical Analysis', 'SQL', 'Java', 'Spark', 'C#', 'Data Science', 'Python']
## 402 ['Data Mining', 'Machine Learning', 'Scripting', 'R', 'SAS', 'C/C++', 'SQL', 'Java', 'NoSQL', 'Python', 'OOP']
## 403
## 404 ['TensorFlow', 'Java', 'S3', 'Docker', 'R', 'Python', 'AWS']
## 405 ['SPSS', 'R', 'SAS', 'Data Science', 'Python', 'SQL']
## 406 ['AI', 'Microsoft SQL Server', 'R', 'Statisical Analysis', 'MySQL', 'PostgreSQL', 'OOP', 'Python', 'PHP']
## 407 ['Microsoft Word', 'Project Management', 'Excel']
## 408 ['Hive', 'Machine Learning', 'Hadoop', 'R', 'Lean', 'SQL', 'Java', 'Big Data', 'Spark', 'Python', 'Signal Processing']
## 409 ['AI', 'Ruby', 'Scripting', 'Python', 'SQL']
## 410 ['Business Intelligence', 'Microsoft SQL Server', 'Machine Learning', 'Power BI', 'R', 'Statisical Analysis', 'SQL', 'Tableau', '.Net', 'C#', 'Python', 'Data Science']
## 411 ['Data Mining', 'Machine Learning', 'SAS', 'Oracle', 'SQL', 'Teradata', 'Control-M', 'Python']
## 412 ['Data Mining', 'Machine Learning', 'Marketing Automation', 'Data Science']
## 413 ['Data Mining', 'Microsoft SQL Server', 'SPSS', 'Data Analysis', 'SAS', 'Oracle', 'SQL', 'Minitab']
## 414 ['Hive', 'Microsoft SQL Server', 'Data Analysis', 'R', 'Python', 'SQL', 'Tableau']
## 415 ['TensorFlow', 'R', 'SQL', 'Spark', 'Python', 'AWS']
## 416 ['Git', 'Docker', 'R', 'Python']
## 417 ['R', 'MATLAB', 'SAS', 'Python', 'SQL']
## 418 ['Data Analysis', 'R', 'SQL', 'Clinical Trials']
## 419 ['STATA', 'Machine Learning', 'R', 'MATLAB', 'SQL']
## 420 ['STATA', 'Machine Learning', 'R', 'MATLAB', 'SQL']
## 421 ['Data Mining', 'Machine Learning', 'R', 'Scala', 'Perl', 'CI/CD', 'Clojure', 'C/C++', 'Java', 'T-SQL', 'Git', 'Python', 'Jira']
## 422 ['AI', 'Machine Learning', 'Hadoop', 'Weka', 'R', 'C/C++', 'HBase', 'Java', 'Natural Language Processing', 'MySQL', 'MATLAB', 'Python']
## 423 ['Ruby', 'Machine Learning', 'R', 'Kafka', 'Python', 'Tableau']
## 424 ['Hive', 'Ruby', 'Machine Learning', 'Hadoop', 'R', 'Azure', 'SQL', 'Cloud Computing', 'Big Data', 'Java', 'Natural Language Processing', 'Spark', 'NoSQL', 'MATLAB', 'Python', 'Data Science', 'PHP', 'AWS']
## 425 ['Big Data', 'Machine Learning', 'AWS']
## 426 ['TS/SCI Clearance', 'Machine Learning', 'R', 'SQL', 'Java', 'Python', 'Military Experience', 'Intelligence Community Experience']
## 427 ['Data Science', 'Microsoft Office']
## 428 ['Business Intelligence', 'Machine Learning', 'Microsoft Powerpoint', 'R', 'SAP', 'SAS', 'Tableau', 'Microsoft Access', 'Splunk', 'Docker', 'Python']
## 429 ['AI', 'Machine Learning', 'R', 'SAS', 'Statisical Analysis', 'Oracle', 'SQL', 'Python']
## 430 ['TensorFlow', 'AI', 'Machine Learning', 'R', 'Apache', 'Java', 'Natural Language Processing', 'Spark', 'Python']
## 431 ['Machine Learning', 'Technical Writing', 'Scripting']
## 432 ['Pig', 'Hive', 'Data Mining', 'Machine Learning', 'Scripting', 'Android', 'R', 'Weka', 'C/C++', 'SQL', 'HBase', '.Net', 'Java', 'Cassandra', 'MongoDB', 'C#', 'NoSQL', 'MATLAB', 'Python']
## 433 ['Business Intelligence', 'Data Mining', 'Machine Learning', 'Project Management', 'Marketing']
## 434 ['Quantitative Analysis', 'Experimental Design', 'R', 'Python', 'SQL']
## 435 ['Machine Learning']
## 436 ['Data Mining', 'Machine Learning', 'XML', 'Scripting', 'R', 'Software Testing', 'SDLC', 'SQL', 'MongoDB', 'NoSQL', 'MATLAB', 'Python']
## 437 ['Microsoft SQL Server', 'Data Mining', 'R', 'Oracle', 'SAS', 'SQL', 'DB2']
## 438 ['TensorFlow', 'Intelligence Experience', 'Spark', 'Machine Learning', 'Python', 'AWS', 'Intelligence Community Experience']
## 439 ['Microsoft Project', 'Machine Learning', 'R', 'SQL', 'Splunk', 'C#', 'OOP', 'Military Experience', 'JavaScript', 'Microsoft Powerpoint', 'Visual Basic', 'Microsoft Office', 'Tableau', 'Java', '.Net', 'SharePoint', 'Docker', 'Python']
## 440 ['Business Intelligence', 'Data Mining', 'QlikView', 'Power BI', 'R', 'Python', 'Tableau']
## 441 ['Microsoft SQL Server', 'Data Mining', 'R', 'Oracle', 'SAS', 'SQL', 'DB2']
## 442 ['Data Mining', 'Statisical Analysis', 'Leadership Experience']
## 443 ['Natural Language Processing', 'AI', 'Machine Learning', 'Unit Testing', 'Python']
## 444 ['Linux', 'Data Mining', 'Machine Learning', 'R', 'CSS', 'Data Science', 'SQL', 'HTML5']
## 445 ['ArcGIS', 'Adobe Photoshop', 'SPSS', 'R', 'Python', 'Data Science', 'SQL']
## 446 ['Big Data', 'TensorFlow', 'Data Mining', 'Machine Learning', 'Hadoop', 'R', 'Python']
## 447 ['Data Mining', 'Machine Learning', 'SAP', 'Image Processing', 'C/C++', 'Java', 'Natural Language Processing', 'MATLAB', 'Python']
## 448 ['Machine Learning', 'R', 'SQL', 'Tableau', 'Splunk', 'Java', 'Docker', 'NoSQL', 'Python']
## 449 ['Machine Learning', 'Data Management', 'Scripting', 'R', 'Perl', 'Oracle', 'SAS', 'SQL', 'Tableau', '.Net', 'Java', 'Predictive Analytics', 'C#', 'SPSS', 'MATLAB', 'Python']
## 450 ['Hive', 'Data Mining', 'Microsoft SQL Server', 'Machine Learning', 'Hadoop', 'R', 'SQL', 'Teradata', 'Tableau', 'Big Data', 'Data Warehouse', 'Python', 'Audits']
## 451 ['Big Data', 'Hive', 'Spark', 'Machine Learning', 'PostgreSQL', 'R', 'Python']
## 452 ['Natural Language Processing', 'Machine Learning', 'Microsoft Powerpoint', 'Data Science']
## 453 ['TensorFlow', 'Natural Language Processing', 'Image Processing', 'Python']
## 454 ['Microsoft Project', 'Machine Learning', 'R', 'SQL', 'Splunk', 'C#', 'OOP', 'Military Experience', 'JavaScript', 'Microsoft Powerpoint', 'Visual Basic', 'Microsoft Office', 'Tableau', 'Java', '.Net', 'SharePoint', 'Docker', 'Python']
## 455 ['Data Mining', 'Machine Learning']
## 456 ['Machine Learning', 'Adobe Creative Suite', 'R', 'Adobe Marketing', 'SQL', 'Tableau']
## 457 ['Java', 'Alteryx', 'Data Mining', 'MATLAB', 'R', 'SAS', 'Python', 'SQL']
## 458 ['Java', 'Data Mining', 'Machine Learning', 'Data Warehouse', 'Statisical Analysis', 'Python', 'SQL']
## 459 ['Data Mining', 'Tableau', 'Splunk', 'Big Data', 'Spark', 'Docker', 'Data Analysis', 'Data Science']
## 460 ['Data Mining', 'Machine Learning', 'Microsoft Powerpoint', 'R', 'SAS', 'SQL']
## 461 ['Data Mining', 'Machine Learning', 'Microsoft Powerpoint', 'R', 'SAS', 'SQL']
## 462 ['TensorFlow', 'Linux', 'Hive', 'Machine Learning', 'R', 'C/C++', 'Software Development', 'AI', 'Scripting', 'Scala', 'Tableau', 'Java', 'Spark', '4G/LTE', 'Git', 'Mac OS', 'Python']
## 463 ['Machine Learning', 'Hadoop', 'PostgreSQL', 'Python']
## 464 ['JavaScript', 'Hive', 'Machine Learning', 'Hadoop', 'R', 'HTML5', 'SQL', 'HBase', 'Java', 'Angular', 'Spark', 'Design Experience', 'CSS', 'Python']
## 465 ['Machine Learning', 'R', 'Python']
## 466 ['Linux', 'Hive', 'Machine Learning', 'XML', 'R', 'JSON', 'SQL', 'HTML5', 'Big Data', 'Kubernetes', 'JavaScript', 'Hadoop', 'Image Processing', 'MongoDB', 'Git', 'Docker', 'NoSQL', 'Python']
## 467 ['JavaScript', 'Machine Learning', 'Perl', 'R', 'SQL', 'Java', 'NoSQL', 'Python', 'PHP']
## 468 ['Machine Learning', 'R', 'SAS', 'SQL', 'Python']
## 469 ['Natural Language Processing', 'Machine Learning', 'Microsoft Powerpoint', 'R', 'Python']
## 470 ['Machine Learning', 'Experimental Design', 'R', 'Statisical Analysis', 'SQL', 'Big Data', 'Predictive Analytics', 'Spark', 'Python']
## 471 ['Statistical Software', 'Data Analysis', 'Scripting', 'R', 'SAS', 'Leadership Experience', 'Python']
## 472 ['R', 'Scala', 'Natural Language Processing', 'Confluence', 'Spark', 'Docker', 'Python', 'Jenkins', 'Jira', 'AWS']
## 473 ['Data Mining', 'Machine Learning', 'SAP']
## 474 ['JavaScript', 'Hive', 'Machine Learning', 'Hadoop', 'R', 'HTML5', 'SQL', 'HBase', 'Java', 'Angular', 'Spark', 'Design Experience', 'CSS', 'Python']
## 475 ['Java', 'Natural Language Processing', 'AI', 'Machine Learning', 'Software Development', 'Scala', 'Data Science', 'Python']
## 476 ['Machine Learning', 'R', 'SAS', 'SQL', 'Tableau', 'Splunk', 'Docker', 'NoSQL', 'Python']
## 477 ['Machine Learning', 'CI/CD', 'SQL', 'Apache', 'S3', 'PostgreSQL', 'REST', 'Python', 'GIS', 'AWS']
## 478 ['Data Analysis', 'SAS', 'SQL']
## 479 ['Java', 'ArcGIS', 'Quality Control', 'Python', 'GIS', 'SQL', 'Microsoft Access']
## 480 ['Data Mining', 'Machine Learning', 'R', 'Python', 'SQL']
## 481 ['Data Mining', 'R', 'SAS']
## 482 ['Hive', 'Microsoft SQL Server', 'Machine Learning', 'R', 'SQL', 'Software Development', 'Hadoop', 'Scala', 'Oracle', 'HBase', 'Teradata', 'Spark', 'Python']
## 483 ['Big Data', 'Hive', 'Data Mining', 'Spark', 'Machine Learning', 'R', 'Python', 'SQL']
## 484 ['Big Data', 'Natural Language Processing', 'Spark', 'Machine Learning', 'R', 'Python']
## 485 ['Data Mining', 'Machine Learning', 'Scripting', 'R', 'SAS', 'C/C++', 'SQL', 'Java', 'NoSQL', 'Python', 'OOP']
## 486 ['Data Mining', 'Machine Learning', 'R', 'Scala', 'Statisical Analysis', 'C/C++', 'SQL', 'Natural Language Processing', 'Design Experience', 'Python']
## 487 ['Machine Learning', 'SPSS', 'R', 'SAS', 'Python']
## 488 ['Pig', 'Hive', 'Machine Learning', 'Hadoop', 'R', 'SAS', 'SQL', 'MongoDB', 'Git', 'MATLAB', 'Python']
## 489 ['TensorFlow', 'Machine Learning', 'Hadoop', 'R', 'Tableau', 'Splunk', 'Natural Language Processing', 'MongoDB', 'Docker', 'Python', 'Elasticsearch']
## 490 ['Data Mining', 'Machine Learning', 'Hadoop', 'R', 'HBase', 'Java', 'Predictive Analytics', 'Spark', 'Unit Testing', 'Python']
## 491 ['Data Mining', 'Machine Learning', 'Hadoop', 'R', 'HBase', 'Java', 'Predictive Analytics', 'Spark', 'Unit Testing', 'Python']
## 492 ['Hive', 'Microsoft SQL Server', 'Machine Learning', 'R', 'C/C++', 'MySQL', 'Data Mining', 'Hadoop', 'Scala', 'Java', 'MongoDB', 'Spark', 'Docker', 'Redis', 'Python']
## 493 ['JavaScript', 'Machine Learning', 'R', 'C/C++', 'SQL', 'HTML5', 'Java', 'Natural Language Processing', 'Data Analysis', 'Python']
## 494 ['AI', 'Data Mining', 'Machine Learning', 'Scripting', 'R', 'Python']
## 495 ['Big Data', 'Hive', 'Hadoop', 'R', 'Python']
## 496 ['Social Media Management', 'R', 'SAS', 'Sentiment Analytics', 'SQL', 'Tableau', 'SPSS', 'Python']
## 497 ['Hive', 'Microsoft SQL Server', 'R', 'Perl', 'SQL', 'Big Data', 'PHP', 'AI', 'Quantitative Analysis', 'Data Mining', 'Scripting', 'Hadoop', 'SAS', 'Oracle', 'Cassandra', 'Spark', 'Python', 'DB2']
## 498 ['Hive', 'Microsoft SQL Server', 'R', 'Perl', 'SQL', 'Big Data', 'PHP', 'AI', 'Quantitative Analysis', 'Data Mining', 'Scripting', 'Hadoop', 'SAS', 'Oracle', 'Cassandra', 'Spark', 'Python', 'DB2']
## 499 ['Data Mining', 'Power BI', 'R', 'Marketing', 'Tableau']
## 500 ['Linux', 'AI', 'Data Mining', 'Machine Learning', 'Scripting', 'Hadoop', 'R', 'Big Data', 'Shell Scripting', 'Python']
## No_of_Skills Company
## 1 5 Money Mart Financial Services
## 2 9 comScore
## 3 1 Central Intelligence Agency
## 4 7 Federal Reserve Bank of Dallas
## 5 6 National Security Agency
## 6 10 NYC Careers
## 7 3 OM Partners
## 8 4 University of Idaho
## 9 8 The University of Pittsburgh
## 10 8 The University of Pittsburgh
## 11 3 Rice University
## 12 2 Elev8 Hire Solutions
## 13 7 Catalina Marketing
## 14 6 Achievement Network (ANet)
## 15 12 Deloitte
## 16 1 ExxonMobil
## 17 2 MIT
## 18 7 Ochsner Health System
## 19 2 Raytheon
## 20 2 Raytheon
## 21 4 NYC Careers
## 22 8 ERM Group
## 23 3 Deloitte
## 24 7 Ochsner Health System
## 25 0 Google
## 26 0 Google
## 27 5 Lawrence Livermore National Laboratory
## 28 8 Adobe
## 29 6 Intuitive Surgical
## 30 0 Google
## 31 7 University of Minnesota
## 32 0 Google
## 33 4 Splunk
## 34 1 Southern Methodist University
## 35 8 Microsoft
## 36 3 Duke University and Duke University Health System
## 37 6 Duke University and Duke University Health System
## 38 10 Coyote Logistics
## 39 5 Twitter
## 40 5 Twitter
## 41 4 Canvas Technology
## 42 3 The Church of Jesus Christ of Latter-day Saints
## 43 9 Riverside Research
## 44 2 OpenAI
## 45 8 IBM
## 46 2 Asendia Management SAS
## 47 1 T-Mobile
## 48 7 Walmart
## 49 0 UES
## 50 2 NextEra Energy, Inc.
## 51 4 Argonne National Laboratory
## 52 7 Walmart
## 53 0 Elder Research Inc
## 54 8 Microsoft
## 55 7 Dell
## 56 0 Elder Research Inc
## 57 7 Dick's Sporting Goods
## 58 18 Hallmark
## 59 5 L. L. Bean
## 60 0 University of California San Francisco
## 61 5 Wunderman
## 62 3 MGM Resorts International
## 63 3 Interactive Brokers
## 64 7 Grubhub
## 65 10 Amica Insurance Company
## 66 5 UPMC
## 67 11 Hearts and Science
## 68 11 Hearts and Science
## 69 9 Deloitte
## 70 5 Sedgwick Claims Management Services
## 71 3 MetLife
## 72 11 BJ's Wholesale Club, Inc.
## 73 5 Code Pilot
## 74 6 Talking Rain Beverage Company
## 75 4 Bright Cellars
## 76 2 MetroStar Systems
## 77 4 Omatic Software
## 78 2 Central Intelligence Agency
## 79 14 Schnucks
## 80 6 Abbott Laboratories
## 81 6 Lawrence Berkeley National Laboratory
## 82 3 Shift Technology
## 83 7 Consumers Energy
## 84 2 Penn State University
## 85 4 VillageCare
## 86 8 Intercontinental Exchange
## 87 5 Palo Alto Networks
## 88 5 The Rawlings Group
## 89 4 Devoted Health
## 90 5 Caris Life Sciences
## 91 6 MGM Resorts International
## 92 7 ADT Corporation
## 93 15 T-Mobile
## 94 3 OM Partners
## 95 8 Thomas Jefferson University and Hospitals
## 96 4 MassMutual Financial Group
## 97 6 FourthWall Media
## 98 7 Catalina Marketing
## 99 5 Adobe
## 100 12 BB&T
## 101 11 Hearts and Science
## 102 6 AbbVie
## 103 4 National Renewable Energy Laboratory
## 104 7 Southern Methodist University
## 105 8 Energy Sense Finance
## 106 6 New York Media LLC
## 107 12 ESAC Inc
## 108 7 Aunalytics
## 109 10 IBM
## 110 5 U.S. Bank
## 111 3 Vistra Energy
## 112 5 Precision for Medicine
## 113 2 Teradata
## 114 4 Greene, Tweed & Co.
## 115 4 Greene, Tweed & Co.
## 116 4 PNC
## 117 8 Walmart
## 118 6 Achievement Network (ANet)
## 119 3 TXU Energy
## 120 12 Stryker
## 121 6 Nippon Dynawave Packaging
## 122 3 Smith Hanley Associates
## 123 4 BASF
## 124 5 UPMC
## 125 7 ADT Security Services
## 126 10 Logistics Management Institute
## 127 6 Johns Hopkins
## 128 5 Shippensburg University
## 129 7 CareSource
## 130 1 Universal Consulting Services
## 131 7 DISH
## 132 8 Commerce Bank
## 133 4 Beyond Limits
## 134 6 Prime Therapeutics
## 135 1 NextEra Energy, Inc.
## 136 1 UCS Consulting
## 137 6 Ball Corporation
## 138 3 Anthem, Inc.
## 139 10 NextEra Energy, Inc.
## 140 1 AT&T
## 141 19 West Corporation
## 142 7 Parkland Health & Hospital System
## 143 1 Mayo Clinic
## 144 4 SunTrust
## 145 13 Deloitte
## 146 6 Amgen
## 147 13 K12
## 148 7 Intel
## 149 11 BB&T
## 150 19 UCHealth
## 151 6 Foxconn
## 152 15 Octic Capital
## 153 8 Johns Hopkins
## 154 9 Department of Veterans Affairs
## 155 15 New Mexico State University
## 156 6 Catalina Marketing
## 157 5 SunTrust
## 158 3 USAA
## 159 2 Accenture
## 160 17 WellCare
## 161 8 Banner Health
## 162 8 American Axle & Manufacturing, Inc.
## 163 6 Cyient
## 164 9 Swagelok
## 165 0 Universal Consulting Services
## 166 16 MEI Technologies
## 167 16 MEI Technologies
## 168 7 XPO Logistics, Inc.
## 169 7 Citi
## 170 6 Catalina Marketing
## 171 2 Universities Space Research Association
## 172 4 Lubrizol
## 173 4 Lubrizol
## 174 13 eBay Inc.
## 175 0 UCS Consulting
## 176 15 KPMG LLP
## 177 12 AvalonBay Communities
## 178 5 Cummins Inc.
## 179 5 Cummins Inc.
## 180 5 Cummins Power Systems, LLC.
## 181 6 JB HUNT
## 182 14 Ford Motor Company
## 183 8 Anne Arundel Medical Center
## 184 3 Rice University
## 185 0 Comrise
## 186 15 KPMG LLP
## 187 6 National Renewable Energy Laboratory
## 188 15 KPMG LLP
## 189 15 KPMG LLP
## 190 16 MEI Technologies
## 191 16 MEI Technologies
## 192 10 Highmark Health
## 193 9 Central California Alliance for Health
## 194 15 Booz Allen Hamilton
## 195 17 Lockheed Martin Corporation
## 196 5 Cognizant
## 197 6 Jobspring Partners
## 198 4 VincentBenjamin
## 199 6 Deloitte
## 200 14 Travelers
## 201 16 HX5
## 202 7 TFS
## 203 4 CarMax
## 204 10 Bertelsmann
## 205 14 Deloitte
## 206 12 Forcepoint
## 207 4 Diverse Lynx
## 208 13 Deloitte
## 209 16 KPMG LLP
## 210 16 KPMG LLP
## 211 1 RubrYc Therapeutics
## 212 16 HX5
## 213 13 L3 Technologies
## 214 2 BASF
## 215 4 Methodist Le Bonheur Healthcare
## 216 16 KPMG LLP
## 217 16 KPMG LLP
## 218 16 KPMG LLP
## 219 8 Smiths Detection
## 220 3 Smith Hanley Associates
## 221 16 KPMG LLP
## 222 8 Smith Hanley Associates
## 223 2 Orbital Insight
## 224 16 KPMG LLP
## 225 16 KPMG LLP
## 226 16 KPMG LLP
## 227 16 HX5
## 228 8 GE Careers
## 229 9 The Aerospace Corporation
## 230 13 Odyssey Systems Consulting Group
## 231 16 KPMG LLP
## 232 16 KPMG LLP
## 233 15 KPMG LLP
## 234 10 Bertelsmann
## 235 16 KPMG LLP
## 236 16 KPMG LLP
## 237 7 Deloitte
## 238 9 The Aerospace Corporation
## 239 19 Deloitte
## 240 13 Deloitte
## 241 15 KPMG LLP
## 242 16 KPMG LLP
## 243 1 Simons Foundation
## 244 15 Harvard University
## 245 9 Adobe
## 246 4 First Horizon
## 247 19 Stratacache, A Family of Companies
## 248 15 KPMG LLP
## 249 15 KPMG LLP
## 250 0 Deloitte
## 251 15 KPMG LLP
## 252 15 KPMG LLP
## 253 8 Amgen
## 254 10 The Aerospace Corporation
## 255 7 Axius Technologies
## 256 1 SigOpt
## 257 19 Bertelsmann
## 258 5 Kaleido Biosciences
## 259 12 The Aerospace Corporation
## 260 11 Chenega Corporation
## 261 6 Foreground Security
## 262 15 KPMG LLP
## 263 6 Intel
## 264 15 KPMG LLP
## 265 6 Electronic Arts
## 266 7 Deloitte
## 267 16 KPMG LLP
## 268 9 Miami HEAT
## 269 3 Garmin
## 270 11 Cisco Systems
## 271 6 Day Zero Diagnostics
## 272 4 GM Financial
## 273 7 Nike
## 274 7 EagleView Technologies
## 275 1 University of Massachusetts Medical School
## 276 8 Standard Insurance Company
## 277 0 The Hanover Insurance Group
## 278 14 Hewlett Packard Enterprise
## 279 0 Prime Solutions Group (PSG)
## 280 17 Weatherford
## 281 14 Next Rev Technologies LLC
## 282 16 Triquetro
## 283 3 ClimaCell
## 284 3 Sprint
## 285 9 Synchronoss Technologies, Inc.
## 286 9 Synchronoss
## 287 1 TVG Network Betfair US
## 288 5 Northrop Grumman
## 289 9 Domino's
## 290 4 Cook Medical
## 291 3 CrossFit, Inc.
## 292 2 Comcast
## 293 11 Zurich North America
## 294 0 Gayathri's Sandbox
## 295 5 Pros.
## 296 9 Rifiniti
## 297 7 Microsoft
## 298 5 Arable Labs, Inc.
## 299 11 Zumper
## 300 0 ISE Data Systems
## 301 4 Grid Dynamics
## 302 12 Fred's
## 303 7 Zillow Group
## 304 14 Nordstrom
## 305 5 HNI Allsteel
## 306 12 Lexmark International, Inc.
## 307 15 Florida Blue
## 308 18 Walmart
## 309 14 Equifax
## 310 4 GM Financial
## 311 7 Walmart
## 312 6 Apeel Sciences
## 313 5 RELX Group
## 314 2 Andersen Corporation
## 315 10 WestRock
## 316 10 WestRock
## 317 6 ShipBob Inc
## 318 11 Nielsen
## 319 2 Andersen Corporation
## 320 2 Bosch Group
## 321 11 Xylem
## 322 12 Crossover
## 323 3 NT Concepts
## 324 10 Goodyear
## 325 10 Amgen
## 326 6 Lake Trust Credit Union
## 327 4 Ecolab
## 328 6 Walmart
## 329 4 Spreetail
## 330 9 TracFone Wireless
## 331 0 eQHealth Solutions
## 332 6 HOMER
## 333 9 Shell
## 334 5 Barri Financial Group
## 335 4 Hewlett Packard Enterprise
## 336 3 Plaid
## 337 9 Trinity Health
## 338 9 AnswerRocket
## 339 5 Northwell Health
## 340 8 Novartis
## 341 8 WeddingWire
## 342 1 SunTrust
## 343 0 US Pharmacopeia
## 344 4 Spreetail
## 345 8 Corning
## 346 12 CGG
## 347 4 Nexidia
## 348 7 Booz Allen Hamilton
## 349 2 AT&T
## 350 15 Microsoft
## 351 7 Netflix
## 352 5 HNI Corporation
## 353 12 Wayfair
## 354 8 PPL Corporation
## 355 6 Seagate Technology
## 356 5 Preferred Resources Inc.
## 357 1 TVG Network Betfair US
## 358 12 Tek Experts
## 359 4 TriHealth
## 360 3 Kaiser Permanente
## 361 1 eQHealth Solutions
## 362 3 P3 North America
## 363 11 Colgate-Palmolive
## 364 18 Staples
## 365 8 The Home Depot
## 366 13 GE Careers
## 367 9 Booz Allen Hamilton
## 368 9 Zillow Group
## 369 10 Kantar Careers
## 370 3 Microsoft
## 371 7 Genmab
## 372 7 Walmart eCommerce
## 373 5 Formation
## 374 6 Mayo Clinic
## 375 1 NextEra Energy, Inc.
## 376 2 Aetna
## 377 4 Aptiv
## 378 7 Schneider National
## 379 4 comScore
## 380 4 Booz Allen Hamilton
## 381 4 Booz Allen Hamilton
## 382 17 Press Ganey Associates, Inc.
## 383 7 Novetta
## 384 7 Walmart
## 385 6 Capgemini
## 386 6 Microsoft
## 387 6 HotelTonight
## 388 8 Next Rev Technologies LLC
## 389 7 Capax Global LLC
## 390 12 AmTrust Financial Services
## 391 11 LendingTree
## 392 8 Ulta Beauty
## 393 5 W.R. Berkley
## 394 3 FinLocker
## 395 5 Pearson
## 396 2 Interactive Brokers
## 397 7 Microsoft
## 398 11 Xylem
## 399 20 Leidos
## 400 5 Microsoft
## 401 10 PACCAR
## 402 11 SYSCO
## 403 0 McKinsey & Company
## 404 7 Novetta
## 405 6 Zachary Piper Solutions
## 406 9 Novelis
## 407 3 AbbVie
## 408 11 Xylem
## 409 5 devwrx
## 410 12 FleetPride
## 411 8 JPMorgan Chase
## 412 4 Klaviyo
## 413 8 Memorial Health System
## 414 7 Zillow Group
## 415 6 HotelTonight
## 416 4 Virginia Tech Applied Research Corporation
## 417 5 Cognizant
## 418 4 Matrix Medical Network
## 419 5 Niantic, Inc.
## 420 5 Niantic Labs
## 421 13 CenturyLink
## 422 12 Walmart
## 423 6 Optoro
## 424 18 Bold
## 425 3 Nike
## 426 8 Quadrint, Inc.
## 427 2 Alaka`ina Foundation Family of Companies
## 428 11 Booz Allen Hamilton
## 429 8 Yamaha
## 430 9 AbbVie
## 431 3 Modern Meadow
## 432 19 Qikspace
## 433 5 CACI
## 434 5 Snap Inc.
## 435 1 USAA
## 436 12 Knowledge Facilitation Group
## 437 7 Walmart eCommerce
## 438 7 Novetta
## 439 18 Booz Allen Hamilton
## 440 7 Toptal
## 441 7 Walmart
## 442 3 MGM Resorts International
## 443 5 Citi
## 444 8 Subaru of America
## 445 7 Wiley
## 446 7 DTCC
## 447 9 SAP
## 448 9 Booz Allen Hamilton
## 449 16 Northrop Grumman
## 450 13 Verizon
## 451 7 Pluralsight
## 452 4 HCSC
## 453 4 Pearson
## 454 18 Booz Allen Hamilton
## 455 2 Pacific Northwest National Laboratory
## 456 6 Adobe
## 457 8 Ford Motor Company
## 458 7 IEEE GlobalSpec
## 459 8 Booz Allen Hamilton
## 460 6 AF Group
## 461 6 Accident Fund Holdings, Inc.
## 462 17 Ericsson
## 463 4 Radiant Solutions
## 464 14 Micron
## 465 3 Viral Launch, Inc.
## 466 18 Fred Hutchinson Cancer Research Center
## 467 9 EMD
## 468 5 Money Mart Financial Services
## 469 5 HCSC
## 470 9 Carlisle & Company
## 471 7 Google
## 472 10 Electronic Arts
## 473 3 SAP
## 474 14 Micron
## 475 8 RELX Group
## 476 9 Booz Allen Hamilton
## 477 10 Amne
## 478 3 Colony Brands, Inc.
## 479 7 BAE Systems
## 480 5 Paypal
## 481 3 Carolinas HealthCare System
## 482 13 Micron
## 483 8 UPS
## 484 6 Ascena Retail Group, Inc.
## 485 11 SYSCO
## 486 10 Verra Mobility
## 487 5 GE Careers
## 488 11 Illumination Works
## 489 11 Booz Allen Hamilton
## 490 10 WestRock
## 491 10 WestRock
## 492 15 C.H. Robinson Worldwide, Inc.
## 493 10 MEDSTAR HEALTH RESEARCH INSTITUTE (MHRI)
## 494 6 Albemarle Corporation
## 495 5 U.S. Venture, Inc.
## 496 8 WWE
## 497 18 Walmart
## 498 18 Walmart
## 499 5 Brillio
## 500 10 Karsun Solutions, LLC
## No_of_Reviews No_of_Stars Date_Since_Posted
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## 6 30.0 3.7999999523162837 5
## 7 10
## 8 233.0 4.199999809265137 1
## 9 541.0 4.199999809265137 1
## 10 541.0 4.199999809265137 1
## 11 150.0 4.300000190734863 30
## 12 6
## 13 81.0 3.2000000476837163 30
## 14 30
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## 16 2234.0 4.0 11
## 17 278.0 4.199999809265137 5
## 18 1299.0 3.900000095367432 30
## 19 3166.0 4.0 30
## 20 3166.0 4.0 30
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## 40 63.0 3.900000095367432 30
## 41 30
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## 44 18
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## Description
## 1 [<p><b>What do we need?</b></p>, <ul><li>\r\r\nYou to have an amazing personality and communication style.</li><li>\r\r\nThat you are super-organized and are a problem solver.</li><li>\r\r\nThat you take pride in everything that you do, and it shows.</li><li>\r\r\nAnd most importantly that you have unquestionable integrity.</li></ul>, <p><br/>\r\r\n<b>\r\r\nWhy work for us?</b></p>, <ul><li>\r\r\nWe invest in our employees, and offer extensive training, and development programs to set you up for future success.</li></ul>, <p><br/>\r\r\nIf we sound like a fit, and you’re ready to start an exciting career with an organization that fosters employee growth, apply today!<br/>\r\r\n<br/>\r\r\n<b>Job Description</b><br/>\r\r\nThis position will be responsible for:</p>, <ul><li>\r\r\nDevelop marketing, credit risk models, segmentation, and risk analytics</li><li>\r\r\nPerform all required tests and measures of developed models</li><li>\r\r\nDeliver comprehensive model documentation (e.g., Model Development Document, Technical Specification Document) of modeling projects</li><li>\r\r\nUnderstand and follow modeling procedures, credit policies, and deliver technical/regulatory documentation for internal/external reviews</li><li>\r\r\nCommunicate technical information verbally and in writing to both technical and non-technical audiences</li></ul>, <p><b>Education</b></p>, <ul><li>\r\r\nAdvanced Degree (Masters or PhD preferred) in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, Quantitative Finance. MBAs should apply only if they are interested in career in specialized quantitative risk management discipline</li></ul>, <p><br/>\r\r\n<b>\r\r\nExperience\r\r\n</b></p>, <ul><li>Entry level position. Any experience in statistical modeling fields is preferred</li></ul>, <p><br/>\r\r\n<b>\r\r\nSkills</b></p>, <ul><li>\r\r\nVery strong knowledge of statistics methods and machine learning techniques</li><li>\r\r\nStrong numerical programming ability using a range of languages (SAS, R, Python); working experience with SQL</li><li>\r\r\nDetail-oriented with high degree of accuracy</li><li>\r\r\nStrong analytical, problem-solving and critical-thinking skills</li><li>\r\r\nExcellent verbal and written communication skills</li></ul>, <p><b>Benefits</b></p>, <ul><li>\r\r\nMedical / Dental/ Vision benefits available after 30 days of employment</li><li>\r\r\nCompany paid life insurance</li><li>\r\r\nPaid holidays</li><li>\r\r\nPTO/ 401K / Tuition Reimbursement</li></ul>, <p>\r\r\nAll your information will be kept confidential according to EEO guidelines.</p>]
## 2 [<ul><li>Validate, analyze, and conduct statistical analysis on data using analytical software (Excel, SQL, and SAS).</li><li>Analyze and define efficient, workable solutions that support client business processes and functional requirements for research projects.</li></ul>, <ul><li>Extract qualitative findings from large data sets.</li><li>Write reports that include effective graphs, tables, summaries, and narratives.</li><li>Develop and execute test cases to ensure data requirements have been met.</li><li>Research and resolve client-reported issues.</li><li>Interpret results, present findings, and recommend alternative solutions to research management and business decision makers.</li><li>Track daily industry news and disseminate relevant articles to management and team</li></ul>, <ul><li>Bachelor Degree in Statistics, Decision Sciences, Economics, Physics, Mathematics, or similar field required.</li></ul>, <ul><li>2 years of experience in the analytical field</li><li>Experience with SQL, Python or other programming language</li><li>Highly competent in data manipulation and critical thinking.</li><li>Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities. Knowledge of data mining and software applications.</li><li>Ability to distill large amounts of information into key findings.</li><li>Ability to clearly articulate research in written and verbal presentations with software developers, clients, management, and sales staff.</li><li>Data management experience with one or more data analysis packages (e.g. SPSS, SAS, STATA, R) required.</li><li>Experience with Excel, including pivot tables, formulae, VLOOKUPs, and graphing</li><li>Strong organizational skills including the ability to multi-task and prioritize efficiently to meet deadlines.</li><li>Strong attention to detail and problem-solving skills.</li><li>Self-motivated, takes initiative, loves to learn, and continuously seeks new knowledge.</li><li>Strong documentation skills from both a business and technology perspective.</li><li>Effective troubleshooting and investigation skills to identify root cause of problems.</li><li>Proven ability to manage and perform multiple tasks under conditions of fluctuating workloads, competing requirements, and changing deadlines while maintaining accuracy; working independently and completing assignments with minimal direction.</li><li>Self-starter who is self-motivated, efficient, responsible, and dependable.</li><li>Experience in the television/media research industry is a plus.</li></ul>, <ul><li>LI-JZ1</li></ul>, <ul><li>MSJA</li></ul>]
## 3 [<p>Full time</p>, <p>Washington, DC metro area</p>, <p>Starting salary: $56,698 - $76,377 ($27.17 - $36.60 per hour)\r\r\n</p>, <p>US citizenship required (dual national US citizens are eligible)</p>, <p>Description</p>, <p>Qualifications</p>, <p>How to Apply</p>, <p>As a Data Scientist Graduate Intern for the CIA, you will work side-by-side with other Data Scientists to organize and interpret data to inform US decision makers, drive successful operations, and shape technology and resource investments. Through CIA's global mission, the Agency has access to unique and highly specialized data. You will work with advanced hardware, software, and techniques to develop computational algorithms and statistical methods to identify patterns and relationships in large volumes of data. Data Scientists clearly communicate their conclusions to a diverse audience and develop technical expertise via hands-on experience and continuous learning, including Agency-sponsored training, academic conferences, and other professional development activities.</p>, <p>\r\r\nThe Graduate Studies Program allows you and the Agency to assess opportunities for permanent employment following your completion of Graduate school.</p>, <p>The Directorate of Digital Innovation (DDI) is at the forefront of defining the future of digital expertise within the CIA. DDI focuses on developing the workforce with cutting-edge skills, investing in IT infrastructure, and modernizing the way the Agency does business. DDI officers help accelerate the integration of innovative methods and tools to enhance the CIA's cyber and digital capabilities on a global scale and ultimately help safeguard our nation. Learn more about the Directorate of Digital Innovation.</p>, <p>Click to watch the video on a separate page.</p>, <p>In addition to a comprehensive benefits package, the CIA offers exciting career opportunities and a dynamic environment. We're on the forefront of world-altering events – as they happen. So working here isn't just a job, it's a mindset and a lifestyle.</p>]
## 4 [<ul><li>Assist in consultations with business partners and internal/external HR functional experts to develop and maintain HR dashboards, models and metrics.</li><li>Research national best practices for HR data analytics to make recommendations for our district.</li><li>Develop queries, validate and export data in various formats for HR dashboards/metrics, automating the delivery where possible.</li><li>Perform quantitative and qualitative data analysis to produce reports, assessments and proposals that will help organizational leaders make informed and data driven business decisions.</li><li>Maintain an up to date perspective of tools, practices, industry standards, national trends and System standards.</li></ul>, <ul><li><b><i>Customer Focus -</i></b> Building strong customer relationships and delivering customer-centric solutions</li><li><b><i>Collaborates -</i></b> Building partnerships and working collaboratively with others to meet shared objectives</li><li><b><i>Tech Savvy -</i></b> Utilizes market pricing and analytical tools available while continually seeking out emerging technologies</li><li><b><i>Persuades -</i></b> Uses compelling arguments to gain the support and commitment of others</li><li><b><i>Communicates Effectively -</i></b> Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li><b><i>Action Oriented -</i></b> Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li><b><i>Resourcefulness -</i></b> Secures and deploys resources effectively and efficiently</li></ul>, <ul><li>Bachelor’s degree in business, economics, mathematics, statistics or other related field of study</li><li>Experience using statistical software and data visualization tools</li><li>Microsoft Office suite, specifically MS Excel, experience required</li><li>Skilled using technology tools and digital platforms including R, Tableau and Human Capital Management (HCM) platforms</li><li>Excellent time management skills including multi-tasking, managing deadlines and providing project oversight</li><li>Excellent written, verbal and listening skills to effectively communicate with staff at all organizational levels</li><li>Strong problem solving and critical thinking skills</li><li>Ability to maintain trust and integrity when working with confidential situations and information</li><li>Ability to maintain composure under pressure</li><li>Ability to work collaboratively across a variety of business units within the organization.</li><li>Equivalent education and/or experience may be substituted for any of the above requirements</li></ul>]
## 5 [<ul><li>Collecting and combining data from multiple sources</li><li>Uncovering and exploring anomalous data (including metadata)</li><li>Applying the scientific process to data evaluation, performing statistical inference, and data mining</li><li>Developing analytic plans, engineer supporting algorithms, and design and implement solutions which execute analytic plans.</li><li>Designing and developing tools and techniques for analysis</li><li>Analyzing data using mathematical/statistical methods</li><li>Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership</li><li>Creating interpretable visualizations\r\r\n</li></ul>, <ul><li>Completed a degree program in the fields of mathematics, statistics, computer science, computational sciences, or a passion for rigorous analysis of data</li><li>Tenacity, integrity, persistence, and willingness to learn</li><li>Ability to solve complex problems</li><li>Use critical thinking and reasoning to make analytic determinations</li><li>Works effectively in a collaborative environment</li><li>Strong communications skills to both technical and non-technical audiences</li><li>The desire to serve over 300 million fellow Americans and make a difference in world events\r\r\n</li></ul>, <ul><li>The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.</li></ul>, <ul><li>The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.</li></ul>, <ul><li>The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.</li></ul>, <ul><li>The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.</li></ul>]
## 6
## 7 [<p>With demand sensing, OM Partners is breaking through some boundaries of classical demand forecasting. The use of state of the art techniques like machine learning and neural networks allow for a step change in forecast accuracy, driving immediate value creation for our customers. By using these innovative functionalities, they are able to adjust their supply plans faster and more accurate.\r\r\n</p>, <p>Are you ready to join the demand driven revolution in supply chain? Are you passionate about finding patterns and correlations? Then apply for the position of Data Scientist and join our product development team.</p>, <p>As a Data Scientist, you have only one aim: to <b>provide innovative solutions </b>for the customers’ challenging analytics and forecasting needs.</p>, <ul><li>You analyze their needs, design a prototype, develop the model and optimize your solution.</li>\r\r\n<li>You support the customer throughout the entire implementation schedule.</li>\r\r\n<li>You work in close collaboration with the customer’s project team and you consultant colleagues working on the same project.\r\r\n</li></ul>, <p>Next to the project work you will be responsible for the <b>design of solutions and the development of the products</b>. You ensure that high-quality, well-tested and documented solutions are delivered.\r\r\n</p>, <p>Your challenge is to collect and formulate the business requirements and translate them into functional requirements that can easily be fed into a technical design. Therefore, you work in close collaboration with the product manager and software engineers.\r\r\n</p>, <p>You continuously improve the solutions and develop new functionalities.\r\r\n</p>, <ul><li>You validate these solutions and functionalities with the different stakeholders.</li>\r\r\n<li>You implement and test the developments.\r\r\n</li></ul>, <p>Finally, you document the tools, and train and support your colleagues in the usage of the Solution. You participate in pre-sales to demonstrate functionality that meets the prospects goals and objectives.\r\r\n</p>, <p>Strong analytical skills and problem solving abilities, complemented with a university degree, are indispensable in this job.\r\r\n</p>, <p>You have an entrepreneurial mindset in looking for innovative solutions for our customers’ analytics and forecasting problems.\r\r\n</p>, <ul><li>You are passionate about finding patterns and looking for correlations in big datasets.\r\r\n</li><li>You take incomplete data as a challenge and use qualitative techniques to bridge the gap.\r\r\n</li></ul>, <p>A <b>solid background (at least 5 year) in applied statistics </b>(distributions, statistical testing, confidence intervals, machine learning, time series, …) is required.\r\r\n</p>, <ul><li>You have practical experience with time series analysis and forecasting (exponential smoothing, multivariate regression, ARIMA, …) to solve real-life business problems.\r\r\n</li><li>You benefit from having experience in analyzing and implementing forecasting processes, as well as having working experience as an analyst or consultant for large multinational organizations.\r\r\n</li></ul>, <p>You are familiar with a statistical scripting language, preferably R. Basic knowledge of relational databases and SQL are a plus.\r\r\n</p>, <p>You can present findings clearly to a non-technical audience, using different visualization techniques.</p>, <p>You have an excellent command of at least two languages (Dutch, French, English or German).\r\r\n</p>, <p>You are able to work autonomous and project based.\r\r\n</p>, <p>You can connect with the different stakeholders. You are fun to work with and a great team player!\r\r\n</p>, <p><i>The forecasting team is located in our head office in Wommelgem. Depending on your experience - hence level of autonomy - it will be required to work from the head office</i>.</p>, <p>OM Partners is a <b>software </b>and <b>consulting </b>company focused on <b>Supply Chain Planning</b>. As a company we have but one mission: to optimize our customer’s supply chain. We pride ourselves on developing innovative Advanced Planning Systems (APS) that meet and exceed expectations. Our customer base includes leading companies in different industries, such as ArcelorMittal, BASF, Dow, Johnson & Johnson, Michelin, Shaw, Procter & Gamble and Smurfit Kappa.</p>, <p>Are you the right person for the challenge?</p>]
## 8 [<ul><li>Masters degree in Bioinformatics or three years’ experience and advanced degree in Computer Science, Statistics, Biology, or related discipline.</li><li>Experience with computer languages commonly used in scientific programming (ex. C/C++, python, R, or similar languages).</li><li>Experience working in a UNIX/LINUX, command line environment specifically for bioinformatics data analyst</li><li>Demonstrated ability in analyzing high throughput sequencing data.</li><li>Must have a flexible and professional attitude towards working hours especially with regards to deadlines.</li></ul>, <ul><li>Ph.D. in computational biology, bioinformatics, systems biology, biostatistics or related discipline.</li><li>Three or more years of hands-on research experience with the analysis of high-throughput biological data analysis.</li><li>Possesses a sound knowledge of statistics and quantitative modeling, as well as solid computer programming skills.</li><li>Excellent ability to communicate verbally and in writing.</li><li>Ability to take direction and work efficiently and effectively within a team environment.</li><li>Ability to attend to detail and organize workload to complete complex tasks in a timely manner.</li><li>Working well with people from various organizational disciplines and with people who have varying degrees of technical experience.</li></ul>]
## 9 [<p>The Department of Epidemiology at the University of Pittsburgh’s Graduate School of Public Health is seeking a qualified Data Scientist.</p>, <p>\r\r\nThe Data Scientist will work to improve existing data management systems, provide reporting support, and conduct analyses. Duties of the incumbent include developing and implementing programs to process and manipulate large datasets, writing queries for extracting data, preparing reports with both tabular and graphical presentations, and developing statistical and mathematical models. The candidate will be responsible for analysis, design, testing, documentation, and evidence of efficacy. The candidate must have experience working within a team environment, yet independently be able to work on multiple projects simultaneously, and work well under pressure to meet deadlines. The incumbent must be proficient in report generation, query writing, databases, and data visualization. In addition, the candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., SAS, R, SPSS, Python) and techniques (e.g., regression modeling, survival analysis, machine learning, data mining, clustering).</p>, <p>Master’s degree in Biostatistics, Statistics, Data Science, Mathematics, Information Science, Data Sciences, or related field with at least 5 years of experience in data analysis, database management, or information technology; or a Doctoral degree in Biostatistics, Statistics, Epidemiology, Data Science, Mathematics, Information Science, Data Sciences, or related field; or some combination of related experience and graduate education required.</p>, <p>The following PA Act 153 clearances and background checks may be required prior to commencement of employment and as a condition of continued employment: PA State Police Criminal Record Check, FBI Criminal Record Check, PA Child Abuse History Clearance.</p>, <ul><li>Education benefits and a retirement plan with employer match</li></ul>, <ul><li>Group medical insurance, life insurance, and optional vision and dental insurance</li></ul>, <ul><li>Free transit service within Allegheny County for employees of the Oakland campus (Port Authority Transit)</li></ul>, <ul><li>Time off benefits including vacation, sick and personal time</li></ul>]
## 10 [<p>The Department of Epidemiology at the University of Pittsburgh’s Graduate School of Public Health is seeking a qualified Data Scientist.</p>, <p>\r\r\nThe Data Scientist will work to improve existing data management systems, provide reporting support, and conduct analyses. Duties of the incumbent include developing and implementing programs to process and manipulate large datasets, writing queries for extracting data, preparing reports with both tabular and graphical presentations, and developing statistical and mathematical models. The candidate will be responsible for analysis, design, testing, documentation, and evidence of efficacy. The candidate must have experience working within a team environment, yet independently be able to work on multiple projects simultaneously, and work well under pressure to meet deadlines. The incumbent must be proficient in report generation, query writing, databases, and data visualization. In addition, the candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., SAS, R, SPSS, Python) and techniques (e.g., regression modeling, survival analysis, machine learning, data mining, clustering).</p>, <p>Master’s degree in Biostatistics, Statistics, Data Science, Mathematics, Information Science, Data Sciences, or related field with at least 5 years of experience in data analysis, database management, or information technology; or a Doctoral degree in Biostatistics, Statistics, Epidemiology, Data Science, Mathematics, Information Science, Data Sciences, or related field; or some combination of related experience and graduate education required.</p>, <p>The following PA Act 153 clearances and background checks may be required prior to commencement of employment and as a condition of continued employment: PA State Police Criminal Record Check, FBI Criminal Record Check, PA Child Abuse History Clearance.</p>, <ul><li>Education benefits and a retirement plan with employer match</li></ul>, <ul><li>Group medical insurance, life insurance, and optional vision and dental insurance</li></ul>, <ul><li>Free transit service within Allegheny County for employees of the Oakland campus (Port Authority Transit)</li></ul>, <ul><li>Time off benefits including vacation, sick and personal time</li></ul>]
## 11 [<p>Salary Commensurate with Experience and Qualifications</p>, <p>Monday through Friday, 8 a.m. to 5 p.m.; some late evenings may be required including some weekends.</p>, <p>Texas Policy Lab (TPL) is seeking a data scientist. The successful candidate will work with other members of TPL and faculty at Rice University to contribute to analytical projects involving large administrative and survey-generated datasets. S/he will apply frontier data analytic techniques (predictive modeling, machine learning etc.) to address policymaker needs. S/he will import, manipulate, and merge large datasets. S/he will devise and implement strategies to automate the process of importing, exporting and linking datasets arriving from various government agencies.</p>, <p>\r\r\nTPL provides Texas state and local government agencies with science driven results to help inform how policy is developed and implemented in Texas. In close collaboration with those agencies, we produce scientific, independent, timely evaluations of current social and economic programs and new program initiatives. These long-term partnerships will improve Texas state and local government capacity to utilize data, scientific evidence and technology in policy-making and resource allocation. The Texas Policy Lab draws on the expertise of Rice University faculty and its own professional research staff.</p>, <p>In a relevant field (computer science, mathematics, statistics, economics, finance etc.).</p>, <p>Experience may not be substituted for the education requirement.</p>, <p>Master’s degree in a relevant field.</p>, <ul><li>Experience in application of predictive modeling or machine learning.</li><li>Experience in manipulating administrative data collected from multiple sources.</li><li>Demonstrable interest in public policy.</li><li>Ability to communicate complex techniques and methods with other researchers.</li><li>Interest in a substantive public policy area, such as criminal justice, child protective services, health, education or others.</li></ul>, <ul><li>Good listening, verbal and written communication, analytical, and research skills.</li><li>Excellent scientific and numerical skills with meticulous attention to details and accuracy.</li><li>Ability to work in a team environment, to participate actively, to collaborate and to motivate others in the lab.</li><li>Good critical thinking, technical, data collection and interviewing skills.</li><li>Good statistical and graphical analysis skills.</li><li>Ability to maintain quality, safety and / or infection control standards.</li><li>Ability to plan and schedule effectively.</li></ul>, <ul><li>Expertise, as demonstrated by advanced coursework or other relevant experience, in predictive modeling, machine learning and statistics.</li><li>Demonstrable expertise in determining the appropriate analytic approaches and computing techniques given the data availability and research question.</li><li>Strong programming skills in statistical and/or computational programs.\r\r\n</li><li>Knowledge of frontier data science techniques and experience in their applications.</li><li>Experience in importing, linking, reshaping and managing large administrative datasets.</li></ul>, <ul><li>Will work closely and report to the research scientist(s).</li><li>Frequent contact with the TPL research team and staff members.</li><li>Will have regular contact with various Rice University personnel and other stakeholders, including local and state entities from which TPL will acquire data.</li></ul>, <ul><li>Must be able to work at a computer terminal for extended periods of time.</li><li>Must be able to move about campus and go to various TPL sites.</li></ul>, <ul><li>Monday-Friday, standard 40 hour work week</li><li>Some late evenings and/or weekends required to meet TPL deadlines</li></ul>]
## 12 [<p>Mid Data Scientist</p>, <p>Our client in the Midtown area is looking for a Jr. Data Scientist with a passion for Machine Learning, knows the how's & why's of algorithms, and is excited about the fraud industry. You'll be a pivotal piece in the Atlanta/US team in development and application of adaptive real-time analytical modeling algorithms. So if that gets you excited, apply!</p>, <p>Role Expectations:</p>, <ul><li>End-to-end processing and modeling of large customer data sets.</li>\r\r\n<li>Working with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modeling.</li>\r\r\n<li>Develop statistical models and algorithms for integration with company’s product.</li>\r\r\n<li>Apply analytical theory to real-world problems on large and dynamic datasets.</li>\r\r\n<li>Produce materials to feedback analytic results to customers (reports, presentations, visualizations).</li>\r\r\n<li>Providing input into future data science strategy and product development.</li>\r\r\n<li>Working with development teams to support and enhance the analytical infrastructure.</li>\r\r\n<li>Work with the QA team to advise on effective analytical testing.</li>\r\r\n<li>Evaluate and improve the analytical results on live systems.</li>\r\r\n<li>Develop an understanding of the industry data structures and processes.</li>\r\r\n</ul>, <p>Team working with:</p>, <ul><li>Currently 6 other Data Scientist local to Atlanta, the rest of the team (10+) in Cambridge</li>\r\r\n<li>130 people in the entire company</li>\r\r\n</ul>, <p>Top skills required:</p>, <ul><li>Degree-level qualification with good mathematical background and knowledge of statistics.</li>\r\r\n<li>Professional experience using Random Forests, machine learning algorithms, development skills with C or Python</li>\r\r\n<li>First-hand experience of putting Data Storage into production</li>\r\r\n<li>Experience in implementing statistical models and analytical algorithms in software.</li>\r\r\n<li>Practical experience of the handling and mining of large, diverse, data sets.</li>\r\r\n<li>Must have a USA work visa or Passport.</li>\r\r\n</ul>, <p>Nice to have:</p>, <ul><li>Ph.D. or other postgraduate qualification would be an extreme advantage</li>\r\r\n<li>An indication of how relevant technologies have been used (not just a list).</li>\r\r\n<li>Attention to grammatical detail, layout and presentation.</li>\r\r\n</ul>, <p>Benefits:</p>, <ul><li>Regular bonus scheme</li>\r\r\n<li>20 days annual leave</li>\r\r\n<li>Healthcare package</li>\r\r\n<li>Free Friday lunches</li>\r\r\n<li>Regular social outings</li>\r\r\n<li>Fridge and cupboards packed full of edible treats</li>\r\r\n<li>Annual summer social and Christmas dinner</li>\r\r\n<li>Market Salary Expectation: $70-85k</li></ul>]
## 13 [<p><b>WHY CATALINA\r\r\n</b></p>, <p>Catalina’s personalized digital media connects shoppers to the brands we know they want. We do this by delivering only the most relevant ads and offers from their home to the aisle. And only Catalina knows the evolving purchase history and individual needs of more than three-quarters of (280 million) American shoppers. With the world’s largest shopper purchase history database driving all personalized media across our networks, Catalina drives lift and loyalty for the world’s leading CPG brands and retailers. We target consumers with the right behavior-based message when it’s most impactful via the channel that’s most likely to reach them — digital or in the store.\r\r\n</p>, <p><b>OUR TEAM\r\r\n</b></p>, <p>The Advanced Analytics and Data Science team at Catalina operates near the tip of spear, creating new, world-class science-based capabilities for external and internal clients, shepherding these initiatives from initial concept, prototyping / proof-of-concept, design, build, testing, training, and handoff. We use advanced machine learning, data science, operations research, statistics, and related analytics methodologies, operating on big data and delivered on a scalable computing platform using modern technologies. We illustrate value and drive to bring these capabilities to initial Production and ensure that these initiatives are successful when we hand off.\r\r\n</p>, <p>This position will report directly to the VP of Advanced Analytics and Data Science.\r\r\n</p>, <p><b>WHAT YOU WILL BE DOING\r\r\n</b></p>, <p>The Incumbent will\r\r\n</p>, <ul><li>Works on moderate to complex projects that require a singular area of expertise\r\r\n</li><li>Leads project planning sessions with users, business analysts, and team members to gather and analyze user requirements. Develops recommendations\r\r\n</li><li>Formulates mathematical models in an appropriate programming language or application\r\r\n</li><li>Analyzes raw input data from computer or other media\r\r\n</li><li>Validates and tests of models to ensure adequacy, or determines need for reformulation\r\r\n</li><li>Utilizes and stays current on applicable programming languages and software technologies\r\r\n</li><li>Tracks progress and reports out to stakeholders\r\r\n</li><li>Knows what quality means, strives for quality, designs for quality, tests and refines until a very high quality is achieved, and continuously improves\r\r\n</li><li>Delivers prototypes / proofs of concept\r\r\n</li><li>Recommends plans to bring to Production\r\r\n</li><li>This is a skilled position with minimal supervision required (supervision by manager a couple of times per week)\r\r\n</li></ul>, <p><b>WHAT YOU BRING TO THE TEAM\r\r\n</b></p>, <ul><li>Ph.D. in machine learning, computer science, engineering, mathematics, statistics, operations research, or related discipline; <b>OR\r\r\n</b></li><li>Masters degree in (same disciplines mentioned above) <b>AND </b>2+ years experience after graduate school in computation, data science, machine learning or related; <b>OR\r\r\n</b></li><li>Bachelor degree <b>AND </b>4+ years experience\r\r\n</li></ul>, <ul><li>Computing skills: programming (e.g., C++), cloud distributed computing, python / R, machine learning framework(s) (e.g., sk-learn, tensorflow), linux, bitbucket, Target Process/JIRA or other issue-tracking\r\r\n</li><li>Good communications, verbally, and also have ability to construct cogent design documents, emails and PowerPoints\r\r\n</li><li>Atlanta-based. (Will entertain candidates willing to relocate to Atlanta.)\r\r\n</li><li>Ability to travel up to 25%\r\r\n</li></ul>, <p><b>ADDITIONAL PREFERRED SKILLS\r\r\n</b></p>, <ul><li>Sunny disposition, team player\r\r\n</li><li>Academic networking\r\r\n </li></ul>, <p><b>CATALINA CORE VALUES\r\r\n </b></p>, <p><b>Be a trusted partner </b>: Act with integrity and positive intent\r\r\n </p>, <p><b>Focus on the customer: </b>Keep the needs of both internal and external customers as well as\r\r\n </p>, <p>consumers front and center\r\r\n </p>, <p><b>Act like an owner: </b>Think holistically about how your role helps fulfill our Mission\r\r\n </p>, <p><b>Be innovative: </b>Share and scale the best ideas regardless of origin\r\r\n </p>, <p><b>Strive for simplicity: </b>Add meaning and eliminate complexity\r\r\n </p>, <p><b>Value personal and professional growth: </b>Contribute to an environment that enables\r\r\n </p>, <p>individual, team and organizational success\r\r\n</p>, <p><i>The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform other job-related tasks other than those specifically presented in this description.<br/>\r\r\n</i><br/>\r\r\n</p>, <p><i>All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.<br/>\r\r\n</i></p>, <p><br/>\r\r\n<i>We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.\r\r\n</i></p>, <p><b>Note to Recruiters and Placement Agencies </b>: We do not accept unsolicited resumes from outside recruiters /placement agencies. Catalina will not pay fees associated with resumes presented through unsolicited means.</p>]
## 14 [<p>\r\r\nAchievement Network (ANet) is a nonprofit dedicated to educational equity. We help schools boost student learning with great teaching that’s grounded in standards, informed by data, and built on the successful practices of educators around the country.\r\r\n</p>, <p>Founded in 2005, ANet now serves over 700 schools educating over 230,000 students in California, Colorado, Connecticut, District of Columbia, Illinois, Louisiana, Massachusetts, Michigan, New Jersey, New York, Ohio, and Tennessee. Our support has consistently helped our partner schools—both district and charter—achieve breakthrough results for their students. ANet has received multiple awards and recognitions, including a prestigious Investing In Innovation (i3) grant from the federal government in 2010, New Schools Venture Fund’s “Organization of the Year” in 2011, and The NonProfit Time’s “Best Nonprofits to Work For” in 2015 and 2016.\r\r\n</p>, <ul><li> <b>Build and refine predictive models to help ANet understand what factors most drive instructional change, student performance, and school partner satisfaction (40%)</b></li><li> Extract, clean and analyze large volumes of assessment, product usage, and other data to glean insights on how ANet can better support schools and improve student learning outcomes</li><li> Analyze the impact of specific product / service offerings on school and student outcomes</li><li> Apply machine learning and statistical modeling techniques</li><li> Lead data characterization and mining of newer ANet data sources, including: establishing analytic rules, defining reporting requirements, and providing technical advisement on how to improve data validity</li><li> Identify new data sources that could strengthen insights into student and educator learning, including scraping publicly available data that might be relevant</li><li> Work with Engineering team to advise on long-term storage, analytic and cloud solutions</li><li> Support the Office of the CEO in quarterly top-line goal reporting, conducting follow-up analyses as needed</li></ul>, <ul><li> <b>Lead analytics of user feedback and usage data to help ANet increase school partnership strength and growth (30%)</b></li><li> Partner with business leads to formulate and scope key business questions\r\r\n</li><li> Work with business leads to design user feedback strategy that achieves the right balance of real-time feedback and periodic deeper reflections</li><li> Build analytic models that ingest multiple sources of feedback data to output holistic insights</li><li> Partner with data dashboard team to build intuitive, action-oriented, and holistic dashboards that enable internal stakeholders to understand their partners’ experiences and connect it to other data points</li><li> Project manage feedback collection strategy (likely a mix of surveys, online polling and usage analytics). Work across a range of internal partners to ensure timely survey build, administration, outreach, and response rate monitoring.\r\r\n</li><li> Boost end user (primarily team managers across Network, National & Program teams) internalization of user feedback results for action and decision-making</li></ul>, <ul><li> <b>Develop tools, code and systematic approaches to automate modeling, data joining, and ongoing model improvement (20%)</b></li></ul>, <ul><li> <b>Coach other analysts on use of statistical and machine learning packages and tools, to grow ANet’s analytic talent bench (10%)</b></li></ul>, <ul><li> <b>Data analysis skills and experience: </b>You bring 2-3 years direct experience building and deploying predictive models using Python or R, statistical hypothesis testing, common machine learning and statistical packages (scikit-learn, etc), and hyperparameter tuning.\r\r\n</li><li> You have experience extracting, cleaning and analyzing data sets with multiple millions of rows (preferably 10+ million) and have basic to intermediate experience in SQL.</li><li> You have demonstrated the ability to create intuitive visualizations and dashboards that drive action</li><li> You have experience researching and resolving data and analytic issues with a systematic, intuitive and problem-solving mentality while working with large, complex and incomplete sources\r\r\n</li><li> <b>Service-orientated:</b> You know that we are most effective when we work together and that we realize our impact through listening to and responding to the unique needs of others on ANet internal teams, always in service of our school communities.\r\r\n</li><li> <b>Strong organization skills:</b> You are confident owning projects independently because of your careful planning, time management, detail orientation, and prioritization skills.</li><li> <b>Highly flexible: </b>You know that schools and our Network teams are dynamic communities and a “one size fits all” approach won’t get us the results we want.\r\r\n</li><li> <b>Proactive and motivated:</b> You are willing to take initiative, ask for feedback, and consistently reflect on ways to improve. You are eager to grow professionally and acquire new statistical and technical skills. You are passionate about continuously learning about the latest data science tools and how they can be applied to advance student learning and outcomes.</li><li> <b>Belief in Achievement Network’s mission: </b>You have a passionate commitment to and a sense of urgency for the support of schools, along with a belief that all students can achieve at high levels.</li><li> <b>Belief in ANet’s Core Values:</b> You are motivated by working in an environment where we live out our core values daily and are eager to examine personal archetypes and biases while discussing topics related to race, class, and privilege which relate to ANet’s Advance Equity and People Matter values</li></ul>, <ul><li> You bring prior experience working within or on behalf of schools and/or education nonprofits<br/>\r\r\n</li></ul>]
## 15 [<ul><li><div>Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms</div></li>\r\r\n<li><div>Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions</div></li>\r\r\n<li><div>Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements</div></li></ul>, <ul><li> Master’s degree in Applied Math, Economics, Statistics, Engineering, Computer Science or other quantitative field.</li><li> Demonstrated specialized experience with data processing, database programming, and data analytics.</li><li> Demonstrated specialized experience with programming languages such as Python/R.</li><li> Demonstrated knowledge in using query languages such as SQL.</li><li> Demonstrated specialized experience with data visualization tools such as Tableau and/or Qlik.</li><li> Demonstrated knowledge of machine learning techniques and algorithms.</li><li> Demonstrated knowledge of DoD, IC, or other government agency programs, budgetary or finance processes.</li><li> Developing and implementing solutions to financial data management challenges using advanced programming language skills as well as Visual Basic for Applications (VBA), Structured Query Language (SQL), SQL Server, Microsoft Access and Microsoft Excel technologies.</li><li> Understanding financial management processes, software, applications, tools, and systems with a vision toward process improvement.</li><li> Data mining using state-of-the-art methods.</li><li> Extending FM’s data with sources of information from other areas of the enterprise when needed.</li><li> Processing, cleansing, and verifying the integrity of data used for analysis.</li><li> Creating automated anomaly detection and correction systems.</li><li> Experience with programming languages such as Python/R.</li><li> Experience with data visualization tools such as Tableau and/or Qlik.</li><li> Organizing and “wrangling” large datasets from multiple financial systems to develop actionable insights from them.</li><li> Creating meaningful data visualizations that communicate findings and potential for business impact to key decision makers.</li><li> Keeping up-to-date with latest technology trends.</li><li> Acting as a data expert and advisor in such areas as data system architectures, data governance.</li></ul>, <p>As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.</p>, <p>\r\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]
## 16 [<p>ExxonMobil Research and Engineering Company is seeking ambitious and motivated candidates with Engineering, Applied Math, Computer Science or related experience and with an interest in applying data analytics to solve the world’s toughest energy problems to join our Modeling & Optimization team at the Clinton, NJ campus.</p>, <p>Job Role Responsibilities\r\r\n</p>, <ul><li>Knowledge and experience with distributed data processing environments, non-convex optimization, and numerical methods</li>\r\r\n<li>Curious and analytical mindset</li>\r\r\n<li>Demonstrated strong leadership skills</li>\r\r\n<li>Excellent verbal and written communication skills</li>\r\r\n<li>Desire and ability to grow into new process technology areas and learn new skills<br/>\r\r\n</li></ul>, <p>Expected Level of Proficiency\r\r\n</p>, <ul><li>M.S./Ph.D. degree in Computer Science, Electrical/Chemical/Mechanical Engineering, Applied Mathematics, Statistics or other related scientific discipline</li>\r\r\n<li>Strong theoretical and applied background in machine learning, statistics, data-mining and optimization</li>\r\r\n<li>Strong communication skills with an ability to interact with a variety of researchers and business partners in different disciplines</li>\r\r\n<li>Demonstrate personal accountability for quality of work</li>\r\r\n<li>Use a measured risk approach in business decisions</li>\r\r\n</ul>, <p>ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.</p>, <p><br/>\r\r\n<b>Nearest Major Market: </b>New Jersey\r\r\n<br/>\r\r\n<b>Job Segment: </b>Analytics, Database, Engineer, Electrical, Computer Science, Management, Technology, Engineering</p>]
## 17 [<p><b>Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.<br/>\r\r\n</b></p>, <p><b>POSTDOCTORAL ASSOCIATE/DATA SCIENTIST</b>, <i>Koch Institute (KI) for Integrative Cancer Research-</i><i>Laboratory for Multiscale Regenerative Technologies (LMRT)</i>, to join Dr. Sangeeta Bhatia and her team in its fight to stop lung cancer. Will design experiments, manage data, and use advanced statistical, machine learning, and computational techniques to discover new targets for the design of next generation diagnostic and early detection technologies for various cancers, including protease activity-based nanosensors, with the goal of detecting and stratifying disease early enough for interception; and collaborate with various KI teams to guide the development of molecules against those targets with data-driven biomarker plans and engage with other team members who work in parallel on other tumor types and pathologic states. Responsibilities include engaging with other teams to define scientific questions that can be addressed with computational, statistical, or modeling capability; proposing analysis strategies for target discovery, helping devise statistical methods for deciding significance, and ranking schemes for integrating data from many sources; identifying protease targets and biological contexts in which the nanosensors are likely to be beneficial by mining genetic, genomic, or screening data; and developing biomarker plans in collaboration with project teams. The position offers a rare opportunity to engage in cutting-edge research in an environment that combines the best of academic support and intellectual innovation with the financial and translationally-relevant resources of working with a major pharma partner.<br/>\r\r\n<br/>\r\r\nAdditional information is available at https://lmrt.mit.edu/.\r\r\n</p>, <p><b>Job Requirements</b><br/>\r\r\n<b>\r\r\n</b></p>, <p><i>REQUIRED</i>: Ph.D. in a computational biophysics or bioinformatics-related field; strong communication, presentation, interpersonal, and collaboration skills; successful record of collaborating with cross-functional project teams; demonstrated ability to lead projects of moderate scope and map out critical path, milestones and timelines; and careful attention to detail. <b>Job #16685</b></p>]
## 18 [<p><b>We've made a lot of progress since opening the doors in 1942, but one thing has never changed - our commitment to serve, heal, lead, educate, </b><b>and innovate. We believe </b><b>that every award earned, every record broken and every patient helped is because of the dedicated employees who fill our hallways.\r\r\n</b></p>, <p><b>At Ochsner, whether you work with patients </b><b>every day </b><b>or support those who do, you are making a difference and that matters. Come make a difference at Ochsner Health System and discover your future today!\r\r\n</b></p>, <p>innovationOchsner (iO) is looking for a Data Scientist to join its entrepreneurial, multi-disciplinary and mission-focused team that is shaping the future of healthcare. iO is an innovation lab within Ochsner Health System, Louisiana’s largest not-for-profit health system. iO’s mission is to reimagine and revolutionize the delivery and experience of healthcare and dramatically improve health outcomes using technology, data and new thinking, with a focus on digital health, advanced analytics and precision medicine. Its work includes the O Bar, Digital Medicine, Optimal Hospital, Connected MOM, and numerous machine leaning and AI applications, and has been recognized by the ONC, Harvard Medical School and Harvard Business School, Microsoft and Apple, among others.\r\r\n</p>, <p>Partnering with Epic and Microsoft, Ochsner is one of the first healthcare systems in the country to apply artificial intelligence technology and machine learning to proactively treat patients in real time and save more lives. Watch Now\r\r\n</p>, <p>The Data Scientist will have the opportunity to utilize clinical and operational data from a standardized and consolidated database, a rarity at most health systems. Ochsner has a track record of moving quickly and implementing standardized workflows across the entire health system, and as a result, it drastically reduces the time it takes to extract meaningful data for analysis. The Data Scientist will use this data to develop computational algorithms, statistical tools, predictive models, and/or web applications that can drive operational efficiencies and save patients’ lives. Ochsner is interested in affecting change and driving outcomes. Candidates should be process-driven, detail-oriented, hands on, opinionated, a fast learner and passionate about technology and healthcare.\r\r\n</p>, <p><b>Education\r\r\n</b></p>, <ul><li>Required – Bachelor’s Degree in data analytics, computer science, mathematics, statistics, economics, or related field.\r\r\n</li><li>Preferred – Master’s Degree in data analytics, computer science, mathematics, statistics, economics, or related field.\r\r\n</li></ul>, <p><b>Work Experience\r\r\n</b></p>, <ul><li>Required – 1-3 year data analytics\r\r\n</li><li>Preferred – 3-5 years data analytics\r\r\n</li></ul>, <p><b>Knowledge Skills and Abilities (KSAs)\r\r\n</b></p>, <ul><li>Supervised modeling such as logistic regression, decision trees, SVM, neural networks.\r\r\n</li><li>NLP, text mining\r\r\n</li><li>Python and R, SQL-like query languages.\r\r\n</li><li>Deploying models using web services.\r\r\n</li><li>Effective verbal and written communication skills and the ability to present information clearly and professionally.\r\r\n</li><li>Must be proficient with Windows-style applications, various software packages specific to the role.\r\r\n</li></ul>, <p><b>Job Duties\r\r\n</b></p>, <ul><li>Develop and implement new machine learning models to be used in clinical, operational, and corporate areas.\r\r\n</li><li>Drive the collection of new data and the refinement of existing data sources.\r\r\n</li><li>Research new methods to improve machine learning algorithms.\r\r\n</li><li>Perform studies to gain deeper understanding of how patients and employees interact with the health system.\r\r\n</li><li>Other related duties as required.\r\r\n</li></ul>, <p>The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added, or this description amended at any time.\r\r\n</p>, <p>Ochsner is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.\r\r\n</p>, <p><b>Physical and Environmental Demands\r\r\n</b></p>, <p>The physical essential functions of this job include (but are not limited to) the following: Frequently exerting 10 to 20 pounds of force to move objects; occasionally exerting up to 100 pounds of force. Physical demand requirements are in excess of those for sedentary work. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\r\r\n</p>, <p><b>Are you ready to make a difference at Ochsner and live our values of Patient's First, Compassion, Integrity, Excellence, & Teamwork?\r\r\n</b></p>, <p><b><i>Ochsner Health System endeavors to make our site accessible to all users. If you would like to contact us regarding the accessibility of our website, or if you need an accommodation to complete the application process, please contact our HR Employee Service Center at 504-842-4748 (select option 1) or </i></b><b><i>careers@ochsner.org </i></b><b><i>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.\r\r\n </i></b></p>, <p><b><i>EEO is the Law links in </i></b><b><i>English </i></b><b><i>or </i></b><b><i>Spanish </i></b><b><i>.\r\r\n</i></b></p>, <p><b><i>Affirmative Action Policy Statement</i></b></p>]
## 19 [<p>Raytheon is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.</p>]
## 20 [<p>Raytheon is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.</p>]
## 21
## 22 [<p><b>ERM </b>is seeking an <b>Environmental Data Manager/Data Scientist </b>in the Southeastern United States. The ideal candidate will be self-motivated, detail-oriented, and interested in a career involving analytical data management, database programming, or data science. As part of our team, you will work on large environmental projects across North America, and support ERM’s projects worldwide.\r\r\n</p>, <p><b>RESPONSIBILITIES:\r\r\n</b></p>, <ul><li>Integrate data from laboratory, field, and historical sources into ERM’s EQuIS\231 databases and other systems.\r\r\n</li><li>Work with project teams to plan sampling campaigns and deliverable schedules, provide query/reporting support, and develop reporting dashboards.\r\r\n</li><li>Design, develop, test, and maintain SQL Server tables, queries, functions, views, and stored procedures to support ad-hoc user reporting requests and troubleshooting.\r\r\n</li><li>Work with ERM’s various Technical Communities to develop new data services.\r\r\n</li><li>Interact and maintain successful relationships with clients, ERM employees, and subcontractors.\r\r\n</li><li>Perform and manage multiple tasks within scope/budget/schedule expectations and ensure quality standards on project deliverables.\r\r\n</li></ul>, <p><b>REQUIREMENTS:\r\r\n</b></p>, <ul><li>BS/BA degree in a related field.\r\r\n</li><li>5+ years of previous work experience in environmental data management with strong analytical/database skills, or clear aptitude for data science. Experience with data modeling and SQL is preferred.\r\r\n</li><li>A background in chemistry, or experience with laboratory analytical databases (LIMS) and data validation is a plus.\r\r\n</li><li>Experience with the following applications is preferred: EarthSoft’s EQuIS\231 (and all included modules); Microsoft Access, Excel (intermediate to advance), SQL Server, and Sharepoint. Familiarity with ArcGIS and AutoCAD, as well as geological visualization tools like EnviroInsite, LeapFrog, gINT and RockWorks is a plus.\r\r\n</li><li>Experience with Dashboard tools (Power BI, EQuIS\231 Enterprise) is preferred.\r\r\n</li><li>Strong organizational and communication skills are required.\r\r\n</li></ul>, <p>Please submit your resume and brief cover letter. Qualified candidates will be contacted by email, and requested to complete a video questionnaire. Based on review of these responses, shortlisted candidates will be invited for interviews.\r\r\n</p>, <p>Thank you for your interest in ERM!\r\r\n</p>, <p>ERM does not accept recruiting agency resumes. Please do not forward resumes to our jobs alias, ERM employees or any other company location. ERM is not responsible for any fees related to unsolicited resumes.</p>]
## 23 [<ul><li><div>Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms</div></li>\r\r\n<li><div>Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions</div></li>\r\r\n<li><div>Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements</div></li></ul>, <p>As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.</p>, <p>\r\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]
## 24 [<p><b>We've made a lot of progress since opening the doors in 1942, but one thing has never changed - our commitment to serve, heal, lead, educate, </b><b>and innovate. We believe </b><b>that every award earned, every record broken and every patient helped is because of the dedicated employees who fill our hallways.\r\r\n</b></p>, <p><b>At Ochsner, whether you work with patients </b><b>every day </b><b>or support those who do, you are making a difference and that matters. Come make a difference at Ochsner Health System and discover your future today!\r\r\n</b></p>, <p>innovationOchsner (iO) is looking for a Data Scientist to join its entrepreneurial, multi-disciplinary and mission-focused team that is shaping the future of healthcare. iO is an innovation lab within Ochsner Health System, Louisiana’s largest not-for-profit health system. iO’s mission is to reimagine and revolutionize the delivery and experience of healthcare and dramatically improve health outcomes using technology, data and new thinking, with a focus on digital health, advanced analytics and precision medicine. Its work includes the O Bar, Digital Medicine, Optimal Hospital, Connected MOM, and numerous machine leaning and AI applications, and has been recognized by the ONC, Harvard Medical School and Harvard Business School, Microsoft and Apple, among others.\r\r\n</p>, <p>Partnering with Epic and Microsoft, Ochsner is one of the first healthcare systems in the country to apply artificial intelligence technology and machine learning to proactively treat patients in real time and save more lives. Watch Now\r\r\n</p>, <p>The Data Scientist will have the opportunity to utilize clinical and operational data from a standardized and consolidated database, a rarity at most health systems. Ochsner has a track record of moving quickly and implementing standardized workflows across the entire health system, and as a result, it drastically reduces the time it takes to extract meaningful data for analysis. The Data Scientist will use this data to develop computational algorithms, statistical tools, predictive models, and/or web applications that can drive operational efficiencies and save patients’ lives. Ochsner is interested in affecting change and driving outcomes. Candidates should be process-driven, detail-oriented, hands on, opinionated, a fast learner and passionate about technology and healthcare.\r\r\n</p>, <p>Education\r\r\n</p>, <ul><li>Required – Bachelor’s Degree in data analytics, computer science, mathematics, statistics, economics, or related field.\r\r\n</li><li>Preferred – Master’s Degree in data analytics, computer science, mathematics, statistics, economics, or related field.\r\r\n</li></ul>, <p>Work Experience\r\r\n</p>, <ul><li>Preferred – 3-5 years data analytics\r\r\n</li></ul>, <p>Knowledge Skills and Abilities (KSAs)\r\r\n</p>, <ul><li>Supervised modeling such as logistic regression, decision trees, SVM, neural networks.\r\r\n</li><li>NLP, text mining\r\r\n</li><li>Python and R, SQL-like query languages.\r\r\n</li><li>Deploying models using web services.\r\r\n</li><li>Effective verbal and written communication skills and the ability to present information clearly and professionally.\r\r\n</li><li>Must be proficient with Windows-style applications, various software packages specific to the role.\r\r\n</li></ul>, <p>Job Duties\r\r\n</p>, <ul><li>Develop and implement new machine learning models to be used in clinical, operational, and corporate areas.\r\r\n</li><li>Drive the collection of new data and the refinement of existing data sources.\r\r\n</li><li>Research new methods to improve machine learning algorithms.\r\r\n</li><li>Perform studies to gain deeper understanding of how patients and employees interact with the health system.\r\r\n</li><li>Other related duties as required.\r\r\n</li></ul>, <p>The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added, or this description amended at any time.\r\r\n</p>, <p>Ochsner is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.\r\r\n</p>, <p>Physical and Environmental Demands\r\r\n</p>, <p>The physical essential functions of this job include (but are not limited to) the following: Frequently exerting 10 to 20 pounds of force to move objects; occasionally exerting up to 100 pounds of force. Physical demand requirements are in excess of those for sedentary work. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\r\r\n</p>, <p><b>Are you ready to make a difference at Ochsner and live our values of Patient's First, Compassion, Integrity, Excellence, & Teamwork?\r\r\n</b></p>, <p><b><i>Ochsner Health System endeavors to make our site accessible to all users. If you would like to contact us regarding the accessibility of our website, or if you need an accommodation to complete the application process, please contact our HR Employee Service Center at 504-842-4748 (select option 1) or </i></b><b><i>careers@ochsner.org </i></b><b><i>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.\r\r\n </i></b></p>, <p><b><i>EEO is the Law links in </i></b><b><i>English </i></b><b><i>or </i></b><b><i>Spanish </i></b><b><i>.\r\r\n</i></b></p>, <p><b><i>Affirmative Action Policy Statement</i></b></p>]
## 25 [<ul><li>\r\r\nWe are accepting applications until January 28, 2019.</li><li>\r\r\nOur team will review applications on a rolling basis and interviews will begin in November 2018. It is in your best interest to submit your application early.</li><li>\r\r\nThe Google AI Residency Program will have 3 start dates over the course of 5 months, from June to October 2019. Exact dates are yet to be determined.</li></ul>, <p><b>\r\r\nAbout the Program:</b><br/>\r\r\nThe Google AI Residency Program is a 12-month role designed to advance your career in machine learning research. The goal of the residency is to help residents become productive and successful AI researchers.</p>, <p>As part of this program, Residents collaborate with distinguished scientists from various Google AI teams working on machine learning applications and problems. Residents have the opportunity to do everything from conducting fundamental research to contributing to products and services used by billions of people. We also encourage our Residents to publish their work externally. Take a look at the impactful research done by earlier cohorts.</p>, <p><b>Please note that by applying to this job, you may be considered for all of the locations: </b>Bay Area (Mountain View and San Francisco), New York City, Cambridge (Massachusetts), Montreal and Toronto, Canada, Seattle (Washington State), Accra (Ghana), Tel Aviv (Israel) and Zurich (Switzerland). Residents are placed based on interest, project fit, location preference and team needs. All are expected to work on site.</p>, <p>We encourage candidates from all over the world to apply. You may have research experience in another field (e.g. human-computer interaction, mathematics, physics, bioinformatics, etc.) and want to apply machine learning to this area, or have limited research experience but a strong desire to learn more. Current students will need to graduate from their degree program (BS/MS/PhD) before the residency begins. If a candidate requires work authorization for a location, Google will explore the available options on a case-by-case basis.</p>, <p>Your application should show evidence of proficiency in programming and in prerequisite courses (e.g., machine learning, user-centered interfaces or applications, data science, mathematical analysis). This can be demonstrated through links to open-source projects, notable performances in competitions, publications and blog posts, or projects that showcase implementation of one or more novel learning algorithms.</p>, <p><b>\r\r\nTo start the application process,</b> click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):</p>, <p><b>\r\r\n1. </b>In the “Resume Section:” attach an updated CV or resume.<br/>\r\r\n<b>2. </b>In the “Cover letter/other notes Section:” Copy and paste a cover letter which <b>must</b> include answers to the following questions:</p>, <ul><li>\r\r\nWhat are your primary research interests and why do you think they are important?</li><li>\r\r\nHow would participating in the AI Residency help you to explore your research interests and achieve your goals?</li><li>\r\r\nGive an example of an open-ended research question or project you’ve worked on. What made it challenging and how did you overcome those challenges? Alternatively, summarize and critique a machine learning paper you have read that you found interesting.</li></ul>, <p><b>\r\r\n**Although cover letters are optional for most job applications at Google (as noted on the website), it is a mandatory component for this application. Complete applications (cover letters included) will be prioritized for review over incomplete applications.</b></p>, <p><b>\r\r\n3. </b>In the “Education Section:” attach a current or recent unofficial or official transcript in English if you have graduated in the last three years.</p>, <ul><li>\r\r\nUnder “Degree Status,” select “Now attending” to upload a transcript.</li></ul>, <ul><li>Please note that we will ask you to provide a Letter of Recommendation once you have passed the initial Hangouts interview.</li></ul>, <p>\r\r\nThere is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started.</p>, <ul><li>Work with research mentors to formulate research project(s) and/or novel application(s) of machine learning.</li><li>\r\r\nConduct research and publish it in competitive venues.</li><li>\r\r\nImplement algorithms, experiments and/or human-computer interfaces using frameworks such as TensorFlow.</li><li>\r\r\nLearn and understand a large body of research in machine learning algorithms.</li></ul>, <ul>\r\r\n<li>BS degree or equivalent practical experience in a STEM field such as Computer Science, Mathematics, or Statistics.</li>\r\r\n<li>Completed coursework in statistics, algorithms, calculus, linear algebra, or probability (or their equivalent).</li>\r\r\n<li>Experience with one or more general purpose programming languages, including but not limited to: Python or C/C++</li>\r\r\n<li>Experience with machine learning; or applications of machine learning to NLP, human-computer interaction, computer vision, speech, computer systems, robotics, algorithms, optimization, on-device learning, social networks, economics, information retrieval, journalism, or health care.</li>\r\r\n</ul>, <ul>\r\r\n<li>Research experience in machine learning or deep learning (e.g. links to open-source work or link to novel learning algorithms).\r\r\n</li><li>Open-source project experience that demonstrates programming, mathematical, and machine learning abilities and interests.</li>\r\r\n</ul>]
## 26 [<ul><li>\r\r\nWe are accepting applications until January 28, 2019.</li><li>\r\r\nOur team will review applications on a rolling basis and interviews will begin in November 2018. It is in your best interest to submit your application early.</li><li>\r\r\nThe Google AI Residency Program will have 3 start dates over the course of 5 months, from June to October 2019. Exact dates are yet to be determined.</li></ul>, <p><b>\r\r\nAbout the Program:</b><br/>\r\r\nThe Google AI Residency Program is a 12-month role designed to advance your career in machine learning research. The goal of the residency is to help residents become productive and successful AI researchers.</p>, <p>As part of this program, Residents collaborate with distinguished scientists from various Google AI teams working on machine learning applications and problems. Residents have the opportunity to do everything from conducting fundamental research to contributing to products and services used by billions of people. We also encourage our Residents to publish their work externally. Take a look at the impactful research done by earlier cohorts.</p>, <p><b>Please note that by applying to this job, you may be considered for all of the locations: </b>Bay Area (Mountain View and San Francisco), New York City, Cambridge (Massachusetts), Montreal and Toronto, Canada, Seattle (Washington State), Accra (Ghana), Tel Aviv (Israel) and Zurich (Switzerland). Residents are placed based on interest, project fit, location preference and team needs. All are expected to work on site.</p>, <p>We encourage candidates from all over the world to apply. You may have research experience in another field (e.g. human-computer interaction, mathematics, physics, bioinformatics, etc.) and want to apply machine learning to this area, or have limited research experience but a strong desire to learn more. Current students will need to graduate from their degree program (BS/MS/PhD) before the residency begins. If a candidate requires work authorization for a location, Google will explore the available options on a case-by-case basis.</p>, <p>Your application should show evidence of proficiency in programming and in prerequisite courses (e.g., machine learning, user-centered interfaces or applications, data science, mathematical analysis). This can be demonstrated through links to open-source projects, notable performances in competitions, publications and blog posts, or projects that showcase implementation of one or more novel learning algorithms.</p>, <p><b>\r\r\nTo start the application process,</b> click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):</p>, <p><b>\r\r\n1. </b>In the “Resume Section:” attach an updated CV or resume.<br/>\r\r\n<b>2. </b>In the “Cover letter/other notes Section:” Copy and paste a cover letter which <b>must</b> include answers to the following questions:</p>, <ul><li>\r\r\nWhat are your primary research interests and why do you think they are important?</li><li>\r\r\nHow would participating in the AI Residency help you to explore your research interests and achieve your goals?</li><li>\r\r\nGive an example of an open-ended research question or project you’ve worked on. What made it challenging and how did you overcome those challenges? Alternatively, summarize and critique a machine learning paper you have read that you found interesting.</li></ul>, <p><b>\r\r\n**Although cover letters are optional for most job applications at Google (as noted on the website), it is a mandatory component for this application. Complete applications (cover letters included) will be prioritized for review over incomplete applications.</b></p>, <p><b>\r\r\n3. </b>In the “Education Section:” attach a current or recent unofficial or official transcript in English if you have graduated in the last three years.</p>, <ul><li>\r\r\nUnder “Degree Status,” select “Now attending” to upload a transcript.</li></ul>, <ul><li>Please note that we will ask you to provide a Letter of Recommendation once you have passed the initial Hangouts interview.</li></ul>, <p>\r\r\nThere is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started.</p>, <ul><li>Work with research mentors to formulate research project(s) and/or novel application(s) of machine learning.</li><li>\r\r\nConduct research and publish it in competitive venues.</li><li>\r\r\nImplement algorithms, experiments and/or human-computer interfaces using frameworks such as TensorFlow.</li><li>\r\r\nLearn and understand a large body of research in machine learning algorithms.</li></ul>, <ul>\r\r\n<li>BS degree or equivalent practical experience in a STEM field such as Computer Science, Mathematics, or Statistics.</li>\r\r\n<li>Completed coursework in statistics, algorithms, calculus, linear algebra, or probability (or their equivalent).</li>\r\r\n<li>Experience with one or more general purpose programming languages, including but not limited to: Python or C/C++</li>\r\r\n<li>Experience with machine learning; or applications of machine learning to NLP, human-computer interaction, computer vision, speech, computer systems, robotics, algorithms, optimization, on-device learning, social networks, economics, information retrieval, journalism, or health care.</li>\r\r\n</ul>, <ul>\r\r\n<li>Research experience in machine learning or deep learning (e.g. links to open-source work or link to novel learning algorithms).\r\r\n</li><li>Open-source project experience that demonstrates programming, mathematical, and machine learning abilities and interests.</li>\r\r\n</ul>]
## 27 [<p><b><i>Science and Technology on a Mission!</i></b></p>, <p>\r\r\nFor more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place.</p>, <p>We are looking for a Postdoctoral Researcher to perform research in the area of data analysis and machine learning with a goal to develop new techniques, analyze and steer multi-scale simulations in a large-scale parallel workflow. You will work with a multi-disciplinary team in computational biology, parallel computation, computer science and mathematics to research, implement, and apply machine learning approaches to computational cancer research. You will also have opportunities to contribute to additional research projects, ranging from high energy physics to brain research and fundamental machine learning to information visualization. This position is in the Computation Directorate within the Center for Applied Scientific Computing (CASC) Division.</p>, <ul><li>Conduct independent research and development in one or more areas of computer science of interest to CASC (machine learning, large-scale workflows, adaptive sampling, information visualization).</li><li>Develop software to evaluate novel computational techniques.</li><li>Participate in the establishment of future research directions and contribute to group grant proposals, including proposal presentations and preparation of proposals that will provide future research opportunities in the field.</li><li>Document research by publishing papers in peer-reviewed media and presenting papers within the DOE community and at conferences.</li><li>Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to define and carry out the research.</li><li>Perform other duties as assigned.</li></ul>, <ul><li>PhD in Computer Science or a related field.</li><li>Experience in modern machine learning environments (TensorFlow, Keras, etc.).</li><li>Experience in machine learning, statistics, adaptive sampling information visualization or a related field.</li><li>Experience in python.</li><li>Experience with UNIX tools, version control (subversion, git).</li><li>Demonstrated ability to conduct high quality research and to develop implementations to evaluate the results.</li><li>Effective verbal and written communication skills necessary to interact with a multi-disciplinary research team, author technical and scientific reports and papers, and deliver scientific presentations.</li></ul>, <ul><li>Experience in application development.</li><li>Experience working with parallel applications and workflow tools (job submission, batch scripts, etc.).</li><li>Experience in molecular dynamics simulations, computational biology, or related application areas.</li></ul>, <p><b>Pre-Employment Drug Test:</b> External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.</p>, <p><b>Security Clearance:</b> None required.</p>, <p><b>Note:</b> This is a one year Postdoctoral appointment with the possibility of extension to a maximum of three years. Eligible candidates are recent PhDs within five years of the month of the degree award at time of hire date.</p>, <p><b>About Us</b></p>, <p>\r\r\nLawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $1.8 billion, employing approximately 6,500 employees.</p>, <p>\r\r\nLLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law.</p>]
## 28 [<p>Adobe Photoshop is used by over 90% of the world’s creative professionals to bring what they imagine to life. Join our team – a startup inside Adobe – as we reimagine it to create a next generation tool that empowers everyone to simply, easily create the stunning images and designs they imagine.\r\r\n</p>, <p>We’re seeking an Applied Machine Learning Scientist to discover and build machine learning workflows from noisy data on a large scale. We’re a product research team with strong organizational support. Our team is relatively small, but growing. We’re using lean app development principles — iterating fast and incorporating extensive user testing — to stay focused on solving real customer problems and to experiment with new ideas. Our process is highly collaborative and there is plenty of room to make a big impact.\r\r\n</p>, <p>You’ll work closely with the other team members to help build data collection & ML-retraining workflows based on user need and business impact. You’ll study user behavior and data, make hypotheses, and conduct experiments. You’ll then apply learnings to build real user workflows in the application that capture the best data possible to enhance our ML-backed creative imaging features and algorithms.\r\r\n</p>, <p><b>Job Requirements\r\r\n</b></p>, <ul><li>Creative problem solving; independent (and team!) thinking; great communication skills\r\r\n</li><li>Strong foundation in ML fundamentals\r\r\n</li><li>Data mining & Analytics\r\r\n</li><li>Experience with scikit-learn (or similar) packages\r\r\n</li><li>Familiarity with ML Frameworks (TensorFlow, Keras, etc)\r\r\n</li><li>Solid Javascript/HTML/CSS & ability to craft nice UX\r\r\n</li></ul>, <p><b>Nice To Haves\r\r\n</b></p>, <ul><li>Experience with Deep Learning, Neural Networks\r\r\n</li><li>Experience with React (other Js Frameworks, too), ES6\r\r\n</li></ul>, <p>At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists . You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.\r\r\n</p>, <p>If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.\r\r\n</p>, <p>Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age , sexual orientation, gender identity, disability or veteran status.</p>]
## 29 [<p><b>Company Description:</b></p>, <p>\r\r\nWho is Intuitive Surgical? The numbers tell an amazing story. Learn more about our company.</p>, <ul><li>Exploration and development of machine learning algorithms for spatiotemporal analysis, including multiclass classification, clustering, temporal segmentation, sequence labeling, and spatial segmentation.</li></ul>, <ul><li>Development of new technologies and digital products to improve surgeon and team performance on robotic surgery platforms.</li></ul>, <ul><li>Support academic collaborations in related fields.</li></ul>, <ul><li>Contributing to multiple areas of research, including but not limited to the following:</li></ul>, <ul><li>Establishing strong academic collaborations across research disciplines</li></ul>, <ul><li>Presenting research at international conferences and publishing research in top academic journals</li></ul>, <ul><li>Doctoral degree in Computer Science, Statistics, Applied Mathematics, or Neuroscience, or Master's degree with minimum 3 years industry experience developing machine learning applications</li></ul>, <ul><li>Demonstrate excellent communication skills both written and verbal\r\r\n</li></ul>, <ul><li>Interested in early research and development through to product roll-out</li></ul>, <ul><li>Solid understanding of statistics, machine learning, and deep learning algorithms and techniques is required</li></ul>, <ul><li>Experience with sequence modeling, image analysis, and/or temporal segmentation on real-world data is required</li></ul>, <ul><li>Experience with Python and C/C++ is required</li></ul>, <ul><li>Hands-on experience with deep learning frameworks such as Tensorflow, Theano, Caffe, and/or Torch is required</li></ul>, <ul><li>Hands-on experience with CNNs, RNNs, and LSTMs is ideal</li></ul>, <ul><li>Experience with R, SQL is ideal</li></ul>, <ul><li>Experience with clinical studies is a plus</li></ul>, <ul><li>Ability to travel domestically and internationally (5-15%)</li></ul>]
## 30 [<ul><li>\r\r\nWe are accepting applications until January 28, 2019.</li><li>\r\r\nOur team will review applications on a rolling basis and interviews will begin in November 2018. It is in your best interest to submit your application early.</li><li>\r\r\nThe Google AI Residency Program will have 3 start dates over the course of 5 months, from June to October 2019. Exact dates are yet to be determined.</li></ul>, <p><b>\r\r\nAbout the Program:</b><br/>\r\r\nThe Google AI Residency Program is a 12-month role designed to advance your career in machine learning research. The goal of the residency is to help residents become productive and successful AI researchers.</p>, <p>As part of this program, Residents collaborate with distinguished scientists from various Google AI teams working on machine learning applications and problems. Residents have the opportunity to do everything from conducting fundamental research to contributing to products and services used by billions of people. We also encourage our Residents to publish their work externally. Take a look at the impactful research done by earlier cohorts.</p>, <p><b>Please note that by applying to this job, you may be considered for all of the locations: </b>Bay Area (Mountain View and San Francisco), New York City, Cambridge (Massachusetts), Montreal and Toronto, Canada, Seattle (Washington State), Accra (Ghana), Tel Aviv (Israel) and Zurich (Switzerland). Residents are placed based on interest, project fit, location preference and team needs. All are expected to work on site.</p>, <p>We encourage candidates from all over the world to apply. You may have research experience in another field (e.g. human-computer interaction, mathematics, physics, bioinformatics, etc.) and want to apply machine learning to this area, or have limited research experience but a strong desire to learn more. Current students will need to graduate from their degree program (BS/MS/PhD) before the residency begins. If a candidate requires work authorization for a location, Google will explore the available options on a case-by-case basis.</p>, <p>Your application should show evidence of proficiency in programming and in prerequisite courses (e.g., machine learning, user-centered interfaces or applications, data science, mathematical analysis). This can be demonstrated through links to open-source projects, notable performances in competitions, publications and blog posts, or projects that showcase implementation of one or more novel learning algorithms.</p>, <p><b>\r\r\nTo start the application process,</b> click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):</p>, <p><b>\r\r\n1. </b>In the “Resume Section:” attach an updated CV or resume.<br/>\r\r\n<b>2. </b>In the “Cover letter/other notes Section:” Copy and paste a cover letter which <b>must</b> include answers to the following questions:</p>, <ul><li>\r\r\nWhat are your primary research interests and why do you think they are important?</li><li>\r\r\nHow would participating in the AI Residency help you to explore your research interests and achieve your goals?</li><li>\r\r\nGive an example of an open-ended research question or project you’ve worked on. What made it challenging and how did you overcome those challenges? Alternatively, summarize and critique a machine learning paper you have read that you found interesting.</li></ul>, <p><b>\r\r\n**Although cover letters are optional for most job applications at Google (as noted on the website), it is a mandatory component for this application. Complete applications (cover letters included) will be prioritized for review over incomplete applications.</b></p>, <p><b>\r\r\n3. </b>In the “Education Section:” attach a current or recent unofficial or official transcript in English if you have graduated in the last three years.</p>, <ul><li>\r\r\nUnder “Degree Status,” select “Now attending” to upload a transcript.</li></ul>, <ul><li>Please note that we will ask you to provide a Letter of Recommendation once you have passed the initial Hangouts interview.</li></ul>, <p>\r\r\nThere is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started.</p>, <ul><li>Work with research mentors to formulate research project(s) and/or novel application(s) of machine learning.</li><li>\r\r\nConduct research and publish it in competitive venues.</li><li>\r\r\nImplement algorithms, experiments and/or human-computer interfaces using frameworks such as TensorFlow.</li><li>\r\r\nLearn and understand a large body of research in machine learning algorithms.</li></ul>, <ul>\r\r\n<li>BS degree or equivalent practical experience in a STEM field such as Computer Science, Mathematics, or Statistics.</li>\r\r\n<li>Completed coursework in statistics, algorithms, calculus, linear algebra, or probability (or their equivalent).</li>\r\r\n<li>Experience with one or more general purpose programming languages, including but not limited to: Python or C/C++</li>\r\r\n<li>Experience with machine learning; or applications of machine learning to NLP, human-computer interaction, computer vision, speech, computer systems, robotics, algorithms, optimization, on-device learning, social networks, economics, information retrieval, journalism, or health care.</li>\r\r\n</ul>, <ul>\r\r\n<li>Research experience in machine learning or deep learning (e.g. links to open-source work or link to novel learning algorithms).\r\r\n</li><li>Open-source project experience that demonstrates programming, mathematical, and machine learning abilities and interests.</li>\r\r\n</ul>]
## 31
## 32 [<ul><li>\r\r\nWe are accepting applications until January 28, 2019.</li><li>\r\r\nOur team will review applications on a rolling basis and interviews will begin in November 2018. It is in your best interest to submit your application early.</li><li>\r\r\nThe Google AI Residency Program will have 3 start dates over the course of 5 months, from June to October 2019. Exact dates are yet to be determined.</li></ul>, <p><b>\r\r\nAbout the Program:</b><br/>\r\r\nThe Google AI Residency Program is a 12-month role designed to advance your career in machine learning research. The goal of the residency is to help residents become productive and successful AI researchers.</p>, <p>As part of this program, Residents collaborate with distinguished scientists from various Google AI teams working on machine learning applications and problems. Residents have the opportunity to do everything from conducting fundamental research to contributing to products and services used by billions of people. We also encourage our Residents to publish their work externally. Take a look at the impactful research done by earlier cohorts.</p>, <p><b>Please note that by applying to this job, you may be considered for all of the locations: </b>Bay Area (Mountain View and San Francisco), New York City, Cambridge (Massachusetts), Montreal and Toronto, Canada, Seattle (Washington State), Accra (Ghana), Tel Aviv (Israel) and Zurich (Switzerland). Residents are placed based on interest, project fit, location preference and team needs. All are expected to work on site.</p>, <p>We encourage candidates from all over the world to apply. You may have research experience in another field (e.g. human-computer interaction, mathematics, physics, bioinformatics, etc.) and want to apply machine learning to this area, or have limited research experience but a strong desire to learn more. Current students will need to graduate from their degree program (BS/MS/PhD) before the residency begins. If a candidate requires work authorization for a location, Google will explore the available options on a case-by-case basis.</p>, <p>Your application should show evidence of proficiency in programming and in prerequisite courses (e.g., machine learning, user-centered interfaces or applications, data science, mathematical analysis). This can be demonstrated through links to open-source projects, notable performances in competitions, publications and blog posts, or projects that showcase implementation of one or more novel learning algorithms.</p>, <p><b>\r\r\nTo start the application process,</b> click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):</p>, <p><b>\r\r\n1. </b>In the “Resume Section:” attach an updated CV or resume.<br/>\r\r\n<b>2. </b>In the “Cover letter/other notes Section:” Copy and paste a cover letter which <b>must</b> include answers to the following questions:</p>, <ul><li>\r\r\nWhat are your primary research interests and why do you think they are important?</li><li>\r\r\nHow would participating in the AI Residency help you to explore your research interests and achieve your goals?</li><li>\r\r\nGive an example of an open-ended research question or project you’ve worked on. What made it challenging and how did you overcome those challenges? Alternatively, summarize and critique a machine learning paper you have read that you found interesting.</li></ul>, <p><b>\r\r\n**Although cover letters are optional for most job applications at Google (as noted on the website), it is a mandatory component for this application. Complete applications (cover letters included) will be prioritized for review over incomplete applications.</b></p>, <p><b>\r\r\n3. </b>In the “Education Section:” attach a current or recent unofficial or official transcript in English if you have graduated in the last three years.</p>, <ul><li>\r\r\nUnder “Degree Status,” select “Now attending” to upload a transcript.</li></ul>, <ul><li>Please note that we will ask you to provide a Letter of Recommendation once you have passed the initial Hangouts interview.</li></ul>, <p>\r\r\nThere is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We're constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We're providing users around the world with great search results every day, but at Google, great just isn't good enough. We're just getting started.</p>, <ul><li>Work with research mentors to formulate research project(s) and/or novel application(s) of machine learning.</li><li>\r\r\nConduct research and publish it in competitive venues.</li><li>\r\r\nImplement algorithms, experiments and/or human-computer interfaces using frameworks such as TensorFlow.</li><li>\r\r\nLearn and understand a large body of research in machine learning algorithms.</li></ul>, <ul>\r\r\n<li>BS degree or equivalent practical experience in a STEM field such as Computer Science, Mathematics, or Statistics.</li>\r\r\n<li>Completed coursework in statistics, algorithms, calculus, linear algebra, or probability (or their equivalent).</li>\r\r\n<li>Experience with one or more general purpose programming languages, including but not limited to: Python or C/C++</li>\r\r\n<li>Experience with machine learning; or applications of machine learning to NLP, human-computer interaction, computer vision, speech, computer systems, robotics, algorithms, optimization, on-device learning, social networks, economics, information retrieval, journalism, or health care.</li>\r\r\n</ul>, <ul>\r\r\n<li>Research experience in machine learning or deep learning (e.g. links to open-source work or link to novel learning algorithms).\r\r\n</li><li>Open-source project experience that demonstrates programming, mathematical, and machine learning abilities and interests.</li>\r\r\n</ul>]
## 33 [<p>Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!</p>, <p>Splunk is looking for highly motivated college students to join our team. As an intern, you will work on a real project (or a few) and have an opportunity to enjoy our dynamic, startup-like environment.</p>, <p>\r\r\nYou will experience Splunking and what defines our culture while honing the skills which separate our development teams from others. Working to support internal and external customer needs, you will collaborate with multi-functional teams, receive mentorship, and gain insight into our values-driven process. Our goal is both to support your growth and development while empowering you for a successful start to your career.</p>, <p>\r\r\nAs a <b>Machine Learning Intern </b>you will be responsible for …</p>, <ul><li>\r\r\nAchieving data science and software engineering goals set by you and your mentor</li><li>\r\r\nLearning about Splunk, both the product and the company</li><li>\r\r\nWorking and socializing with the other interns as well as full-timers</li></ul>, <p><b>Minimum Qualifications:\r\r\n</b></p>, <ul><li>Strong interest in state-of-art Machine Learning techniques.</li><li>\r\r\nEnthusiasm for solving interesting problems</li><li>\r\r\nYou enjoy working well with others in a fast-paced environment</li><li>\r\r\nYou enjoy working within an agile environment</li><li>\r\r\nStrong communication skills, verbal and written</li></ul>, <ul><li>Hands-on experience in Machine Learning techniques, such as logistic regression, naïve Bayes, SVM, decision trees and random forests etc.</li><li>\r\r\nSolid understanding of statistical modeling/machine learning/ data mining</li><li>\r\r\nExperience programming in a large software project – at school, professionally, or in an open source context</li></ul>, <ul><li>Actively pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics or a related field, and strong record of academic achievement</li></ul>, <ul><li>\r\r\nThe opportunity to work with a set of extraordinarily talented and dedicated peers, all the way from engineering and QA to product management and customer support. Splunk flourishes with disruption and diversity.</li><li>\r\r\nA constant stream of new things for you to learn and an opportunity for growth and mentorship. We believe in growing engineers through ownership and leadership opportunities. We also believe mentors help both sides of the equation.</li><li>\r\r\nA stable, collaborative and supportive work environment.</li></ul>, <p>\r\r\nWe value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.</p>, <p>\r\r\nFor job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.</p>]
## 34 [<ul><li><div>Design, implement, and support the Deason Center's research agenda. Identify critical areas of opportunity for innovative criminal justice research that align with the Deason Center's focus. Develop research models that make the Center's data analyses useful to criminal justice practitioners and available for further study and review.</div></li>\r\r\n<li>Collaborate with leading criminal justice researchers in government, non-profit agencies, and universities, to develop research partnerships; formulate and implement practicable research inquiries. Assist stakeholders in implementing and documenting data-relevant policy changes.</li>\r\r\n<li>Work with research partners and criminal justice stakeholders to develop new projects for data collection and analysis. Write reports, articles, and policy papers on research results.</li>\r\r\n<li>Draft strategic documents and grant applications for research projects and collaborations. Initiate funding opportunities and work with SMU grants and development department to acquire additional funding.</li>\r\r\n<li>Supervise staff (law, statistics, data science, sociology and related disciplines), working on the Center's research agenda.<br/>\r\r\n</li></ul>, <ul><li>Carry/lift 25 lbs.</li>\r\r\n<li>Sit for long periods of time<br/>\r\r\n</li></ul>]
## 35 [<ul><li>2+ years of experience building practical machine learning models with applications to real-world problems.</li><li>Experience with ML tools to build models and analyze data. (e.g. r, Python, Matlab, scikit-learn)</li><li>Knowledge of distributed computing systems (e.g. Spark, Hadoop, Hive, Cosmos)</li><li>Demonstrated coding skills.</li><li>Natural Language Processing experience is a plus</li><li>PhD in Computer Science or Statistics, or equivalent work experience.</li></ul>]
## 36 [<ul><li>\r\r\nHelp OIT leadership build and manage the core data analytics team, including involvement in hiring, training, mentoring, and fostering talent development.</li><li>\r\r\nHelp triage among competing opportunities for the team’s attention, balancing good operational wins for Duke with service to our research and education communities.</li><li>\r\r\nLeads in the research, evaluation, recommendation, and implementation of a comprehensive set of technologies/tools/processes in support of data analytics with a focus on data consistency, usability, and sustainability. Work with the IT Security Office to recommend improvements to Duke’s data governance and data management practices as may be needed over time.</li><li>\r\r\nInspires students, faculty, and staff to work with modern forms of digital data and new data management technologies, and coordinates across decentralized functions to establish better intra-institutional information about our data resources and uses, improving the flow of the data itself among units.</li><li>\r\r\nWorks with researchers and academic and operational stakeholders to identify the scientific, academic or business requirements and the expected outcome; collaborates to select the relevant sources of information; automates analysis and anomaly detection systems to provide and make efficient the continuous tracking of performance from various research and business data sources.</li><li>\r\r\nWorks with stakeholders to provide support for a variety of data analysis needs such as:<ul><li>\r\r\nIdentifying cases where research techniques and data, in combination with business-support analytics, can bring new value or enable predictive analyses</li><li>\r\r\nUse exploratory data analysis techniques to model and frame research or business scenarios that identify meaningful patterns, trends or relationships\r\r\n</li><li>Leverage the expertise of and work with Duke’s academic data enginee to wrangle/extract/transform/load/cleanse/integrate multiple systems and data sets\r\r\n</li><li>Work with academic faculty to monitor and optimize current forms of data collection and develop and integrate new forms of this collection, and to optimize the transformation of collected data into formats appropriate for analysis</li></ul></li></ul>, <ul><li>\r\r\nIdentifying cases where research techniques and data, in combination with business-support analytics, can bring new value or enable predictive analyses</li><li>\r\r\nUse exploratory data analysis techniques to model and frame research or business scenarios that identify meaningful patterns, trends or relationships\r\r\n</li><li>Leverage the expertise of and work with Duke’s academic data enginee to wrangle/extract/transform/load/cleanse/integrate multiple systems and data sets\r\r\n</li><li>Work with academic faculty to monitor and optimize current forms of data collection and develop and integrate new forms of this collection, and to optimize the transformation of collected data into formats appropriate for analysis</li></ul>, <ul><li>\r\r\nPerform ad hoc and iterative analysis to refine informational discoveries and communicate data analysis and findings effectively</li><li>\r\r\nCoordinates and match makes across a range of existing and emerging academic and co-curricular programs, identifying gap opportunities for students to gain valuable experience in the process of exploring institutional or research data.</li><li>\r\r\nWorks with the CISO, Audit, and ORI offices to ensure that the information used complies with the regulatory and security policies in place; confirms where information can be stored or what information, external to the organization, may be used.</li></ul>, <p><b>Education</b>\r\r\n</p>]
## 37 [<p><b>Education</b>\r\r\n</p>, <p><b>Experience</b>\r\r\n</p>]
## 38 [<p><b>Senior Data Scientist, Supply Chain\r\r\n</b></p>, <p>We are seeking an experienced Senior Data Science professional with a passion to derive value from data and insatiable curiosity to learn and try new things to join the Supply Chain Research & Innovation group in our Strategy Services department. The Supply Chain Research group at Coyote Logistics is responsible for designing, selling, and implementing Coyote’s emerging portfolio of non-transactional supply chain services. As a senior data scientist in the Supply Chain Research Group, you will play a key role in designing and implementing Coyote’s product and service portfolio in the context of its broader competitive strategy. You will do this by conducting statistical analysis, proposing supply chain solutions, developing machine learning methodologies and contributing to a variety of research activities. Primary responsibilities will also include suggesting new innovative research approaches and exploring relevant evolving technologies.<br/>\r\r\n</p>, <p><br/>\r\r\n<b>Daily Tasks & Responsibilities\r\r\n</b></p>, <ul><li>Creating, designing and prototyping out next-generation machine / deep learning technologies in the areas of supply chain operations (tactical and strategic), transportation science\r\r\n</li><li>Designing and developing effective recommendation models, features and algorithms involving user activities and interests, pattern recognition, trends\r\r\n</li><li>Prototype real-time updating models to predict/estimate operational levers that adds value to our business\r\r\n</li><li>Analyzing and designing operational solutions for projects such as vehicle routing, disruption prediction, trip recommendation, etc.\r\r\n</li><li>Establishing Coyote’s position as an industry thought leader through publishing articles and white papers, speaking at relevant industry conferences, and developing strategic value-added relationships with Coyote’s customers and academic institutions\r\r\n</li><li>Building a best-in-class supply chain research & innovation team that differentiates Coyote from market competitors with regard to scope, creativity, innovation, and efficiency\r\r\n</li><li>Leading diverse project teams focused on both internal and external improvement efforts\r\r\n</li><li>Collaborating with Logistics Analysts and Information Technology teams on a project-by-project basis\r\r\n</li><li>Evaluating effectiveness of current or future logistical process for Coyote clients\r\r\n</li></ul>, <p><b>Essential Skills, Characteristics, & Experience\r\r\n</b></p>, <ul><li>5+ years of experience in Machine Learning, AI, Predictive Modeling\r\r\n</li><li>MS/PhD in Computer Science/Mathematics/Supply Chain/Statistics preferred\r\r\n</li><li>Strong quantitative analysis, programming, and statistical modeling skills.\r\r\n</li><li>Understanding of core ML concepts and its application in solving real world problems\r\r\n</li><li>High level of comfort in Python and R\r\r\n</li><li>Experience coding Microsoft SQL, C#, Visual Basic\r\r\n</li><li>Experience working on some modeling tools for optimization, data-simulation, statistics etc.\r\r\n</li><li>Capable problem solver who uses logic to create effective solutions to complex customer problems\r\r\n</li><li>Team focused and accountable of commitments made to the business\r\r\n</li><li>Previous experience in Transportation, Logistics and IT Systems experience preferred\r\r\n</li></ul>, <p><b>Why Coyote?\r\r\n</b></p>, <ul><li>Onsite training & ongoing career development\r\r\n</li><li>Competitive base salary\r\r\n</li><li>Comprehensive benefits package\r\r\n</li><li>Great perks like onsite haircuts, massages, and intramural sports\r\r\n</li><li>Significant advancement opportunities for outstanding performers\r\r\n</li><li>Casual dress and company lunch\r\r\n</li></ul>, <p>Coyote is an at-will employer.\r\r\n</p>, <p>We are an Equal Opportunity Employer.</p>]
## 39 [<p><b>What You’ll Do:</b></p>, <p>You will work with our team of experts in machine learning and software engineering to build powerful and scalable models and surface the most relevant content on Twitter. Come help us make Twitter the best place for finding what the world is saying, live!<br/>\r\r\n<br/>\r\r\n<b>Who You Are:</b><br/>\r\r\nYou have a passion for machine learning and improving the ways people consume the world, live. You are excited to join an incredibly talented, and fun team which loves to take on new challenges. You like a fast-paced & fun environment, believe in Twitter’s mission in the world and want to be a core actor in pushing it forward.<br/>\r\r\n<br/>\r\r\n<b>Requirements:</b></p>, <ul><li>Expertise in Deep Learning and NLP</li><li>\r\r\nExperience with software engineering best practices</li><li>\r\r\nMS or PhD in machine learning or equivalent work experience</li></ul>, <p><b>Desired:</b></p>, <ul><li><p>Experience using big data platforms such as Spark or Hadoop</p></li></ul>, <p>Experience using big data platforms such as Spark or Hadoop</p>]
## 40 [<p><b>Who We Are:</b></p>, <p>\r\r\nMachine learning is advancing products at Twitter (e.g., Timeline ranking, On-boarding) and Cortex is advancing Machine learning at Twitter. Cortex is the central ML/AI team with the goal to build an ML platform and provide deep ML expertise to support our internal customers, while advancing ML inside & outside Twitter.</p>, <p>\r\r\nIn particular, the ML Extended Environment team (MLX) in Cortex is focused on unifying & advancing recommendation systems. From timeline ranking to ads ranking to new user on-boarding, recommendation systems are prevalent at Twitter. We are building shared components to unify & advance recommendation systems, e.g., embeddings and approximate nearest neighbor solutions.</p>, <p>\r\r\nMLX team has a unique mix of ML engineers & scientists who work together to explore & build new prototypes and scale them to augment Twitter’s ML capability. Finding the right balance between innovation and impact is key to making this team successful. This is an exciting and creative area, with a unique opportunity to push the boundaries of machine learning further.</p>, <p>\r\r\nMLX Blog Post: https://blog.twitter.com/engineering/en_us/topics/insights/2018/embeddingsattwitter.html</p>, <p><b>\r\r\nWho You Are:</b></p>, <p>\r\r\nYou have a passion for machine learning and improving the ways people consume the world, live. You are excited to join an incredibly talented, and fun team which loves to take on new challenges. You like a fast-paced & fun environment, believe in Twitter’s mission in the world and want to be a core actor in pushing it forward.</p>, <p><b>\r\r\nWhat You’ll Do:</b></p>, <p>\r\r\nYou will work with our team of experts in machine learning and software engineering to build powerful and scalable models and surface the most relevant content on Twitter. Come help us make Twitter the best place for finding what the world is saying, live!</p>, <p><b>\r\r\nRequirements:</b></p>, <ul><li>\r\r\nExpertise in Deep Learning and NLP</li><li>\r\r\nExperience with software engineering best practices</li><li>\r\r\nMS or PhD in machine learning or equivalent work experience</li></ul>, <p><b>Desired:</b></p>, <ul><li>\r\r\nExperience using big data platforms such as Spark or Hadoop</li></ul>]
## 41 [<ul>\r\r\n<li>Proven experience in computer vision and deep learning.</li>\r\r\n<li>Strong mathematics skills.</li>\r\r\n<li>Familiarity with DL frameworks (caffe, tensorflow, torch, keras)</li>\r\r\n<li>C++ programming skills including debugging, performance analysis,and test design.</li>\r\r\n</ul>, <ul>\r\r\n<li>M.S. or PhD with focus on machine learning.</li>\r\r\n<li>GPU programming experience (CUDA/OpenCL).</li>\r\r\n<li>Familiarity with mathematical optimization in the context of deep learning.</li>\r\r\n<li>Experience with image-space algorithms such as segmentation, optical flow, scene flow, and image decomposition.</li>\r\r\n<li>Publications in robotics and computer vision conferences and journals.</li>\r\r\n<li>Familiarity with recent machine learning tools and algorithms applied to computer vision problems.</li>\r\r\n</ul>]
## 42 [<p>Posting Dates: 10/06/2018 - 11/02/2018\r\r\n</p>, <p>Job Family: Information Technology\r\r\n</p>, <p>Department: Family History Department\r\r\n</p>, <p><b>PURPOSES</b></p>, <p><b>\r\r\nRESPONSIBILITIES</b></p>, <p>\r\r\nThe FamilySearch Machine Learning Annotation Specialist is expected to develop meticulous training data for machine learning algorithms and neural networks including: transcribing text from images of historical genealogical records with a high degree of accuracy, identifying types of terms from historical genealogical records and relationships between terms, precisely annotating boundaries of lines of text, annotating other document attributes, and reviewing documents for errors and providing corrections in a timely manner. They are expected to meet deadlines and accomplish work assignments at a rapid pace with consistently high output, quality, and accuracy such as transcription of historical documents at or greater than 1,500 words per day at 98% accuracy.</p>, <p>\r\r\nOther responsibilities include assisting staff in training and managing volunteers and remotely located personnel, assisting in the development of instructional materials, attending appropriate team meetings, trainings, supporting management in identifying, estimating, and organizing work efforts, and handling other requests as directed.</p>, <p><b>\r\r\nQUALIFICATIONS</b></p>, <p>\r\r\nBachelor’s degree in computer science, linguistics, genealogy, history, or a related field.</p>, <ul>\r\r\n<li>Advanced or expert ability to read, understand, and accurately transcribe historical documents in multiple languages using paleography skills</li>\r\r\n<li>Written and verbal skills in the more than one language</li>\r\r\n<li>Self-motivated, dependable, detail oriented, responsible, and self-disciplined</li>\r\r\n<li>Technical computer science engineering skills or a tendency toward learning technical skills</li>\r\r\n<li>Ability to mentor and train others</li>\r\r\n<li>High degree of organizational skills</li>\r\r\n<li>High proficiency in Microsoft Office tools, particularly Word, PowerPoint, and Excel</li>\r\r\n<li>Experience with languages such as French, Spanish, Portuguese, and Italian\r\r\n</li><li>Experience with historical genealogical records preferred</li>\r\r\n<li>Experience with genealogy and family history work including familysearch.org preferred</li>\r\r\n<li>Familiarity with handwriting recognition, optical character recognition, layout analysis, machine learning, and neural networks helpful</li>\r\r\n<li>There may be a brief language skills assessment to assess suitability for the position</li></ul>, <p><b>\r\r\nWORTHINESS QUALIFICATION</b></p>, <p>\r\r\nMust be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy.</p>, <p><b>\r\r\nPOSTING NOTICE/MORE INFO.</b></p>, <p>\r\r\nPlease Note: All positions are subject to close without notice.</p>]
## 43
## 44 [<ul><li>Track record of coming up with new ideas in machine learning, as demonstrated by one or more first author publications or projects</li><li>Past experience in creating high-performance implementations of deep learning algorithms (optional)\r\r\n</li></ul>, <ul><li>Robotics: while working towards breakthroughs in robotic manipulation, develop novel techniques for reinforcement learning and imitation learning.\r\r\n</li><li>Basic research: develop new and improved methods for generative models and unsupervised learning, reinforcement learning, evolutionary algorithms, and metalearning.</li><li>Safety: enable humans to guide AI agents towards achieving difficult-to-specify goals; work on bringing humans into the training process of advanced agents; investigate the failure modes existing machine learning techniques and develop defenses against them.</li></ul>]
## 45 [<ul><li>You will implement and validate predictive models, and create and maintain statistical models with a focus on big data.</li><li>You’ll communicate with internal and external clients to understand business needs and provide analytical solutions.</li><li>You will use statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights.</li><li>You’ll work in an Agile, collaborative environment, partnering with other scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.</li></ul>, <ul><li>You are great at solving problems, debugging, troubleshooting, and designing & implementing solutions to complex technical issues.</li><li>You thrive on teamwork and have excellent verbal and written communication skills.</li><li>You have strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Java or Python.</li><li>You have a basic understanding of statistical programming in a language such as R, SAS, or Python.</li><li>You have an interest in, understanding of, or experience with Design Thinking Methodology</li><li>You have an interest in, understanding of, or experience with Agile development methodology</li></ul>]
## 46 [<ul><li>Contribute to the development of the data model for the Business Intelligence tool in collaboration with the key users, the subsidiaries and the IT partner.</li><li>\r\r\nSupport the data team in understanding and analysing the data base and process data coming from different data sources.</li><li>\r\r\nWork on consistency of the data coming from various sources.</li>\r\r\n</ul>, <ul><li>Support the data team in extracting, combining and verifying the data needed for the Business Intelligence tool.</li><li>\r\r\nSupport the data, IT and business teams in specifying and documenting all processes needed for the above two tasks.</li>\r\r\n</ul>, <ul><li>You are in the 3rd or 4th year of your studies with focus on IT and Business Analyst</li><li>\r\r\nYou have a good team spirit, perseverance and appreciate collaboration with different countries and cultures.</li><li>\r\r\nYou have strong analytical and data manipulation skills.</li>\r\r\n</ul>, <ul><li>You are interested in business intelligence applied to logistics.</li><li>\r\r\nWorking language is English. Written and spoken English on a professional level is key; French and/or German conversation level is needed as well.\r\r\n</li><li>Skills: advanced excel – ETL (Pentaho) programming</li>\r\r\n</ul>, <p>Our mission is to excel in every interaction with our customers. Our values are trust, friendliness, ease of use and our commitment to sustainability.</p>, <ul><li>\r\r\nWorkplace in Paris or Bern</li><li>\r\r\nWe offer modern and fair employment conditions</li></ul>, <p>For further information, please contact:\r\r\n</p>, <p><b>Nathalie Bonnet Potteau</b>\r\r\n</p>, <p><b>Routing and Network Manager</b>\r\r\n</p>, <p><b>nathalie.bonnet@asendia.com</b>\r\r\n</p>, <p><b>Phone + 33 (0) 6 59 72 06 78</b></p>]
## 47 [<ul><li>Perform ad hoc data mining and statistical analyses on complex business problems.</li><li>\r\r\nSupport the implementation, assessment, and standardization of toolkits for our data science, measurement science, insight management, and visualization teams.</li><li>\r\r\nResearch and work with technical teams to implement new and emerging technologies that will facilitate better data integrity, reliability, and enrichment for quantitative solutions.</li><li>\r\r\nProvide guidance to the data science and measurement science teams on approach and methodologies as a subject matter expert.</li><li>\r\r\nAlso responsible for other Duties/Projects as assigned by business management as needed.</li></ul>, <ul><li>Experience of working with third party datasets.</li><li>\r\r\nExperience of working with common relational and/or non-relational databases and common web data and social data sources.</li><li>\r\r\nExperience of developing statistics-based analytics reports.</li></ul>]
## 48 [<p><b>Position Description</b></p>, <ul><li>\r\r\nDemonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans</li><li>\r\r\nDevelops analytical models to drive analytics insights</li><li>\r\r\nLeads small and participates in large data analytics project teams</li><li>\r\r\nModels compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity</li><li>\r\r\nParticipates in the continuous improvement of data science and analytics</li><li>\r\r\nPresents data insights and recommendations to key stakeholders</li><li>\r\r\nProvides and supports the implementation of business solutions</li></ul>, <p><b>\r\r\nMinimum Qualifications</b></p>, <ul><li>\r\r\nBachelor of Science and 2 years' data science experience OR Master of Science and 1 year's data science experience.</li></ul>, <p><b>\r\r\nAdditional Preferred Qualifications</b></p>, <ul><li>\r\r\n4 years' experience with SQL and relational databases (for example, DB2, Oracle, SQL Server).</li><li>\r\r\n4 years' experience with statistical programming languages (for example, SAS, R).</li><li>\r\r\nBachelor's degree in Statistics, Economics, Analytics, Mathematics and 7 years' experience in an analytics related field.</li><li>\r\r\nCertificate in business analytics, data mining, or statistical analysis.</li><li>\r\r\nDoctoral degree in Statistics, Economics, Analytics, or Mathematics and 1 year's experience in an analytics related field.</li><li>\r\r\nMaster's degree in Statistics, Economics, Analytics, or Mathematics and 3 years' experience in an analytics related field.</li></ul>, <p><b>\r\r\nCompany Summary</b></p>]
## 49 [<ul><li>Master's degree in Applied Math, Statistics, Engineering or related field is required</li><li>Proficiency in technical writing and presentations</li><li>2 or more years of relevant experience is required</li><li>This position is working within a government facility and requires U.S. Citizenship</li></ul>, <p>\r\r\nUES, Inc. is an innovative science and technology company providing customers with superior research and development expertise since its inception in 1973. Our long-term success is a direct result of a strong commitment to the success of our employees. We look forward to reviewing your application.<br/>\r\r\n<br/>\r\r\nUES is firmly committed to Equal Employment Opportunity (EEO) and prohibits employment discrimination for employees and applicants based on age, race, color, pregnancy, gender, gender identity, sexual orientation, national origin, religion, marital status, citizenship, or because he or she is an individual with a disability, protected veteran or other status protected by federal, state and local laws.</p>]
## 50 [<p><b>Requisition ID:</b> 25176</p>, <p>\r\r\nOur reliability is one of the best in the nation, and we’re working to make it even better. We live here too. That’s why we’re committed to making Florida a better place. Join our team today Learn more</p>, <p><b>\r\r\nPosition Specific Description</b></p>, <p>\r\r\nSmile you've found us! At NextEra Energy, our people are our greatest asset and our IT team is looking for a Data Scientist with strong experience in Math, Applied Physics or Computer Science. Heavy Linear Algebra and Statistics experience, as well as hands on experience with NLP/Cognitive based algorithms is strongly preferred. Employees in this role use knowledge of machine learning, NLP/Cognitive models with smaller data sets, Linear Algebra, optimization, statistics, and applied mathematics.</p>, <p><b>Job Overview</b>\r\r\n</p>, <p>This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (e.g. “Big Data”).</p>, <p><b>Job Duties & Responsibilities</b>\r\r\n</p>, <ul><li>Develops machine learning, optimization and other modeling solutions</li><li>\r\r\nPrepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses</li><li>\r\r\nManipulates and analyzes data sets</li><li>\r\r\nPerforms other job-related duties as assigned</li></ul>, <p><b>Required Qualifications</b>\r\r\n</p>, <ul><li>Bachelor’s Degree</li><li>\r\r\nExperience: 3+ years</li></ul>, <p><b>Preferred Qualifications</b>\r\r\n</p>, <ul><li>Master’s Degree</li><li>\r\r\nDoctoral Degree</li></ul>, <p><b>Employee Group:</b> Exempt<br/>\r\r\n<b>Employee Type:</b> Full Time<br/>\r\r\n<b>Job Category:</b> Science, Research, and Technology<br/>\r\r\n<b>Organization:</b> Florida Power & Light Company<br/>\r\r\n<b>Location:</b> Juno Beach, Florida<br/>\r\r\n<b>Other Work Locations: </b>Florida<br/>\r\r\n<b>Relocation Provided:</b> Yes, if applicable</p>, <p>\r\r\nNextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law. We are committed to a diverse and inclusive workplace.</p>, <p>\r\r\nIf you require special support or accommodation while seeking employment with NextEra Energy, please send an e-mail to AskHR@NEE.com, providing your name, telephone number and the best time for us to reach you. Alternatively, you may call 1-844-694-4748 (Option 1, Press 6) between 8 a.m. and 5 p.m. EST Monday-Friday. Please do not use this line to inquire about your application status.</p>, <p>\r\r\nNextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.</p>]
## 51 [<p>In this exciting area of research, you will be applying machine learning techniques to problems in the life sciences with an emphasis on using computational approaches for detecting patterns in a variety of contexts including cancer, brain injury, infectious disease and microbial community datasets. Problems typically involve the construction of computational models for phenotype prediction from data that includes genomic data and other omics data. This role will develop and apply computational models on new experimental data, provide measures of uncertainty, and participate in interdisciplinary discussions aimed at the design of new experiments. You will report on results of research including publishing scholarly papers in scientific journals, give presentations at symposia, conferences, meetings, and seminars. You will also participate in the preparation of reports and proposals required by funding agencies to obtain and continue funding support.</p>, <p>\r\r\nWe are seeking outstanding people to join us in the Data Science and Learning Division and the Bioscience Division at all career levels. As a multidisciplinary national laboratory, Argonne offers an exciting campus atmosphere in which to collaborate on interdisciplinary projects developing solutions to complex scientific and engineering problems on the world’s largest parallel supercomputers.</p>, <p>Position Requirements<br/>\r\r\n<br/>\r\r\n<br/>\r\r\n</p>, <ul><li>Minimum bachelor’s degree in Bioinformatics, CS, or Biology</li><li>\r\r\nFluency in scientific programming languages</li><li>\r\r\nExperience with bioinformatics analysis techniques and tools</li><li>\r\r\nFamiliarity working in a Unix environment</li><li>\r\r\nExperience on high performance computing platforms and newer GPU systems</li><li>\r\r\nExperience processing NGS sequence data, familiarity with bacterial genomics, or demonstrated work in microbiology</li><li>\r\r\nKnowledge of artificial intelligence across machine learning, deep learning and statistics</li><li>\r\r\nStrong analytical and problem-solving skills</li><li>\r\r\nUnderstanding of computational algorithms to support DNA sequence alignment, small nucleotide polymorphism detection, gene expression quantification and/or small molecule (drug) structure</li><li>\r\r\nExperience working on protected health information including electronic health records</li><li>\r\r\nFamiliarity with regulatory policies and procedures surrounding electronic protected health information required</li><li>\r\r\nAbility to write research publications</li><li>\r\r\nConsiderable collaborative skills, including the ability to interact well with external and internal collaborators</li><li>\r\r\nUnited States citizenship is a requirement on some projects</li><li>\r\r\nAbility to think independently and innovatively to develop exceptional technical solutions required</li></ul>, <p>As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.</p>]
## 52 [<p><b>Position Description</b></p>, <ul><li>\r\r\nDemonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans</li><li>\r\r\nDevelops analytical models to drive analytics insights</li><li>\r\r\nLeads small and participates in large data analytics project teams</li><li>\r\r\nModels compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity</li><li>\r\r\nParticipates in the continuous improvement of data science and analytics</li><li>\r\r\nPresents data insights and recommendations to key stakeholders</li><li>\r\r\nProvides and supports the implementation of business solutions</li></ul>, <p><b>\r\r\nMinimum Qualifications</b></p>, <ul><li>\r\r\nBachelor of Science and 2 years' data science experience OR Master of Science and 1 year's data science experience.</li></ul>, <p><b>\r\r\nAdditional Preferred Qualifications</b></p>, <ul><li>\r\r\n4 years' experience with SQL and relational databases (for example, DB2, Oracle, SQL Server).</li><li>\r\r\n4 years' experience with statistical programming languages (for example, SAS, R).</li><li>\r\r\nBachelor's degree in Statistics, Economics, Analytics, Mathematics and 7 years' experience in an analytics related field.</li><li>\r\r\nCertificate in business analytics, data mining, or statistical analysis.</li><li>\r\r\nDoctoral degree in Statistics, Economics, Analytics, or Mathematics and 1 year's experience in an analytics related field.</li><li>\r\r\nMaster's degree in Statistics, Economics, Analytics, or Mathematics and 3 years' experience in an analytics related field.</li></ul>, <p><b>\r\r\nCompany Summary</b></p>]
## 53
## 54 [<p>Online Advertising is one of the fastest growing businesses on the Internet today, in 2017 over $90 billion were spent in US digital ad spend and it is expected to grow over $100 billion by end of 2018. The rapid growth of online advertising has generated enormous opportunities as well as technical challenges that demand computational intelligence. Bing is a multi-billion-dollar business for Microsoft, run by diverse set of individuals, with a growth mindset to provide an optimal platform to its Users and Advertisers.</p>, <p>\r\r\nAs part of a software company with powerful innovations and part media company with global properties, at Microsoft Ads we bring both our technical and creative side to the table. Through incisive analytics, we know who cares – both when and where. We understand how to get in front of the right people at the strongest point of influence. Above all, we love data and excel at interpreting it for our partners.</p>, <p>\r\r\nThe Marketplace and serving team, is an extraordinary R&D team of passionate and talented scientists, engineers and program managers who seek to tackle challenging problems and turn creative ideas into high-quality products and services that can help millions of users and advertisers, and directly impact our business. Goal of the team is to maintain a fair balance between revenue and relevance trade-offs to efficiently handle the return on investment for various marketplace partners.\r\r\n</p>, <p>The Marketplace team is responsible of leading an ads marketplace, some of which include Experimentation Management, Publisher Management, Deep analytical insights to advance new feature development. We are looking for high-energy, creative data geek who is willing to work in a dynamic environment. In this role, you would love to solve ambiguous problems through analyzing big data. You are expected to learn & understand the search ads ecosystem, its various interactions and key performance drivers.\r\r\n</p>, <p><b>Responsibilities Include:</b></p>, <ul><li>\r\r\nProvide creative solutions to marketplace problems using data driven approach, both in short and long term</li><li>\r\r\nDeliver robust and scalable solutions to improve Users' and advertisers' experience on Bing</li><li>\r\r\nWork closely with various feature teams, evaluating the feature impact on Bing marketplace</li><li>\r\r\nBe a ‘Go-To’ person for any data analytical needs ranging from data extraction/manipulations, long term trend analysis, statistical analysis and Machine learning models</li><li>\r\r\nUse hypothesis driven approach to answer analytical questions, provide recommendations to the leadership teams</li></ul>, <p>\r\r\nShare standard methodologies and documentation across teams</p>, <p>\r\r\nBasic Qualifications:</p>, <ul><li> Bachelor’s degree or above in a Computer science, STEM, related engineering or Business-related field with strong emphasis on data analytics</li><li> 2+ years of experience in Data mining and qualitative analytics</li><li> Curious mind and willing to tackle complex business problems</li><li> Understanding of Machine learning & statistical analytical tools</li></ul>, <p>\r\r\nPreferred skills:</p>, <ul><li> Be Skillful at C/C++/C#, SQL programming, python, R</li><li> Have a strong interest in online advertising products business models and system architectures</li><li> Experience in online Ad space is a plus</li></ul>]
## 55 [<p>Dell provides the technology that transforms the way we all work and live. But we are more than a technology company — we are a people company. We inspire, challenge and respect every one of our over 100,000 employees. We also provide them with unparalleled growth and development opportunities. We can’t wait for you to discover this for yourself as a <b>Data Scientist </b>on our team in <b>Round Rock, TX.</b></p>, <p>\r\r\nGCCO is seeking a Data Scientist who will be able to envision and create data science models in support of business operations. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches.</p>, <p><b>\r\r\nKey Responsibilities</b></p>, <ul><li>\r\r\nResearch and develop statistical learning models for data analysis</li><li>\r\r\nCollaborate with product management and engineering departments to understand company needs and devise possible solutions</li><li>\r\r\nKeep up-to-date with latest technology trends</li><li>\r\r\nCommunicate results and ideas to key decision makers</li><li>\r\r\nImplement new statistical or other mathematical methodologies as needed for specific models or analysis</li><li>\r\r\nOptimize joint development efforts through appropriate database use and project design</li></ul>, <p><b>Essential Requirements</b></p>, <ul><li>\r\r\nBachelor’s Degree in Computer Science, Statistics, Applied Math or related field</li><li>\r\r\n3+ years’ practical experience with SAS, ETL, data processing, database programming and data analytics</li><li>\r\r\nExtensive background in data mining and statistical analysis</li><li>\r\r\nAble to understand various data structures and common methods in data transformation</li><li>\r\r\nExcellent pattern recognition and predictive modeling skills</li><li>\r\r\nExperience with analytical/programming languages such as Python, R SSAS, SQL, M or DAX</li></ul>, <p><b>Benefits\r\r\n</b></p>, <p>We offer highly competitive salaries, bonus programs, world-class benefits, and unparalleled growth and development opportunities — all to create a compelling and rewarding work environment.</p>, <p><b>\r\r\nApply now! </b>Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Learn more about Diversity and Inclusion at Dell here.</p>]
## 56
## 57 [<ul><li>Conduct advanced analysis of in-store labor, including staffing levels, business results, productivity, labor utilization/capacity, field compliance metrics, and other relevant topics. Seek out correlations between these variables to better understand the influence of labor on other aspects of the business.</li><li>Deploy algorithms or other predictive models to forecast future period sales, labor spend, hourly wages, store-fulfilled eCommerce, and other financial and non-financial metrics.</li><li>Provide reporting on critical labor metrics and indicators to both field and executive audiences. Validate and test new or enhanced labor metrics to maximize understanding of labor dynamics.</li><li>Contribute to the design and testing of new or enhanced staffing methodologies; evaluate the costs/benefits, present findings, and support the scaling of these initiatives to the balance of the chain.</li></ul>, <ul><li>Bachelor’s Degree in Statistics, Computer Science, Engineering, Mathematics, Economics, or other quantitative field</li><li>Additional experience will be considered in lieu of an advanced degree.</li></ul>, <ul><li>3 - 5 Years</li><li>Retail experience a plus but not required</li><li>Financial forecasting/analysis a plus</li></ul>, <ul><li>Proficiency in Microsoft Office Suite</li><li>Python and/or R</li><li>SQL</li><li>Experience with machine learning applications a plus</li><li>Experience with Alteryx or similar ETL tools a plus</li></ul>, <ul><li>Excellent written & verbal communication skills</li><li>Business acumen</li><li>Customer-service oriented</li><li>Strong Interpersonal and client consultation skills</li><li>Self-motivated and results oriented</li><li>Strong presentation skills</li><li>Problem solving & troubleshooting capabilities</li><li>Ability to work effectively in a team environment</li><li>In depth analytical skills</li><li>Strong detail orientation</li><li>Superior organizational abilities</li><li>Process & Procedure Oriented</li></ul>]
## 58 [<p>reqid: 23104</p>, <p><b><i>\r\r\nWHEN YOU CARE ENOUGH YOU CAN CHANGE THE WORLD.</i></b></p>, <p>Do you want to work for a one of the world's most trusted and recognized brands? Hallmark is a company rooted in connecting people. We care for our employees, our communities, and our world. A career at Hallmark means you get to make a big impact and create something that can make a genuine difference. We’re looking for people who want to continue to carry our vision forward.</p>, <p><b><i>Do these phrases describe you? If so, this may be the opportunity you’ve been waiting for!</i></b></p>, <ul><li><b>Champion an environment that drives insights to action.</b></li>\r\r\n<li><b>Define strategy, synthesize data, ask questions, propose tests, and monitor results.</b></li>\r\r\n<li><b>Identify untapped areas of analysis and prioritize existing reporting and areas of focus in light of overall business objectives.</b></li>\r\r\n</ul>, <p>The Retail Marketing Analytics team develops and drives the advancement of the marketing data and analytics strategy for Hallmark Retail. We are directly responsible for the ideation and/or analytical support to business stakeholders with the goal to increase consumer engagement and maximize retail sales and financial returns.</p>, <p>The <b>Associate Data Scientist</b> generates hypotheses, extracts data and creates models to enable business decisions. They often work independently on business requests and are typically on a Data Science career path. This candidate leverages a vast array of statistical techniques and programming to develop reports, uncover trend, diagnose problems and develop solutions to drive the business forward.</p>, <p>The <b>Associate Data Scientist </b>will be responsible for:</p>, <ul><li>Uses best practices to develop statistical, machine learning techniques to build models that address business needs by developing reports, uncover trends, and diagnose problems.</li>\r\r\n<li>Manipulates and cleans data for statistical analysis, validates finding and analysis, and leads analytical discussions with small teams.</li>\r\r\n<li>Uses and learns a wide variety of tools and languages to achieve results (e.g., R, SAS, Python, Hadoop) to effectively complete various data science projects.</li>\r\r\n<li>Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling</li>\r\r\n<li>Communicates findings to data science team and small cross-functional teams to ensure models are well understood and incorporated into business processes</li>\r\r\n<li>Works with various business customers and leaders to ensure the projects will meet their business needs</li>\r\r\n<li>Takes leadership in Hallmark Analytics community by educating and training other analytics and non-analytics staff on various analytics and data science techniques.</li>\r\r\n</ul>, <p><b><i>This role is a progressive position and will be filled based on the skills and experience of the selected candidate.\r\r\n</i></b></p>, <p><i>Interested? Follow the application instructions below to apply.</i></p>, <p><b>APPLICATION INSTRUCTIONS:</b></p>, <p>You must show how you meet the basic qualifications (listed below) in a resume or document you upload, or by completing the work experience and education application fields. Accepted file types are Microsoft Word (DOC or DOCX), PDF, HTML, or TXT.</p>, <p>In compliance with the Immigration Reform and Control Act of 1986, Hallmark Cards, Inc. and its subsidiary companies will hire only individuals lawfully authorized to work in the United States. Hallmark does not generally provide sponsorship for employment. Employment by Hallmark is contingent upon the signing of the Employment Agreement, signing of an agreement to arbitrate in connection with the Hallmark Dispute Resolution Program, completing Form I-9 Employment Eligibility Verification, passing the urinalysis drug screen, education verification and satisfactory reference and background checks.</p>, <p><b>BASIC QUALIFICATIONS</b></p>, <ul><li>Bachelors or Master’s degree in Statistics, Physics, Math, Engineering, Economics, Finance, Data Science, Computer Science, Operations Research OR a quantitative field</li>\r\r\n<li>1+ year of entry-level experience or academic training in data science, advanced analytics, and/or statistical modeling (regression, ANOVA, validation techniques, etc.)</li>\r\r\n<li>1+ year of entry-level experience or academic training in statistical programming languages (SAS, R, Python, Octave, SPSS, MATLAB, etc.) and SQL</li>\r\r\n</ul>, <p><b>PREFERRED QUALIFICATIONS</b></p>, <ul><li>Experience with advanced statistical modeling, including predictive analysis, forecasting, regression, experimentation (multivariate is a plus), data mining, sequential/time-series, supervised and unsupervised models, etc.</li>\r\r\n<li>Experience with various databases and Big Data platforms (SQL, Hadoop, and Spark) and data visualization tools including Tableau, Dash, RShiny, D3.js, Microstrategy, etc.</li>\r\r\n<li>Experience in computer programming, APIs, macro/function design and automation (Java, Perl, C++, Chron Jobs, Ruby, etc.)</li>\r\r\n<li>Able to provide a GitHub or coding portfolio of prior data science, computer programming and statistical work and projects</li>\r\r\n<li>Strong desire to explore various data sources to uncover hidden trends and opportunities for the organization</li>\r\r\n<li>Self-directed, detail & team oriented with highly developed problem solving and analytical skills</li>\r\r\n<li>Excellent communication skills, both written and verbal, coupled with strong organizational, planning and interpersonal skills</li>\r\r\n</ul>, <p>Hallmark believes in enriching the lives of our employees by offering benefit programs to help you:</p>, <ul><li><b>Take care of you and yours:</b> We offer comprehensive medical, dental and vision benefits, as well as discounts on elder care, child care, education assistance and adoption assistance.</li>\r\r\n<li><b>Save for your future:</b> Through profit sharing, you share in the success of Hallmark. We also offer a 4% match on 401(k) contributions.</li>\r\r\n<li><b>Enjoy your time:</b> Maximize your work-life balance through Paid Time Off (PTO), paid holidays, community volunteer opportunities and discounts on product, entertainment venues, amusement parks and sporting events.</li>\r\r\n<li><b>And More!</b> (Like an on-site cafeteria, free parking, access to Crown Center and a fitness center.)</li><br/>\r\r\n</ul>, <p>Hallmark is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, pregnancy, national origin, physical or mental disability, genetics, sexual orientation, gender identity, veteran status, or any other legally-protected status. Principals only please.</p>]
## 59 [<p>L.L.Bean is looking for an experienced Data Scientist to join our growing Customer Insights and Planning Department in Freeport, Maine. This individual will work on the Consumer Insights and Targeting team, reporting to a Senior Data Scientist. The Data Scientist will be responsible for developing predictive models, defining audiences in support of marketing efforts, identifying and visualizing insights through thoughtful data analysis and providing operational support to critical marketing processes. The ideal candidate is an independent and inquisitive individual who is excited to discover insight through data in order to drive the business forward.</p>, <ul><li>Build and deploy predictive models to enable smart decision making</li><li>\r\r\nManage the production scoring process with support from IT\r\r\n</li><li>Provide technical and analytical support to marketing programs and consumer research</li><li>\r\r\nServe as department expert on data access and manipulation of large and complex structured and unstructured data</li><li>\r\r\nSupport projects that advance L.L.Bean’s data infrastructure and environment both on-premise and cloud</li><li>\r\r\nInvestigate and onboard new data sources to provide valuable customer insights</li><li>\r\r\nHelp build advanced analytical capabilities through an awareness of industry best practices</li><li>\r\r\nVisualize and communicate analytical findings to a broad audience</li></ul>, <ul><li>Proven ability to perform complex queries and analyses using SAS and SQL (experience in BigQuery Python and R is a plus)</li><li>\r\r\nStatistical modeling experience</li><li>\r\r\n3+ years experience in a marketing role or decision support role</li><li>\r\r\nHigh degree of problem solving and reasoning abilities\r\r\n</li><li>Exceptional organizational and communication skills\r\r\n</li><li>Understanding of efficient database/data design principles</li></ul>, <ul><li>\r\r\nAn excellent total compensation package</li><li>\r\r\nEnhanced 401(k) retirement package</li><li>\r\r\nHealth care, including domestic partner and family coverage, across medical, dental, and vision</li><li>\r\r\nFlexible spending accounts for health and dependent care</li><li>\r\r\nLife insurance, including domestic partner and dependent coverage</li><li>\r\r\nOutdoor experience days in addition to Paid Time Off (vacation, holiday and personal time)</li><li>\r\r\nDiscounts on L.L.Bean merchandise and Outdoor Discovery School adventures</li><li>\r\r\nEmployee Store</li><li>\r\r\nEquipment loan program from the Employee Use Room</li><li>\r\r\nTuition reimbursement</li><li>\r\r\nAccess to L.L.Bean cabins and tent sites at Rangeley Lake for personal use</li></ul>]
## 60
## 61 [<ul><li>\r\r\nDesign, manage, and deliver content optimization to ultimately help to improve response and drive sales.</li><li>\r\r\nDeliver deep dives with the objective of improving our understanding of the consumer and the content we produce</li><li>\r\r\nOn occasion, present to clients and attend client meetings, sometimes at client locations</li><li>\r\r\nSupport Lead Data Scientist in delivering a wider range of data science projects predominantly using python & cloud-based services</li><li>\r\r\nFocus on making these new data science solutions work for the client and sustaining a culture curiosity and learning within the team</li></ul>, <ul><li>\r\r\nBachelor’s or graduate degree in Computer Science, Applied Statistics or an equivalent quantitative field</li><li>\r\r\nDemonstrated knowledge of multivariate statistical and modelling techniques</li><li>\r\r\nStrong background with R, Python, and SQL. Experience using SAS including SAS Enterprise Guide to manipulate data</li><li>\r\r\nExperience with machine learning techniques including regression, classification, random forest, and clustering</li></ul>, <ul><li><b>\r\r\nSMART</b> – Well rounded, with emotional intelligence and clear SME areas\r\r\n</li><li><b>ENGAGED</b> – Small business owner mentality\r\r\n</li><li><b>CURIOUS</b> – Always learning and questioning what he/she can do more</li><li><b>\r\r\nFUN</b> – Good attitude under stress and pressure, pleasant to work with\r\r\n</li><li><b>TEAM PLAYER </b>– Recognizes others, helps when possible, looks to contribute to a broader goal</li></ul>]
## 62 [<p><b>Location:\r\r\n</b></p>, <p>Become one of the stars behind the show and become part of the world’s most powerful entertainment brands. Our Company has one exciting mission: <b><i>To entertain the human race </i></b>.\r\r\n</p>, <p>The Data Scientist will work with internal Enterprise Analytics departments and other MGM Resorts departments to lead and execute data projects and processes using advanced analytics and quantitative methods to drive business performance. The position will be an internal expert on exploring data sources and creating analytical products that help embed predictive and prescriptive analytics into the business. By combining advanced analytics capabilities with programming skills, the Data Scientist will help drive innovative analytical solutions across MGM Resorts while also working to build departmental standards and best practices.\r\r\n</p>, <p>All duties are to be performed in accordance with departmental and MGM Resorts policies, practices and procedures.\r\r\n</p>, <ul><li>Designs experiments, tests hypothesis, performs data mining and builds models to solve highly complex business problems; applies advanced statistical and predictive modeling techniques to build, maintain, and improve on decision support systems\r\r\n</li><li>Manages the departmental modeling guidelines and formulates the creation of modeling best practices/standards; develops test and version control creation and documentation\r\r\n</li><li>Designs and executes processes including data collection, pre-processing and analysis; develops processes and tools to monitor and analyze model performance and data accuracy\r\r\n</li><li>Utilizes predictive modeling to increase and optimize customer experiences, revenue generation, targeting, and other business outcomes; develops company A/B testing framework and test model quality; creates various machine learning-based models or processes within the company such as recommendation engines or automated customer scoring systems\r\r\n</li><li>Identifies existing models needing to be recalibrated or retrained\r\r\n</li><li>Actively participates in internal peer review process to validate assumptions and technical approach\r\r\n</li><li>Identifies structured/unstructured and streaming data to solve a business problem while determining appropriate relevancy; automates anomaly detection systems and constant tracking of performance\r\r\n</li><li>Collaborates with stakeholders to validate and improve results and/or fail fast to higher value opportunities\r\r\n</li><li>Creates audience appropriate documentation of findings and approach to fully catalog work product; communicate and review findings with business partners/stakeholders and non-technical audiences\r\r\n</li><li>Develops and own analytical capabilities across the aligned functional area(s) and properties\r\r\n</li><li>Partners with Business Intelligence and Enterprise Data Management teams to operationalize and build appropriate change control and monitoring processes for analytical product and/or application programming interfaces\r\r\n</li><li>Collaborates with HR and facilitates learning and skills development opportunities across the EA team\r\r\n</li><li>Networks externally to seek innovation and stay current with the latest technology trends\r\r\n</li><li>Other job related duties as assigned.\r\r\n</li></ul>, <p><b>Required:\r\r\n</b></p>, <ul><li>Bachelor’s degree in mathematics, statistics, computer science, economics, engineering, operations research or other related technical field.\r\r\n</li><li>At least 5 years of experience in similar advanced analytics role in a professional environment.\r\r\n</li><li>Demonstrated experience in statistical analysis, quantitative analytics, forecasting, predictive analytics, multivariate testing, and/or optimization algorithms.\r\r\n</li><li>Excellent customer service skills.\r\r\n</li><li>Have interpersonal skills to deal effectively with all business contacts.\r\r\n</li><li>Professional appearance and demeanor.\r\r\n</li><li>Work varied shifts, including weekends and holidays.\r\r\n</li><li>Able to effectively communicate in English, in both written and oral forms.\r\r\n</li></ul>, <p><b>Preferred:\r\r\n</b></p>, <ul><li><p><b>Advanced degree in mathematics, statistics, computer science, economics, engineering, operations research or other related technical field.\r\r\n</b></p></li><li><p><b>Previous experience working in a similar integrated resort setting.</b></p></li></ul>, <p><b>Advanced degree in mathematics, statistics, computer science, economics, engineering, operations research or other related technical field.\r\r\n</b></p>, <p><b>Previous experience working in a similar integrated resort setting.</b></p>]
## 63 [<ul><li>\r\r\nCollect and analyze various telemetry and behavioral data</li><li>\r\r\nProduce daily metrics and reports</li><li>\r\r\nClean and prepare data for Machine Learning and AI</li><li>\r\r\nAssist with designing and running A/B tests</li><li>\r\r\nAutomate frequently used reporting and data analysis workflows</li><li>\r\r\nWork closely with software engineers and architects to extract, transform and standardize data for optimal use for analytic tools</li></ul>, <ul><li>Bachelors in Computer Science, Mathematics, Statistics; Masters strongly preferred</li><li>\r\r\n2+ years' experience in a data science or data analysis role</li><li><b>\r\r\n2+ years of Java coding exprience</b></li><li>\r\r\n2+ years mining and analyzing data sets to extract meaningful trends, producing meaningful and actionable reports</li><li>\r\r\nExperience using statistical programming languages, machine learning and other toolkits and techniques for analyzing large, complex datasets</li><li>\r\r\nTechnical proficiency with transforming structured and unstructured data sets</li><li>\r\r\nStrong analytical skills, attention to detail and accuracy</li><li>\r\r\nExpert problem solving skills and creative thinking ability</li></ul>]
## 64 [<p>\r\r\nGrubhub is looking for an innately curious, business-minded, results-oriented Data Scientist with a focus on predictive modelling. In this highly visible role, you will build and deploy models predicting various aspect of the business’ logistics. You will also perform analysis to inform on the business.</p>, <p>\r\r\nSpecific responsibilities include, but are not limited to, data analysis, problem solving, development of predictive models, deployment and maintenance of those models.</p>, <ul><li>Understand the business! Work directly with stakeholders to address their needs.</li><li>\r\r\nBuild models, from selecting features to optimizing.</li><li>\r\r\nBe a stakeholder for our models! Help guide and prioritize development of predictive models to enhance our capabilities.\r\r\n</li><li>Question our assumptions! Find new and better ways to do what we’re doing.</li><li>\r\r\nProduce novel analysis giving insights into the business</li><li>\r\r\nRelentlessly analyze and improve the performance of our business.</li></ul>, <ul><li>2-5 years of experience applying descriptive statistics, machine learning, building predictive models and visualization to solve real-world problems</li><li>\r\r\nMSc or PhD in in statistics, mathematics, computer science or another quantitative field</li><li>\r\r\nComfort communicating analytical findings to people of diverse backgrounds using statistical libraries and visualization tools in Python</li><li>\r\r\nExcellent programming skills in Python</li><li>\r\r\nData querying capabilities using SQL</li><li>\r\r\nAbility to explain technical concepts in simple terms to business stakeholders</li></ul>, <p><b>\r\r\nGot These? Even Better</b></p>, <ul><li>\r\r\nExperience deploying regression, GLM, tree-based and Bayesian models with Python in a production environment</li><li>\r\r\nExperience with distributed data and computing tools like Spark, Hive and Presto</li><li>\r\r\nExperience using cloud infrastructure like AWS</li><li>\r\r\nA knack for analyzing and improving processes using data</li></ul>, <ul><li>Unlimited paid vacation days. Choose how your time is spent.</li><li>\r\r\nNever go hungry! We provide weekly GrubHub/Seamless credit.</li><li>\r\r\nRegular in-office social events, including happy hours, wine tastings, karaoke, bingo with prizes and more.</li><li>\r\r\nCompany-Wide Initiatives encouraging innovation, continuous learning and cross-department connections.</li></ul>, <p>\r\r\nWe deliver favorites every day. Join us as we move eating forward.</p>]
## 65 [<ul><li>Use machine learning, hypothesis testing, and other data science techniques to develop solutions and positively impact the Company</li><li>Determine requirements, evaluating analytical approaches, and producing predictive models using appropriate software\r\r\n</li><li>Create useful insights and compelling stories from structured and unstructured data\r\r\n</li><li>Communicate and document statistical analyses and methods in a logical and understandable manner for non-analytical business users and executive decision makers\r\r\n</li><li>Provide technical leadership, mentoring, and training to staff in statistical modeling and data analyses</li><li>Assist with supervision of all processes involved with the development of multivariate models</li><li>Collaborate on the development and planning of analytic projects in response to business needs</li><li>Contribute to the development of data models for mining production databases</li><li>Participate in development of the analytics roadmap by evaluating and incorporating emerging standards, best practices, and new technologies</li><li>Make recommendations on products and services to support structured and unstructured data mining</li><li>Demonstrate strong business acumen and understanding of insurance concepts</li><li>Ensure accuracy of results and analytic methods</li><li>Perform other job-related duties as necessary</li></ul>, <ul><li>Bachelor’s degree in Statistics, Mathematics, Economics or similar discipline (Master's degree preferred)\r\r\n</li><li>3+ years recent, hands-on experience working with data mining tools (SAS, SPSS, R Studio, Python, or an equivalent analytics package)</li><li>Proficiency with logistic regression, time series, neural networks, forecasting, optimization, and other predictive modeling techniques</li><li>Expertise in text and sentiment analysis</li><li>Experience manipulating large amounts of data using SQL</li><li>Exceptional communication and presentation skills</li><li>Ability to translate business needs into technical requirements</li><li>Superior analytical, mathematical, and problem solving skills</li><li>Ability to work with a reasonable degree of independence and with a team</li><li>Effectively manage time to handle competing high priority projects</li><li>Experience using Business Intelligence tools (MicroStrategy) and creating data visualizations is a plus</li><li>Knowledge of Claims Processing systems (Guidewire ClaimCenter) is a plus</li></ul>]
## 66 [<p><b>Description</b>\r\r\n</p>, <ul><li>\r\r\nExecution of all phases of quantitative research projects: identifying the business problem, data exploration, modeling, communication of final results.</li><li>\r\r\nConsults with and provides guidance on the selection and use of modeling software and programs.</li><li>\r\r\nDesign, develop, and implement health care analytic and biomedical modeling programs.</li><li>\r\r\nImplements plans for capturing and creating new data elements, working with Health Plan CIO and IT staff.</li><li>\r\r\nResponsible for conceiving, planning, designing, developing and validating robust algorithms for use in analyzing health care models.</li></ul>, <p><b>\r\r\nQualifications</b><br/>\r\r\n</p>, <ul><li><br/>\r\r\nAdvanced degree in a quantitative discipline such as Bio-informatics, Statistics, Applied Mathematics, Operations Research, Economics, Decision Science, Health Services Research or related field.</li><li>\r\r\nPh.D. highly preferred.\r\r\n</li><li>Three or more years experience in quantitative methods or other relevant work.</li><li><br/>\r\r\nStrong mathematics and science background with sound analytical/computational skills and proficiency in pattern recognition and classification.\r\r\n</li><li><br/>\r\r\nExperience with machine learning models highly desired.\r\r\n</li><li><br/>\r\r\nKnowledge of statistical and reporting methodologies.\r\r\n</li><li><br/>\r\r\nDatabase knowledge for data management is highly desired.\r\r\n</li><li><br/>\r\r\nProficiency in statistical programming languages such as, but not limited to: MATLAB, Mathematica, SAS, R, or Statistica.</li><li><br/>\r\r\nAbility to design programs to analyze complicated scenarios.\r\r\n</li><li><br/>\r\r\nExcellent written and oral communication skills. Must demonstrate a high degree of professionalism, enthusiasm and initiative on a daily basis.</li><li><br/>\r\r\nAbility to work in a fast-paced environment a must. Attention to detail is critical to the success of this position.<br/>\r\r\n<br/>\r\r\n<b>Licensure, Certifications, and Clearances:</b><br/>\r\r\n<b>UPMC is an equal opportunity employer. Minority/Females/Veterans/Individuals with Disabilities</b></li></ul>]
## 67 [<ul><li>Explorating and experimentating with large number of datasets to draw insights and search for stories</li><li>\r\r\nModeling and building algorithms on top of our vast number of datasets</li><li>\r\r\nAssist in designing tech infrastructure and data pipelines (ETL, data automation, data querying, etc.)</li><li>\r\r\nBuilding tools to process, visualize and analyze data</li><li>\r\r\nDesigning and building data-driven software products</li><li>\r\r\nDeploying scalable solutions to a cloud-based infrastructure</li></ul>, <ul><li>Good understanding of advertising technology and landscape, including external data providers and data management platforms</li><li>\r\r\n1-3 years developing analytic projects</li><li>\r\r\nStrong written and verbal communication skills; thrive in a rapidly-evolving environment</li><li>\r\r\nIndustry experience with predictive modeling, databases, computational simulation, clustering, machine learning, and remote computing, e.g., Amazon AWS</li><li>\r\r\nExperience with Python (numpy, scikit, matplotlib, and pandas packages), SQL, bash, R, and other similar statistical computational environments</li><li>\r\r\nExposure to Javascript, HTML/CSS, XML, Hadoop, and parallel processing</li></ul>]
## 68 [<ul><li>Explorating and experimentating with large number of datasets to draw insights and search for stories</li><li>\r\r\nModeling and building algorithms on top of our vast number of datasets</li><li>\r\r\nAssist in designing tech infrastructure and data pipelines (ETL, data automation, data querying, etc.)</li><li>\r\r\nBuilding tools to process, visualize and analyze data</li><li>\r\r\nDesigning and building data-driven software products</li><li>\r\r\nDeploying scalable solutions to a cloud-based infrastructure</li></ul>, <ul><li>Good understanding of advertising technology and landscape, including external data providers and data management platforms</li><li>\r\r\n1-3 years developing analytic projects</li><li>\r\r\nStrong written and verbal communication skills; thrive in a rapidly-evolving environment</li><li>\r\r\nIndustry experience with predictive modeling, databases, computational simulation, clustering, machine learning, and remote computing, e.g., Amazon AWS</li><li>\r\r\nExperience with Python (numpy, scikit, matplotlib, and pandas packages), SQL, bash, R, and other similar statistical computational environments</li><li>\r\r\nExposure to Javascript, HTML/CSS, XML, Hadoop, and parallel processing</li></ul>]
## 69 [<ul><li>Interest and passion for data analytics, insight extraction, programming, and modeling</li><li>Critical thinking to debug programs, create strong variables, iterate modeling techniques, etc.</li><li>Curiosity about what the data says and the analytics that extract insights</li><li>Perform data manipulation, wrangling, cleansing, and analysis (in Python, R, or SAS)</li><li>Knowledge of internal and external data sources</li><li>Build, iterate, and validate predictive models using multiple statistical techniques</li><li>Interpret, understand, and present results to clients</li><li>Provide support and assistance for the implementation of predictive models</li><li>Preferable to have additional specialty skills (e.g. text / sentiment analytics, NLP, social media and web scraping, etc.)</li></ul>, <ul><li>Bachelor’s degree in statistics, actuarial science or related field of study</li><li>2+ years of PROFESSIONAL experience with PYTHON and/or R/SAS (not including academic experience/Internships)</li><li>Experience working with large data sets</li><li>Experience in data wrangling/cleansing, statistical modeling, and programming</li><li>Experience with Tableau or similar visualization tool</li><li>Local or willing to relocate to Orlando, FL - Gilbert, AZ - Mechanicsburg, PA</li></ul>, <ul><li>Up to 15% Travel</li></ul>, <ul><li>Master's Degree in statistics, actuarial science or related field of study</li><li>Experience in data mining and predictive modeling experience</li><li>Extensive knowledge of tools for data mining and statistics</li><li>Experience in HR Analytics</li><li>Strong knowledge of MS Office products</li><li>Solid statistical understanding</li><li>Good oral and written communication skills</li><li>Ability to effectively work in a team environment and as an individual</li><li>Strong work ethic and desire to help clients improve their businesses</li><li>Strong desire for success</li><li>Business analytics experience in one or more of the following industries: Insurance, Consumer Products and Packaged Goods, and Human Resources</li><li>Modeling expertise using statistical techniques such as logistic and linear regression, decision trees, neural network or clustering techniques</li></ul>, <p>As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.</p>, <p>\r\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]
## 70
## 71 [<p><b>Job Location: </b>United States : Florida : Tampa</p>, <p><b>\r\r\nRole Value Proposition:</b></p>, <p>\r\r\nThe Enterprise Center of Excellence in Analytics is a group of associates who make data-based insights that support major decision-based processes at Metlife. In this role, your job will be to deliver data insights reporting and business visualization project-based work, producing quality results in the fields of descriptive analysis. This can include building reports, and developing data visualizations and dashboards for use by internal and external customers.</p>, <p>\r\r\nThe associate must have attention to detail, be able to function in fast paced environment and have an interest in learning the US Group Business and technologies to provide the best solution for the customer’s needs.</p>, <p><b>\r\r\nKey Responsibilities:</b></p>, <ul><li>\r\r\nWork closely with business requesters to understand business needs and develop well-defined analytical engagements to drive value.</li><li>\r\r\nWork on analytics teams dedicated to reporting and business intelligence work providing measurable ROI to the company.</li><li>\r\r\nBuild powerful and useful analytics solutions around common business needs across US Group Benefits.</li><li>\r\r\nConvert data and other information into business insights.</li><li>\r\r\nContribute to collaboration and awareness in global analytics community.</li></ul>, <p><b>\r\r\nEssential Business Experience and Technical Skills:</b></p>, <p>\r\r\nRequired</p>, <ul><li>\r\r\nBachelors or Masters in Quantitative Field (Math, Statistics, Computer Science, Engineering, etc.)</li><li>\r\r\nPrior development experience with Business Intelligence & Data Visualization Technology such as Cognos, Tableau, and Power BI</li></ul>, <p>\r\r\nPreferred</p>, <ul><ul><li><i>2 years of experience as a data scientist/analytical consultant or similar delivery position\r\r\n</i></li></ul><li><i>Capability to delivering technical results to stakeholders.</i></li></ul>, <ul><li><i>2 years of experience as a data scientist/analytical consultant or similar delivery position\r\r\n</i></li></ul>, <p><b>\r\r\nAt MetLife, we’re leading the global transformation of an industry we’ve long defined. United in purpose, diverse in perspective, we’re dedicated to making a difference in the lives of our customers.</b></p>, <p>\r\r\nMetLife is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is MetLife's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.</p>, <p>\r\r\nMetLife maintains a drug-free workplace.</p>, <p><b>\r\r\nFor immediate consideration, click the Apply Now button. You will be directed to complete an on-line profile. Upon completion, you will receive an automated confirmation email verifying you have successfully applied to the job.</b></p>, <p>\r\r\nRequisition #: 104932</p>]
## 72 [<p>BJ's Wholesale Club was the first retailer to introduce the warehouse club concept in the northeastern United States. Today, we’re a multibillion dollar operation with more than 200 clubs in 16 states from Maine to Florida.</p>, <p>\r\r\nWhile our Members know us for helping them save up to 25% off grocery prices every day, our Team Members love us for providing a supportive and engaging workplace that’s committed to developing great talent.</p>, <p>\r\r\nIf you’re a motivated and enthusiastic person who enjoys working collaboratively and is committed to providing great service for our Members, we want to hear from you. BJ’s offers a fast-paced, team environment with great training opportunities and competitive salary and benefits packages to help you succeed.</p>, <p><b>\r\r\nDATA SCIENTIST, MEMBERSHIP ANALYTICS</b></p>, <p>\r\r\nThe Membership Analytics Team is BJ’s internal advanced analytics consultancy. The Team is responsible for a wide range of analysis in support of BJ’s efforts to strengthen member loyalty, improve retention, acquire high quality members and increase member lifetime value. The Data Scientist will be responsible for leveraging BJ’s wealth of data using advanced statistical methods.</p>, <p><b>\r\r\nMajor Tasks, Responsibilities, and Key Accountabilities</b></p>, <ul><li>\r\r\nExtract actionable insights from complex datasets using data mining, statistics, and database techniques to measure/understand/improve member acquisition/engagement KPIs</li><li>\r\r\nApply Data Science methods along with project management skills to assist in developing new approaches to member acquisition, engagement and promotion</li><li>\r\r\nWork cross functionally with stakeholders to ensure data-driven answers are provided and recommended</li><li>\r\r\nBuild reports, dashboards, and other analytical tools to help communicate the state of business</li><li>\r\r\nWorks with and streamlines established data warehouses, production data, and available tools to build strategic datasets in support of key initiatives</li><li>\r\r\nEstablishes and systematically performs processes to assess and validate data accuracy</li></ul>, <p><b>\r\r\nQualifications</b></p>, <ul><li>\r\r\nWorking knowledge on machine learning and statistical methods (Supervised/unsupervised learning, Linear/logistic Regression, Random Forests, Lift Modeling, Linear/nonlinear Programming, Clustering, ARIMA, Neural Networks, Variable selection/feature engineering, hypothesis testing)</li><li>\r\r\nExperience developing and productionizing machine learning models and application of statistical methods in Python(pandas/numpy/sklearn/scipy)</li><li>\r\r\nExperience with data ETL in at least one of the following scripting language: Python/R/SAS/SQL</li><li>\r\r\nExperience with Cloud computing environment preferred (AWS/Azure/Google Cloud)</li><li>\r\r\nStrong analytics background with the ability to apply analytical skills to business problems</li><li>\r\r\nMinimum 2 years of experience managing data science/analytics projects</li><li>\r\r\nBachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Engineering or a related field</li></ul>, <p><b>\r\r\nEnvironmental Job Conditions</b></p>, <ul><li>\r\r\nMost tasks are performed while seated indoors at a personal computer.</li><li>\r\r\nLimited travel may be required periodically throughout the year.</li></ul>, <p>\r\r\nBJ's Wholesale Club is committed to a policy of equal employment opportunity for all qualified team members and applicants for employment without regard to race, religion, color, sex, sexual orientation, age, ancestry, national origin, physical and/or mental disability, genetic information, atypical cellular or blood trait, marital and/or familial status, pregnancy, gender identity and expression, military or veteran status, or any other characteristics protected by applicable law.</p>]
## 73 [<ul>\r\r\n<li>Design and implement data analysis, data mining, research, analysis, modeling strategies and best practices</li>\r\r\n<li>Use analytical expertise to spot key business insights, trends, and opportunities in our vast database</li>\r\r\n<li>Help interpret and communicate your findings in a way that is easily understood by those less familiar with data</li>\r\r\n<li>Collaborate with a dynamic Product and Development team in delivering data products and insights to clients</li>\r\r\n<li>Establish and maintain relationships with distributed cross-functional teams to leverage domain and industry expertise</li>\r\r\n<li>Identify missing and inaccurate data in our platforms; seek out supplements and replacements to improve our data sets to the greatest extent possible</li>\r\r\n<li>Advise teams and clients as a subject matter expert in data science</li>\r\r\n</ul>, <ul>\r\r\n<li>Bachelor's degree in a quantitative field such as Statistics, Computer Science, Economics, or Mathematics; or equivalent work experience</li>\r\r\n<li>Relevant, successful professional industry experience</li>\r\r\n<li>Proficiency with database and analysis tools like R, SQL, Python, and others</li>\r\r\n<li>Expertise in statistical modeling, data collection, aggregation, analysis, machine learning, and productization</li>\r\r\n<li>Self-driven passion for finding and collaboratively solving problems</li>\r\r\n<li>Strong understanding of the benefits and flaws in the application of various methods</li>\r\r\n<li>Build your portfolio today: https://mycodepilot.com/candidates ( https://mycodepilot.com/candidates )</li>\r\r\n</ul>]
## 74 [<p>Are you a curious, collaborative, self-led, resourceful, drive-not-ride type? Join us. When it comes to success, we know we’re only as strong as our team, so we empower our Rain Makers to forge the way—finding opportunity at the intersection of what they love, what we need, and where they thrive.</p>, <p>We’re Talking Rain, the maker of Sparkling Ice, and we’re so much more than water. We build flavorful brands that deliver sustainable growth and create a connected community that people embrace, trust and enjoy!\r\r\n</p>, <p>Click to learn about us and our careers. You can also follow us on LinkedIn, Instagram, Twitter and Facebook.</p>, <p>Data is more than stats to our Business Development and Strategic Planning team—it’s a story waiting to be told. They translate the details into actionable information and strategy, helping us drive forward.</p>, <p>You’ll form partnerships across our business to help define and drive our strategy. Major areas of focus will be around reducing cost and complexity within our operations, as well as effectiveness of our promotional and marketing activities.</p>, <ul><li>Bring your expertise to drive improvements to forecasting (Sales, Production, Raw Material Planning).</li>\r\r\n<li>Refine inventory stratification methodology to minimize carrying costs and out of stocks.</li>\r\r\n<li>Support sales and marketing on pricing and promotion efficiency evaluations.</li>\r\r\n<li>Collaborate with our Marketing team on program effectiveness evaluations.</li>\r\r\n<li>Quantify the value of existing product improvements or the potential value of new product hypotheses.</li>\r\r\n<li>Ensure we’re ahead of the curve, staying abreast of the ever-shifting retail landscape and how we can best leverage syndicated data.</li>\r\r\n<li>Assist in the budgeting, forecasting and demand planning processes.</li>\r\r\n<li>Develop custom data models and algorithms to generate predictive insights.</li>\r\r\n<li>Ensure food safety, quality, and SQF practices are followed at all times, notifying immediate manager of any food safety and/or quality issues.</li>\r\r\n<li>Complete other responsibilities as assigned.</li>\r\r\n</ul>, <p>Reports to: Pricing and Analytics Manager</p>, <p>Direct Reports: N/A</p>, <ul><li>Your<b> results driven</b> mindset enables you to interpret complex data, developing and communicating exceptional strategic solutions.</li>\r\r\n<li>You frequently leverage your EQ, or <b>emotional intelligence</b>, actively listening and adapting your style to the audience.</li>\r\r\n<li>Your <b>commitment</b> to excellence is second to none, with an exceptionally high attention to detail.</li>\r\r\n<li>You earn people’s <b>trust</b> with your ability to maintain confidentiality, particularly when handling sensitive information and situations.</li>\r\r\n<li>You always take the <b>initiative</b>, which means you’re stellar at prioritization, time-management, and troubleshooting.</li>\r\r\n<li>You’re <b>flexible</b>, which means you can pivot on a dime when the situation changes.</li>\r\r\n</ul>, <ul><li>Master’s degree in Computer Science, Statistics, Mathematics, Economics or related field preferred; Bachelor’s degree accepted.</li>\r\r\n<li>Experience in the consumer-packaged goods (CPG) industry, with an emphasis on predictive analytics, data mining, statistics, machine learning, algorithms, etc.</li>\r\r\n<li>Microsoft Excel power user.</li>\r\r\n<li>Complete proficiency with SQL, with at least one additional language for data analysis (e.g. R, Python).</li></ul>]
## 75 [<ul><li>\r\r\nBuild new data science processes from the ground up</li><li>\r\r\nIdentify and implement industry best practices\r\r\n</li><li>Test hypotheses and effectively communicate results to both technical and non-technical audiences</li><li>\r\r\nTurn unstructured problems into robust technical solutions</li><li>\r\r\nExtract business insights from our data sets</li><li>\r\r\nDesign and evaluate data platforms</li><li>\r\r\nWork cross functionally to identify business problems and assist in creating data-enabled solutions</li><li>\r\r\nCollaborate with our software team to build and implement scalable algorithmic systems</li></ul>, <ul><li>\r\r\nExperience in data science or a related field, such as math or statistics</li><li>\r\r\nStrong skills in statistics, probability, and/or machine learning</li><li>\r\r\nExperience in training and deploying models</li><li>\r\r\nFluent in at least one scripting language, such as R or Python</li><li>\r\r\nExperience with relational databases (e.g. MySQL)</li><li>\r\r\nSkill in data gathering, cleaning, and visualization</li><li>\r\r\nSelf-driven and autonomous</li></ul>, <ul><li>\r\r\nFlexible hours</li><li>\r\r\nUnlimited paid vacation and sick days</li><li>\r\r\nBike rack and subsidized parking</li><li>\r\r\nCovered medical, dental, and vision insurance</li><li>\r\r\nFully stocked breakfast, snack, and wine bar</li><li>\r\r\nWeekly wine tastings led by our co-founder and resident sommelier\r\r\n</li><li>Relaxed dress code</li><li>\r\r\nA fun, friendly office atmosphere in our brand new office space in the heart of Milwaukee’s Third Ward</li><li>\r\r\nUnlimited access to Ward4’s co-working space</li><li>\r\r\nOpportunity to build something incredible while being surrounded by intelligent, hardworking and motivated coworkers</li></ul>]
## 76 [<p>MetroStar Systems is looking for a Junior Data Scientist that is passionate about data collection, analyzing and dissemination. If you want to join a company that values thoughtful data collection and are open to commuting to Washington DC we want you to work for MetroStar! Come be a game changer and join our team!</p>, <p><b>\r\r\nYou're a great fit if:</b></p>, <ul><li>\r\r\nYou can independently perform complex data mining tasks involving the application of proven data mining principles, practices, and techniques which require knowledge of customer data domains.</li><li>\r\r\nYou love to analyze, evaluate, and integrate data mining solutions to diverse problem sets.</li><li>\r\r\nYou're comfortable advising all stakeholders on advanced data mining and technical matters, research, and applications.</li></ul>, <p><b>\r\r\nYou'll love our {company/technology/position} if: </b><b><i>(This is the stuff you MUST have to be a fit)</i></b></p>, <ul><li>\r\r\nYou have 3+ years of experience with data analytics</li><li>\r\r\nYou have a Bachelor's Degree and you are able to obtain/maintain a Public Trust clearance</li></ul>, <p><b>\r\r\nWe'll REALLY love you if:= </b><b><i>(This is the bonus stuff that makes you stand out)</i></b></p>, <ul><li>\r\r\nYou have experience using Tableau and/or PowerBI to create dashboards</li></ul>, <p>\r\r\nThe Admin Stuff: Applicants selected may be subject to a government security investigation and must meet eligibility requirements for potential access to classified information. Accordingly, US Citizenship is required</p>, <p>\r\r\nThe Legal Stuff:<i>MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.</i></p>]
## 77 [<p>\r\r\nDo you love data and analysis? If so, we’d love to have you as part of Omatic Software’s fast-growing team.</p>, <p>\r\r\nAs a Data Scientist, your goal is to drive the execution of campaign creation, segmentation, and performance reports to provide key learnings and feedback (trends, patterns, irregularities) for the marketing and sales teams. In this role, you must possess a relentless attention to detail and be able to flex your analytic muscle to identify insights into campaign effectiveness and marketing spend. You must possess strong intellectual curiosity and an affinity for numbers, along with the ability to dig in and understand the details of a problem, while at the same time understanding high-level strategic perspectives. The Candidate is responsible for evaluating end-to-end marketing impact across multiple channels, campaigns and customer touch points.</p>, <ul><li>\r\r\nMeasure, track and report the effectiveness of advertising, marketing and communications campaigns; recommend budget allocations based on learnings</li><li>\r\r\nGenerate, analyze and present ad hoc reports for management</li><li>\r\r\nProvide technical guidance on models and analyses; this may include work streams such as statistical and predictive modeling (including regression and simulation modeling), brand valuation, and brand impact on marketing</li></ul>, <ul><li>\r\r\nWork with product marketing to conduct forms of conjoint/multi-attribute analysis to optimize performance with new and existing customers (upsell, vertical, pricing, general mix)</li><li>\r\r\nConduct secondary research initiatives including gathering intelligence from industry associations, statisticians and other marketing experts</li><li>\r\r\nDevelop groups and solicit customer feedback via questionnaires and surveys</li><li>\r\r\nAssist in database development projects to capture market data</li></ul>, <ul><li>\r\r\nAssist the marketing team in various campaign execution activities</li><li>\r\r\nContribute to channel conversion test planning, execution and measurement</li><li>\r\r\nInteract cross-functionally with a wide variety of teams including marketing, sales, partners, products and support</li></ul>, <ul><li>\r\r\nBachelor’s Degree in Business and/or Analytics</li><li>\r\r\n1+ years of practical, Co-Op, professional or advanced course work in Analytics and Marketing</li><li>\r\r\nDeep expertise with Excel/pivot tables, SQL databases</li><li>\r\r\nWorking knowledge of Salesforce (or other enterprise-level CRM) and Pardot (or other Marketing Automation tool) a plus</li><li>\r\r\nDemonstrated ability to analyze and distill data into actionable insights</li><li>\r\r\nExceptional written and verbal communication skills</li><li>\r\r\nAbility to thrive in a fast-paced start-up environment</li></ul>, <p>\r\r\nThis position is full-time and is in Charleston, South Carolina and will report to the Vice President of Marketing. As you may already know, <i>Travel + Leisure magazine</i> has selected Charleston as the No. 1 city in the U.S. and Canada for the sixth consecutive year and for good reason! Referred to as Silicon Harbor, Charleston is home to a growing community of start-ups and tech companies.</p>, <p>\r\r\nWe offer a competitive salary with bonus potential, health insurance (with extremely generous employer-covered options), dental and vision coverage, 401K with company match, a lively office atmosphere with company-sponsored lunches, outings and the all-important stocked fridge and pantry for the snacker in you.</p>, <p>\r\r\nWe are a proud 5-time Inc. 500/5000 honoree for Fastest Growing Private Companies in America and a 2018 Best Places to Work in South Carolina award winner. The Omatic Team is comprised of extremely passionate, experienced professionals who are dedicated to integrating disparate systems and democratizing data access for today’s nonprofits. To learn more about who we are, what we do and why we do it, we invite you to watch our team video.</p>]
## 78 [<ul><li><b>Higher starting salary possible depending on experience level</b></li></ul>, <p>\r\r\nAs a Data Scientist for the CIA, you will organize and interpret data to inform US decision makers, drive successful operations and shape CIA technology and resource investments. Through CIA's global mission, the Agency has access to unique and highly specialized data sets. You will work with advanced hardware, software and techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data. Data Scientists clearly communicate their conclusions to a diverse audience and become experts through Agency-sponsored continuing education, attendance at academic and technical conferences as well as collaboration with the Intelligence Community.</p>, <p><b>\r\r\nOffices of the CIA - Directorate of Digital Innovation</b></p>, <p>\r\r\nThe Directorate of Digital Innovation (DDI) is at the forefront of defining the future of digital expertise within the CIA. DDI focuses on developing the workforce with cutting-edge skills, investing in IT infrastructure, and modernizing the way the Agency does business. DDI officers help accelerate the integration of innovative methods and tools to enhance the CIA’s cyber and digital capabilities on a global scale and ultimately help safeguard our nation. Learn more about the Directorate of Digital Innovation.</p>, <p><b>\r\r\nLife at CIA:</b></p>, <p>\r\r\nIn addition to a comprehensive benefits package, the CIA offers exciting career opportunities and a dynamic environment. We're on the forefront of world-altering events - as they happen. So working here isn't just a job, it's a mindset and a lifestyle.</p>, <p><b>Minimum Qualifications:</b></p>, <ul><li>\r\r\nBachelor’s degree</li>\r\r\n<li>Experience in a science, technology, engineering or mathematics (STEM) related field, such as:</li>\r\r\n</ul>, <ul><li>Computational social science</li>\r\r\n<li>Computer science</li>\r\r\n<li>Data analytics</li>\r\r\n<li>Economics</li>\r\r\n<li>Engineering</li>\r\r\n<li>Geospatial analysis</li>\r\r\n<li>Mathematics</li>\r\r\n<li>Operations research</li>\r\r\n<li>Quantitative finance</li>\r\r\n<li>Statistics</li>\r\r\n</ul>, <ul><li>GPA of at least 3.0 on a 4.0 scale</li>\r\r\n<li>Experience with real world data through thesis research, internships, or work experience</li>\r\r\n<li>Creativity</li>\r\r\n<li>Initiative</li>\r\r\n<li>Integrity</li>\r\r\n<li>Leadership abilities</li>\r\r\n<li>Problem solving skills</li>\r\r\n<li>Ability to work in a diverse team environment</li>\r\r\n</ul>, <p><b>Desired Qualifications:</b></p>, <ul><li>\r\r\nAdvanced degree in a data science equivalent field or sub-field</li>\r\r\n<li>Experience working with data rich problems through research or programs</li>\r\r\n<li>Experience with computer programming or user experience/user interface</li>\r\r\n<li>Ability to successfully complete projects with large or incomplete data and provide solutions</li>\r\r\n<li>Strong written and verbal communication skills</li>\r\r\n</ul>, <p><b>The following items must be attached to your on-line application (PDF format preferred):</b></p>, <ul><li><b>\r\r\nResume</b></li>\r\r\n<li><b>Cover letter in which you specify your qualifications </b><b>for this position. Please address why you want to work in this role and what differentiates you from other applicants.</b></li>\r\r\n<li><b>Unofficial transcripts for all degrees</b></li>\r\r\n<li><b>A writing sample, five (5) pages MAXIMUM, single spaced, technical or analytic paper that focuses on your current area of expertise or interest and is related to your interest in positions at CIA. You can excerpt longer papers.</b></li>\r\r\n</ul>, <p><b>ALL POSITIONS REQUIRE RELOCATION TO THE WASHINGTON DC METROPOLITAN AREA.</b></p>, <p>\r\r\nAll applicants must successfully complete a thorough medical and psychological exam, a polygraph interview, and an extensive background investigation. US citizenship is required.</p>, <p>\r\r\nTo be considered suitable for Agency employment, applicants must generally not have used illegal drugs within the last twelve months. The issue of illegal drug use prior to twelve months ago is carefully evaluated during the medical and security processing.</p>, <p><b>\r\r\nImportant Notice: </b>Friends, family, individuals, or organizations may be interested to learn that you are an applicant for or an employee of the CIA. Their interest, however, may not be benign or in your best interest. You cannot control whom they would tell. We therefore ask you to exercise discretion and good judgment in disclosing your interest in a position with the Agency. You will receive further guidance on this topic as you proceed through your CIA employment processing.</p>, <p>\r\r\nTo Apply:</p>, <p>\r\r\nSave the position(s) that interest you in the job cart. You can add up to four (4) positions. Job cart selections will only be retained during this site visit, so be sure to click “Apply Now” before closing the browser window. After clicking "Apply Now"" you will be taken to the application account creation page. The positions will appear in the cart once you have created an account. <b>DO NOT</b> submit multiple applications; this will only slow the review of your application and delay processing. Please read the Application Instructions carefully before you begin the online application process.</p>]"
## 79 [<p>Since 1939, growth and change have been the two constants at Schnucks. As our customers change, we change to meet their needs. As the neighborhoods we serve grow, we grow with them. Schnucks is a progressive, family-owned supermarket retailer with 100 stores in Missouri, Illinois, Indiana, Iowa and Wisconsin – all managed from our corporate headquarters in St. Louis.</p>, <ul><li>Conduct deep analysis evaluating strategic effectiveness around sales, gross profit, TIL, customers, and baskets.</li><li>Develop and share analytics and best practices across entire analyst team.</li><li>Centralize, standardize, and automate key analytics functions currently spread across multiple teammates.</li><li>Report findings and work with business stakeholders to recommend actions.</li><li>Develop predictive modeling in support of business optimization.</li></ul>, <ul><li>Minimum Education: Master’s Degree. Will accept Bachelor’s Degree in Mathematics/Statistics plus equivalent experience.</li><li>Minimum Years of Experience: 3 to 5 years.</li></ul>, <ul><li>Google Suite and Microsoft Office, with advanced Microsoft Excel.</li><li>Working knowledge of SQL. Working knowledge of Web-Focus BI, Nitro (Nielsen), Alteryx, Tableaut tools a plus.</li><li>Statistical software proficiency required; R, Python, Matlab, SAS, SPSS, etc., with demonstrated success.</li><li>Functional knowledge of unstructured data sets, including how to access and consume.</li><li>Certification or equivalent experience in analytic methodology (e.g. Six Sigma).</li><li>Ability to handle large amounts of data, identify key information, and provide insightful recommendations to all levels within the organization with minimal direction.</li><li>Ability to communicate to all audiences including strategy team, form strong partnerships, and powerfully convey their recommendations in order to gain action on their insights.</li><li>Strong organizational skills, the ability to multi-task in a dynamic environment, and must keep a high level of composure and professionalism in all situations.</li><li>Strong critical thinking skills with the ability to think outside the box.</li><li>Advanced analytical skills and techniques, including deep statistical knowledge, big data knowledge, visualization, and data exploration.</li></ul>, <ul><li>Walking</li></ul>, <ul><li>Standing</li><li>Less than ½ Day</li><li>Lifting</li></ul>, <ul><li>Travel</li></ul>, <ul><li>Work Environment</li></ul>, <p><i>\r\r\nSchnucks is an Equal Opportunity Employer.</i></p>]
## 80 [<p>At Abbott, we're committed to helping people live their best possible life through the power of health. For more than 125 years, we've brought new products and technologies to the world - in nutrition, diagnostics, medical devices and branded generic pharmaceuticals - that create more possibilities for more people at all stages of life. Today, 99,000 of us are working to help people live not just longer, but better, in the more than 150 countries we serve.</p>, <p><b>\r\r\nPrimary Job Function:</b></p>, <p>\r\r\nThis position is responsible for developing and testing prognostic (predictive) health monitoring algorithms as well as leveraging any proactive evidence from instrument real time errors. Analyze instrument data & performance for Service Area in Fluidics; Optics; Robotics; Transport; Software (FORTS) and Assays. Identify and analyze Early Warning indicators or shifts in product performance to align with Predictive Algorithms. Major responsibilities include working with CFTs to identify key problem areas for diagnostic analyzers; designing and testing predictive algorithms using historical data and rigorous statistical methodology; and effectively communicating the results of these efforts to CFTs and the end-user. Works with R&D Engineering and TPD to identify potential indicators in ADD’s next generation of diagnostic analyzers for Prognostic (predictive) Health Monitoring. Develops scripts using Python; SQL or R to collect indicator data from test beds and analyzers for use in developing prognostic (predictive) algorithms. Translates algorithms received from R&D Quality Engineering into the Global Service Tool Set (POM; Apollo) Supports the continued development and advancement of the PHM program/ strategy though fruitful collaborations with other organizations within Abbott Diagnostics.</p>, <p><b>\r\r\nCore Job Responsibilities:</b></p>, <p>\r\r\nResponsible for implementing and maintaining the effectiveness of the quality system. Communicates with service professionals; SMEs; and Quality Engineers to identify key problem areas and target potential algorithms Designs; evaluates and optimizes algorithms using historical data. Summarizes algorithm specificity; sensitivity and remaining useful life (RUL); communicates to key stakeholders. Produces comprehensive technical (design) documents; these will be the core documents that provide the basis for KM articles. Facilitates collaborative investigations with service personnel to validate algorithms and conduct real-world tests Communicates with both management and the end user effectively and clearly. Development of tools for front line to improve support for customers; coauthoring of Knowledge Management (KM) articles for inclusion in Active Sense Technologies KM tool. Communication with internal and external customers</p>, <p><b>\r\r\nPosition Accountability / Scope:</b></p>, <p>\r\r\nThis position is part of the Global Service Technical Operations team. The position supports the transformation to a Proactive and Predictive service model. Sphere of Influence: Member of cross-functional teams which include highly technical professionals and individuals within R&D; Global Technical; SMART Centres; Call Centres; front line SMEs & Service Marketing; guiding them to provide key information to support proactive & predictive data. Exhibits high level of integrity; honesty; keeping commitments and presenting information completely and accurately to both internal and external customers. Financial: Accountable for actions that have a direct impact on Area sales and service costs. Considers financial implications as part of decision making. Provides action plans to reduce cost of service. Product Scope: Scope includes ADD manufactured products Decision making; Makes timely technical; operational and business decisions with high risk or consequences to the business. Individual must be able to identify and drive resolution of issues; be accountable for defined action plans. Customer Relationships: Individual must be extremely responsive to the needs of the country service organization and the needs of the business. Accountable for providing a level of service that is perceived by our customers to be the best in the industry.</p>, <p><b>\r\r\nMinimum Education:</b></p>, <p>\r\r\nBachelor’s degree or equivalent qualification or experience required. Bachelor’s / Engineering degree in medical / electrical / mechanical or medical technology is preferred. MS in bioinformatics; statistics; or equivalent would be most desirable.</p>, <p><b>\r\r\nMinimum Experience / Training Required:</b></p>, <p>\r\r\nFour years of SQL programming, experience working with diagnostic instrumentation.</p>, <p><b>\r\r\nSkills Desired:</b></p>, <p>\r\r\nExpertise or experience in statistics and signal processing -Expertise or experience in object-oriented, analytical programming (e.g., R, Python, MatLab) -Comfortable with SQL, ODBC query logic or equivalent -Adept with machine learning algorithms</p>, <ul><li>Well organized and have basic knowledge of Abbott products.</li><li>Manage changing or shifting priorities.</li></ul>, <p>\r\r\n·Clearly articulate thoughts and ideas to external and internal customers. ·Responsive to questions;</p>, <p>\r\r\n issues; and needs in a timely manner.</p>, <ul><li>Strong written and verbal communication skills</li><li>Confident presentation skills</li></ul>, <p>\r\r\n·Drive for results ·Work effectively with cross-functional teams</p>, <ul><li>Requires good judgment; planning and organizational skills</li><li>High work standards; energy; initiative; flexibility; decisiveness; and proven problem-solving skills</li></ul>]
## 81 [<ul><li><div>\r\r\nDesign, benchmark, and apply bioinformatics software to enable analysis and interpretation of genomic and metagenomic data for JGI’s user community.</div></li><li><div>\r\r\nSupport ongoing user science, CSP, and FICUS projects through requests for advanced analyses in line with the Program’s strategic objectives and goals.</div></li><li><div>\r\r\nWork in a high-performance computing environment and interact with a team of computer scientists, software developers and postdoctoral researchers to develop new methods and tools for large-scale metagenome data analysis.</div></li><li><div>\r\r\nPresent updates at group meetings and contribute to the preparation of scientific publications describing new computational approaches and methods.</div></li></ul>, <ul><li><div>\r\r\nGather feedback and requirements to develop software for the organization and handling of metagenomic data and automation of analytical procedures to deploy in a production setting.</div></li><li><div>\r\r\nSupport the development of visualization tools and/or user interface for navigation and data comparisons across thousands of genomic and metagenomic samples.</div></li></ul>, <ul><li><div>\r\r\nBachelor's degree in Bioinformatics, Computational Biology, Computer Science, or related field with a minimum of five years of work experience, or an equivalent combination of education and experience. Advanced degree (MS / Ph.D.) preferred.</div></li><li><div>\r\r\nDemonstrated expertise processing large volumes of data, genome and metagenome data analysis, and comparative metagenomics.</div></li><li><div>\r\r\nAble to program in Python, Perl, Java, and read/decipher C/C++</div></li><li><div>\r\r\nFamiliar with advanced UNIX utilities and shell programming</div></li><li><div>\r\r\nFamiliar with existing bioinformatics databases, tools and best practices</div></li><li><div>\r\r\nExperience and skill in preparing research publications.</div></li><li><div>\r\r\nAbility to troubleshoot complex systems and data analysis problems.</div></li><li><div>\r\r\nAbility to contribute to the development of multiple projects/pipelines</div></li><li><div>\r\r\nUnderstanding of standard sequencing analysis methods (assembly, gene calling, functional annotation).</div></li><li><div>\r\r\nStrong problem-solving, decision-making, and analytical skills to make sound judgments and recommend creative solutions to moderately complex problems.</div></li><li><div>\r\r\nStrong interpersonal skills with the ability work independently and as a team member in a diverse team environment.</div></li><li><div>\r\r\nAbility to organize and present reports to collaborators, JGI staff, management, and sponsors.</div></li></ul>, <ul><li><div>\r\r\nGood knowledge of tools for microbial ecology studies.</div></li><li><div>\r\r\nExperience in or familiarity with statistical analysis is desired.</div></li></ul>, <ul><li><p>\r\r\nThis is a full time, 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.</p></li><li><div>\r\r\nFull-time, M-F, exempt (monthly paid) from overtime pay.</div></li><li><div>\r\r\nSalary is commensurate with experience.</div></li><li><div>\r\r\nThis position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.</div></li><li><div>\r\r\nWork will be primarily performed at DOE Joint Genome Institute (JGI) — 2800 Mitchell Dr., Walnut Creek, CA.</div></li></ul>, <p>\r\r\nThis is a full time, 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.</p>]
## 82 [<p><b>Not just another start-up, we fight fraud!</b><br/>\r\r\n</p>, <p>At Shift Technology we are proud to have a purpose: to help insurers weed out claims corruption. Our SaaS solution, which leverages Big Data and AI, has been used to unravel fraud networks across Asia, Europe, and the Americas.<br/>\r\r\nIf you are someone motivated by meaningful work, Shift Technology may just be the spot for you!</p>, <p><b>\r\r\nYour day-to-day</b></p>, <p>\r\r\nAt Shift Technology, we are constantly looking for new ways to innovate. Fraud landscapes are in constant motion and in order to ensure our detection methods are always one step ahead, our data scientists must be too.<br/>\r\r\nShift Technology data scientists are the central productive force of the company. They design the models, construct the features, implement the rules, and optimize the algorithms that are used throughout the data processing pipeline. They face two main challenges: messy and often incomplete data paired with complex and ever-evolving problems.<br/>\r\r\nThe data we collect comes in all shapes and sizes and is not, for the most part, quantitative. Insurance claims data typically includes date, location, circumstantial details, damage descriptions, and involved parties. With that wide array of information, our data scientists must be comfortable with a variety of specific approaches: unsupervised anomaly detection, temporal sequences analysis, semantic network analysis …<br/>\r\r\nAs for the solution, our data scientists must be able to produce predictions justified with intelligible explanations, even when very little data is available.<br/>\r\r\nOur data scientists have the exciting mission of designing and implementing models that replicate and enhance real-world fraud handling deduction patterns. They are tasked with optimizing the algorithms involved in the data processing pipeline and making adjustments as fraud scenarios mature and evolve.<br/>\r\r\nAfter a few short months of joining our data scientist team you will be able to:</p>, <ul><li>\r\r\nUnderstand insurance data and fraud mechanisms;</li><li>\r\r\nCreate the associated mathematical models;</li><li>\r\r\nImplement, test and optimize the associated algorithms;</li><li>\r\r\nParticipate in workshops with the clients to gather feedback and integrate it to the models;</li><li>\r\r\nContinuously provide ideas to improve the solution.</li></ul>, <p><b>Your toolkit</b></p>, <p>\r\r\nOn the job you will be asked to code in C# so programming experience is a big advantage, but not essential if you are willing to learn fast!</p>, <p>\r\r\n<b>\r\r\nYour profile</b></p>, <p>\r\r\nShift Technology’s data science department is filled with top performers who are committed to technical excellence, inspired by challenging projects, and always on the look-out for new learning opportunities.<br/>\r\r\nIf the following qualities ring true, you would fit right in at Shift Technology:</p>, <ul><li>\r\r\nYou have advanced technical skills in Applied Mathematics, preferably in machine learning and/or operations research;</li><li>\r\r\nYou combine strong analysis with synthesis abilities and are not afraid to deal with the details;</li><li>\r\r\nYou can write quality production code;</li><li>\r\r\nYou don't mind meeting with clients to discuss their needs and integrate their feedback in your projects;</li><li>\r\r\nYou are bilingual in English !</li></ul>]
## 83 [<p>The Customer Operations Strategy & Data Analytics group is a part of the larger Customer Operations Organization which also includes Revenue Operations, Customer Billing and the Customer Contact Centers. Our group is responsible for developing and delivering data and analyses that enable Customer Operations to deliver critical business to provide an exceptional customer experience.</p>, <p><b>Job Description/Responsibilities</b></p>, <ul><li>Provide senior leadership with metrics and insights based on detailed analysis of emerging trends, business performance and key metrics.</li></ul>, <ul><li>Responsible for complex analysis of business problems.</li></ul>, <ul><li>Partner with internal business customers to develop analyses that lead to actionable insights.</li></ul>, <ul><li>Contribute to presentations for senior management.</li></ul>, <ul><li>Build analytical tools, user friendly reports and ad-hoc analyses to support and enable our operational teams.</li></ul>, <ul><li>Develop strong knowledge of business processes across our organization in order to provide relevant insights and recommendations to the team.</li></ul>, <ul><li>Understand business goals and develop analytical solutions to support operational performance reviews and decision making.</li></ul>, <ul><li>Combine data from multiple sources (SQL databases, Excel files, flat files, etc.) into integrated views that can be used to drive analysis and summarized crisply for executive decision making.</li></ul>, <ul><li>Propose robust solutions to improve processes and proactively drive opportunities to resolution, both operations & data architectures.</li></ul>, <p><b>Requirements/Qualifications</b></p>, <ul><li>A Bachelor’s degree in an applicable field.</li></ul>, <p>The following experience / skills may set you apart from others:</p>, <ul><li>Extensive experience in Tableau, Microsoft SQL and VBA</li></ul>, <ul><li>A Bachelor’s degree in Mathematics, Accounting, IT, Engineering or related field.</li></ul>, <ul><li>A Masters or other advanced degree, ideally in an Analytics, Mathematics, IT, or Business area</li></ul>, <ul><li>Business Analytics and Optimization experience with sources for support</li></ul>, <ul><li>Lean/Six Sigma certification</li></ul>, <ul><li>Energy industry background that includes a working knowledge of effectively mapping technology-to- –business challenges</li></ul>, <ul><li>Extensive experience in Excel, PowerPoint, Access, SAP Business Intelligence and SAP Business Objects</li></ul>, <p><b>Essential Functions:</b></p>, <p>Business Support Advisors and Consultants support the planning, business analysis, general management, budget preparations and analysis, negotiations, transactions, customer services and auditing of a wide variety of business functions and processes of specific operating and support areas throughout the Company. Duties and who this individual reports to will fluctuate between projects, departments and offices. Lead and/or assist with business analysis and support for the plans, reports, impacts, contracts, schedules, estimates, data collection, observations, and field investigations. Provide business analysis and support services with accuracy, on time and under budget. Use computer assisted applications software and equipment to prepare business analysis support documents. Understand and follow Company established standard procedures for file structure and standard procedures for projects. Become familiar with business and department and Company plans and related material for each project and be able to utilize the information appropriately. Assists in client contact and communication. Utilize effective communication skills to answer inquiries from coworkers, clients, or the public. Public involvement may include producing reports, graphics, presentations, and other visual material as well as occasional speaking or meeting with stakeholders. Attend internal and external meetings. Provide business analysis and support services in a legal and ethical manner.</p>, <p><b>Hours and Travel:</b></p>, <p>This position requires the individual work 40 hours per week with 90% of time spent in the office or specific field locations. This position may require the ability to travel between field locations. This position may include nights and weekend/holiday timeframes.</p>, <p><b>Physical Demands:</b></p>, <p>The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit; stand; walk; and stoop, kneel, crouch, or crawl; use hands to finger, handle, or feel objects, tools, or controls; and reach with hands and arms. The employee frequently is required to talk or hear. The employee will be using a computer and the associated keyboard and mouse. The employee must frequently lift and move up to ten pounds and occasionally lift and move up to seventy-five pounds. Specific vision abilities required by this job include close vision, color vision, depth perception, and the ability to adjust focus. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate. The noise level on the construction site is often loud. Internal (employee) applicants must be in his/her current position for a minimum of twelve months to be eligible for this vacancy, unless otherwise approved by his/her Officer.</p>]
## 84
## 85 [<p>VillageCareMAX is seeking a Data Analyst for a full-time in house position. The qualified candidate will provide analytical support across business functions including, but not limited to, care management, utilization management, quality, business operations, compliance, and claims. The position is an integral part of Analytics team, competent to work with various teams and capable of independently carrying out all essential data related tasks:</p>, <ul><li>Compiles, analyzes and interprets varied and complex healthcare, clinical and utilization data for Analytics department, supporting across business functions including, but not limited to, care management, utilization management, quality, business operations, compliance, and claims</li></ul>, <ul><li>Develops and maintains customized reports and dashboards for various departments using various tools (SQL, Access, Excel, BI Tools, etc.)</li></ul>, <ul><li>Ability to run complex queries, manipulates, transform, and generate reports using SQL, MS Access, MS Excel, and BI tools</li></ul>, <ul><li>Works with VillageCare IT department in automation of information through dashboard development to track or monitor metrics or data, subsequent to analysis, including validation and testing. Participates in the design and development of dashboards that will automate the collection or analyzing of data</li></ul>, <ul><li>Works closely with all levels of business users to clearly define reporting requirements in support of strategic decision making. This includes standard reports, ad-hoc analysis, dashboards, and scorecards</li></ul>, <ul><li>Utilizes various software tools and identify the best format to present and communicate data to provide clear, concise and easy–to-understand information</li></ul>, <ul><li>Performs other duties and responsibilities as assigned</li></ul>, <p>Requirements:</p>, <p> Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering or other relevant field required.</p>, <p>Having a master's degree in a related field is highly preferred.</p>, <ul><li>3-5 experience in business intelligence and analytics performing increasingly complex data analysis and report/dashboard development, preferably in a health care setting</li></ul>]
## 86 [<p><b>Job Purpose\r\r\n</b></p>, <ul><li>The position is part of the Applied Research & Development team, supporting the Pricing and Analytics business.\r\r\n</li><li>The primary responsibility for this role within the organization will be to contribute to R&D projects associated with the creation or validation of new product development initiatives and to support the model development of ICE Liquidity Indicators.\r\r\n</li><li>The ideal candidate will have an extensive knowledge of statistics and quantitative finance, with a particular focus on their application to fixed income markets.\r\r\n</li><li>Experience in a programming language (Python, Java, C++, or R) is another key consideration.\r\r\n</li><li>The candidate must also possess the ability to respond to time-critical inquiries from management and must be able to engage with market participants on various aspects of our models and applicability of the service to suit their business needs.\r\r\n</li><li>The flexibility to adapt to changing requirements is also essential.\r\r\n</li></ul>, <p><b>Duties and Responsibilities\r\r\n</b></p>, <ul><li>Collaborating with a team of skilled quantitative analysts and data scientists supporting our business development efforts with an exciting new set of products and services\r\r\n</li><li>Apply statistical and machine learning models to develop practical solutions supporting the financial marketplace\r\r\n</li><li>Gather data from various sources (SQL, Oracle or CSV files) and develop models using statistical packages found in R, Python or Excel/VBA\r\r\n</li><li>Work cross-functionally across the organization, effectively collaborating and communicating, in order to achieve business objectives\r\r\n</li><li>Support sales and product teams by discussing models and methodology with clients\r\r\n</li><li>Contribute to the shared learning and growth of the R&D organization, leveraging creativity and discipline to efficiently solve critical business problems\r\r\n</li><li>Lead initiatives where independent research and modeling is required to pitch concepts to a broader group\r\r\n</li></ul>, <p><b>Knowledge and Experience\r\r\n</b></p>, <ul><li>Qualifications/education: Bachelor’s Degree Required\r\r\n</li><li>Experience in modeling behavior of financial instruments by either statistical and/or machine learning methods.\r\r\n</li></ul>, <ul><li>Excellent analytical, verbal and written communication skills\r\r\n</li><li>Proficient in practical applications of statistical methods and quantitative methods\r\r\n</li><li>Experience retrieving data from structured databases (SQL/Oracle) and flat csv files\r\r\n</li><li>Proficient in a general purpose programming language such as Python or Java with the ability to learn other languages as needed\r\r\n</li><li>Comprehensive understanding of financial markets, valuation concepts and financial products\r\r\n</li><li>Independent self-starter while being a team player with the willingness to take direction from management\r\r\n</li><li>Capable of working the hours necessary to achieve daily objectives\r\r\n</li><li>Strong communication and analytical skills to clearly express ideas and specify product or model requirements when collaborating with our development teams\r\r\n</li></ul>, <p><b>Core Competencies\r\r\n</b></p>, <p>Competencies are the skills and behaviors that are critical both to your personal performance and to ICE’s continued success. The core competencies apply to every member of staff working for ICE.\r\r\n</p>, <p><b>Teamwork\r\r\n</b></p>, <ul><li>Offers time and/or assistance to colleagues; is widely regarded and respected as someone to go to for help\r\r\n</li><li>Fosters friendly and cooperative relationships with others; colleagues enjoy working with the\r\r\n</li><li>employee\r\r\n</li><li>Shares knowledge and mentors staff; works to develop others’ knowledge as well as own\r\r\n</li><li>Gives and shares credit as appropriate\r\r\n</li><li>Contributes to recruiting and training efforts of others, including candidate referrals, job interviews and mentoring\r\r\n</li><li>Attends and participates in company and department level functions inside and outside of the office\r\r\n</li></ul>, <p><b>Problem-Solving & Decision-Making\r\r\n</b></p>, <ul><li>Demonstrates an understanding of the urgent nature of our business and the need to proactively find and fix problems quickly and effectively takes ownership and follows through on decisions; doesn’t minimize or forget about problems\r\r\n</li><li>Determines and fixes root causes rather than just treating symptoms\r\r\n</li><li>Applies novel techniques to solve problems that are more ambiguous; challenges long-held beliefs when necessary\r\r\n</li><li>Quickly and effectively identifies alternative solutions and the pros/cons of each; confirms that a proposed solution has no unintended consequences\r\r\n</li><li>Takes steps to mitigate risk\r\r\n</li><li>Consults with colleagues and recommends solutions based on the best interests of customers and shareholders, even when the opinion is unpopular\r\r\n</li></ul>, <p><b>Communication\r\r\n</b></p>, <ul><li>Actively listens and speaks to, not over, others\r\r\n</li><li>Uses clear and constructive language orally and in writing\r\r\n</li><li>Communicates important developments to the relevant and appropriate audiences in a timely and consistent manner\r\r\n</li><li>Asks follow-up questions to ensure all points are understood\r\r\n</li><li>Takes time to objectively listen to all viewpoints before forming an opinion\r\r\n</li><li>Builds consensus among differing views\r\r\n</li></ul>, <p><b>Professionalism & Integrity\r\r\n</b></p>, <ul><li>Makes a positive impression; represents the company well on the phone and in person, including maintaining attire and appearance that is consistent with company image and appropriate for employee’s role\r\r\n</li><li>Models a ‘can-do’ attitude and takes initiative as a self-starter; inspires and motivates others to do the same\r\r\n</li><li>Embraces, rather than resists, additional responsibilities\r\r\n</li><li>Refrains from office gossip; settles rather than creates conflict with and between others\r\r\n</li><li>Exhibits desired work habits including regular office hours and extra hours when necessary while minimizing breaks and non-work related activities\r\r\n</li><li>Adheres to all corporate policies; makes prudent use of company resources</li></ul>]
## 87 [<p><b>Palo Alto Networks®</b> is the next-generation security company, leading a new era in cybersecurity by safely enabling applications and preventing cyber breaches for tens of thousands of organizations worldwide. If you are motivated, intelligent, creative, hardworking and want to make an impact, then this job is for you!</p>, <p>\r\r\nOur Summer Internship Program (May-August) or (June-September) provides you:</p>, <ul><li>\r\r\n1:1 mentorship</li><li>\r\r\nFun and engaging events that inspire your intellectual curiosity</li><li>\r\r\nOpportunities to expand your knowledge and work on challenging projects</li><li>\r\r\nConnections to other interns, recent grads, and employees across the company as well as our leaders.</li></ul>, <p>\r\r\nThe Palo Alto Networks Data Science team uses data science and machine learning to solve problems throughout the company. In the words of one of our members: “we develop machine learning based highly scalable solutions to address cyber security challenges.” We are looking for a talented and motivated intern that can turn into a full-time member of our team after they graduate.</p>, <p>\r\r\nPast projects include building a learning algorithm in Hadoop, setting up a pipeline that classifies over 1M webpages a year, building a classifier to detect malicious Javascript pages and upgrading a production text classification system from Naïve Bayes to RNNs.</p>, <p><b>\r\r\nLearning Opportunities:\r\r\n</b></p>, <ul><li>You will learn to apply Machine Learning in a production environment</li><li>\r\r\nYou will be exposed to research related to security and malware.</li><li>\r\r\nYou will work on large Hadoop and/or Spark clusters on petabytes of data</li></ul>, <p><b>\r\r\nSkills:</b></p>, <p><b>\r\r\nThe successful applicant should…</b></p>, <ul><li>\r\r\nBe an excellent programmer; experience with distributed systems like Hadoop or Spark a big plus</li><li>\r\r\nHave a strong working knowledge of machine learning algorithms that may include Naïve Bayes, Decision Trees, SVM, Logistic Regression, Deep Learning, and Boosting</li><li>\r\r\nBe comfortable working independently, be able to produce something impressive in one summer, have the ability to come up with novel solutions to difficult problems</li></ul>, <p><b>\r\r\nRequirements – </b>To apply, you must be pursuing a 4-year Undergraduate Degree, a 2-year Master’s Degree or a Doctorate degree and returning to school in the fall. You must have authorization to work within the United States.</p>, <p>\r\r\nLearn more about Palo Alto Networks here and check out our fast facts</p>]
## 88 [<ul><li><b>Business Partnership</b>: Translates business needs into established business goals and measures of success. Delves deeply into a varying array of large data sources, determining the appropriate data for the analysis to be performed, discovering issues, identifying potential uses, and preparing for analysis.\r\r\n</li><li><b>Data Management</b>: Works with and streamlines established data warehouses, initiates new development of databases, production data, and available tools to build strategic datasets in support of key initiatives. Establishes and systematically performs processes to assess and validate data accuracy.</li>\r\r\n<li><b>Advanced Analytics:</b> Under limited supervision, ascertains and executes plans to build, implement and maintain predictive models using available tools and programming languages. Monitors and provides feedback on model performance and recalibrates model as necessary.</li>\r\r\n<li><b>Project Management:</b> Independently gathers requirements from appropriate business partners for project, including necessary data for analysis to be performed. Develops project plans, executes on deliverables within agreed upon timeframes, manages deadlines, communicates progress and makes recommendations to address issues.</li>\r\r\n<li><b>Communication:</b> Communicates results and subsequent implications to peers and business partners, summarizing analysis findings, in order to build a business case.\r\r\n</li><li>Performs other duties as assigned.</li>\r\r\n</ul>, <ul><li>Ability to build and maintain solid working relationships across the organization.</li>\r\r\n<li>Excellent problem solving, time-management, and task prioritization skills.</li>\r\r\n<li>Attention to detail, ability to multi-task and adapt quickly to change.\r\r\n</li><li>Ability to explain issues and concepts, either verbally or in writing.\r\r\n</li><li>Ability to work independently with limited supervision.</li>\r\r\n<li>Team Oriented and able to work well with all levels of employees.</li>\r\r\n<li>Strong communication skills.</li>\r\r\n<li>Able to multi-task and easily transition from one project to another.</li>\r\r\n</ul>, <ul><li><b>Must Haves</b></li>\r\r\n<li>At least 1 year of professional experience with a relational database management system (i.e. SQL)</li>\r\r\n<li>At least 1 year of professional (business or academic research) experience in Python or R with a primary focus of applying predictive analytics to very large datasets. (i.e. predictive modeling, machine learning)</li>\r\r\n<li>Advanced Degree in analytically based field, including, but not limited to, a Master’s Degree in Applied Mathematics, Statistics, Computer Science, Bioinformatics.</li>\r\r\n<li>The ability to work at our Facility and maintain our regular work schedule of Monday through Friday, 8:00 am- 5:00 pm.\r\r\n</li><li>The ability to perform other duties as assigned.</li>\r\r\n<li><b>Really Like To Have</b></li>\r\r\n<li>At least 1-year of experience in the insurance or healthcare industry.</li>\r\r\n<li>PhD in an advanced analytical field.</li>\r\r\n</ul>, <ul><li><b>EDUCATION REQUIREMENTS</b></li>\r\r\n</ul>, <ul><li><b>PHYSICAL REQUIREMENTS ESSENTIAL TO PERFORM THE DUTIES OF THE JOB</b></li>\r\r\n</ul>, <ul><li>Frequently remains in sitting position for long periods of time to perform duties.\r\r\n</li><li>Frequently concentrates for long periods of time, paying close attention to detail.\r\r\n</li><li>Frequently uses and views the computer using fingers, hands, and vision.</li>\r\r\n<li>Frequently works in a well-lit, tempered environment.\r\r\n</li><li>Frequently utilizes mental capabilities to identify, evaluate, and assimilate information.</li>\r\r\n<li>Occasionally walks though office to communicate with other employees.\r\r\n</li><li>Seldom lifts objects with weight up to (twenty-five (25) pounds such as files or paper boxes.<br/>\r\r\n</li></ul>]
## 89 [<ul><li>\r\r\nIdentifying, structuring, and integrating internal and external datasets and processes to unlock the potential of the data.</li><li>\r\r\nDeveloping dashboards, reports, and analytical insights to support the effective delivery of health care services and improve outcomes for our members.</li><li>\r\r\nWorking with the data scientist team to build foundational data plumbing at a growing company.</li></ul>, <ul><li>\r\r\nYou are eager to learn what you don’t know yet and build your own knowledge base.</li><li>\r\r\nYou’re a roll up your sleeves and jump right in kind of person.</li><li>\r\r\nYou believe that data science is a team sport.</li><li>\r\r\nYou’re fast hands on keys in finding clever solutions to problems and iterating from there.</li></ul>, <ul><li>\r\r\n3-5 years of total experience</li><li>\r\r\nSome experience with Python and/or SQL and a desire to build up your own skills in these languages.</li><li>\r\r\nSome experience with Amazon Web Services.</li><li>\r\r\nSome experience working with diverse and messy data sets.</li><li>\r\r\nSome experience communicating data and technical analyses to non-technical audiences</li><li>\r\r\nWe are not able to provide work sponsorship or visa transfer at this time</li></ul>]
## 90 [<p><b>Job Title:</b> Data Scientist\r\r\n</p>, <p><b>Position Summary:\r\r\n</b></p>, <p>The Data Scientist will be responsible for providing data mining and analysis support to Caris R&D for novel diagnostic biomarker discovery, companion diagnostic test development and validation, maintaining data processing pipelines and developing/documenting analysis tools. The successful candidate will possess proficient analytical capability, solid scientific background in cancer biology or mathematics, and strong communication skills.\r\r\n</p>, <p><b>Job Responsibilities:\r\r\n</b></p>, <ul><li>Perform statistical analysis and develop analytical tools for clinical and laboratory research data.\r\r\n</li><li>Statistical consulting in experiment design and data interpretation in technology development and biomarker discovery.\r\r\n</li><li>Statistical support for design and development of quality control process for diagnostic assays and products.\r\r\n</li><li>Manipulate and process large multi-source data sets.\r\r\n</li><li>Respond to and manage ad hoc requests to ensure accurate, in-depth results/data are delivered in a timely manner.\r\r\n</li><li>Author statistical analysis plans, protocols and reports for clinical and non-clinical evaluations.\r\r\n</li><li>Review clinical study reports for statistical content.\r\r\n</li><li>Provide general informatics support for laboratory research, technology development and clinical studies.\r\r\n</li></ul>, <p><b>Requirements:\r\r\n</b></p>, <ul><li>Ph.D. with 1 - 3 years of relevant experience in Bioinformatics, Biostatistics, or a related field with a significant quantitative base.\r\r\n</li><li>Ability to understand scientific questions and formulate statistical and data analysis methods to provide solution to novel problems.\r\r\n</li><li>Ability to query complex data from database.\r\r\n</li><li>Proficient verbal and written communication skills to explain complex technical details in clear language.\r\r\n</li><li>Proficiency in R, Python, SQL, and Linux.\r\r\n</li><li>Commitment to the successful achievement of team and organizational goals through a desire to participate with and help other members of the team.\r\r\n</li><li>Demonstrate a focus on listening to and understanding user needs and then delighting the customer by exceeding service and quality expectations.</li></ul>]
## 91 [<p>Become one of the stars behind the show and become part of the world’s most powerful entertainment brands. Our Company has one exciting mission: <b><i>To entertain the human race </i></b>.\r\r\n</p>, <p>It is the primary responsibility of Advanced Analytics Modeler who focuses on Optimization or Statistics to support the Executive Director of Advanced Analytics in managing and developing analytics solutions to improve marketing and business decisions across MGM Resorts International's casinos and resorts.\r\r\n</p>, <p>Primary role of Advanced Analytics Modeler who focuses on Optimization or Statistics is to provide hands-on experience for the development of analytics models (Statistics Models or Optimization Models), analytics solutions, and analytics technology integration. The successful candidate will provide ideas and solutions for the analytics team, as well as coordinate with I.T. and other marketing teams to ensure project delivery. The candidate will also provide recommendations based on analytics results.\r\r\n</p>, <p>Analytics Process Design\r\r\n</p>, <ul><li>Identify business needs and propose potential analytics approaches for solutions.\r\r\n</li><li>Develop and tune high performance analytics models solutions used by analytics team.\r\r\n</li><li>Evaluate analytics solutions and their performance.\r\r\n</li><li>Define internal business processes and information required to support those processes.\r\r\n</li><li>Troubleshoot and deploy application of analytics products.\r\r\n</li></ul>, <p>Analytics Models Development\r\r\n</p>, <ul><li>Develop, test, and deliver statistical, segmentation, and/or optimization models to improve marketing ROI. This requires experience on analytical tools such as SAS Enterprise Guide, SAS Enterprise Miner, R within SQL or Teradata environment.\r\r\n</li><li>Develop and integrate advanced analytics, predictive analytics and/or decision analytics optimizing marketing efforts.\r\r\n</li><li>Create customized tools for customer scoring, classifications, campaigns evaluation, and business evaluation reports.\r\r\n</li><li>Provide customer insights and corresponding marketing actions through statistics models, machine learning algorithm and/or optimization models.\r\r\n</li></ul>, <p>Project Management\r\r\n</p>, <ul><li>Utilize project management, analytical expertise to improve internal performance.\r\r\n</li><li>Manage processes and timelines to facilitate the development, deployment, and enhancements of analytics projects.\r\r\n</li><li>Collaborate with other analysts to define, communicate, and document on project development.\r\r\n</li><li>Take projects from ideation to create a solution package; complete with detailed description, business requirements, ROI and operational plan; develops alternative courses of action and makes timely decisions based on logical assumptions and factual information.\r\r\n</li><li>Provide junior mentorship to analysts to lift skills around accelerated delivery of new capabilities.\r\r\n</li><li>Perform other job related duties as requested.\r\r\n</li></ul>, <p><b>Required:\r\r\n</b></p>, <ul><li>Bachelor’s Degree in one of the following: Computer Science, MIS, Industrial Engineering, Statistics or related field or comparable work experience.\r\r\n</li><li>At least 3 years of experience with SQL or Teradata databases development.\r\r\n</li><li>Excellent customer service skills.\r\r\n</li><li>Have interpersonal skills to deal effectively with all business contacts.\r\r\n</li><li>Professional appearance and demeanor.\r\r\n</li><li>Work varied shifts, including weekends and holidays.\r\r\n</li><li>High school diploma or equivalent.\r\r\n</li><li>Able to effectively communicate in English, in both written and oral forms.\r\r\n</li></ul>, <p><b>Preferred:\r\r\n</b></p>, <ul><li>Master’s Degree in Computer Science, MIS, Marketing Research, Business Administrations (MBA), Statistics, Industrial Engineering, Statistics or related field.\r\r\n</li><li>At least 3 years of experience in data analytics environment.\r\r\n</li><li>Previous experience managing analytics projects.\r\r\n</li><li>Previous experience working in a similar resort.\r\r\n</li></ul>, <p>#LI-DR1</p>]
## 92 [<ul><li>Aggregates and analyzes data to identify behaviors and forms of recognition/motivation to drive financial benefits to employees and the company.</li><li>\r\r\nAids/enables revenue growth, profitability, and performance management; supports dialogue with product, marketing, LD, and/or IT. Adheres to national measurement standards and world class sales performance reporting.\r\r\n</li><li>Designs models for behavioral and financial forecasting to reach actionable conclusions.</li><li>\r\r\nBuilds trend and variability analyses, identifies correlation and/or causality, assists the proper training and usage of reports and data analysis to drive sales.\r\r\n</li><li>Prepares compelling and comprehensible visualization to assist with leadership coaching, business reviews, and strategic decision making. Automates visualization process for standardization and replication.</li><li>\r\r\nIdentifies and advocates for areas of improvement in data rigor, collection, use, and visualization.\r\r\n</li><li>Provides ad-hoc reporting and analysis.</li><li>\r\r\nPerforms other duties as assigned.<br/>\r\r\n</li></ul>, <ul><li>\r\r\nProficiency in SQL</li><li>\r\r\nMastery of MS Office (full suite), especially Excel (Macros, VBA, Power Pivot) and PowerPoint</li><li>\r\r\nExperience with analytics and BI tools (such as R, Python and Tableau)</li><li>\r\r\nExperience with statistical methods and models, including testing, forecasting, and modeling</li><li>\r\r\nAbility to simplify and explain complex, technical topics to a non-technical, time-constrained audience</li><li>\r\r\nBias for action and awareness of sales-based needs in a highly competitive environment</li><li>\r\r\nHighly adaptive to changing priorities</li><li>\r\r\nStrong work ethic, ownership of delivery and attention to detail/ accuracy</li><li>\r\r\nDesire to grow in an analytics</li></ul>]
## 93 [<ul><li>Develop, enhance and operationalize the key statistical models we use on a regular basis to understand prospect behavior to inform the development of strategic KPIs.</li></ul>, <ul><li>Apply predictive analytics to build optimization models with minimal oversight</li><li>Apply statistical methodologies to large, complex data sets</li><li>Building projections/forecasts and articulating the methods, formulas, and assumptions</li><li>Building mathematical models that support business efficiency initiatives</li><li>Foster relationships with key cross-functional partners and internal stakeholders; establish strong partnerships to obtain desired results on behalf of the team</li><li>Explaining complex formulas to others who may not be experts in mathematics/ statistics. Communicate findings in a business context to stakeholders at various business and technical skill levels.</li><li>Apply statistical techniques and mathematical skills to assess the probability of events and the financial and operational impacts to the business at an enterprise level</li><li>Aid in data-driven decision making paired with forward-thinking business and industry trends. Participate in and prepare for sessions to identify the action-oriented hypotheses</li><li>Effectively communicate methodologies, insights, and recommendations to leadership</li><li>Create executive-level presentations and present complex analytics in a clear and concise manner</li><li>Partner with upstream data suppliers and analytics partners to continuously increase efficiency from raw data extraction to insights and data-driven decisions</li></ul>, <ul><li>2+ years of progressive experience in advanced analytics required</li><li>Bachelor’s degree in Data Science, Mathematics, or Statistics required. Master’s preferred</li><li>Proven experience with data mining, cleansing and manipulations, variable transformations, linear and non-linear multi-variable regression analysis, K-mean and hierarchical cluster analysis, discrete and continuous probability distributions, systems of equations and numerical analysis</li><li>Proven exp using the cloud to do large computations</li><li>Proven exp joining large data sets from various repositories</li><li>Proven experience with 1 or more statistical programming languages: R, Python, Matlab, SAS.</li><li>Experience with queries to extract and transform data from multiple data sources, including Oracle, Teradata, and SQL Server</li><li>Experience utilizing Excel, PowerPoint, and other MS Office software</li><li>Experience with 1 or more statistical analysis software: Minitab, Stata, SPSS, APT</li><li>Knowledgeable about digital, E-commerce, marketing a plus</li></ul>]
## 94 [<p>With demand sensing, OM Partners is breaking through some boundaries of classical demand forecasting. The use of state of the art techniques like machine learning and neural networks allow for a step change in forecast accuracy, driving immediate value creation for our customers. By using these innovative functionalities, they are able to adjust their supply plans faster and more accurate.\r\r\n</p>, <p>Are you ready to join the demand driven revolution in supply chain? Are you passionate about finding patterns and correlations? Then apply for the position of (Senior) Data Scientist and join our product development team.</p>, <p>As a Data Scientist, you have only one aim: to provide innovative solutions for the customers’ challenging analytics and forecasting needs.</p>, <ul><li>You analyze their needs, design a prototype, develop the model and optimize your solution.</li>\r\r\n<li>You support the customer throughout the entire implementation schedule.</li>\r\r\n<li>You work in close collaboration with the customer’s project team and you consultant colleagues working on the same project.\r\r\n</li></ul>, <p>Next to the project work you will be responsible for the design of solutions and the development of the products. You ensure that high-quality, well-tested and documented solutions are delivered.\r\r\n</p>, <p>Your challenge is to collect and formulate the business requirements and translate them into functional requirements that can easily be fed into a technical design. Therefore, you work in close collaboration with the product manager and software engineers.\r\r\n</p>, <p>You continuously improve the solutions and develop new functionalities.\r\r\n</p>, <ul><li>You validate these solutions and functionalities with the different stakeholders.</li>\r\r\n<li>You implement and test the developments.\r\r\n</li></ul>, <p>Finally, you document the tools, and train and support your colleagues in the usage of the Solution. You participate in pre-sales to demonstrate functionality that meets the prospects goals and objectives.\r\r\n</p>, <p>Strong analytical skills and problem solving abilities, complemented with a university degree, are indispensable in this job.\r\r\n</p>, <p>You have an entrepreneurial mindset in looking for innovative solutions for our customers’ analytics and forecasting problems.\r\r\n</p>, <ul><li>You are passionate about finding patterns and looking for correlations in big datasets.\r\r\n</li><li>You take incomplete data as a challenge and use qualitative techniques to bridge the gap.\r\r\n</li></ul>, <p>A solid background in applied statistics (distributions, statistical testing, confidence intervals, machine learning, time series, …) is required.\r\r\n</p>, <ul><li>You have practical experience with time series analysis and forecasting (exponential smoothing, multivariate regression, ARIMA, …) to solve real-life business problems.\r\r\n</li><li>You benefit from having experience in analyzing and implementing forecasting processes, as well as having working experience as an analyst or consultant for large multinational organizations.\r\r\n</li></ul>, <p>You are familiar with a statistical scripting language, preferably R. Basic knowledge of relational databases and SQL are a plus.\r\r\n</p>, <p>You can present findings clearly to a non-technical audience, using different visualization techniques.</p>, <p>You have an excellent command of at least two languages (Dutch, French, English or German).\r\r\n</p>, <p>You are able to work autonomous and project based.\r\r\n</p>, <p>OM Partners is a <b>software </b>and <b>consulting </b>company focused on <b>Supply Chain Planning</b>. As a company we have but one mission: to optimize our customer’s supply chain. We pride ourselves on developing innovative Advanced Planning Systems (APS) that meet and exceed expectations. Our customer base includes leading companies in different industries, such as ArcelorMittal, BASF, Dow, Johnson & Johnson, Michelin, Shaw, Procter & Gamble and Smurfit Kappa.</p>, <p>Are you the right person for the challenge?</p>]
## 95 [<ul>\r\r\n<li>Minimum of 2 years’ experience in health care, outcome research CPG or financial industries</li>\r\r\n<li>Previous hands-on experience in data analytic projects to address questions in the healthcare</li>\r\r\n<li>Minimum three years of experience in SAS or Python</li>\r\r\n<li>Prior quantative research experience are preferred</li>\r\r\n</ul>, <ul>\r\r\n<li>Priror SAS, Python or R programming experience preferred</li>\r\r\n<li>Experience in consumer healthcare and EMR datasets</li>\r\r\n<li>Exposure to issues and approaches in storing, accessing and optimizing large data sources, including preferred experience with SQL</li>\r\r\n</ul>]
## 96 [<p>Since 1851, MassMutual’s commitment has always been to help people protect their families, support their communities, and help one another. This is why we want to inspire people to Live Mutual. We’re people helping people.</p>, <p>\r\r\nA career with us means you will work alongside exceptional people and be empowered to reach your professional and personal goals. Our employees are the foundation of what makes MassMutual a strong, stable and ethical business. We seek and value unique and varied perspectives and experiences because we believe we are stronger when all voices are heard. We invite you to bring your bright, innovative ideas to MassMutual as we continue to help millions of Americans rely on each other.</p>, <p>\r\r\nTogether, we’re stronger.</p>, <p>\r\r\nJob Description</p>, <ul><li>Bachelor's Degree in Computer Science, Statistics, Mathematics, Physics or related discipline</li><li>Solid quantitative, statistical, computational and technical skillsWorking proficiency in at least one programming language such as R, Python or SQL</li><li>Demonstrated work experience through part time employment, internships, or professional endeavors</li><li>Research and/or practical experience in related fields</li><li>Ability to provide evidence of technical proficiency that could form the basis of fundamental data science skills</li><li>Ability to take graduate level courses concurrent with a full-time work schedule</li><li>Ability to function well in unstructured environments, working with challenging problems</li><li>Self-motivated, enthusiastic learner</li><li>Ability to work and contribute in a collaborative work spaceStrong communication skills</li><li>Leadership and community involvement</li></ul>, <ul><li>Application Deadline: Oct 12, 2018</li><li>Full-time positions start June 10, 2018</li></ul>, <p>\r\r\nRanked No. 93 in the annual FORTUNE ® 500 Ranking (FORTUNE ® Magazine, June 2018) and recognized as a World’s Most Ethical Company by Ethisphere, MassMutual is guided by a single purpose: We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It’s more than our company structure – it’s our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual.</p>, <p><b>\r\r\nCORE VALUES</b></p>, <p><b>\r\r\nFocus on the Customer:</b> We understand our customers well and look for every opportunity to deliver an experience that is clear, easy, personal, human, empowering and trustworthy.</p>, <p><b>\r\r\nAct with Integrity: </b>We deliver on our promises by being open, honest and humble and by adhering to the letter and spirit of applicable laws, rules, regulations and company policies.</p>, <p><b>\r\r\nValue People: </b>We respect and learn from each other’s diverse backgrounds, experiences and ideas. We engage and develop people to their greatest potential.</p>, <p><b>\r\r\nWork Collaboratively:</b> We work together to achieve results by actively listening, seeking, understanding and creating solutions as a unified team driving toward one company, one culture, one brand.</p>, <p><b>\r\r\nAchieve Results: </b>We focus on winning by exceeding expectations and getting better – everyone, every day.</p>, <p>\r\r\nFor more information, visit www.massmutual.com or find us on Facebook, Twitter, LinkedIn, YouTube, Google+, Instagram and Pinterest.</p>, <p><i>\r\r\nMassMutual is an Equal Employment Opportunity employer </i><i>Minority/Female/Sexual</i><i> Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. </i><b><i>Note: Veterans are welcome to apply, regardless of their discharge status.</i></b></p>]
## 97 [<p>Do you want to build your personal brand with an industry-leading innovator that is always thinking outside the box? Does the box bore you? Do you want to leverage your analytic skills to tackle and solve difficult, seemingly impossible problems in a dynamic and growing industry? FourthWall Media is seeking junior to mid-level data analysts to expand its data analytics products and services.</p>, <p>\r\r\nThis vital role works closely with data scientists and developers to discover insights within massive demographic, TV viewing, and advertising datasets and translate those insights into analytics products and business intelligence for FourthWall’s clients.</p>, <p>\r\r\nThis non-traditional data analyst role requires inquisitiveness bound by pragmatism and cross-disciplinary skills to translate mathematical and statistical exploration into hands-on interaction with existing data systems. Perfectionism and attention to detail are required. Communication with co-workers, both to understand and to explain, is paramount.</p>, <ul><li>\r\r\nExploration, analysis, modeling, mining, profiling and cleansing of large and interesting datasets</li><li>\r\r\nSearching for key insights, trends, flaws, and value in the data</li><li>\r\r\nWorking with the data flow team to enhance quality and coverage</li><li>\r\r\nWorking with R&D to develop new analytics processes and prototypes</li></ul>, <ul><li>\r\r\nExcellent written and verbal communication skills are required</li><li>\r\r\nSelf-motivating inquisitiveness, the ability to focus on complexity, and the tenacity to tackle seemingly impossible problems are required</li><li>\r\r\nBachelor’s degree (B.S.) from four-year college or university with a preference in computer science, mathematics or statistics</li><li>\r\r\nExperience with Python is required</li><li>\r\r\nExperience with Hadoop, Hive, SQL, Theano, Tensorflow, Keras, Pandas, Scikit-Learn, R and Mathematica are preferred</li><li>\r\r\nxperience with television and/or advertising data ecosystems (DMPs, DSPs, media buying platforms, analytics platforms) is a plus</li><li>\r\r\nA minimum of 1 years experience in a professional, technical workplace</li></ul>]
## 98 [<p><b>WHY CATALINA\r\r\n</b></p>, <p>Catalina’s personalized digital media connects shoppers to the brands we know they want. We do this by delivering only the most relevant ads and offers from their home to the aisle. And only Catalina knows the evolving purchase history and individual needs of more than three-quarters of (280 million) American shoppers. With the world’s largest shopper purchase history database driving all personalized media across our networks, Catalina drives lift and loyalty for the world’s leading CPG brands and retailers. We target consumers with the right behavior-based message when it’s most impactful via the channel that’s most likely to reach them — digital or in the store.\r\r\n</p>, <p><b>OUR TEAM\r\r\n</b></p>, <p>The Brand Analytics Solutions team works cross-functionally to deliver meaningful solutions to clients’ needs by leveraging cutting-edge data science techniques such as data integration, data mining, and machine learning. We combine brand expertise and creativity with statistical analysis and automation to produce actionable, client-ready results. We are continuously learning new techniques to stay ahead of the curve and interact with many different stakeholders, including the client and our internal sales, analytics, technology, and operations teams.\r\r\n</p>, <p>This position reports to the Principal Data Scientist of Brand Analytics Solutions.\r\r\n</p>, <p><b>WHAT YOU WILL BE DOING\r\r\n</b></p>, <ul><li>Work on moderate to complex projects that require a singular area of expertise.\r\r\n</li><li>Lead project planning sessions with users, business analysts, and team members to gather and analyze user requirements. Develop recommendations.\r\r\n</li><li>Formulate mathematical models in an appropriate programming language or application.\r\r\n</li><li>Analyze raw input data from computer or other media.\r\r\n</li><li>Validate and test models to ensure adequacy or determine need for reformulation.\r\r\n</li><li>Utilize and stay current on applicable programming languages and software technologies.\r\r\n</li><li>Track progress and report out to stakeholders.\r\r\n</li><li>Know what quality means, strive for quality, design for quality, test and refine until a very high quality is achieved, and continuously improve.\r\r\n</li><li>Deliver prototypes / proofs of concept.\r\r\n</li><li>Recommend plans to bring to production.\r\r\n</li><li>This is a skilled position with minimal supervision required (supervision by manager a couple of times per week).\r\r\n</li></ul>, <p><b>WHAT YOU BRING TO THE TEAM\r\r\n</b></p>, <ul><li>Ph.D. in machine learning, computer science, engineering, mathematics, statistics, operations research, or related discipline; <b>OR\r\r\n</b></li><li>Masters degree in (same disciplines mentioned above) <b>AND </b>2+ years experience after graduate school in computation, data science, machine learning or related; <b>OR\r\r\n</b></li><li>Bachelor degree <b>AND </b>4+ years experience\r\r\n</li></ul>, <ul><li>Experience with\r\r\n<ul><li>Statistical programming in R and Python\r\r\n</li><li>SAS E-Guide and E-Miner\r\r\n</li><li>Advanced SQL queries on big data\r\r\n</li><li>Building machine learning algorithms\r\r\n</li><li>Learning new data science techniques\r\r\n</li></ul></li><li>Good communication and presentation skills\r\r\n</li><li>Ability to work well in a team environment\r\r\n</li></ul>, <ul><li>Statistical programming in R and Python\r\r\n</li><li>SAS E-Guide and E-Miner\r\r\n</li><li>Advanced SQL queries on big data\r\r\n</li><li>Building machine learning algorithms\r\r\n</li><li>Learning new data science techniques\r\r\n</li></ul>, <p><b>ADDITIONAL PREFERRED SKILLS\r\r\n</b></p>, <ul><li>Experience in the CPG industry\r\r\n</li></ul>, <p><b>CATALINA CORE VALUES\r\r\n</b></p>, <ul><li><b>Be a trusted partner </b>: Act with integrity and positive intent\r\r\n</li><li><b>Focus on the customer: </b>Keep the needs of both internal and external customers as well as consumers front and center\r\r\n</li><li><b>Act like an owner: </b>Think holistically about how your role helps fulfill our Mission\r\r\n</li><li><b>Be innovative: </b>Share and scale the best ideas regardless of origin\r\r\n</li><li><b>Strive for simplicity: </b>Add meaning and eliminate complexity\r\r\n</li><li><b>Value personal and professional growth: </b>Contribute to an environment that enables individual, team and organizational success\r\r\n</li></ul>, <p><i>The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform other job-related tasks other than those specifically presented in this description.<br/>\r\r\n</i><br/>\r\r\n</p>, <p><i>All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.<br/>\r\r\n</i></p>, <p><br/>\r\r\n<i>We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.\r\r\n</i></p>, <p><b>Note to Recruiters and Placement Agencies </b>: We do not accept unsolicited resumes from outside recruiters /placement agencies. Catalina will not pay fees associated with resumes presented through unsolicited means.</p>]
## 99 [<p>You will be a member of the Marketing & Customer Insights organization and work closely with analysts and technology teams at Adobe to build new analytics tools and capabilities that ultimately support driving awareness of and demand for Adobe’s Enterprise offerings. You will perform exploratory analysis on reams of digital marketing data to recommend analyses for benchmarking and press usage. This role will require you to surface new signals, trends and insights based on customer and prospect data (structured and unstructured), and translate proofs of concept into scalable products via the Infrastructure team.\r\r\n</p>, <p>We’re looking for someone who is comfortable working in a fast-paced environment and can adapt to shifting conditions, priorities, and deadlines, is meticulous and detail-oriented, and is a self-starter. This person will develop and prescribe the processes by which aggregate and anonymous digital data can be shared with customers, the press and Marketing and Sales functions. You will interact with internal users to define, synthesize and prioritize data & system requirements and work with engineering groups to assess the feasibility of potential approaches.\r\r\n</p>, <p>At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world by numerous “best places to work” awards. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to build your career, Adobe’s the place for you. Every day, we get to work with some of the most creative, analytical, authentic and inspiring people in the world.\r\r\n</p>, <p>What you need to succeed:\r\r\n</p>, <ul><li>8+ years of work experience.\r\r\n</li><li>Exceptional analytical and quantitative problem-solving skills, including conducting research, analyzing data, developing hypotheses, and synthesizing recommendations.\r\r\n</li><li>Use analytical approaches to real business situations - the data is messy, inputs are different, and there are lots of nuances.\r\r\n</li><li>Ability to communicate complex ideas effectively both verbally and in writing to all types of functions and levels within the organization\r\r\n</li><li>Ability to effectively prioritize, manage a product roadmap and build a long-term vision.\r\r\n</li><li>Ability to work collaboratively with cross-functional teams and manage multiple stakeholders\r\r\n</li><li>Familiarity with Agile Software Development.\r\r\n</li><li>Knowledge of machine learning and statistics, this includes test design for optimization and predictive analytics techniques - supervised and unsupervised learning.\r\r\n</li><li>Experience with R or Python.\r\r\n</li><li>Proficient in database querying (SQL, Qubole, or Hive) and working with Big data.\r\r\n</li></ul>, <p>Preferred but not essential\r\r\n</p>, <ul><li>Masters in Statistics, Economics, Computer Science, Mathematics or a relevant field.\r\r\n</li><li>Familiarity with Web Analytics / Click stream data, Adobe Analytics (Reporting API).\r\r\n</li><li>Work experience in a leading technology company, strategy consulting organization, digital agency, or corporate marketing department.\r\r\n</li></ul>, <p>At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists . You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.\r\r\n</p>, <p>If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.\r\r\n</p>, <p>Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age , sexual orientation, gender identity, disability or veteran status.</p>]
## 100 [<p><b>Regular or Temporary:\r\r\n</b></p>, <p><b>Language Fluency: </b>English (Required)\r\r\n</p>, <p><b>Work Shift:\r\r\n</b></p>, <p><b>Position is open to Wilson or Charlotte, NC.\r\r\n</b></p>, <p><b>Essential Duties and Responsibilities:\r\r\n</b></p>, <p>Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.\r\r\n</p>, <p>1. Perform data mining and aggregating, querying multiple data sources (Flat Files, Excel, Access, SQL Server, DB2, etc.). Data validation to ensure accuracy, quality and integrity. Analyze data and provide results to other analysts or management.\r\r\n</p>, <p>2. Strong knowledge/understanding of data concepts and able to develop queries for statistical modeling and pattern recognition.\r\r\n</p>, <p>3. Create business case/white papers, present findings and lead initiative to resolve.\r\r\n</p>, <p>4. Utilize PC and/or internal systems/software. Perform analysis, compile and prepare reports, graphs and charts of data developed for business need or risk mitigation analysis. Document and maintain statistics, records and reports that support various processes, parameter and risk mitigation decisions or refine quality control standards. May include the creation of financial and/or loss reports.\r\r\n</p>, <p>5. Utilize, consult on, and occasionally design and create database structures to efficiently store critical business historical data.\r\r\n</p>, <p>6. Comparative integration of forecasted data with actual results, culminating in business impact projections and post-implementation assessments.\r\r\n</p>, <p><b>Required Skills and Competencies:\r\r\n</b></p>, <p>The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\r\r\n </p>, <p>1. Bachelor’s degree (preferably graduate degree in a data science, statistics, mathematics, or operations research) or equivalent education and related training\r\r\n</p>, <p>2. One year of data mining/analysis experience.\r\r\n</p>, <p>3. Ability to work independently in a detailed and deadline-oriented environment.\r\r\n</p>, <p>4. Understanding of data concepts such as neural networks, machine learning, statistical modeling and pattern recognition. Experience with integrated data capture and database structure design.\r\r\n</p>, <p>5. Demonstrated ability to represent department in projects and lead initiatives (including all life-cycles of the defined project).\r\r\n</p>, <p>6. Demonstrated proficiency in data analysis tools such as Python, R, SAS, Tableau, SQL\r\r\n</p>, <p>7. Excellent interpersonal skills and the ability to communicate (verbal and written) clearly to internal and external clients.\r\r\n</p>, <p>8. Ability to perform complex and sophisticated investigations, statistical analysis, and to ensure data integrity when performing analysis.\r\r\n</p>, <p>9. Possess a strong sense of urgency, strong independent reasoning and analytical, organizational and operational skills. Ability to analyze, process, and communicate information timely and accurately.\r\r\n</p>, <p>10. Ability to travel, occasionally overnight.\r\r\n</p>, <p>Desired Skills:\r\r\n</p>, <p>1. One years of financial services industry experience\r\r\n</p>, <p>2. Strong knowledge of, and ability to apply various regulatory guidelines (includes one or more of the following): Regulation E, Regulation CC, Uniform Commercial Code (UCC), National Automated Clearing House (NACHA), Telephone Consumer Protection Act (TCPA), Visa rules, Identity Theft Red Flags, Regulation J, Office of Foreign Assets Control (OFAC), Bank Secrecy Act (BSA), Anti-Money Laundering (AML), Fair Credit Reporting Act (FCRA).\r\r\n</p>, <p>3. Familiarity with Six Sigma or Process Master Performance measurement methods (control charts, Pareto charts, diagrams).</p>]
## 101 [<ul><li>\r\r\nExplore experiment with a large number of datasets to draw insights and search for stories</li><li>\r\r\nModel and build algorithms on top of our vast number of datasets</li><li>\r\r\nAssist in designing tech infrastructure and data pipelines (ETL, data automation, data querying, etc.)</li><li>\r\r\nBuild tools to process, visualize, and analyze data</li><li>\r\r\nDesign and build data-driven software products</li><li>\r\r\nDeploy scalable solutions to a cloud-based infrastructure</li></ul>, <ul><li>\r\r\n1-3 years developing analytics projects</li><li>\r\r\nStrong written and verbal communication skills; thrive in a rapidly-evolving environment</li><li>\r\r\nIndustry experience with predictive modeling, databases, computational simulation, clustering, machine learning, and remote computing, e.g., Amazon AWS</li><li>\r\r\nExperience with Python (numpy, scikit, matplotlib, and pandas packages), SQL, bash, R, and other similar statistical computational environments</li><li>\r\r\nExposure to Javascript, HTML/CSS, XML, Hadoop, and parallel processing</li><li>\r\r\nMasters degree in quantitative, computation-focused research, or equivalent work experience</li><li>\r\r\nGood understanding of advertising technology and landscape, including external data providers and data management platforms</li></ul>]
## 102 [<p><b>Key Responsibilities</b></p>, <ul>\r\r\n<li>Collaborate with local informatics and research scientists to identify and understand their analytical and informatics needs and translate these into solutions.</li>\r\r\n<li>Independently design and develop business technology solutions to answer scientific or business questions through the integration, visualization, and analysis of data. Demonstrate proficiency across a range of technologies related to the storage, transfer, integration, visualization, and analysis of large and complex data sets.</li>\r\r\n<li>Understand the broad objectives of the project as well as his/her role in achieving those objectives, and modify approach when required.</li>\r\r\n<li>Learn, understand and master new methods and technologies, and act as a resource or mentor for others.</li>\r\r\n<li>Demonstrate knowledge of the pharmaceutical and healthcare business, and utilize this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions</li>\r\r\n<li>Effectively organize and present project objectives and progress. Contribute to technical publications and presentations.</li>\r\r\n<li>Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.</li>\r\r\n<li>Communicate and collaborate effectively with colleagues in varied scientific and technical roles.</li>\r\r\n<li>Be equally comfortable working independently and within a team depending on project needs.</li>\r\r\n<li>Present projects and systems in front of both scientific and technical audiences.</li></ul>, <ul><li>Bachelor’s Degree or equivalent education and typically 5-7 years of experience, Master’s Degree or equivalent education and typically 2-5 years of experience. Background in life sciences or work experience in the pharmaceutical industry preferred.</li>\r\r\n<li>Experience and/or education in bioinformatics / computational biology as well as software engineering.</li>\r\r\n<li>Proficiency in R and Python for both data analysis and software engineering, especially for the development of web applications (Shiny, Flask/Django, etc).</li>\r\r\n<li>Experience with relational (SQL) and document (NoSQL) database design, data modelling and data warehousing would be preferred.</li>\r\r\n<li>Ability to multitask and work within timelines.</li>\r\r\n<li>Demonstrated ability to learn, understand and master new technologies.</li>\r\r\n<li>Strong written and oral English communication skills.</li></ul>]
## 103 [<p>The Geospatial Data Science team in NREL’s Strategic Energy Analysis Center has an immediate opening for a Geospatial Data Scientist to pursue a cross-disciplinary research project in analysis and visualization of spatial and temporal data to help solve real-world energy system design problems. This position will focus on creating new capabilities to analyze scenarios and design solutions for complex challenges in sustainable energy development for a variety of clients, both within NREL and external to the laboratory. The successful candidate will help to develop analysis and visualization frameworks to model design problems that are inherently spatiotemporal in resource availability, energy distribution networks, and energy demand scenarios. Duties will include:\r\r\n</p>, <ul><li>Integrating multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis. These workflows will include the use of distributed computing and utilization of both cloud and high-performance parallel computing (HPC) resources.\r\r\n</li><li>Developing new methods to help researchers, clients, and stakeholders analyze and evaluate design strategies to implement sustainable energy solutions at various geographic and temporal scales.\r\r\n</li><li>Modeling complex systems by integrating large spatiotemporal datasets of economic, demographic and energy related information.\r\r\n</li><li>Creating visualization interfaces that enable real-time examination of design scenarios, both in-person in state of the art visualization labs, as well as remotely through web-based frameworks to allow for design processes by stakeholders around the world.\r\r\n</li><li>Evaluating and communicating results through written research reports for publication and presentation at seminars, participating in group meetings and seminars, and assisting in developing grant proposals for new research directions.\r\r\n</li></ul>, <p>The ideal candidate will bring a deep background in spatial data visualization and analysis, as well as programming skills, to integrate various models and tools to solve complex design problems. The candidate must be willing to work in an interdisciplinary field, together with computer scientists, policy analysts, and engineers, and will require excellent interpersonal and communication skills. Other required skills include:\r\r\n</p>, <ul><li>Highly-proficient and extensive experience with geospatial analysis and modeling techniques\r\r\n</li><li>Familiarity with advanced quantitative methods and/or system modeling\r\r\n</li><li>Demonstrated ability to produce scientific visualizations, including cartographic products\r\r\n</li><li>Strong scientific programming and algorithm development skills and demonstrated use of Python in spatial analysis\r\r\n</li><li>Demonstrated experience in management of spatiotemporal data in SQL and/or NoSQL databases\r\r\n</li></ul>, <p>.\r\r\n</p>, <p><b>Required Education, Experience, and Skills\r\r\n</b></p>, <p>.\r\r\n</p>, <p><b>Preferred Qualifications\r\r\n</b></p>, <p>.\r\r\n</p>, <p><b>Submission Guidelines\r\r\n</b></p>, <p>Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.\r\r\n</p>, <p>.\r\r\n</p>, <p><b>EEO Policy\r\r\n</b></p>, <p>NREL is dedicated to the principles of equal employment opportunity. NREL promotes a work environment that does not discriminate against workers or job applicants and prohibits unlawful discrimination on the basis of race, color, religion, sex, national origin, disability, age, marital status, ancestry, actual or perceived sexual orientation, or veteran status, including special disabled veterans.\r\r\n</p>, <p>NREL validates right to work using E-Verify. NREL will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization.</p>]
## 104 [<ul><li><div>Maintain the DataArts’ database, which involves integrating regular updates to organizational data from the Cultural Data Profile, the Internal Revenue Service, and Theatre Communications Group, zip-code level business pattern data from the Census Bureau, census tract level sociodemographic and economic data from the Census Bureau, and household-level purchase data from TRG Arts and individual organizations.</div></li><li><div>\r\r\nMaintain and update the NCAR spatial model and NCAR tools. Current tools include the NCAR KIPI dashboard, the NCAR Arts Vibrancy Heat Map, and the NCAR Audience Development Tool.</div></li><li><div>\r\r\nRespond to requests to geocode physical addresses and generate analyses and data builds for white papers and external researchers.<br/>\r\r\n</div></li></ul>, <ul><li>Sit for long periods of time</li></ul>]
## 105 [<p>Do you like sun, solar and everything Data – and want to contribute to a valuation and data solution for the real estate and renewable energy industries? Then Energy Sense Finance is the place for you to showcase your unique skillsets. We are looking for a full-time, on-site Data Scientist.\r\r\n</p>, <p>Our agile development team is comprised of fun, high-performance individuals who excel with cutting edge technology in the data, web development and mobile design space. We develop valuation and data solutions for professionals involved in the real estate and renewable energy transaction process. Our solutions are used in real estate transactions in all 50 states and have been endorsed by a major industry trade group. You will be helping solar become more affordable for millions of homeowners nationwide. We are looking for a data scientist with exceptional skills in the area of data research, data gathering and analysis and who are passionate about delivering a high quality product efficiently.\r\r\n</p>, <p><b>We are an Equal Opportunity Employer with competitive wages, paid time off, and a 401k with generous employer match to assist you in reaching your long-term retirement goals.</b>\r\r\n</p>, <ul><li>Access, retrieve and store data from multiple data sources.</li>\r\r\n<li>Troubleshoot and solve issues as they arise.</li>\r\r\n<li>Automate collection of data using Python scripting.</li>\r\r\n<li>Clean and analyze data collected.</li>\r\r\n<li>Expand you education level with new technologies and trends relating to Python scripting and data analytics.</li>\r\r\n<li>Excel within an agile software development environment that allows for precise delivery timetables with weekly scrum sprints.</li>\r\r\n<li>Work with and expand your knowledge of RESTful web development services.</li>\r\r\n</ul>, <ul><li>A Bachelor’s degree in computer science, engineering or 4 years of equivalent experience.</li>\r\r\n<li>Successful development and implementation of multiple data gathering and analytics solutions using Python and PostgreSQL.</li>\r\r\n<li>Experience working with RESTful API’s using XML and JSON.</li>\r\r\n<li>2+ years of experience with Python/PostgreSQL.</li>\r\r\n<li>2+ years of data analysis experience with Python Pandas, R, IPython and Jupyter.</li>\r\r\n<li>Experience with test driven data analysis using test frameworks.</li>\r\r\n<li>Experience with Git version control and Agile development environment with weekly scrum sprints.</li>\r\r\n<li>Effective verbal and written communications skills.</li>\r\r\n<li>Attention to detail.</li></ul>]
## 106 [<ul><li>\r\r\nCreate robust marketing reporting enabling an environment of rapid test and learn and ongoing optimization.</li><li>\r\r\nDevelop onboarding and optimization of predictive models within marketing strategy.</li><li>\r\r\nProvide deep-dive insights, strategic and tactical recommendations to improve marketing effectiveness.</li><li>\r\r\nDevelop test design, targeting and audience segmentation recommendations to support right offer, right customer, right time marketing strategy.</li><li>\r\r\nAdditional responsibilities as needed by manager or supervisor.</li></ul>, <ul><li>\r\r\n3 years of experience in an agency or in-house analytics role, ideally in marketing</li><li>\r\r\nMasters Degree in relevant field</li><li>\r\r\nStrong understanding of marketing and customer segmentation tactics</li><li>\r\r\nExperience in one or more marketing channels (email, direct mail, FB), with understanding of how to measure & optimize</li><li>\r\r\nIntermediate to advanced-level experience in Google Analytics or similar web analytics platform</li><li>\r\r\nIntermediate to advanced-level experience in coding in Python and Javascript in order to assist in creating new data products that result out of work in predictive models, surveys, & A/B tests</li><li>\r\r\nIntermediate to advanced-level experience in Excel and 3rd party measurement platform</li><li>\r\r\nIntermediate to advanced-level experience in SQL and Tableau/other BI tools</li><li>\r\r\nExperience setting up and distilling insights from experimental lift testing (Creative, A/B, segment)</li><li>\r\r\nFamiliarity with correlation analysis, t-testing, and regression-based forecasting preferred</li></ul>]
## 107 [<p>ESAC, Inc., a global provider of data management, informatics research and healthcare IT solutions to government, academic and research institutions is looking for a Software Engineer/ Senior Software Engineer who can contribute to our high-profile projects in the healthcare and bioinformatics domain. This position plays a critical role in supporting ESAC clients at the Department of Health and Human Services and its various divisions. The Software Engineer/ Senior Software Engineer will use cutting-edge technologies in the analyses, interpretation, and graphical presentation of large high throughput biological data sets. The position is based in Rockville, MD and <i>Remote Work is Available.</i></p>, <p>As a Data Scientist (Bioinformatics), the successful candidate will perform bioinformatics support, data quality assurance and curation activities for our clients at the National Institutes of Health and other scientific organizations. This position will be responsible for the ETL (Extraction, Transformation, and Loading) process within a cancer research team and will assist in interpreting, curating, and harmonizing clinical, genomic, and proteomic data associated with tumor characterization.</p>, <p><b>Primary Responsibilities:</b></p>, <ul><li>Serve as bioinformatics expert for new and existing projects for our clients.</li>\r\r\n<li>Be a member of team building software applications and scientific databases for life sciences.</li>\r\r\n<li>Provide bioinformatics services to assist scientific problem-solving in a broad range of research topics.</li>\r\r\n<li>Typical daily work might include custom data processing, proteomic data processing, genomic sequence, SNP and gene expression analysis.</li>\r\r\n<li>Assist with the data curation activities for the scientific databases including working with scientists, publication research, and verification.</li>\r\r\n<li>Write custom scripts and develop programs in Perl, Python, R, Java, etc.</li>\r\r\n<li>Knowledge of cell biology, pathway analysis, proteogenomics, or cancer biology a plus.</li></ul>, <p><b>Minimum Qualifications:</b></p>, <ul>\r\r\n<li>M.S. or equivalent degree (Ph.D. preferred) with combined education and experience in bioinformatics. Applicants with education background in bioinformatics or related topics (e.g. mathematics and computer science/engineering) plus significant combined education and experience in one or more of biology, biochemistry, genetics, physiology, bioinformatics will be considered.</li>\r\r\n<li>2+ years of bioinformatics experience including programming in Perl/Python/R/Java</li>\r\r\n<li>Knowledge or experience with high throughput data and data curation activities including proteomics, microarray gene-expression, genotyping, next generation sequencing, etc\r\r\n</li><li>Experience in translating customer requirements into technical requirements.</li>\r\r\n<li>Ability to identify, prioritize, and execute tasks to meet critical project deadlines.</li>\r\r\n<li>Knowledge of Unix/Linux, Windows, Scripting (Perl etc)</li>\r\r\n<li>Experience with relational databases like Oracle, MySQL, etc.</li>\r\r\n<li>Independent problem solver that enjoys collaborative research</li>\r\r\n<li>Excellent communication and people skills.</li></ul>, <p><b>Preferred Qualifications:</b></p>, <ul>\r\r\n<li>Familiarity with the challenges of managing large amounts of data and large number of samples.</li>\r\r\n<li>Experience in design and execution of analytical workflows and the display/visualization of results.</li>\r\r\n<li>Formal coursework or advanced training in one or more of the following: biology, genomics, proteomics, genetics, biochemistry, bioinformatics, software engineering.</li>\r\r\n<li>Familiarity with data visualization, graphing software tools.</li>\r\r\n<li>Knowledge in scientific and statistical software development, e.g. implementation of statistical tests and computing algorithms using a mainstream programming language.</li></ul>, <p><b>About ESAC Inc.</b></p>, <p>\r\r\nESAC, Inc. provides innovative information technology solutions to facilitate research data management for life science companies and the federal government. Our mission is to support the global vision of personalized medicine by providing value added services and products. We are always looking for people with strong educational and technical backgrounds in bioinformatics, standards, healthcare IT and related subject matter expertise. ESAC has been recognized as one of the 2015 Great Places to Work in the Washington, DC area by the Washingtonian Magazine and also awarded a 2016 Top Workplaces honored by the Washington Post.</p>, <p><b>\r\r\nOur benefits package includes the following:</b></p>, <ul>\r\r\n<li>Competitive Base and Incentive Compensation</li>\r\r\n<li>Medical, Dental and Vision Insurance</li>\r\r\n<li>401(k) Employee Savings Plan with matching company contribution</li>\r\r\n<li>Generous Paid Time Off policy</li>\r\r\n<li>Company Holidays</li>\r\r\n<li>Employee Assistance Program</li>\r\r\n<li>Other fringe benefits and perks</li></ul>]
## 108 [<p>Aunalytics is a data science software and analytics service company with a mission to harness the power of data and use it to fuel the economic engine of growing companies, communities, and people. We offer an end-to-end cloud analytics platform that was designed to manage and automate data ingestion, compute resources, data set creation, advanced data science, and accelerated data interaction—allowing dramatically increased speed to analytical insights for businesses. Aunalytics also provides analytics solutions for specific business objectives, with a focus on digital, consumer, enterprise, and IoT applications across a wide variety of industries. We focus on providing indisputable value to our clients by acting as their trusted data and analytics partner, and by creating powerful tools to help companies realize the full potential in their data.</p>, <p>\r\r\nAs a member of the Data Science team, you will help client companies leverage massive amounts of disparate data to solve their toughest problems and arrive at data-driven answers with greater speed and accuracy. You will work with clients to develop customized algorithms that are used to answer their most pressing business questions—providing insights that increase their ROI.</p>, <ul><li>Use Machine Learning and AI to model complex problems, discover insights, and identify opportunities.</li>\r\r\n<li>Integrate and prepare large, varied datasets; architect specialized database and computing environments; and communicate results.</li>\r\r\n<li>Develop experimental design approaches to validate finding or test hypotheses.</li>\r\r\n<li>Solve client analytics’ problems and communicates results and methodologies in an understandable manner.</li>\r\r\n<li>Research new approaches/methods to improve, optimize, and test targeted questions.</li>\r\r\n<li>Work closely with business analysts to gain an understanding of client business and problems.</li>\r\r\n<li>Additional duties as assigned to ensure client and company success.</li>\r\r\n</ul>, <ul><li>M.S., or PhD in a quantitative discipline: computer science, statistics, operations research, applied mathematics, engineering, mathematics or related quantitative fields.</li>\r\r\n<li>Proficient in programming environment and languages such as: Node.js, Python, R, Javascript, SQL, and deep knowledge of analytics packages available for above languages.</li>\r\r\n<li>Prior research or development experience working with data, solving problems with data, and experience building advanced analytic models.</li>\r\r\n<li>Strong working knowledge of machine learning and statistics.</li>\r\r\n<li>Ability to communicate your ideas (verbal and written) so that team members and clients can understand them.</li>\r\r\n<li>Ability to defend your professional decisions and organize proof that your ideas and processes are correct.</li>\r\r\n<li>Resourceful in getting things done, self-starter, productive working independently or collaboratively—ours is a fast-paced entrepreneurial environment with performance expectations and deadlines.</li>\r\r\n<li>Inquisitiveness and an eagerness to learn new technologies and apply concepts to real-world problems.</li>\r\r\n<li>Share our values: growth, relationships, integrity, and passion.</li>\r\r\n</ul>, <ul><li>Experience with various BI tools.</li>\r\r\n<li>Data Visualization skills are a plus.</li></ul>]
## 109 [<ul><li>\r\r\nExplore and examine data from multiple, disparate data sources</li><li>\r\r\nSift through all incoming data with the objective of discovering previously hidden insights</li><li>\r\r\nRecommendations may be related to user experience, DevOps or improved code quality</li><li>\r\r\nDevelop quantitative models to solve business challenges</li></ul>, <ul><li>Candidate should be advanced in a single coding language such as R or Python</li><li>\r\r\nUnderstanding of statistics and mathematical techniques and their applications\r\r\n</li><li>Minimum of 1 year experience using problem solving skills such as: Analyze causes using existing techniques or tools, prepare and recommend solution alternatives</li><li>\r\r\nAbility to absorb professional knowledge quickly and develop skills\r\r\n</li><li>Ability to draw upon professional concepts to collaborate with others to carry out assigned duties</li><li>\r\r\nAbility to challenge the validity of given procedures and processes with the intent to enhance and improve\r\r\n</li><li>Enrolled in a Bachelor's degree in Mathematics or other qualitative field</li></ul>, <ul><li>Working experience in Cognos Analytics, Watson Analytics, Tableau, NOSQL Cloudant db, Java, JavaScript, SQL, NOSQL; Advanced Excel, MySQL, DB2\r\r\n</li><li>Experience using Agile and Design Thinking methodologies</li><li>\r\r\nMaster's degree in Mathematics or other qualitative field</li></ul>]
## 110 [<ul><li><div>Bachelor's degree in a quantitative field such as statistics, engineering, econometrics, computer science or applied mathematics; Master’s Preferred.</div></li>\r\r\n<li><div>5-7 years of analytics experience</div></li>\r\r\n<li><div>Proficiency in statistical programing languages such as R, Python and SAS\r\r\n</div></li><li><div>Experience querying large databases</div></li></ul>, <ul>\r\r\n<li><div>Experience with data visualization tools such as Tableau</div></li>\r\r\n<li><div>Demonstrated project management and organizational skills</div></li>\r\r\n<li><div>Thorough knowledge of a specific business line or functional area</div></li>\r\r\n<li><div>Strong verbal and written communication skills</div></li>\r\r\n<li><div>Proven track record of seeing complicated projects through to completion</div></li>\r\r\n<li><div>Work independently to drive results</div></li>\r\r\n<li><div>Impeccable attention to details</div></li>\r\r\n<li><div>Excited about rolling up your sleeves and getting hands-on with the data</div></li>\r\r\n<li><div>Comfortable with data ambiguity</div></li>\r\r\n<li><div>Great team player</div></li>\r\r\n<li><div>Someone who thrives in a fast-paced, can-do environment</div></li>\r\r\n<li><div>Experience in the financial services industry is a plus</div></li></ul>]
## 111 [<p><b>Overview:\r\r\n</b></p>, <p>We are looking for a Data Scientist that will help the company discover information hidden in vast amounts of data published by the electric system operators and integrate it with the internal data collected from various sensors into the a decision making system. The primary focus will be in applying data mining techniques, feature engineering and building high quality time series prediction tools to assist wholesale trading and retail marketing functions.\r\r\n</p>, <p><b>Responsibilities:\r\r\n</b></p>, <ul><li><b>A person in this role is expected to deliver advanced analytics solutions to business problems, with little or no reliance on supervision </b><b>for technical execution </b><b>of projects.\r\r\n</b></li><li><b>Must demonstrate business value from his/her models and ensure that stakeholders are aligned with the expected and actual results\r\r\n</b></li><li><b>Eager to learn, assimilate constructive feedback and grow through roles of greater responsibility\r\r\n</b></li><li><b>Must be an independent thinker, with a strong bias towards action and avoiding analysis-paralysis.\r\r\n</b></li><li><b>Excellent attention to detail necessary.\r\r\n</b></li><li><b>Passionate about solving real business problems via advanced analytics and data science.\r\r\n</b></li><li><b>Collaborates effectively with stakeholders to plan and implement solutions.\r\r\n</b></li><li><b>Must be a self-starter and eager to execute plans with minimal supervision.\r\r\n</b></li><li><b>Must have strong presentation and business writing skills.\r\r\n</b></li><li><b>Must be able to create effective documentation.\r\r\n</b></li></ul>, <p><b>Requirements:\r\r\n</b></p>, <ul><li><b>3-5 years for Masters degree candidates\r\r\n</b></li><li><b>Masters degree or PhD in Mathematics, Machine learning, Operations Research, Statistics or a related discipline\r\r\n</b></li><li><b>0-2 year for PhD Candidates\r\r\n</b></li><li><b>Solid theoretical background in mathematics, statistics, database technology mathematical optimization, graph algorithms and related disciplines\r\r\n</b></li><li><b>Working knowledge of Tensorflow/PyTorch is desired as well as the experience in building </b><b>ensemble </b><b>models from XGBoost/SVM regressions\r\r\n</b></li><li><b>Strong experience building original and non-trivial models with one or more tools for creating predictive /machine learning/operations research models, refined via professional experience, PhD research, collaboration in an impactful open source project or a well known predictive modeling open competition\r\r\n</b></li></ul>, <p><b>Job Family\r\r\n</b></p>, <p><b>Company\r\r\n</b></p>, <p><b>Locations\r\r\n</b></p>]
## 112 [<p>We are pioneers at technology enabled services for biomarker data management and translational informatics. Managing and analyzing this complex biomarker data is a foundational aspect to delivering on the promise of modern biomarker-driven clinical research and the role of a Data Scientist is critical to enabling the delivery of precision medicine solutions on time for our clients.</p>, <p><b>\r\r\nAbout you:</b></p>, <ul><li>\r\r\nYou are a hybrid of a data hacker, analyst, communicator and trusted advisor.</li><li>\r\r\nYou thrive in a fast paced environment and a rapidly evolving field</li><li>\r\r\nYou are inquisitive and excited by a career of constant learning</li><li>\r\r\nYou are the Sherlock of sorts and like digging in to understand the data, provide objective answers and real influence with our clients</li><li>\r\r\nTaming unstructured information and analyzing it is exciting to you</li></ul>, <p><b>Essential duties include but are not limited to:</b></p>, <ul><li>\r\r\nCreate source code in R for use in biomarker data management, translational informatics, and biomarker-driven clinical research</li><li>\r\r\nDevelop and execute data processing, quality control (QC) and analysis pipelines for biomarker data such as flow cytometry, TCR sequencing, next-generation sequencing, gene expression, IHC and other immunoassays</li><li>\r\r\nDevelop documentation and data specifications</li><li>\r\r\nPerform source code validation and application testing</li><li>\r\r\nParticipate in research and development activities as appropriate</li><li>\r\r\nContribute to the advancement of Precision’s technology-based services in Biomarker Data Management and Translational Informatics.</li></ul>, <p><b>Qualifications:</b></p>, <p>\r\r\nMinimum Required:</p>, <ul><li>\r\r\nBachelor’s in Computational Biology, Bioinformatics, Data Science, Biostatistics, Biology or related field</li></ul>, <p>Other Required:</p>, <ul><li>\r\r\nProficiency in R</li><li>\r\r\nAbility to work efficiently under Unix/Linux environment.</li><li>\r\r\nExcellent communication and interpersonal skills.</li><li>\r\r\nTeam player contributing to a positive, collaborative working environment.</li><li>\r\r\nExtended work hours may be required to meet business demands.</li></ul>, <p>Preferred:</p>, <ul><li>\r\r\nMaster’s or PhD in Computational Biology, Bioinformatics, Data Science, Biostatistics, Biology or related field.</li><li>\r\r\nExperience with processing biomarker data such as high-content flow cytometry, high-throughput or targeted gene expression assays (e.g. Nanostring, RNA-Seq), or other specialty lab data (e.g., immunoassays, IHC, SNP genotyping, qPCR)</li><li>\r\r\nExperience with genomic data and / or public databases (e.g. TCGA, dbGaP)</li><li>\r\r\nExperience with relational databases such as MySQL</li><li>\r\r\nExperience with source code management systems such as git</li></ul>]
## 113
## 114 [<p>At Greene, Tweed, you'll find the cutting-edge technology, world-class polymer expertise and endless advancement opportunities you'd expect from a multi-national industry leader. You'll find them all in an environment that embraces diversity in people and opinions, moves decision making to the point of impact, and celebrates your success.</p>, <p>\r\r\nIf you enjoy continuous learning and are excited about working with and creating technological solutions, explore career opportunities with Greene, Tweed.</p>, <p>\r\r\nWe are currently searching for a Data Scientist, based in our Kulpsville, PA headquarters, to help reinvent the way we collect, analyze and take appropriate business action upon our data.</p>, <p>\r\r\nResponsibilities include but are not limited to the following:</p>, <ul>\r\r\n<li>Develop predictive models that are insightful & actionable - testing & validating the accuracy & functionality before transitioning to production environment</li>\r\r\n<li>Manipulate and transform data into information that can be used by Managers to drive better business decisions</li>\r\r\n<li>Define algorithms, validates & deploys models to achieve business results</li>\r\r\n<li>Use machine learning methods and advanced mathematical techniques to model & predict business outcomes</li>\r\r\n<li>Identify appropriate methods to conduct analyses on corporate data</li>\r\r\n<li>Partner with Functional Managers to provide recommendations & solutions that accelerate & optimize operations procedures and actions</li>\r\r\n<li>Collaborates with Data Architect & Data Analysts to implement Business Intelligence tools for the Company</li><br/>\r\r\n</ul>, <p>Required Skills:</p>, <ul>\r\r\n<li>Minimum 10 years of demonstrated analytical skills, including the ability to collect, organize, analyze & disseminate significant amounts of information with attention to detail & accuracy</li>\r\r\n<li>A minimum of 5 years’ experience working with BI tools required; Preference given to candidates who have worked with Qlik Sense/Qlik View</li>\r\r\n<li>Proven experience manipulating data sets, designing databases, applying statistical analysis and developing predictive models to make strategic business recommendations required</li>\r\r\n<li>Advanced programming skills (VBA, R, Python, etc.) required</li>\r\r\n<li>Strong communication skills and the ability to collaborate effectively in a team environment required</li><br/>\r\r\n</ul>, <p>Qualifications:</p>, <ul>\r\r\n<li>BS Degree required; Ideal candidate will have completed advanced degree, inclusive of coursework in Mathematics and/or Computer Science</li><br/>\r\r\n</ul>, <p>Note: This Job Description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by the Supervisor. All requirements are subject to change and updates.</p>, <p>\r\r\nWe offer a competitive benefits package that includes medical, dental, vision, life insurance, short term and long term disability insurance, 401K savings plan, paid time-off, tuition assistance and more, to meet the diverse needs of all employees and their family members.</p>, <p>\r\r\nGreene, Tweed, a Federal Contractor, is an equal opportunity employer of protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of disability or their protected veteran status.</p>, <p><b>\r\r\nEOE Minorities/Females/Protected Veterans/Disabled</b></p>, <p>\r\r\nNOTE: Greene, Tweed is not seeking assistance or accepting unsolicited resumes from search firms for employment opportunities, unless they have a written agreement for the position they are contacting us about. Regardless of past practice, all resumes submitted by search firms to any employee at GT without a valid written search agreement in place for that position will be deemed the sole property of Greene, Tweed, and no fee will be paid in the event the candidate is hired by Greene, Tweed as a result of the referral or through other means.</p>]
## 115 [<p>At Greene, Tweed, you'll find the cutting-edge technology, world-class polymer expertise and endless advancement opportunities you'd expect from a multi-national industry leader. You'll find them all in an environment that embraces diversity in people and opinions, moves decision making to the point of impact, and celebrates your success.</p>, <p>\r\r\nIf you enjoy continuous learning and are excited about working with and creating technological solutions, explore career opportunities with Greene, Tweed.</p>, <p>\r\r\nWe are currently searching for a Data Scientist, based in our Kulpsville, PA headquarters, to help reinvent the way we collect, analyze and take appropriate business action upon our data.</p>, <p>\r\r\nResponsibilities include but are not limited to the following:</p>, <ul>\r\r\n<li>Develop predictive models that are insightful & actionable - testing & validating the accuracy & functionality before transitioning to production environment</li>\r\r\n<li>Manipulate and transform data into information that can be used by Managers to drive better business decisions</li>\r\r\n<li>Define algorithms, validates & deploys models to achieve business results</li>\r\r\n<li>Use machine learning methods and advanced mathematical techniques to model & predict business outcomes</li>\r\r\n<li>Identify appropriate methods to conduct analyses on corporate data</li>\r\r\n<li>Partner with Functional Managers to provide recommendations & solutions that accelerate & optimize operations procedures and actions</li>\r\r\n<li>Collaborates with Data Architect & Data Analysts to implement Business Intelligence tools for the Company</li><br/>\r\r\n</ul>, <p>Required Skills:</p>, <ul>\r\r\n<li>Minimum 10 years of demonstrated analytical skills, including the ability to collect, organize, analyze & disseminate significant amounts of information with attention to detail & accuracy</li>\r\r\n<li>A minimum of 5 years’ experience working with BI tools required; Preference given to candidates who have worked with Qlik Sense/Qlik View</li>\r\r\n<li>Proven experience manipulating data sets, designing databases, applying statistical analysis and developing predictive models to make strategic business recommendations required</li>\r\r\n<li>Advanced programming skills (VBA, R, Python, etc.) required</li>\r\r\n<li>Strong communication skills and the ability to collaborate effectively in a team environment required</li><br/>\r\r\n</ul>, <p>Qualifications:</p>, <ul>\r\r\n<li>BS Degree required; Ideal candidate will have completed advanced degree, inclusive of coursework in Mathematics and/or Computer Science</li><br/>\r\r\n</ul>, <p>Note: This Job Description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by the Supervisor. All requirements are subject to change and updates.</p>, <p>\r\r\nWe offer a competitive benefits package that includes medical, dental, vision, life insurance, short term and long term disability insurance, 401K savings plan, paid time-off, tuition assistance and more, to meet the diverse needs of all employees and their family members.</p>, <p>\r\r\nGreene, Tweed, a Federal Contractor, is an equal opportunity employer of protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of disability or their protected veteran status.</p>, <p><b>\r\r\nEOE Minorities/Females/Protected Veterans/Disabled</b></p>, <p>\r\r\nNOTE: Greene, Tweed is not seeking assistance or accepting unsolicited resumes from search firms for employment opportunities, unless they have a written agreement for the position they are contacting us about. Regardless of past practice, all resumes submitted by search firms to any employee at GT without a valid written search agreement in place for that position will be deemed the sole property of Greene, Tweed, and no fee will be paid in the event the candidate is hired by Greene, Tweed as a result of the referral or through other means.</p>]
## 116 [<ul><li>Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.</li><li>\r\r\nParticipates in the data gathering, data processing and data mining of large and complex datasets.</li><li>\r\r\nDevelops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.</li><li>\r\r\nRuns analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling.</li><li>\r\r\nMay partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.</li></ul>, <p><b>Manages Risk - Working Experience</b></p>, <ul><li>Assesses and effectively manages all of the risks associated with their business objectives and activities to ensure activities are in alignment with the bank's and unit's risk appetite and risk management framework.</li></ul>, <p><b>Customer Focus - Extensive Experience</b></p>, <ul><li>Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions, and ability to leverage that information in creating customized customer solutions.</li></ul>, <p><b>Data Architecture - Working Experience</b></p>, <ul><li>Knowledge of and ability to design blueprints on how to integrate data resources for business processes and functional support.</li></ul>, <p><b>Information Capture - Working Experience</b></p>, <ul><li>Knowledge of the methods, channels and processes to obtain needed information; ability to identify, capture and document relevant business information in an auditable, organized, understandable and easily retrievable manner.</li></ul>, <p><b>Modeling: Data, Process, Events, Objects - Extensive Experience</b></p>, <ul><li>Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.</li></ul>, <p><b>Prototyping - Working Experience</b></p>, <ul><li>Knowledge of and ability to implement prototyping disciplines, tools and techniques in evolutionary models within the target environment.</li></ul>, <p><b>Query and Database Access Tools - Working Experience</b></p>, <ul><li>Knowledge of and the ability to use, support and access facilities for extracting and formatting a database management system.</li></ul>, <p><b>Disruptive Innovation - Working Experience</b></p>, <ul><li>Knowledge of concepts, principles, and approaches of disruptive innovation; ability to adopt the knowledge into related processes and practices.</li></ul>, <p><b>Machine Learning - Working Experience</b></p>, <ul><li>Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.</li></ul>, <p><b>Data Mining - Working Experience</b></p>, <ul><li>Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information.</li></ul>]
## 117 [<p><b>Position Description</b></p>, <ul><li>\r\r\nConsults with business stakeholders regarding data insights and recommendations</li><li>\r\r\nDrives analytics insights across the division</li><li>\r\r\nDrives the execution of multiple business plans and projects</li><li>\r\r\nEnsures business needs are being met</li><li>\r\r\nLeads medium- to large-sized analytics project teams</li><li>\r\r\nManages the continuous improvement of data science and analytics</li><li>\r\r\nPromotes and supports company policies, procedures, mission, values, and standards of ethics and integrity</li><li>\r\r\nProvides supervision and development opportunities for associates</li></ul>, <p><b>\r\r\nMinimum Qualifications</b></p>, <ul><li>\r\r\nBachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 9 years' experience in an analytics related field OR Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7 years' experience in an analytics related field.</li></ul>, <p><b>\r\r\nAdditional Preferred Qualifications</b></p>, <ul><li>\r\r\n2 years' experience with big data analytics.</li><li>\r\r\n6 years' experience with SQL and relational databases (for example, DB2, Oracle, SQL Server).</li><li>\r\r\n6 years' experience with statistical programming languages (for example, SAS, R).</li><li>\r\r\nBachelor's degree in Statistics, Economics, Analytics, Mathematics and 12 years' experience in an analytics related field.</li><li>\r\r\nCertificate in business analytics, data mining, or statistical analysis.</li><li>\r\r\nDoctoral degree in Statistics, Economics, Analytics, or Mathematics and 6 years' experience in an analytics related field.</li><li>\r\r\nMaster's degree in Statistics, Economics, Analytics, or Mathematics and 8 years' experience in an analytics related field.</li></ul>, <p><b>\r\r\nCompany Summary</b></p>]
## 118 [<p>\r\r\nAchievement Network (ANet) is a nonprofit dedicated to educational equity. We help schools boost student learning with great teaching that’s grounded in standards, informed by data, and built on the successful practices of educators around the country.\r\r\n</p>, <p>Founded in 2005, ANet now serves over 700 schools educating over 230,000 students in California, Colorado, Connecticut, District of Columbia, Illinois, Louisiana, Massachusetts, Michigan, New Jersey, New York, Ohio, and Tennessee. Our support has consistently helped our partner schools—both district and charter—achieve breakthrough results for their students. ANet has received multiple awards and recognitions, including a prestigious Investing In Innovation (i3) grant from the federal government in 2010, New Schools Venture Fund’s “Organization of the Year” in 2011, and The NonProfit Time’s “Best Nonprofits to Work For” in 2015 and 2016.\r\r\n</p>, <ul><li> <b>Build and refine predictive models to help ANet understand what factors most drive instructional change, student performance, and school partner satisfaction (40%)</b></li><li> Extract, clean and analyze large volumes of assessment, product usage, and other data to glean insights on how ANet can better support schools and improve student learning outcomes</li><li> Analyze the impact of specific product / service offerings on school and student outcomes</li><li> Apply machine learning and statistical modeling techniques</li><li> Lead data characterization and mining of newer ANet data sources, including: establishing analytic rules, defining reporting requirements, and providing technical advisement on how to improve data validity</li><li> Identify new data sources that could strengthen insights into student and educator learning, including scraping publicly available data that might be relevant</li><li> Work with Engineering team to advise on long-term storage, analytic and cloud solutions</li><li> Support the Office of the CEO in quarterly top-line goal reporting, conducting follow-up analyses as needed</li></ul>, <ul><li> <b>Lead analytics of user feedback and usage data to help ANet increase school partnership strength and growth (30%)</b></li><li> Partner with business leads to formulate and scope key business questions\r\r\n</li><li> Work with business leads to design user feedback strategy that achieves the right balance of real-time feedback and periodic deeper reflections</li><li> Build analytic models that ingest multiple sources of feedback data to output holistic insights</li><li> Partner with data dashboard team to build intuitive, action-oriented, and holistic dashboards that enable internal stakeholders to understand their partners’ experiences and connect it to other data points</li><li> Project manage feedback collection strategy (likely a mix of surveys, online polling and usage analytics). Work across a range of internal partners to ensure timely survey build, administration, outreach, and response rate monitoring.\r\r\n</li><li> Boost end user (primarily team managers across Network, National & Program teams) internalization of user feedback results for action and decision-making</li></ul>, <ul><li> <b>Develop tools, code and systematic approaches to automate modeling, data joining, and ongoing model improvement (20%)</b></li></ul>, <ul><li> <b>Coach other analysts on use of statistical and machine learning packages and tools, to grow ANet’s analytic talent bench (10%)</b></li></ul>, <ul><li> <b>Data analysis skills and experience: </b>You bring 2-3 years direct experience building and deploying predictive models using Python or R, statistical hypothesis testing, common machine learning and statistical packages (scikit-learn, etc), and hyperparameter tuning.\r\r\n</li><li> You have experience extracting, cleaning and analyzing data sets with multiple millions of rows (preferably 10+ million) and have basic to intermediate experience in SQL.</li><li> You have demonstrated the ability to create intuitive visualizations and dashboards that drive action</li><li> You have experience researching and resolving data and analytic issues with a systematic, intuitive and problem-solving mentality while working with large, complex and incomplete sources\r\r\n</li><li> <b>Service-orientated:</b> You know that we are most effective when we work together and that we realize our impact through listening to and responding to the unique needs of others on ANet internal teams, always in service of our school communities.\r\r\n</li><li> <b>Strong organization skills:</b> You are confident owning projects independently because of your careful planning, time management, detail orientation, and prioritization skills.</li><li> <b>Highly flexible: </b>You know that schools and our Network teams are dynamic communities and a “one size fits all” approach won’t get us the results we want.\r\r\n</li><li> <b>Proactive and motivated:</b> You are willing to take initiative, ask for feedback, and consistently reflect on ways to improve. You are eager to grow professionally and acquire new statistical and technical skills. You are passionate about continuously learning about the latest data science tools and how they can be applied to advance student learning and outcomes.</li><li> <b>Belief in Achievement Network’s mission: </b>You have a passionate commitment to and a sense of urgency for the support of schools, along with a belief that all students can achieve at high levels.</li><li> <b>Belief in ANet’s Core Values:</b> You are motivated by working in an environment where we live out our core values daily and are eager to examine personal archetypes and biases while discussing topics related to race, class, and privilege which relate to ANet’s Advance Equity and People Matter values</li></ul>, <ul><li> You bring prior experience working within or on behalf of schools and/or education nonprofits<br/>\r\r\n</li></ul>]
## 119 [<p>If you have what it takes to become part of the Vistra Energy family and would like to start a promising career with a global leader, take a look at the exciting employment opportunities that are currently available and apply online.\r\r\n</p>, <p><b>Job Description\r\r\n</b></p>, <p><b>Overview:\r\r\n</b></p>, <p>We are looking for a Data Scientist that will help the company discover information hidden in vast amounts of data published by the electric system operators and integrate it with the internal data collected from various sensors into the a decision making system. The primary focus will be in applying data mining techniques, feature engineering and building high quality time series prediction tools to assist wholesale trading and retail marketing functions.\r\r\n</p>, <p><b>Responsibilities:\r\r\n</b></p>, <ul><li><b>A person in this role is expected to deliver advanced analytics solutions to business problems, with little or no reliance on supervision </b><b>for technical execution </b><b>of projects.\r\r\n</b></li><li><b>Must demonstrate business value from his/her models and ensure that stakeholders are aligned with the expected and actual results\r\r\n</b></li><li><b>Eager to learn, assimilate constructive feedback and grow through roles of greater responsibility\r\r\n</b></li><li><b>Must be an independent thinker, with a strong bias towards action and avoiding analysis-paralysis.\r\r\n</b></li><li><b>Excellent attention to detail necessary.\r\r\n</b></li><li><b>Passionate about solving real business problems via advanced analytics and data science.\r\r\n</b></li><li><b>Collaborates effectively with stakeholders to plan and implement solutions.\r\r\n</b></li><li><b>Must be a self-starter and eager to execute plans with minimal supervision.\r\r\n</b></li><li><b>Must have strong presentation and business writing skills.\r\r\n</b></li><li><b>Must be able to create effective documentation.\r\r\n</b></li></ul>, <p><b>Requirements:\r\r\n</b></p>, <ul><li><b>3-5 years for Masters degree candidates\r\r\n</b></li><li><b>Masters degree or PhD in Mathematics, Machine learning, Operations Research, Statistics or a related discipline\r\r\n</b></li><li><b>0-2 year for PhD Candidates\r\r\n</b></li><li><b>Solid theoretical background in mathematics, statistics, database technology mathematical optimization, graph algorithms and related disciplines\r\r\n</b></li><li><b>Working knowledge of Tensorflow/PyTorch is desired as well as the experience in building </b><b>ensemble </b><b>models from XGBoost/SVM regressions\r\r\n</b></li><li><b>Strong experience building original and non-trivial models with one or more tools for creating predictive /machine learning/operations research models, refined via professional experience, PhD research, collaboration in an impactful open source project or a well known predictive modeling open competition</b></li></ul>]
## 120 [<p>Working at the forefront of artificial intelligence and machine learning…this position will grow Stryker’s capabilities in data analytics and management. This role will work with various datasets that can inform us about our products, markets, and customers, improve clinical outcomes, and improve our business practices. This position will be part of the Connected Care Data Science Team and will bring strong quantitative skills to our data science capabilities. This position is part of a multidisciplinary team exploring, connecting and mining internal and external data sources and will develop data models using algorithms for pattern detection, maintenance, and forecasting. In this position you will be engaged on projects that use advanced analytics techniques, such as optimization, forecasting, machine learning, predictive maintenance, and statistical analysis to develop solutions that help deliver significant value to a variety of internal business units. Candidates will be exposed to a wide spectrum of high visibility projects ranging from product effectiveness, time series forecasting, operational efficiency, and financial analysis.\r\r\n</p>, <p><b>Responsibilities:\r\r\n</b></p>, <ul><li>Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies. Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope\r\r\n</li><li>Identify and support business needs and recommend holistic solutions that integrate with existing data and technical solutions\r\r\n</li><li>Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources\r\r\n</li><li>Continuously seek out industry best practices and develop skills to create new capabilities for data analytics to improve business decisions and outcomes\r\r\n</li><li>Participate on cross-disciplinary project team of database engineers, data scientists, and business subject-matter experts to complete project deliverables\r\r\n</li><li>Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects. Develop visualization products to share analysis across a large group of business users\r\r\n</li><li>Implement models and visualizations into production data pipelines and analytics solutions that can be designed for production implementation in addition to research initiatives.\r\r\n</li><li>Identify and act upon opportunities to improve the system process flow, performance and technical efficiencies\r\r\n</li></ul>, <p><b>Qualifications/Work Experience Preferred:\r\r\n</b></p>, <ul><li>Minimum 6 years relevant work experience (if bachelor’s degree) or minimum 3 years relevant work experience (if master’s degree) with a proven track record in driving value in a commercial setting using data science skills\r\r\n</li><li>Minimum of 2 years of experience working with cloud-based solutions in Azure, AWS, or similar\r\r\n</li><li>Ability to analyze business situations and apply excellent organizational/communication skills and attention to detail in business case evaluation and requirements analysis\r\r\n</li><li>In-depth knowledge of various modeling algorithms e.g. Linear, GLMs, tree-based models, neural networks, clustering, PCA, and time series models.\r\r\n</li><li>Proficiency in statistical tools / languages such as R (e.g. ggplot2, cluster, dplyr, caret), Python (e.g. pandas, scikit-learn, bokeh, nltk), Spark – MLlib, H20, or other tools\r\r\n</li><li>Strong data analysis and problem solving skills, including excellent SQL (T-SQL, PL/SQL, Spark SQL) skills\r\r\n</li><li>Experience with Data Engineering and Data Architecture such as ETL/ETL pipelines, data movement and data quality with Big Data, relational and dimensional modeling, and unstructured data stores\r\r\n</li><li>Minimum 2 years of experience working in a data science or machine learning environment\r\r\n</li><li>In-depth knowledge of databases, data modeling, Hadoop, and distributed computing frameworks\r\r\n</li><li>Experience in software development environments using Agile / SCRUM, and code management/versioning (e.g. git)\r\r\n</li><li>Experience developing and testing machine learning and/or statistical projects\r\r\n</li><li>Experience “productionizing” machine learning and/or statistical projects with solutions that are well designed, thoroughly tested/validated, and implemented in highly scalable and highly available commercial products\r\r\n</li><li>Ability to understand complex and ambiguous business needs\r\r\n</li><li>Must be curious, self-motivating, driven and have a passion for problem solving\r\r\n</li><li>Collaborative team player\r\r\n</li></ul>, <p><b>Education/Special Training Required:\r\r\n</b></p>, <p>Bachelor’s degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research or related fields. Preferred Master’s in Data Science, Applied Mathematics, or Bioinformatics.\r\r\n</p>]
## 121 [<p><b>Background:</b></p>, <p>\r\r\nNippon Dynawave Packaging located in Longview, WA has an opening for a Data Scientist.</p>, <p><b>Principal Job Responsibilities/Duties</b></p>, <ul><li>Data analysis and problem solving in the manufacturing process for the production and optimization of pulp and packaging products.</li></ul>, <ul><li>Continuously improves data bases and manufacturing information into decision support material</li></ul>, <ul><li>Develop plans and operational excellence efforts to decrease product variability, lower operating costs and improve reliability</li></ul>, <ul>\r\r\n<li>Build capability of operating teams to monitor, track and achieve unit and mill performance metrics</li>\r\r\n<li>Supports area operators and management through technical training and development on organized problem solving</li>\r\r\n<li>Participate in operational and quality issue resolutions through mill operating data analysis</li>\r\r\n<li>Performs analyses to model processes and identify key leverage opportunities to improve operations</li>\r\r\n<li>Assist with capital project development and implementation by developing models, mining historical data and predicting benefit streams</li>\r\r\n<li>Support prioritization of mill priorities using data mining techniques</li>\r\r\n</ul>, <p><b>Qualifications</b></p>, <ul>\r\r\n<li>Bachelor of Science in Chemical, Mechanical or Industrial Engineering or Pulp and Paper Technology</li>\r\r\n<li>Minimum of 2 years working as a Process Engineer or in data based, structured problem-solving; work experience in Pulp and Paper Industry desirable</li>\r\r\n<li>Experienced with large data base structure and access</li>\r\r\n<li>Practical understanding of statistical process control and applications</li>\r\r\n<li>Strong computer applications proficiency with Microsoft Office Products</li>\r\r\n<li>Strong computer applications proficiency with Statistical applications like Statistica and / or JMP</li>\r\r\n<li>Strong desire to learn manufacturing processes and how to solve manufacturing problems using data analytics</li>\r\r\n<li>Ability to work with operators, management, suppliers and customers</li>\r\r\n<li>Strong oral and written communication, team building and technical skills</li>\r\r\n<li>Must be self-motivated and able to work with a minimum of supervision</li>\r\r\n<li>Must be able to work independently and handle multiple projects</li>\r\r\n<li>Must have strong structured problem solving skills</li>\r\r\n<li>Lean, Six Sigma experience valued</li>\r\r\n<li>Experience in AI and machine learning valued</li>\r\r\n</ul>, <p><b>NDP is an Equal Opportunity employer building a capable, committed and diverse workforce.</b></p>]
## 122 [<ul><li>Supporting deal origination efforts, including investment trends</li><li>Supporting the Managing Director in a variety of analytic and investment management activities</li><li>Working with and supporting portfolio companies</li><li>Conducting valuation updates and monitoring performance across the portfolio</li></ul>, <ul><li>Bachelor's Degree</li><li>Experience in finance, retail or start up environment</li><li>Experience with financial analysis</li><li>Experience in R, Python or similar programming language</li><li>Experience with machine learning and statistical modeling</li><li>Strong written and oral communication skills</li></ul>, <ul><li>Interest in commerce and retail technology</li><li>Driven to work hard within a high performance environment</li><li>Strong quantitative skills</li></ul>]
## 123 [<ul><b>Job Field: </b>REDE - Research & Development<b>\r\r\nLocation: </b>Wyandotte, MI, US<b>\r\r\nCompany: </b>BASF Corporation<b>\r\r\nJob Type: </b>Standard<b>\r\r\nJob ID: </b>EN_US_1805062<p><b>\r\r\nWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, age, citizenship, color, religion, sex, marital status, national origin, disability status, gender identity or expression, protected veteran status, or any other characteristic protected by law.</b></p><p><b>\r\r\nDescription</b></p><p>\r\r\nAt BASF, we create chemistry through the power of connected minds. By balancing economic success with environmental protection and social responsibility, we are building a more sustainable future through chemistry. As the world’s leading chemical company, we help our customers in nearly every industry meet the current and future needs of society through science and innovation. We achieve this through our commitment to continuous improvement and operational excellence, which gives us the opportunity to set and deliver on ambitious, long-term goals.\r\r\n</p>We provide a challenging and rewarding work environment with a strong emphasis on process safety, as well as the safety of our employees and the communities we operate in and are always working to form the best team—especially from within, through an emphasis on lifelong learning and development. This allows for our employees to innovate and generate new ideas, put them into action, and gain insights from them to further advance our collective expertise.\r\r\nAt BASF, we are constantly striving to become an even better place to work. BASF has been recognized by Forbes Magazine as one of America’s Best Employers in 2017. We strongly support the spirit of collaboration through effectively involving team members and colleagues from other relevant units when developing and executing strategies and projects. Come join us on our journey to create solutions for a sustainable future!\r\r\n<b>Machine Learning and Artificial Intelligence Scientist </b>(1805062) — Wyandotte, MI\r\r\nWhere the Chemistry Happens\r\r\nData Analytics is a core contributor to innovation. Data Analytics comprises Statistics, Machine Learning, and Artificial Intelligence for all kinds of materials, systems, and processes at BASF. We support the live cycle of a material from ideation in research to quality management in production.\r\r\nIf a system observes its environment and takes actions that maximize its chance of success at a given goal, we call it Artificial Intelligence (AI). The mission of the Data Analytics team is to learn from leading institutions in academia and commerce in the region, to develop ML models and algorithms in a global context, and to incubate AI systems in North-America.\r\r\nWe are searching for a professional like you to play a key role in the planning, design and execution of machine learning and artificial intelligence applications to accomplish project objectives. You will disseminate the value proposition of data science in our R&D organization. Through machine learning and artificial intelligence, you enable regular researchers to integrate sophisticated mathematical models into their lab workflow, e.g. by developing tailored apps.\r\r\nYou will actively engage with labs, translate the scientific problems at their end into mathematical ones, build machine learning models that solve them and make the solutions accessible through apps. You will be relied on to provide knowledge and expertise in achieving research targets, interpreting results, and reporting them to key stakeholders.<p><b>\r\r\nQualifications - BASF recognizes institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent</b></p><p><b>\r\r\nFormula for Success\r\r\n</b></p>Leveraging your academic background in data analytics, machine learning, artificial intelligence, or a related scientific discipline, you will contribute to a research direction that provides innovation and breakthrough advantages for the business by delivering tailored machine learning and AI solutions.\r\r\n<li>Your familiarity with different analytical areas of expertise in AI (e.g., machine/reinforcement learning, statistics, analytics) will be critical as you explore technical possibilities and create ideas together with internal non-AI-expert business partners.</li><li>\r\r\nSuccessfully engaging across the organization, you will interact frequently with colleagues who are specialists at non-digital research disciplines.</li><li>\r\r\nRelying on your strong programming skills (preferably Python and/or R), you will contribute to the development of applications that make complex machine learning models accessible to both lab technicians and business partners.</li><li>\r\r\nYour strong communication skills help us bridge the gap between mathematics and real world applications.</li>\r\r\nCreate Your Own Chemistry: What We Offer You\r\r\nAdding value to our customers begins with adding value to you. You@BASF is the suite of benefits, perks, programs and unique opportunities we offer to support you—the whole you—in all stages of your life and career. With you@BASF, you create your own chemistry.\r\r\nThe total rewards that you receive as a BASF employee go way beyond a paycheck. From competitive health and insurance plans, to robust retirement benefits that include company-matching contributions, to making sure you never stop learning, we believe investing in you is investing in our success. Working for a large, global organization, you’ll have a chance to grow professionally and personally, expand your network and build a rewarding and dynamic career.\r\r\nBASF provides interesting and challenging learning and development opportunities to help you make the most of your talents and your job.</ul>, <p><b>\r\r\nWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, age, citizenship, color, religion, sex, marital status, national origin, disability status, gender identity or expression, protected veteran status, or any other characteristic protected by law.</b></p>, <p><b>\r\r\nDescription</b></p>, <p>\r\r\nAt BASF, we create chemistry through the power of connected minds. By balancing economic success with environmental protection and social responsibility, we are building a more sustainable future through chemistry. As the world’s leading chemical company, we help our customers in nearly every industry meet the current and future needs of society through science and innovation. We achieve this through our commitment to continuous improvement and operational excellence, which gives us the opportunity to set and deliver on ambitious, long-term goals.\r\r\n</p>, <p><b>\r\r\nQualifications - BASF recognizes institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent</b></p>, <p><b>\r\r\nFormula for Success\r\r\n</b></p>]
## 124 [<p><b>Description</b>\r\r\n</p>, <ul><li>Execution of all phases of quantitative research projects: identifying the business problem, data exploration, modeling, communication of final results.</li>\r\r\n<li>Consults with and provides guidance on the selection and use of modeling software and programs.</li>\r\r\n<li>Design, develop, and implement health care analytic and biomedical modeling programs.</li>\r\r\n<li>Implements plans for capturing and creating new data elements, working with Health Plan CIO and IT staff.</li>\r\r\n<li>Responsible for conceiving, planning, designing, developing and validating robust algorithms for use in analyzing health care models.</li></ul>, <p><b>\r\r\nQualifications</b>\r\r\n</p>, <ul><li>Advanced degree in a quantitative discipline such as Bio-informatics, Statistics, Applied Mathematics, Operations Research, Economics, Decision Science, Health Services Research or related field.\r\r\n</li><li>Ph.D. highly preferred.\r\r\n</li><li>Three or more years experience in quantitative methods or other relevant work.\r\r\n</li><li>Strong mathematics and science background with sound analytical/computational skills and proficiency in pattern recognition and classification.</li>\r\r\n<li>Experience with machine learning models highly desired.\r\r\n</li><li>Knowledge of statistical and reporting methodologies.\r\r\n</li><li>Database knowledge for data management is highly desired.\r\r\n</li><li>Proficiency in statistical programming languages such as, but not limited to: MATLAB, Mathematica, SAS, R, or Statistica.</li>\r\r\n<li>Ability to design programs to analyze complicated scenarios.\r\r\n</li><li>Excellent written and oral communication skills.\r\r\n</li><li>Person must demonstrate a high degree of professionalism, enthusiasm and initiative on a daily basis. Ability to work in a fast-paced environment a must.\r\r\n</li><li>Attention to detail is critical to the success of this position.<br/>\r\r\n<br/>\r\r\n<b>Licensure, Certifications, and Clearances:</b><br/>\r\r\n<b>UPMC is an equal opportunity employer. Minority/Females/Veterans/Individuals with Disabilities</b></li></ul>]
## 125 [<ul><li>Aggregates and analyzes data to identify behaviors and forms of recognition/motivation to drive financial benefits to employees and the company.\r\r\n</li><li>Aids/enables revenue growth, profitability, and performance management; supports dialogue with product, marketing, LD, and/or IT. Adheres to national measurement standards and world class sales performance reporting.\r\r\n</li><li>Designs models for behavioral and financial forecasting to reach actionable conclusions.\r\r\n</li><li>Builds trend and variability analyses, identifies correlation and/or causality, assists the proper training and usage of reports and data analysis to drive sales.\r\r\n</li><li>Prepares compelling and comprehensible visualization to assist with leadership coaching, business reviews, and strategic decision making. Automates visualization process for standardization and replication.\r\r\n</li><li>Identifies and advocates for areas of improvement in data rigor, collection, use, and visualization.\r\r\n</li><li>Provides ad-hoc reporting and analysis.\r\r\n</li><li>Performs other duties as assigned.<br/>\r\r\n</li></ul>, <ul><li>Proficiency in SQL\r\r\n</li><li>Mastery of MS Office (full suite), especially Excel (Macros, VBA, Power Pivot) and PowerPoint\r\r\n</li><li>Experience with analytics and BI tools (such as R, Python and Tableau)\r\r\n</li><li>Experience with statistical methods and models, including testing, forecasting, and modeling\r\r\n</li><li>Ability to simplify and explain complex, technical topics to a non-technical, time-constrained audience\r\r\n</li><li>Bias for action and awareness of sales-based needs in a highly competitive environment\r\r\n</li><li>Highly adaptive to changing priorities\r\r\n</li><li>Strong work ethic, ownership of delivery and attention to detail/ accuracy\r\r\n</li><li>Desire to grow in an analytics\r\r\n</li></ul>]
## 126 [<ul><li>Demonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions.</li><li>\r\r\nPossess the ability to work with and manipulate common data formats, including comma-delimited, text files, and JSON.</li><li>\r\r\nAnalyst must be able to transform data and analysis into informative data visualizations and/or interactive dashboards using open source and commercially available visualization and dashboard tools.</li><li>\r\r\nDemonstrate the ability to derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to specific research questions.</li><li>\r\r\nAbility to work in a fast-paced, solutions oriented environment focused on client deliverables, analysis and reporting.</li><li>\r\r\nPossess the ability to work in teams and independently.</li></ul>, <ul><li>Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.</li><li>\r\r\nExperience working with tools including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).</li></ul>, <ul><li>\r\r\nExperience creating meaningful data visualizations and/or interactive dashboards that communicate your findings and relate them back to how your insights create business impact using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js.</li></ul>, <ul><li>\r\r\nWorking knowledge of databases and SQL is desired. Preferred qualifications include linking analytic and data visualization products to database connections.</li><li>\r\r\nPreferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Additional preferred qualifications include working with unstructured text and natural language processing.</li><li>\r\r\nSuperior communication skills, both oral and written.</li></ul>]
## 127 [<ul>\r\r\n<li>Surveying current academic research to engineer practical solutions to data analytics challenges</li>\r\r\n<li>Developing prototype software to gather, process, and analyze intelligence data from various sources</li>\r\r\n<li>Collaborating with Laboratory, for-profit contractors, and sponsor teams to address critical sponsor needs</li>\r\r\n<li>Effectively communicating results with non-expert audiences, and generating innovative ideas to benefit the country</li>\r\r\n</ul>]
## 128 [<p>Shippensburg University is seeking applications for a Data Scientist, located in the Academic Technology and User Services department.<br/>\r\r\nThe Data Scientist is responsible for the creation and utilization of data systems to model complex institutional data, discover insights and identify opportunities through the use of trend analysis. This data expert will analyze big data and engage in predictive modeling and other analytics needed to facilitate successful enrollment, retention and student success efforts, as well as other institutional effectiveness initiatives at the university.</p>, <p>\r\r\nShippensburg University employees value teamwork and collaboration, are dependable, take initiative, solve problems effectively, communicate clearly and support organizational change. University employees work closely with individuals of diverse backgrounds and race, as well as those of differing religious affiliations, sexual orientation and gender. They must possess good interpersonal skills and be able to communicate effectively with all members of the campus community.</p>, <p>A Bachelor’s degree from a regionally accredited institution in computer science, mathematics, statistics, engineering or a related field and three years of experience in data analysis, including the management of data sets, data modeling, and generation of reports from relational databases is required. Familiarity in the use of two or more of the following: SAS, QlickView, QlickSense, SAS Visual Analytics, R, Tableau or other modern data analytic tools is required. Excellent organizational, interpersonal and communication skills along with demonstrated ability to work in a team environment is required. Successful performance in an on campus interview is also required.</p>, <p>A Master’s Degree in a discipline that includes data analysis, research or scientific methods and five years of experience in data analysis including management of data sets and generations of reports from relational databases is preferred. Previous experience in an institutional research office, advanced skills using various simulation and statistical software for data analysis, specifically predictive analytics and equation modeling is also preferred.</p>, <p>For full consideration candidates should apply online at https://jobs.ship.edu by October 9, 2018 with acceptance of materials continuing until the position is filled. Materials submitted in other formats including paper documents will not be considered. All applications and inquiries will remain confidential.</p>, <p>\r\r\nShippensburg University of Pennsylvania is an equal opportunity employer and, in compliance with federal and state laws and university policy, is committed to providing equal educational and employment opportunities for all persons without regard to age, color, national origin, race, religion, disability, veteran status, sex, sexual orientation, or gender identity. Individuals from traditionally underrepresented populations are encouraged to apply.</p>]
## 129 [<p><b>Role and Responsibility:</b></p>, <ul>\r\r\n<li>Responsible for the extraction and analysis of data supporting the Medical Economics area focusing on delivering the highest quality care for members at the lowest cost\r\r\n</li><li>Supports the strategic direction for team\r\r\n</li><li>Proactively collaborates with and provides support for analyses being conducted by the Actuarial, Risk Adjustment, Market Finance, Provider Analysis, and other departments\r\r\n</li><li>Investigates areas for membership growth, medical expense management, revenue expansion, affordability and quality improvement\r\r\n</li><li>Identify and translate into action plans industry best practices for quality enhancement and cost containment, including trend analysis, modeling, and reporting\r\r\n</li><li>Manage key vendor relationship in support of the work being completed\r\r\n</li><li>Develops and provides actionable recommendations to senior management relative to all analysis and/or ad hoc reporting\r\r\n</li><li>Provide guidance and mentorship to junior analysts\r\r\n</li><li>Perform any other job related instructions as requested\r\r\n</li></ul>, <p><b>Education / Experience:</b></p>, <ul>\r\r\n<li>Bachelor’s degree or equivalent years of relevant experience in related field is required\r\r\n</li><li>Master or other advanced degree in related field is preferred\r\r\n</li><li>Minimum of four (4) years of related experience is required\r\r\n</li><li>Managed Care or healthcare experience is preferred\r\r\n</li></ul>, <p><b>Required Competencies / Knowledge / Skills:</b></p>, <ul>\r\r\n<li>Advanced proficiency with Microsoft Suite to include Word, PowerPoint and Outlook\r\r\n</li><li>Expert proficiency level with Microsoft Excel\r\r\n</li><li>Expert knowledge of SQL, SAS, R, or other data manipulation software\r\r\n</li><li>Ability to consume large quantities of information and discover patterns, irregularities, and deficiencies to analyze\r\r\n</li><li>Ability to work independently and within a team environment with limited guidance\r\r\n</li><li>Ability to effectively report data, analyze facts, and exercise sound business judgment when making recommendations\r\r\n</li><li>Ability to analyze problems, draw conclusions, develop processes and communicate status and results\r\r\n</li><li>Excellent oral and written communication skills\r\r\n</li><li>Ability to interact with management as well as external stakeholders\r\r\n</li><li>Ability to systematically review other’s work\r\r\n</li><li>Strong interpersonal skills and high level of professionalism\r\r\n</li><li>Strong problem solving skills and attention to detail\r\r\n</li><li>Strong listening and critical thinking skills\r\r\n</li></ul>, <p><b>Licensure / Certification:</b></p>, <ul>\r\r\n<li>None\r\r\n</li></ul>, <p><b>Working Conditions:</b></p>, <ul>\r\r\n<li>General office environment; may be required to sit/stand for long periods of time</li></ul>]
## 130 [<p>Do you have a desire to make a difference? Are you interested in creating forward-thinking solutions? At UCS, we welcome diversity of thought, intellect, and thinking outside the box. We don't just accept difference - we celebrate it. We are a pioneering Health and Information Technology firm that prides ourselves on our ability to create lasting, innovative solutions. We transform the way our customers operate and offer you an opportunity to make a true difference in our Nation. From supporting national defense efforts, to advancing healthcare access, you'll be engaged in tackling the challenging issues our Country faces. Help us build groundbreaking solutions and learn what it takes to make your mark on the world. Grow with us and see Intelligence at Work.</p>, <p>Universal Consulting Services, Inc. is currently seeking a Jr. Data Scientist / Analyst to support a federal customer in San Antonio, TX.</p>, <p><b>Qualifications required</b>:</p>, <ul>\r\r\n<li>1 – 2 years of relevant experience.</li>\r\r\n<li>Demonstrated ability to work independently. Interacts in a professional manner with internal and external customers. Can conduct proactive follow up.</li>\r\r\n<li>Proven ability to identify and implement solutions to improve clinical and business data quality.</li>\r\r\n<li>Experience working in a leadership role within Resource Management, Group Practice Management, Health Plans Management and Readiness is desired.</li>\r\r\n<li>Knowledge of the CHCS/AHLTA and/or M2 file and table structures. Demonstrative knowledge, skills and ability to run/download basic and/or standard queries from M2 (i.e. enrollment, clinical workload).</li>\r\r\n<li>General knowledge of medical coding practices and processes – International Classification of Diseases (ICD)-9/10 and Current Procedural Terminology (CPT)/Healthcare Common Procedure Coding System (HCPCS).</li>\r\r\n<li>General knowledge of healthcare clinical and business processes. Prepare and/or update briefing papers/slides on various financial, administrative, and business process matters. Develop and maintain an operational plan containing project planning information for use by management. Proficient in Microsoft Office products.</li>\r\r\n<li>Experience with integration of performance planning goals to meet the objectives of the MHS, VA and/or AFMS is desired.</li>\r\r\n<li>Knowledge of MHS MEPRS/Defense Medical Human Resources System Internet (DMHRSi), Manpower, Program Objective Memorandum (POM) processes Finance, and Referral Management/Access to Care. Ability to create standard queries in M2.</li>\r\r\n<li>Ability to gain access to some of the following MHS information systems: the Military Health System Management and Reporting Tool (M2), Composite Health Care System (CHCS), Health Services Data Warehouse (HSDW), MHS Genesis Medical Readiness Decision Support System (MRDSS) and other applicable systems as developed.</li></ul>, <p>UCS is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or religion or other legally protected status.</p>, <p>\r\r\nhttp://ucs-inc.com/</p>]
## 131 [<p>\r\r\nNow we have our sights set on upending the wireless industry and unseating the entrenched incumbent carriers.</p>, <p>\r\r\nWe are driven by curiosity, pride, adventure, and a desire to win – it’s in our DNA. We’re looking for people with boundless energy, intelligence, and an overwhelming need to achieve to join our team as we embark on the next chapter of our story.</p>, <p>\r\r\nOpportunity is here. We are DISH.</p>, <ul><li>\r\r\nBachelor's degree from four-year college or university; or two years related experience and/or training; and four plus years of experience; or equivalent combination of education and experience.</li><li>\r\r\nKnowledge of advanced modeling and statistical techniques such as logistic regression, neural nets, and clustering</li><li>\r\r\nSQL and database skills in Oracle, Teradata and/or SQL Server\r\r\n</li><li>Solid experience with data mining methodologies and tools such as SAS Enterprise Miner, R, or similar platforms</li><li>\r\r\nExperience with both technical and non-technical presentation of analytic results.\r\r\n</li></ul>, <ul><li>\r\r\nUse SAS and SQL development skills to perform data mining/predictive analytics activities: data quality assessment; data profiling; design and development of analytic data sets; statistical analysis and modeling; application of analytic algorithms for predictive modeling, segmentation, forecasting, and optimization; presentation of analytic results; documentation of all activities.</li><li>\r\r\nWork with clients to understand requirements and potential uses for predictive and descriptive analyses</li><li>\r\r\nProvide analytical support for campaign strategy development, campaign test and measurement design and post-campaign analysis;</li><li>\r\r\nDevelop and execute advanced queries, selects and marketing reports;</li><li>\r\r\nProvide support for ad hoc analytical projects, including customer-level analysis, segmentation analysis, product affinity and customer profiling analysis; and,</li><li>\r\r\nDevelop and implement data mining and analysis education and training programs</li></ul>]
## 132 [<p>Job Category:</p>, <p>\r\r\n-</p>, <p>\r\r\n-</p>, <p>\r\r\nJob Expectations:</p>, <ul><li>Develops complex programming (SAS/SQL) code to extract data to help define, launch and evaluate business initiatives</li><li>Analyzes data to identify opportunities, draw conclusions, make actionable recommendations and solve business issues</li><li>Helps to develop statistical models to predict customer behavior patterns, this includes appropriate test and validation data sets</li><li>Helps to assess projects and recommends appropriate statistical/design of experiment methodology and best practices to implement analysis plans in order to accomplish strategic objectives</li></ul>, <ul><li>Combined business intelligence technical skills with business analysis skills to drive business results</li><li>2+ years of business intelligence experience, including data analysis & data mining</li><li>Create, modify and manage predictive statistical models as required</li><li>Proficient user of SAS statistical software or equivalent analytic tools</li><li>Bachelor’s degree in Data Analytics, Mathematics, Statistics or related quantitative field or work experience.</li><li>Strong knowledge of business. Excels at thinking strategically, working proactively with business partners, and understanding the drivers of business profitability. Experience in the financial services industry a plus.</li></ul>, <p>\r\r\nTime Type:</p>]
## 133 [<p><b>Job Title:</b> Data Scientist - Generalist<br/>\r\r\n<br/>\r\r\n<b>Position Overview</b><br/>\r\r\n<br/>\r\r\nWe are looking for entry level Data Scientists to join our growing team! The successful candidates will work with the data science and engineering teams to collect, process, and analyze data from projects relating to energy, healthcare, finance, and logistics.<br/>\r\r\n<br/>\r\r\n<b>Responsibilities and Job Duties</b><br/>\r\r\n</p>, <ul><li>\r\r\nIngest and organize data from various sources (e.g. CSV, relational database)</li><li>\r\r\nProcess data using typical data science techniques (e.g. deduping, imputation)</li><li>\r\r\nConduct analyses using common DS techniques, such as:<ul><li>\r\r\nLinear / logistic regression</li><li>\r\r\nDecision tree algorithms (e.g. random forest)</li><li>\r\r\nClustering algorithms (e.g. K-means)</li><li>\r\r\nSupport vector machine (SVM)</li></ul></li><li>\r\r\nAnalyze and visualize data using common data science packages, such as:<ul><li>\r\r\nNumpy</li><li>\r\r\nPandas</li><li>\r\r\nMatplotlib</li><li>\r\r\nPlotly</li></ul></li><li>\r\r\nWork in a highly collaborative environment to brainstorm, design, implement and deliver solutions to some of the most challenging industrial IOT problems</li></ul>, <ul><li>\r\r\nLinear / logistic regression</li><li>\r\r\nDecision tree algorithms (e.g. random forest)</li><li>\r\r\nClustering algorithms (e.g. K-means)</li><li>\r\r\nSupport vector machine (SVM)</li></ul>, <ul><li>\r\r\nNumpy</li><li>\r\r\nPandas</li><li>\r\r\nMatplotlib</li><li>\r\r\nPlotly</li></ul>, <p><b>\r\r\nQualifications and Skills</b></p>, <ul><li>\r\r\nMinimum 1-2 years of experience solving data science problems</li><li>\r\r\nProgramming experience in Python, Java, and/or Matlab</li></ul>, <p><b>\r\r\nPreferred Requirements</b></p>, <ul><li>\r\r\nMasters or PhD</li><li>\r\r\nApplication of data science solutions in industrial projects\r\r\n</li><li>Domain expertise in energy, healthcare, finance, and/or logistics</li><li>\r\r\nResearch experience with high impact publications</li></ul>]
## 134 [<p>The Data Scientist designs and develops processes to support and measure clinical program impacts using eligibility, medical, and pharmacy administrative claims. This position is responsible for performing work that includes study design, measurement and publishing results of complex pharmacy and medical health insurance clinical programs (e.g., medical policy, utilization management, adherence, and medication therapy management[MTM] analyses).\r\r\n</p>, <p>Responsibilities\r\r\n</p>, <ul><li>Design, develop and apply statistical theories and methods to solve complex technical problems\r\r\n</li><li>Define detailed report requirements for new decision support reports as assigned\r\r\n</li><li>Use multivariate modeling statistical software (SAS, SPSS, etc.) to create and maintain listings, tabulations, graphical summaries, and formal statistical estimates and tests\r\r\n</li><li>Perform predictive modeling for clinical program development/enhancement and adherence\r\r\n</li><li>Create statistically sound data sets, analysis methods, and scientific reports, assess quality of data analysis programs, and develop automated analysis tools where appropriate\r\r\n</li><li>Other duties as assigned\r\r\n</li></ul>, <p>Minimum Qualifications\r\r\n</p>, <ul><li>Bachelor’s degree in statistics, mathematics, epidemiology, or related area of study, or equivalent combination of education and/or relevant work experience; HS diploma or GED is required\r\r\n</li><li>5 years of related work experience with large data sets\r\r\n</li><li>Experience querying databases with software SAS, R, Python, and SQL.\r\r\n</li><li>Must be eligible to work in the United States without need for work visa or residency sponsorship\r\r\n</li></ul>, <p>Additional Qualifications\r\r\n</p>, <ul><li>Excellent verbal and written communication skills\r\r\n</li><li>Team Collaboration\r\r\n</li></ul>, <p>Preferred Qualifications\r\r\n</p>, <ul><li>PBM experience\r\r\n</li><li>Coding knowledge and experience with several languages.\r\r\n</li><li>Advanced SAS experience in UNIX environment\r\r\n</li><li>Research Master's degree (e.g., M.S., M.P.H.) or equivalent work experience\r\r\n</li></ul>, <p>Minimum Physical Job Requirements\r\r\n</p>, <ul><li>Ability to travel up to 10%\r\r\n</li><li>Constantly required to sit, use hands to handle or feel, talk and hear\r\r\n</li><li>Frequently required to reach with hands and arms\r\r\n</li><li>Occasionally required to stand, walk and stoop, kneel, and crouch\r\r\n</li><li>Occasionally required to lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds\r\r\n</li><li>Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus\r\r\n</li></ul>, <p>Reporting Structure\r\r\n</p>, <ul><li>Reports to Principal Data Scientist in the Specialty and Clinical Consultative Services department\r\r\n</li></ul>, <p><i>Prime Therapeutics LLC is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, disabled, and other diverse candidates to apply and be considered for open positions.</i></p>]
## 135 [<p><b>Requisition ID:</b> 27144</p>, <p>\r\r\nWindLogics provides innovative forecasting and optimization solutions that enable low cost, reliable and sustainable power systems.</p>, <p><b>\r\r\nPosition Specific Description</b></p>, <p>\r\r\nWindLogics is a renewable energy forecasting and optimization company that performs R&D and new product development for our parent company, NextEra Energy. We’re currently looking for Data Scientists to join our Applied Math Group in St. Paul, Minnesota.</p>, <p>\r\r\nAs a Data Scientist in the Applied Math Group you will be asked:</p>, <ul><li>\r\r\nTo solve the problems by applying techniques from mathematics, statistics, computer science, and related disciplines</li><li>\r\r\nTo develop new products and services in collaboration with WindLogics’ engineering, science and business teams</li><li>\r\r\nTo apply mathematical formulations, scientific rigor and an independent viewpoint to business analyses</li><li>\r\r\nTo respond quickly and effectively to new (and recycled) business problems as they arise.<br/>\r\r\n</li></ul>, <p>\r\r\nThe Applied Math team is looking for Data Scientists who want to understand the mathematical properties of the algorithms they use; to write and share the best possible code; to keep learning new tools, algorithms and approaches; and to put their skills to work for one of the largest renewable energy fleets in the world.</p>, <p><b>Job Overview</b>\r\r\n</p>, <p>This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (i.e., “Big Data”).</p>, <p><b>Job Duties & Responsibilities</b>\r\r\n</p>, <ul><li>Develops machine learning, optimization and other modeling solutions</li><li>\r\r\nPrepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses</li><li>\r\r\nManipulates and analyzes data sets</li><li>\r\r\nPerforms other job-related duties as assigned</li></ul>, <p><b>Required Qualifications</b>\r\r\n</p>, <ul><li>Bachelor’s Degree</li><li>\r\r\nExperience: 5+ years</li></ul>, <p><b>Preferred Qualifications</b>\r\r\n</p>, <ul><li>Master’s Degree</li><li>\r\r\nDoctoral Degree</li></ul>, <p><b>Employee Group:</b> Exempt<br/>\r\r\n<b>Employee Type:</b> Full Time<br/>\r\r\n<b>Job Category:</b> Science, Research, and Technology<br/>\r\r\n<b>Organization:</b> WindLogics Inc<br/>\r\r\n<b>Location:</b> St. Paul, Minnesota<br/>\r\r\n<b>Other Work Locations: </b>Minnesota<br/>\r\r\n<b>Relocation Provided:</b> Yes, if applicable</p>, <p>\r\r\nNextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law. We are committed to a diverse and inclusive workplace.<br/>\r\r\n<br/>\r\r\nIf you require special support or accommodation while seeking employment with NextEra Energy, please send an e-mail to AskHR@NEE.com, providing your name, telephone number and the best time for us to reach you. Alternatively, you may call 1-844-694-4748 (Option 1, Press 6) between 8 a.m. and 5 p.m. EST Monday-Friday. Please do not use this line to inquire about your application status.<br/>\r\r\n<br/>\r\r\nNextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.<br/>\r\r\n<br/>\r\r\nNextEra Energy <b>does not</b> accept any unsolicited resumes or referrals from <b>any third-party recruiting firms or agencies</b>. Please see our policy for more information.</p>, <p>\r\r\n#LI-NG1</p>]
## 136 [<p>Do you have a desire to make a difference? Are you interested in creating forward-thinking solutions? At UCS, we welcome diversity of thought, intellect, and thinking outside the box. We don't just accept difference - we celebrate it. We are a pioneering Health and Information Technology firm that prides ourselves on our ability to create lasting, innovative solutions. We transform the way our customers operate and offer you an opportunity to make a true difference in our Nation. From supporting national defense efforts, to advancing healthcare access, you'll be engaged in tackling the challenging issues our Country faces. Help us build groundbreaking solutions and learn what it takes to make your mark on the world. Grow with us and see Intelligence at Work.</p>, <p>Universal Consulting Services, Inc. is currently seeking a Jr. Data Scientist / Analyst to support a federal customer in San Antonio, TX.</p>, <p><b>Qualifications required</b>:</p>, <ul>\r\r\n<li>1 – 2 years of relevant experience.</li>\r\r\n<li>Demonstrated ability to work independently. Interacts in a professional manner with internal and external customers. Can conduct proactive follow up.</li>\r\r\n<li>Proven ability to identify and implement solutions to improve clinical and business data quality.</li>\r\r\n<li>Experience working in a leadership role within Resource Management, Group Practice Management, Health Plans Management and Readiness is desired.</li>\r\r\n<li>Knowledge of the CHCS/AHLTA and/or M2 file and table structures. Demonstrative knowledge, skills and ability to run/download basic and/or standard queries from M2 (i.e. enrollment, clinical workload).</li>\r\r\n<li>General knowledge of medical coding practices and processes – International Classification of Diseases (ICD)-9/10 and Current Procedural Terminology (CPT)/Healthcare Common Procedure Coding System (HCPCS).</li>\r\r\n<li>General knowledge of healthcare clinical and business processes. Prepare and/or update briefing papers/slides on various financial, administrative, and business process matters. Develop and maintain an operational plan containing project planning information for use by management. Proficient in Microsoft Office products.</li>\r\r\n<li>Experience with integration of performance planning goals to meet the objectives of the MHS, VA and/or AFMS is desired.</li>\r\r\n<li>Knowledge of MHS MEPRS/Defense Medical Human Resources System Internet (DMHRSi), Manpower, Program Objective Memorandum (POM) processes Finance, and Referral Management/Access to Care. Ability to create standard queries in M2.</li>\r\r\n<li>Ability to gain access to some of the following MHS information systems: the Military Health System Management and Reporting Tool (M2), Composite Health Care System (CHCS), Health Services Data Warehouse (HSDW), MHS Genesis Medical Readiness Decision Support System (MRDSS) and other applicable systems as developed.</li></ul>, <p>UCS is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or religion or other legally protected status.</p>, <p>\r\r\nhttp://ucs-inc.com/</p>, <p><b>THIS POSITION IS CURRENTLY ACCEPTING APPLICATIONS.</b></p>]
## 137 [<p>Ball Aerospace leads the way in designing, developing and manufacturing innovative aerospace systems. We take on some of the most complex and exciting challenges in the universe-from space and Earth science to national security and intelligence programs.</p>, <p>\r\r\nWe produce spacecraft, instruments and sensors, RF and microwave technologies, data exploitation solutions, and a variety of advanced aerospace technologies and products. In addition, we pioneered the development of the commercial remote sensing market, producing spacecraft and imaging systems that helped spawn a market-driven demand for imagery.</p>, <p>\r\r\nOur success is built on more than products or systems. Our team of more than 3,000 engineers, scientists, technicians and support staff drives all the achievements at Ball Aerospace. Whether contributing to a better understanding of the universe or helping keep our nation safe, our people bring their diverse backgrounds, perspectives and skills together to achieve a common mission.</p>, <p><b>Engineer I – Data Scientist</b></p>, <p><b>\r\r\nWhat you’ll do:</b></p>, <ul>\r\r\n<li>Support the Mission & Process Analytics organization in advanced data analytics and the development of qualitative and quantitative models to extract information from data for data discovery.</li>\r\r\n<li>Remain current with industry as it relates to data analysis and applications to Ball Aerospace.</li>\r\r\n<li>Consult with business units, process owners, engineers and other subject matter experts to understand their data analytic needs & provide analysis recommendations and/or results.</li>\r\r\n<li>Create, apply, and improve process measures of effectiveness. Responsibility includes the application of data analytics as a means of measuring performance and informing corrective action.</li>\r\r\n<li>Support a Continuous Improvement methodology that includes optimizing process effectiveness.</li>\r\r\n<li>Support the development of valued metrics that inform the continuous improvement cycle and/or provide additional insights and opportunities.</li>\r\r\n<li>Develop methods, processes, and models that provide a closed-loop approach to process optimization through the application of SPC.</li>\r\r\n<li>Work alongside the Mission & Process Analytics team to bring new analytics capability to Mission Assurance & Ball Aerospace.</li>\r\r\n<li>Maintain a regular and predictable work schedule.</li>\r\r\n<li>Establish and maintain effective working relationships within the department, the Strategic Business Units, Strategic Support Units and the Company. Interact appropriately with others in order to maintain a positive and productive work environment.</li>\r\r\n<li>Perform other duties as necessary.</li>\r\r\n</ul>, <p><b>What you’ll need:</b></p>, <ul>\r\r\n<li>BS in Engineering, Statistics or a related technical field is required, plus 2 or more years of related experience.</li>\r\r\n<li>Each higher-level degree, i.e., Master’s Degree or Ph.D., may substitute for two years of experience. Related technical experience may be considered in lieu of education. Degree must be from a university, college, or school which is accredited by an agency recognized by the US Secretary of Education, US Department of Education.</li>\r\r\n<li>Advanced degree in Data Science, Mathematics, Statistics or Engineering Management with emphasis in statistics preferred</li>\r\r\n<li>Demonstrated business acumen generating a strong balance between the business needs and process implementation. Demonstrated capability of (end to end data project) generating or understanding a hypothesis, evaluating data needs and expectations; manipulating data to provide appropriate data sets and results; and reaching conclusions against the hypothesis.</li>\r\r\n<li>Hands-on experience using structured & unstructured data to solve engineering hypotheses.</li>\r\r\n<li>Strong presentation, communication & interpersonal skills.</li>\r\r\n<li>Experience with statistical analysis package (i.e. SPSS, SAS, Minitab, R, Python, etc.)</li>\r\r\n<li>Strong Collaboration skills maintaining composure with emotional conversations around process, not being trapped in the emotion, rather informed.</li>\r\r\n<li>Demonstrated business acumen & presentation skills as it pertains to defending business cases that support the use of data analytics to meet business unit strategic goals or business needs.</li>\r\r\n<li>Proven strategic agility being very patient with adoption of process change while continuously generating what is effective with our process direction.</li>\r\r\n</ul>, <p><b>Working Conditions:</b></p>, <ul>\r\r\n<li>Work is performed in an office, laboratory, production floor, or clean room, outdoors or remote research environment.</li>\r\r\n<li>May occasionally work in production work centers where use of protective equipment and gear is required.</li>\r\r\n<li>May access other facilities in various weather conditions.</li>\r\r\n<li>Travel and local commute between Ball campuses and other possible non-Ball locations may be required.</li>\r\r\n</ul>, <p>Relocation for this position is Available</p>, <p><b>US CITIZENSHIP OR PERMANENT RESIDENCY IS REQUIRED</b><br/>\r\r\n<br/>\r\r\nEqual Opportunity Employer<br/>\r\r\n<br/>\r\r\nMinority, Female, Disabled, Lesbian, Gay, Bi-sexual, Transgender and Veterans.</p>]
## 138 [<ul><li>\r\r\nThis includes gathering and integrating large volumes of data, performing analysis, interpreting results and developing actionable insights and recommendations for use across the company.</li><li>\r\r\nResearch techniques may include statistical, modeling, machine learning, and data mining.</li><li>\r\r\nRecommends solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets, evaluates the potential impact of changes and reports on economic forecasts that affect the industry.</li></ul>]
## 139 [<p><b>Requisition ID:</b> 27797</p>, <p>\r\r\nOur reliability is one of the best in the nation, and we’re working to make it even better. We live here too. That’s why we’re committed to making Florida a better place. Join our team today Learn more</p>, <p><b>\r\r\nPosition Specific Description</b></p>, <p>\r\r\nSmile you’ve found us! At NextEra Energy, our people are our greatest asset and our Data Ream is looking for Sr. Data Scientists to join the organization!</p>, <p><br/>\r\r\nIn this role you will be responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. You will use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and “Big Data”.</p>, <p>\r\r\nCandidates with the following experience will be highly considered:</p>, <ul><li>\r\r\nPossesses a strong familiarity with business processes and the ability to learn new ones</li><li>\r\r\nUses knowledge of business processes to identify focus areas and improvement opportunities</li><li>\r\r\nEstablishes and manages effective customer relationships with all business areas</li><li>\r\r\nSelecting features, building and optimizing classifiers using machine learning techniques</li><li>\r\r\nData mining using state-of-the-art methods</li><li>\r\r\nExtending company’s data with third party sources of information when needed</li><li>\r\r\nEnhancing data collection procedures to include information that is relevant for building analytic systems</li><li>\r\r\nProcessing, cleansing, and verifying the integrity of data used for analysis</li><li>\r\r\nDoing ad-hoc analysis and presenting results in a clear manner</li><li>\r\r\nCreating automated anomaly detection systems</li><li>\r\r\nBuilds strong knowledge of the technical solution being delivered and can analyze and determine failure points</li></ul>, <p>\r\r\nHighly Desired Skills</p>, <ul><li>\r\r\nExcellent understanding of machine learning techniques and algorithms</li><li>\r\r\nExperience with common data science toolkits, such as R, MatLab, etc</li><li>\r\r\nExperience with data visualisation tools, such as PowerBI and others.</li><li>\r\r\nProficiency in using query languages such as SQL, Hive, etc.</li><li>\r\r\nExperience with NoSQL databases, such as MongoDB, HBase, etc</li><li>\r\r\nGood applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>\r\r\nGood scripting and programming skills</li><li>\r\r\nDemonstrates strong oral and written communication skills</li></ul>, <p><b>Job Overview</b>\r\r\n</p>, <p>This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (i.e., “Big Data”).</p>, <p><b>Job Duties & Responsibilities</b>\r\r\n</p>, <ul><li>Develops machine learning, optimization and other modeling solutions</li><li>\r\r\nPrepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses</li><li>\r\r\nManipulates and analyzes data sets</li><li>\r\r\nPerforms other job-related duties as assigned</li></ul>, <p><b>Required Qualifications</b>\r\r\n</p>, <ul><li>Bachelor’s Degree</li><li>\r\r\nExperience: 5+ years</li></ul>, <p><b>Preferred Qualifications</b>\r\r\n</p>, <ul><li>Master’s Degree</li><li>\r\r\nDoctoral Degree</li></ul>, <p><b>Employee Group:</b> Exempt<br/>\r\r\n<b>Employee Type:</b> Full Time<br/>\r\r\n<b>Job Category:</b> Science, Research, and Technology<br/>\r\r\n<b>Organization:</b> Florida Power & Light Company<br/>\r\r\n<b>Location:</b> Juno Beach, Florida<br/>\r\r\n<b>Other Work Locations: </b>Florida<br/>\r\r\n<b>Relocation Provided:</b> Yes, if applicable</p>, <p>\r\r\nNextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law. We are committed to a diverse and inclusive workplace.<br/>\r\r\n<br/>\r\r\nIf you require special support or accommodation while seeking employment with NextEra Energy, please send an e-mail to AskHR@NEE.com, providing your name, telephone number and the best time for us to reach you. Alternatively, you may call 1-844-694-4748 (Option 1, Press 6) between 8 a.m. and 5 p.m. EST Monday-Friday. Please do not use this line to inquire about your application status.<br/>\r\r\n<br/>\r\r\nNextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.<br/>\r\r\n<br/>\r\r\nNextEra Energy <b>does not</b> accept any unsolicited resumes or referrals from <b>any third-party recruiting firms or agencies</b>. Please see our policy for more information.</p>, <p>\r\r\n#LI-AM1</p>]
## 140 [<ul><li>Preferred Masters of Science in Computer Science, Math or Scientific Computing; Data Analytics, Machine Learning or Business Analyst nanodegree; or equivalent experience. Experience:<br/>\r\r\n</li><li>Typically requires 10 or more years experience or PhD in an approved field with a minimum of 6 years of relevant experience</li></ul>]
## 141 [<ul><li>A passion for technology to drive a new generation of data and machine learning</li><li>\r\r\nBe collaborative</li><li>\r\r\nWill think outside the box and push analytic insights into action</li><li>\r\r\nAbility to work in a fast paced environment</li><li>\r\r\nSelf-driven to excel</li><li>\r\r\nStrong communication skills, verbal and written</li></ul>, <ul><li>\r\r\nMining data for insights, apply predictive modeling, machine learning and data science solutions to enhance clients business/portfolios in the healthcare industry</li><li>\r\r\nProvide value to clients through advanced actionable analytics and data driven solutions</li><li>\r\r\nApply CRISP-DM across all analytics exercises.</li><li>\r\r\nBuild, assess and maintain models that predict propensity of an event of interest to occur in a lifetime of an entity</li><li>\r\r\nPrepare reports and documentation surrounding projects</li></ul>, <ul><li>\r\r\nBachelor’s degree from an accredited college or university with major course work in Computer Science, MIS or a related field is required.</li><li>\r\r\nEquivalent work experience is a similar position may be substituted for educational requirements</li></ul>, <ul><li>\r\r\nMinimum three years’ experience with code development and performing data analysis (predictive analytics and machine learning) to support business needs</li><li>\r\r\nProficiency in reading, writing and speaking English</li></ul>, <ul><li>\r\r\nThree years’ experience in SQL programming</li><li>\r\r\nThree years’ experience in any Relational Databases (PostgreSQL, MySQL, Informix, SQL Servier, Oracle DB, Greenplum)</li><li>\r\r\nThree years’ experience with statistical tools (SAS, SPSS. R, RapidMiner, Simul8, Oracle Crystal Ball, Minitab, Pandas, Spark MLlib, WEKA, SciPy etc.)</li><li>\r\r\nLanguages: Python, Pig, R, Base SAS, SPSS, Perl</li><li>\r\r\nTwo years’ experience with Data Mining, Predictive Modeling, Machine Learning, AI (Regression, ANN, Decision Trees, Clustering, Text Mining, Sentiment Analysis, Forecasting)</li><li>\r\r\nOne year experience with data visualization tools such as Tableau, Microstrategy, Power B, Qlik</li><li>\r\r\nPast experience with medical claims, healthcare, insurance or in the payment accuracy space preferred</li></ul>]
## 142 [<p><b>Job Req ID:</b> 84944</p>, <p>Looking for your next opportunity? If so, choose Parkland and discover what a meaningful job feels like. Whether you work directly with patients or use your talent to support our care, you’ll be part of a team that’s providing valuable health services to Dallas County residents. And here, you’ll have the opportunity to put all your skills to work, and the support to grow and advance in your job and your field. Step into a career that will make a substantial difference for our patients—and for you. We blend cultures, talents, and experience into an exemplary health and hospital system. Parkland has earned distinction as one of America’s Best Hospitals by U.S News and World Report every year since 1994.</p>, <ul><li>Must have a Masters in Statistics, Applied Mathematics, Computer Science, Computer Engineering, Physics, or a related field.\r\r\n</li><li>Prefer (PhD) in above field(s).</li></ul>, <ul><li>Minimum of 4 years of experience in a hospital or clinic setting working with physicians and staff involved in patient care.</li><li>Minimum of 4 years of experience working in the area of information systems and knowledge of standards, system configuration, decision support and information systems as well as all regulatory requirements of a medical institution.</li><li>Must have experience in working with projects that resulted in the melding of multiple business cultures and significant organizational change related to the automation of clinical and administrative functions.</li><li>Must have experience in conducting evaluations and assessments, i.e. change readiness assessments, workflow optimization assessments, etc.</li><li>Must have experience in clinical system implementations throughout the project life-cycle, performing workflow analysis, testing, training, go-live support, system upgrades, and issues management.</li></ul>, <ul><li>May have an equivalent combination of education and experience to substitute for both the education and the experience requirements.\r\r\n</li><li>May have experience as a principle investigator or in clinical research analytics capacity.</li></ul>, <ul><li>Must be recognized by peers as an outstanding conceptualizationist and solutions architect.</li><li>Must have working knowledge of hospital organization and operations, administrative standards, regulations and practices. Must have working knowledge of Parkland and Medicine Services/Care Management organization and operations, administrative standards, regulations and practices within three months of job assignment.</li><li>Must have expert level knowledge regarding EMR, word processing, database, and spreadsheet software.</li><li>Must have strong analytic and computer skills in addition to an extensive knowledge of database management and data analysis.</li><li>Must be fluent in advanced data programming language and statistical analysis software (be able to program in R, STATA, SPSS, or SAS statistical software).</li><li>Must be able to demonstrate a working knowledge of program evaluation methods, statistical analysis, research skills, management information systems, and strategic planning.</li><li>Exceptional planning skills with a results-oriented record of achievement and the ability to set goals, meet deadlines and evaluate results particularly in regard to significant changes within an organization and with respect to the organization¿s relationship with the community or marketplace.</li><li>Must have strong written and verbal communication skills, have a high level of attention to detail, and have the ability to manage multiple projects at once.</li><li>Must be a quick learner. Good analytical and problem-solving skills</li><li>Must be able to work in a team environment.</li><li>Sets high standards of performance for self.</li><li>Must be able to demonstrate a high skill level in the use of Microsoft Word, Excel, and PowerPoint software.</li></ul>, <p><b>\r\r\nParkland Health and Hospital System prohibits discrimination based on age (40 or over), race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, genetic information, disability, national origin, marital status, political belief, or veteran status.</b></p>, <p><br/>\r\r\n<b>Nearest Major Market: </b>Dallas\r\r\n<br/>\r\r\n<b>Nearest Secondary Market: </b>Fort Worth\r\r\n<br/>\r\r\n<b>Job Segment: </b>Medical, Patient Care, Medical Research, Clinical Research, Healthcare</p>]
## 143 [<p><b>City</b></p>, <p>\r\r\nRochester</p>, <p><b>\r\r\nState</b></p>, <p>\r\r\nMinnesota</p>, <p><b>\r\r\nTelecommute</b></p>, <p>\r\r\nNo</p>, <p><b>\r\r\nDepartment</b></p>, <p>\r\r\nHealth Sciences Research</p>, <p><b>\r\r\nWhy Mayo Clinic</b></p>, <p>\r\r\nData science, through the emergence of artificial intelligence research and applications in health care, is unifying several theoretical and computational disciplines to advance the practice of healthcare. Mayo Clinic has a rich tradition of collecting and utilizing healthcare and basic research data starting as early as 1900s with pioneering a unified, indexed medical record system. Mayo Clinic strives to remain a world leader for advanced quantitative approaches and novel insights from the diverse landscape of health care data.</p>, <p>\r\r\nThe Department of Health Sciences Research at Mayo Clinic is seeking applications for a faculty position in Data Science to assist in these efforts. Resources to support investigations include a clinical data warehouse containing over twenty years of EMR and supporting data for 9.2 million patients, vibrant radiology practice with state-of-the-art imaging modalities and deep, multi-decadal digital image repository, reference labs including digital pathology, biomedical engineering programs, genomic data, and drug discovery pipelines. Mayo Clinic also leads a national agenda in precision medicine as the biorepository for the NIH All of Us initiative.</p>, <p><b>\r\r\nPosition description</b></p>, <p>\r\r\nWe are looking for a motivated and talented individual with strong interest in advancing data science in biomedical and healthcare domain in order to transform clinical practice and precision medicine.\r\r\n</p>, <p>The successful candidate will be expected to lead and sustain a research program in data science and work collaboratively with colleagues to advance data science in healthcare transformation and precision medicine. A track record or clearly articulated vision for developing novel methods that can drive improvements in health care through advancements in population health management, clinical decision support, digital pathology, individualized medicine, or health care management is preferred. Successes will be measured by scientific productivity, extramural funding, national and international leadership, institutional citizenship. This person will hold academic rank at Mayo Clinic commensurate with experience and qualifications.</p>, <p><b>\r\r\nLicense or certification</b></p>, <p><b>\r\r\nCandidates must have a PhD, MD or equivalent degree </b>in their respective disciplines with a quantitative science background. Early, middle and senior level candidates are welcomed. Early stage candidates should have demonstrated scientific productivity; evidence of successful competition of external funding is preferred. Middle or senior level candidates should have national leadership and strong extramural funding records.</p>, <p><b>\r\r\nApplications should include a cover letter, CV and statement of research interests.\r\r\n</b></p>, <p><b>Benefits eligible</b></p>, <p>\r\r\nYes</p>, <p><b>\r\r\nSchedule</b></p>, <p>\r\r\nFull Time</p>, <p><b>\r\r\nSite description</b></p>, <p>\r\r\nEvery year, more than 1 million patients from all 50 states and nearly 150 countries choose Mayo Clinic for their medical care. Mayo Clinic has a legacy of inspiring hope and contributing to health and well-being by providing the best care to every patient through integrated clinical practice, education and research.</p>, <p>\r\r\nMayo Clinic has campuses in Rochester, MN; Scottsdale and Phoenix, AZ; Jacksonville, FL; and throughout the multistate network of Mayo Clinic Health System. Each campus is an integral part of its community and reflects Mayo Clinic's deeply held values.</p>, <p><b>\r\r\nCategory</b></p>, <p>\r\r\nPhysicians & Scientists</p>, <p><b>\r\r\nCareer profile</b></p>, <p>\r\r\nResearch</p>, <p><b>\r\r\nSpecialty</b></p>, <p>\r\r\nResearch</p>, <p><b>\r\r\nJob posting number</b></p>, <p>\r\r\n100600BR</p>, <p><b>\r\r\nRecruiter</b></p>, <p>\r\r\nJennell Prentice Endrizzi</p>, <p><b>\r\r\nEqual opportunity employer</b></p>, <p>\r\r\nMayo Clinic is an equal opportunity educator and employer (including veterans and persons with disabilities).</p>, <p>\r\r\nEmail</p>]
## 144
## 145 [<ul>\r\r\n<li>Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms</li>\r\r\n<li>Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions</li>\r\r\n<li>Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements</li></ul>, <ul><li> Bachelor's degree in Computer Science, Engineering, Mathematics or other business-related field</li></ul>, <ul><li> 3+ years of relevant consulting or industry experience</li></ul>, <ul><li> Experience working independently with minimal guidance</li></ul>, <ul><li> Strong problem solving and troubleshooting skills with experience exercising mature judgment</li></ul>, <ul><li> Proven experience effectively prioritizing workload to meet deadlines and work objectives</li></ul>, <ul><li> Ability to maintain the required Secret Security Clearance for this role</li></ul>, <ul><li> Individual will work on small teams to conceptualize, design, develop, test, and harden for deployment advanced analytics, e.g. algorithms in Python, R, VBA, Excel, and other tools as required by the client’s problem and environment</li></ul>, <ul><li> Will likely contribute to the design and development of visualizations and other decision products tailored to the advanced analytics and the client’s decision problem; will be required to both perform analytics and communicate analytic findings and outputs.<br/>\r\r\n</li></ul>, <ul><li> Prior professional services or federal consulting experience</li></ul>, <ul><li> Must have a strong orientation to quantitative, data-driven analysis including some of the following skills: Microsoft Excel – expert proficiency as demonstrated by advanced use of array and nested formulas and strong pivot table use; VBA is a plus but not required • Demonstrated understanding of statistics; • Programming languages: Python, R, VBA, SQL, C++ • Geographic Information Systems (GIS): ArcGIS, QGIS • Data Visualization: Tableau; Qlikview; D3, Spotfire, Oracle BI, Cognos BI</li></ul>, <ul><li> Experience working with quantitative analysis of structured, semi-structured, and unstructured data to assess contextual and spatial/temporal relationships in the data.<br/>\r\r\n</li></ul>, <p>As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.</p>, <p>\r\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]
## 146 [<p>Amgen is seeking a Senior Associate Data Scientist to be based in our Thousand Oaks, CA global headquarters, who will report into the Senior Data Scientist.</p>, <p>\r\r\nThe Next Generation Insights & Intelligence Amgen Full Potential (NGII AFP) initiative’s remit is to drive systematic utilization of data, analytics, artificial intelligence, and automation across all aspects of the business to reduce costs and increase revenue, speed and efficiency.</p>, <p>\r\r\nAs part of the Strategy, Commercialization & Innovation function, the Senior Associate Data Scientist will interface across Amgen’s value chain in advancing projects and technical deliverables for the NGII AFP. Responsibilities include executing on projects and/or providing technical input to projects involving data science, machine learning, and artificial intelligence across Amgen.</p>, <p>\r\r\nWith respect to projects executed within the scope of NGII, the Senior Associate Data Scientist may advance technical projects with aims to systematically integrate data, derive insights, and automate processes. These projects may touch across the entire value chain and hence offers the opportunity for the candidate to interact and learn from teams involved in Amgen processes ranging from R&D to Commercialization. Successful execution of these projects will not only demonstrate technical feasibility for advanced informatic capabilities but will also ultimately derive substantial business value for Amgen.</p>, <p><b>\r\r\nPrimary Responsibilities for the </b><b>Senior Associate Data Scientist </b><b>include:</b></p>, <ul><li>\r\r\nEngages with the business function to understand and identify opportunities to deliver business value</li><li>\r\r\nCollaborates with other Data Scientists on the team</li><li>\r\r\nDevelops requirements based on consulting with the respective business function</li><li>\r\r\ncontribute to the technical solution for the business function either through quick prototypes or engagement with broader technical team</li></ul>, <p><b>Basic Qualifications:</b></p>, <p>\r\r\nMaster’s degree</p>, <p>\r\r\nOR</p>, <p>\r\r\nBachelor’s degree and 2 years of Data Science experience</p>, <p>\r\r\nOR</p>, <p>\r\r\nAssociate’s degree and 6 years of Data Science experience</p>, <p>\r\r\nOR</p>, <p>\r\r\nHigh school diploma / GED and 8 years of Data Science experience</p>, <p><b>\r\r\nPreferred Qualifications:</b></p>, <ul><li>\r\r\nExperience with variety of data analysis and modeling methods particularly in their application to biological systems (i.e. Unsupervised (PCA, K-Means), Supervised (Linear/Logistic Regression including PLS, Deep Learning approaches), Bayesian, Fourier/Laplace</li><li>\r\r\nProficient in SQL, Python, R and familiar with big data approaches</li><li>\r\r\nFamiliarity and background with biotechnology processes and regulatory requirements</li><li>\r\r\nStrong analytical / quantitative skills</li><li>\r\r\nStrong communication and interpersonal skills</li><li>\r\r\nSelf-starter with the ability to take on several projects at one time</li><li>\r\r\nComfort and agility with changes in business priorities</li></ul>, <p>Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.</p>, <p>\r\r\nAmgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people’s lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world’s leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.</p>, <p>\r\r\n#DS2018</p>]
## 147 [<ul><li>Drives the process of designing and building big data solutions that achieve dynamic adaptive learning; Leads the product engineering team in the process of analyzing big data, identifying patterns, finding and answering important product questions;</li><li>Answers product questions with available data by using appropriate statistical techniques, algorithm design, modeling and optimization in conjunction with business acuity and storytelling capabilities;</li><li>Communicates findings in lay terms to product managers, engineers and other stakeholders; Plays a key role in evangelizing the data analysis results across the organization;</li><li>Drives the collection of new data and the refinement of existing data sources; Defines user action data to instrument;</li><li>Analyzes and interprets the results of product experiments;</li><li>Develops best practices for instrumentation and experimentation and communicates those to product engineering teams.</li></ul>, <ul><li>Master’s degree in Computer Science/Math/Statistics or relevant field AND Six (6) years of experience in data mining/analysis\r\r\n</li></ul>, <ul><li>Ability and passion for formulating research problems and defining performance benchmarks with given data and use case\r\r\n</li><li>Expert proficiency in manipulating and analyzing complex, high-volume, high-dimensionality data from varied sources using big data integration and analysis tools (R, Matlab, or Python)\r\r\n</li><li>Knowledge and experience in application of advanced statistical techniques (e.g. linear models, basis expansion and regularization, kernel methods, probabilistic graphical models / Bayesian Network, etc.)\r\r\n</li><li>Experience with distributed computing tools (e.g. Hadoop ecosystem) and deep data munging ability to prepare data for machine learning algorithms\r\r\n</li><li>Business acuity including understanding and comfort with expectations of accountability and profitability\r\r\n</li><li>Familiarity with relational databases</li><li>Experience with data cleansing, validation and general quality control principles\r\r\n</li><li>Familiarity with data life cycle management practices including sourcing, discovery, profiling, applying definitions, establishing relationships, data mining and documentation\r\r\n</li><li>Excellent verbal and written communication skills with ability to communicate complex quantitative analysis in a clear, precise, and actionable manner\r\r\n</li><li>Ability to pass required background check</li></ul>, <ul><li>Ph.D. in relevant technical field</li><li>Have experience and deep understanding of undirected probabilistic graphical models (Bayesian Network, Hidden Markov Model etc.)</li><li>Proficiency in R and one or more programming languages (C/C++, Java, Python, Ruby, PHP, etc.)\r\r\n</li><li>Experience with Hadoop, Hive, Impala, and/or Spark and unstructured data sources</li></ul>]
## 148 [<p>The Sensing Systems Lab in Intel Labs is investigating the future of sensing and analytics in a range of applications from autonomous driving, robotics to industrial IoT systems for smart manufacturing. We research AI-driven perception to enhance sensing systems that form the core of most autonomous systems. We seek a highly motivated Data Scientist to augment our efforts in this area. The candidate will research approaches to enhance sensor perception capabilities and be responsible for data analysis, algorithm development, creating inference pipelines, with a variety of high-dimensional (often fused) sensor data. Other research activities include implementation of machine learning/ deep learning models in low-compute platforms, and evaluating tradeoffs between performance and latency in critical applications.</p>, <ul><li>Strong analytical and problem solving skills.</li><li>Ability to work well both independently and in a diverse, global team.</li><li>Excellent communication skills.</li></ul>, <p><br/>\r\r\nThe position will be located in Santa Clara CA or Hillsboro, OR and requires interaction with co-researchers located in the US and India.</p>, <p>\r\r\nThis is an entry level position and will be compensated accordingly.</p>, <p>\r\r\n<b>\r\r\nQualifications</b><br/>\r\r\n</p>, <p>\r\r\nYou must possess the below minimum qualifications to be initially considered for this position. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences.</p>, <ul><li>The ideal candidate must have a Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Mathematics, Physics, or Biosciences or related field of study.</li></ul>, <ul><li>At least 1+ year of experience in:</li></ul>, <ul><li>\r\r\nMachine Learning and/or Statistics with expertise in techniques such as Classification, Regression, Decision Trees, SVMs, Genetic Algorithms, Clustering, Anomaly Detection and/or Time-series analysis.</li><li>\r\r\nDeep Learning and relevant frameworks, APIs, libraries (e.g, PyTorch, Tensorflow, Keras, OpenCV etc.)</li><li>\r\r\nProficiency in programming in at least one of Python, R, C/C++, MATLAB.</li></ul>, <ul><li>Experience with sensors spanning vision (camera, LiDAR, Radar etc.), acoustics (ultrasound), motion (accelerometers, gyroscopes etc.)</li><li>Experience or exposure to building prototypes using off the shelf components.</li><li>Experience with Probabilistic Graphical Models, Bayesian Networks and/or Deep Reinforcement Learning is a plus.</li></ul>, <ul><li>End-to-end algorithm development, benchmarking and evaluation experience.</li></ul>, <p>Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.</p>, <p><br/>\r\r\n<b>\r\r\nOther Locations</b><br/>\r\r\n<br/>\r\r\nUS, Oregon, Hillsboro</p>, <p>\r\r\n<b>\r\r\nPosting Statement</b><br/>\r\r\n<br/>\r\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.</p>]
## 149 [<p><b>Regular or Temporary:\r\r\n</b></p>, <p><b>Language Fluency: </b>English (Required)\r\r\n</p>, <p><b>Work Shift:\r\r\n</b></p>, <p>Position is open to Wilson or Charlotte, NC.\r\r\n</p>, <p><b>Essential Duties and Responsibilities:\r\r\n</b></p>, <p>Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.\r\r\n</p>, <p>1. Perform data mining and aggregating, querying multiple data sources (Flat Files, Excel, Access, SQL Server, DB2, etc.). Data validation to ensure accuracy, quality and integrity. Analyze data and provide results to other analysts or management.\r\r\n</p>, <p>2. Strong knowledge/understanding of data concepts and able to develop queries for statistical modeling and pattern recognition.\r\r\n</p>, <p>3. Create business case/white papers, present findings and lead initiative to resolve.\r\r\n</p>, <p>4. Utilize PC and/or internal systems/software. Perform analysis, compile and prepare reports, graphs and charts of data developed for business need or risk mitigation analysis. Document and maintain statistics, records and reports that support various processes, parameter and risk mitigation decisions or refine quality control standards. May include the creation of financial and/or loss reports.\r\r\n</p>, <p>5. Utilize, consult on, and occasionally design and create database structures to efficiently store critical business historical data.\r\r\n</p>, <p>6. Comparative integration of forecasted data with actual results, culminating in business impact projections and post-implementation assessments.\r\r\n</p>, <p><b>Required Skills and Competencies:\r\r\n</b></p>, <p>The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\r\r\n</p>, <p>1. Bachelor’s degree or equivalent education and related training or g raduate degree in an analytical area preferably in a data science, statistics, mathematics, or operations research\r\r\n</p>, <p>2. One year of data mining/analysis experience.\r\r\n</p>, <p>3. Ability to work independently in a detailed and deadline-oriented environment.\r\r\n</p>, <p>4. Understanding of data concepts such as neural networks, machine learning, statistical modeling and pattern recognition. Experience with integrated data capture and database structure design.\r\r\n</p>, <p>5. Demonstrated ability to represent department in projects and lead initiatives (including all life-cycles of the defined project).\r\r\n</p>, <p>6. Demonstrated proficiency in data analysis tools such as Python, R, SAS, Tableau, SQL\r\r\n</p>, <p>7. Excellent interpersonal skills and the ability to communicate (verbal and written) clearly to internal and external clients.\r\r\n</p>, <p>8. Ability to perform complex and sophisticated investigations, statistical analysis, and to ensure data integrity when performing analysis.\r\r\n</p>, <p>9. Possess a strong sense of urgency, strong independent reasoning and analytical, organizational and operational skills. Ability to analyze, process, and communicate information timely and accurately.\r\r\n</p>, <p>10. Ability to travel, occasionally overnight.\r\r\n</p>, <p>Desired Skills:\r\r\n</p>, <p>1. One years of financial services industry experience, including account opening\r\r\n</p>, <p>2. Strong knowledge of, and ability to apply various regulatory guidelines (includes one or more of the following): Regulation E, Regulation CC, Uniform Commercial Code (UCC), National Automated Clearing House (NACHA), Telephone Consumer Protection Act (TCPA), Visa rules, Identity Theft Red Flags, Regulation J, Office of Foreign Assets Control (OFAC), Bank Secrecy Act (BSA), Anti-Money Laundering (AML), Fair Credit Reporting Act (FCRA).\r\r\n</p>, <p>3. Familiarity with Six Sigma or Process Master Performance measurement methods (control charts, Pareto charts, diagrams).</p>]
## 150 [<p><b>At UCHealth, we do things differently</b><br/>\r\r\n</p>, <ul><li> Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.\r\r\n</li></ul>, <ul><li> Assess the effectiveness and accuracy of new data sources and data gathering techniques.\r\r\n</li></ul>, <ul><li> Develop custom data models and algorithms to apply to data sets.\r\r\n</li></ul>, <ul><li> Apply predictive modeling in a variety of applications, including forecasting, risk modeling and scoring, process optimization, and decision support.\r\r\n</li></ul>, <ul><li> Develop company A/B testing framework and test model quality.\r\r\n</li></ul>, <ul><li> Coordinate with different functional teams to implement models and monitor outcomes.\r\r\n</li></ul>, <ul><li> Develop processes and tools to monitor and analyze model performance and data accuracy.\r\r\n</li></ul>, <ul><li> Selecting features, building and optimizing classifiers using machine learning techniques\r\r\n</li></ul>, <ul><li> Data mining using state-of-the-art methods\r\r\n</li></ul>, <ul><li> Extending company's data with third party sources of information when needed\r\r\n</li></ul>, <ul><li> Enhancing data collection procedures to include information that is relevant for building analytic systems\r\r\n</li></ul>, <ul><li> Processing, cleansing, and verifying the integrity of data used for analysis\r\r\n</li></ul>, <ul><li> Doing ad-hoc analysis and presenting results in a clear manner\r\r\n</li></ul>, <ul><li> Creating automated anomaly detection systems and constant tracking of its performance</li></ul>, <ul><li> High School Diploma or GED\r\r\n</li></ul>, <ul><li> 5 years of relevant experience</li></ul>, <ul><li> Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.\r\r\n</li></ul>, <ul><li> Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.\r\r\n</li></ul>, <ul><li> Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.\r\r\n</li></ul>, <ul><li> Experience working with and creating data architectures.\r\r\n</li></ul>, <ul><li> We're looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:\r\r\n</li></ul>, <ul><li> A drive to learn and master new technologies and techniques.\r\r\n</li></ul>, <ul><li> Excellent written and verbal communication skills for coordinating across teams.\r\r\n</li></ul>, <ul><li> Data-oriented personality</li></ul>]
## 151 [<p>Job Title: Data Scientist</p>, <p>Location: Milwaukee, WI</p>, <p>Travel Required: Approximately 15% including international travel</p>, <p># of Openings: 8</p>, <p>Team: FG</p>, <p><b>Hiring at all levels! Are you interested in joining a multi-billion dollar, cutting-edge organization? Be one of the first engineers on Foxconn’s server design team at their corporate headquarters in Milwaukee, WI.</b></p>, <p><b>About Foxconn</b></p>, <p>Our new home in Southeastern Wisconsin includes facilities in Racine and our North American headquarters in downtown Milwaukee. Headquartered in Taiwan, Foxconn helps build products for many of the leading U.S. and international brands and household names in electronics. Foxconn also contributes to the development of a vibrant global 8K-5G ecosystem. Foxconn’s state-of-the-art $10 billion campus in southeastern WI is expected to create over 13,000 jobs and be the size of 11 Lambeau Fields!</p>, <p><b>The Ideal Candidate</b></p>, <p>We are seeking individuals who enjoy the challenge of performing in a start-up environment and have a desire to revolutionize a whole new industry. New hires will build a legacy and have a direct impact on the current and future state of Foxconn’s culture.</p>, <p><b>Responsibilities</b></p>, <p>The Data Scientist is responsible for designing and implementing statistical/Machine Learning/Deep Learning models for factory use cases. The data scientist will cultivate strong relationships with all key stakeholders. The data scientist will engage with customers to develop and customized data analytics solutions to address special needs.</p>, <p>You must be a team player capable of working across multiple function teams to ensure delivery of successful products. As one of the first on this team, we are looking for experienced talented professionals with the following skills and abilities:</p>, <ul><li>Design and implement statistical/Machine Learning/Deep learning models for factory use cases</li>\r\r\n<li>Cultivate strong relationships with all key stakeholders</li>\r\r\n<li>Scale out modeling capacity by driving infrastructure improvements</li>\r\r\n<li>Support integration of models into tools for use by product engineers and business analysts</li>\r\r\n<li>Engage with customers to develop and customized data analytics solutions to address special needs</li>\r\r\n</ul>, <p><b>Role Requirements</b></p>, <ul><li>Master’s degree in electrical engineering, computer engineering or computer science. PhD is preferred</li>\r\r\n<li>5+ years of experience</li>\r\r\n<li>High level skill in Python/R/C/C++, SQL/NoSQL</li>\r\r\n<li>Research field in Statistics/Machine learning/Deep learning.</li>\r\r\n<li>5+ experience in successfully developing and implementing predictive models in the production environment.</li>\r\r\n<li>Strong problem solving and troubleshooting skills, with the ability to evaluate the long term implications and consequences of potential solutions</li>\r\r\n<li>Ability to work effectively both independently and as part of a team to contribute ideas and insights into project decisions</li>\r\r\n<li>Strong verbal and written communication skills required for sharing ideas with other departments and the customer</li>\r\r\n<li>Office-based role, fast-paced work environment</li>\r\r\n<li>Travel - Approximately 15% including international travel.</li>\r\r\n</ul>, <p><b>What we offer</b></p>, <ul><li>Range of Health insurance options for employees (including vision and dental)</li>\r\r\n<li>10 days paid vacation as well as sick and personal days</li>\r\r\n<li>10 paid holidays</li>\r\r\n<li>A dynamic and growing work environment</li>\r\r\n<li>401k with company match after 1 year of service</li>\r\r\n</ul>, <p>Foxconn provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Foxconn complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation and training.</p>]
## 152
## 153 [<ul>\r\r\n<li>Conducting research to engineer practical solutions to data analytics challenges</li>\r\r\n<li>Developing software frameworks to manage and analyze streaming intelligence data from various sources</li>\r\r\n<li>Collaborating with Laboratory, for-profit contractors, and sponsor teams to address critical sponsor needs</li>\r\r\n<li>Effectively communicating results with non-expert audiences, and generating innovative ideas to benefit the country</li>\r\r\n</ul>]
## 154 [<p>Formulate clinical & operational questions into quantitative models such that their solution is implemented in software using computational methods, and/or data visualization.<br/>\r\r\n<br/>\r\r\nUtilize and excellent working knowledge of SQL used to pull data from the VA's corporate data warehouse.<br/>\r\r\n<br/>\r\r\nFormulate and defend their own analysis plans and articulate their needed resources. Expected to independently execute the approved plan.<br/>\r\r\n<br/>\r\r\nAddress technical and administrative challenges independently (i.e. negotiating database storage privileges, arrange for software packages to be installed from Office of IT etc.) that may come up during the execution of a project.<br/>\r\r\n<br/>\r\r\nMake recommendations on new or modified developments, priorities, and objectives to improve performance in major facility operations. Specifically, the incumbent must have the ability to make inferences about policy improvements, work flow adjustments etc, from their work on data.<br/>\r\r\n<br/>\r\r\nIndependently lead the analytical plan and articulate findings in a way that is coherent to both technical and non-technical audiences using plain language and visualization.<br/>\r\r\n<br/>\r\r\nConduct formal and informal presentations, as required, to justify and defend administrative aspects of the projects that needs to be carried out (i.e. simulating the outpatient consultation system to better predict access to care, predicting the choice of empirical antibiotics, gauging the accuracy of colonoscopies in colon cancer prevention, establish gold standards for wound care in wound care clinics etc.).<br/>\r\r\n<br/>\r\r\nParticipate in the preparation and presentation or briefings to officials regarding study results.<br/>\r\r\n<br/>\r\r\nProvide management with latest information and predictive advice concerning various alternative courses of action in resolving exceedingly complex problems as described above.<br/>\r\r\n<br/>\r\r\nDevelop and implement an analytical pipeline in the form of a deployable application<br/>\r\r\nto be used by staff.<br/>\r\r\n<br/>\r\r\nDocument own work, prepare report for officials and for academic presentation and publications.<br/>\r\r\n<br/>\r\r\nFamiliar with IRB submissions, grantsmanship, and research methodologies to assist in operation research happening in the service.<br/>\r\r\n<br/>\r\r\nWork Schedule: Monday - Friday 8:00 am - 4:30 pm<br/>\r\r\nCompressed/Flexible Schedule: No<br/>\r\r\nTelework Available: No<br/>\r\r\nVirtual: This is not a virtual position.<br/>\r\r\nPosition Description Title/PD#: Statistician, #00308-0<br/>\r\r\nBargaining Unit: Yes\r\r\n<br/>\r\r\nFair Labor Standards Act (FLSA): Exempt\r\r\n<br/>\r\r\nFinancial Disclosure Report: Not Required<br/>\r\r\nRecruitment/Relocation Incentive is not authorized.<br/>\r\r\n</p>, <p>\r\r\nTo qualify for this position, applicants must meet all requirements by the closing date of this announcement.<br/>\r\r\n<br/>\r\r\nTime-in-Grade Restriction - Applicants who are current Federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements. The grade may have been in any occupation but must have been held in the Federal service. An SF-50 that shows your time-in-grade eligibility must be submitted with your application materials. Note: Time-In-Grade requirements also apply to former Federal employees applying for reinstatement as well as current employees applying for Veterans Employment Opportunities Act of 1998 (VEOA) appointment.<br/>\r\r\n<br/>\r\r\nYou may qualify based on your experience as described below:<br/>\r\r\n<br/>\r\r\nMinimum Education Requirement:<br/>\r\r\n<br/>\r\r\nA. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.<br/>\r\r\n<br/>\r\r\nNOTE: As indicated in A above credit toward meeting statistical course requirements will be granted for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing. Additionally, to receive credit for coursework that is not catalogued on the transcript as Statistics or contain 'statistics' in the course title, applicants must attach an official course description for the course that clarifies that the course has statistical content, or written documentation (documentation must be on official school letterhead) from a professor or a school official verifying that the content of a course has either met the 50% statistics course requirements or was a statistical course if the course name in your transcript is not entitled as statistics.<br/>\r\r\n<br/>\r\r\nOR<br/>\r\r\n<br/>\r\r\nB. Combination of education and experience - courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.<br/>\r\r\n<br/>\r\r\nIf you do not submit sufficient academic documentation necessary to demonstrate that you meet the eligibility and minimum qualification requirements described in this announcement, your application will be deemed incomplete and you will be ineligible for further consideration for this vacancy.<br/>\r\r\n<br/>\r\r\nIn addition to meeting the Basic Entry Requirements above, applicants must have the experience listed below:<br/>\r\r\n<br/>\r\r\nSpecialized Experience: To qualify for the GS-12 grade level applicants must have one-year specialized experience at least equivalent to the GS-11 grade level, which is directly related to the position to be filled, and which has provided the candidate with the knowledge, skills and abilities to successfully perform the duties of this position. Experience must demonstrate the following: expert knowledge and mastery in applying a wide range of advanced computational methods in simulation (i.e., agent based modelling), statistics (logistic regression, multinomial regression, survival analysis ), machine learning (random forest, SVM, neural networks), feature extraction/feature engineering, data transformation specifically in their application in healthcare operation/healthcare research and advanced data visualization (i.e., web/interactive visualization). In addition the application must demonstrate the ability to learn and master new unfamiliar computational methods with minimal instruction or oversight; show expert knowledge in an upper level programing language the like of Python, Matlab, Java, R in ability to manipulating data for the sake of data filtering, statistical & machine learning modeling, model selection, model validation and data visualization; development on PC and/ or Linux/Unix; working knowledge in using SQL language; Python notebooks to generate complex publication ready material and academic press be in in print and/or on the web; and working knowledge in MS-word, Latex, R markdown. OR,<br/>\r\r\n<br/>\r\r\nEducation: Applicants may substitute education for the required experience. To qualify based on education for this grade level you must have a Ph.D. or equivalent doctoral degree. OR,<br/>\r\r\n<br/>\r\r\nCombination: Applicants may also combine education and experience to qualify at this level. You must have a combination of specialized experience and education beyond a masters degree. Included in your education must be at least 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, or psychology.<br/>\r\r\n<br/>\r\r\nYou will be rated on the following competencies for this position:<br/>\r\r\nAnalysis and Problem Solving<br/>\r\r\nAnalytical Reasoning<br/>\r\r\nCommunication<br/>\r\r\nComputer Languages<br/>\r\r\nLogical System Design<br/>\r\r\nResearch<br/>\r\r\n<br/>\r\r\nNote: A full year of work is considered to be 35-40 hours of work per week. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.<br/>\r\r\n<br/>\r\r\nThe Office of Personnel Management (OPM) Group Coverage Qualification Standards for Professional and Scientific positions apply to this position in conjunction with the Individual Occupational Requirements for Statistics Series, 1530.<br/>\r\r\n<br/>\r\r\nExperience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.<br/>\r\r\n<br/>\r\r\nIN DESCRIBING YOUR EXPERIENCE, PLEASE BE CLEAR AND SPECIFIC. WE WILL NOT MAKE ASSUMPTIONS REGARDING YOUR EXPERIENCE.<br/>\r\r\n<br/>\r\r\nPhysical Requirements: The work is primarily sedentary, although some slight physical effort may be required.\r\r\n<br/>\r\r\n</p>, <p>None</p>, <p>\r\r\nTo apply for this position, you must provide a complete Application Package which includes:<br/>\r\r\n</p>, <ul><li>Resume</li></ul>, <ul><li>Cover Letter</li><li>\r\r\nDD-214</li><li>\r\r\nOF-306</li><li>\r\r\nOther</li><li>\r\r\nOther Veterans Document</li><li>\r\r\nResume</li><li>\r\r\nSF-15</li><li>\r\r\nSF-50</li><li>\r\r\nTranscript</li></ul>]
## 155 [<p>New Mexico State University is a comprehensive land-grant institution of higher learning accredited by the Higher Learning Commission of the North Central Association of Colleges and Universities. An active research university, NMSU anchors the southern end of New Mexico’s Rio Grande Research Corridor, exceeding $140 million in research and public service expenditures. NMSU is classified as a Hispanic-serving institution by the federal government with a total minority enrollment over 48%. Home to the state’s NASA Space Grant Program, NMSU is located in Las Cruces, which features desert mesas, the farmlands of the Rio Grande Valley, and the Organ Mountains, an extension of the Rocky Mountain chain. The University is committed to building a cultural diverse educational environment.</p>, <ul><li>Develop, study, and apply informatics methods, approaches, and processes to innovate and refine how data are collected, curated, organized, harmonized, visualized, and made accessible to a diverse community of users.</li><li>Develop and enhance systems, platforms and infrastructure needed to discover, filter, manipulate, harmonize, analyze, and share datasets.</li><li>Interpret and manage user requirements for scientific database and repository systems based on LTER network, national and international data standards and best practices.</li><li>Collaborate with other specialists to enhance the use and access of long-term data across long-term research sites.</li><li>Communicate with scientists to improve the usability, access, long-term storage, manipulation, and integration of datasets across projects.</li><li>Coordinate, track and implement timely updates of research data and metadata from scientists and students for the LTER database and via network information management systems, including online access.</li></ul>, <p>Under minimum supervision, may be assisted by entry/junior or intermediate staff providing functional and empirical analysis related to the design, development, and implementation of software operating systems, including but not limited to, utility software, development software, and diagnostic software on a classified project. Participates in the development of test strategies, devices and systems.</p>, <p>Works as part of a Government/contractor team. Usually works with minimum supervision, conferring with superior on unusual matters. May be assisted by Associate/Intermediate level personnel. Assignments are broad in nature, usually requiring originality and ingenuity. Has appreciable latitude for unreviewed action or decision. Full lifecycle application development. Designing, coding and debugging applications in various software languages. Software analysis, code analysis, requirements analysis, software review, identification of code metrics, system risk analysis, software reliability analysis. Object-oriented Design and Analysis (OOA and OOD). Software modeling and simulation. Front end graphical user interface design. Software testing and quality assurance. Performance tuning, improvement, balancing, usability, automation. Support, maintain and document software functionality. Integrate software with existing systems. Evaluate and identify new technologies for implementation. Project Planning and Project Management. Maintain standards compliance. Implement localization or globalization of software.</p>, <p>Knowledge and understanding of principles, procedures, regulations, and standards applicable to the job. Understanding of the University’s mission, vision and goals.</p>, <p>Short- and long-term planning; problem analysis and resolution; report preparation and presentation; interpersonal and organizational communication, both oral and written.</p>, <p>Develop and maintain effective working relationships; maintain accurate and orderly records; use independent judgment and initiative; organize and direct activities.</p>, <p>Bachelor’s degree in a related field.</p>, <p>Five (5) years of experience directly related to the standard duties as outlined.</p>, <ul><li>Master’s degree in Environmental Science, Computer Science, Agricultural Sciences, Engineering or related field, with at least 5 years relevant experience using and developing relational databases, data management and distribution and/or website interfacing\r\r\n</li><li>Familiarity with Ecological Metadata language (EML).</li><li>Expertise with procedural programming for science (e.g., Matlab, R, SAS)</li><li>Knowledge of web content management systems (Wordpress, Drupal, etc), interfacing with relational database systems using common programming languages (Pythos, PHP, etc) and processing and communications software in support of research and public data dissemination</li><li>Experience with database administration to optimize performance of databases (e.g., SQL server) and applications.</li><li>Ability to work as a member of a research team, and represent the team as the LTER site Information Manager at national science and technology meetings</li><li>Ability to communicate findings and recommendations to site leadership, assist and train researchers with their data documentation and organization.</li><li>Familiarity with common software packages used by ecologists (e.g., ArcGIS, Microsoft Office).</li></ul>, <p>Security clearance may be required depending on assignment.</p>, <ul><li>Experience with database queries and relational database management, using for example Microsoft SQL Server, PostgreSQL or similar systems.</li><li>Strong organizational skills, detail oriented, with an ability to work independently and meet tasks prioritized by the research team</li><li>Ability to troubleshoot network data flow connections, database errors, etc.</li></ul>, <p>For more information about this position, please contact Dr. Niall Hanan, Jornada Basin Long Term Ecological Research Program, Las Cruces, NM, USA nhanan@nmsu.edu.</p>, <p>\r\r\nThe electronic application is the <b>official</b> document that will be used to qualify applicants. Paper/email documents will not be accepted. Required documents must be attached to this application.</p>]
## 156 [<p><b>WHY CATALINA\r\r\n</b></p>, <p>Catalina’s personalized digital media connects shoppers to the brands we know they want. We do this by delivering only the most relevant ads and offers from their home to the aisle. And only Catalina knows the evolving purchase history and individual needs of more than three-quarters of (280 million) American shoppers. With the world’s largest shopper purchase history database driving all personalized media across our networks, Catalina drives lift and loyalty for the world’s leading CPG brands and retailers. We target consumers with the right behavior-based message when it’s most impactful via the channel that’s most likely to reach them — digital or in the store.\r\r\n</p>, <p><b>OUR TEAM\r\r\n</b></p>, <p>The Advanced Analytics and Data Science team at Catalina operates near the tip of spear, creating new, world-class science-based capabilities for external and internal clients, shepherding these initiatives from initial concept, prototyping / proof-of-concept, design, build, testing, training, and handoff. We use advanced machine learning, data science, operations research, statistics, and related analytics methodologies, operating on big data and delivered on a scalable computing platform using modern technologies. We illustrate value and drive to bring these capabilities to initial Production and ensure that these initiatives are successful when we hand off.\r\r\n</p>, <p>This position will report directly to the VP of Advanced Analytics and Data Science.\r\r\n</p>, <p><b>WHAT YOU WILL BE DOING\r\r\n</b></p>, <p>The Incumbent will\r\r\n</p>, <ul><li>Works on medium to large or complex projects that require subject matter expertise across multiple functional areas, operations or processes.\r\r\n</li><li>Leads project planning sessions with clients, business analysts, and team members to gather and analyze user requirements. Develops business case analysis to support recommendations\r\r\n</li><li>Formulates complex mathematical models in an appropriate programming language or application\r\r\n</li><li>Analyzes raw input data from computer or other media\r\r\n</li><li>Develops business case analysis to support recommendations\r\r\n</li><li>Validates and tests of models to ensure adequacy, or determines need for reformulation\r\r\n</li><li>Facilitates the design, development, and planning of viable solutions to complex business problems according to user specifications. Complies with project methodology requirements\r\r\n</li><li>Utilizes and stays current on applicable programming languages and software technologies\r\r\n</li><li>Track progress and report out to stakeholders\r\r\n</li><li>Provides direction, tools and process support to less senior associates\r\r\n</li><li>Know what quality means, strive for quality, design for quality, test and refine until a very high quality is achieved, and continuously improve\r\r\n</li><li>Deliver prototypes / proofs of concept\r\r\n</li><li>Recommend plans to bring to Production\r\r\n</li><li>This is a skilled position with minimal supervision required (supervision by manager once a week or so)\r\r\n</li></ul>, <p><b>WHAT YOU BRING TO THE TEAM\r\r\n</b></p>, <ul><li>Ph.D. in machine learning, computer science, engineering, mathematics, statistics, operations research, or related discipline AND 2+ years’ experience after graduate school in computation, data science, machine learning or related; <b>OR\r\r\n</b></li><li>Masters degree in (same disciplines mentioned above) <b>AND </b>4+ years’ experience; <b>OR\r\r\n</b></li><li>Bachelor degree <b>AND </b>6+ years’ experience\r\r\n</li></ul>, <ul><li>Computing skills: programming (e.g., C++), cloud distributed computing, python / R, machine learning framework(s) (e.g., sk-learn, tensorflow), linux, bitbucket, Target Process/JIRA or other issue-tracking\r\r\n</li><li>Good communications, verbally, and also have ability to construct cogent design documents, emails and PowerPoints\r\r\n</li><li>Atlanta-based. (Will entertain candidates willing to relocate to Atlanta.)\r\r\n</li><li>Ability to travel up to 25%\r\r\n</li></ul>, <p><b>ADDITIONAL PREFERRED SKILLS\r\r\n</b></p>, <ul><li>Sunny disposition, team player\r\r\n</li><li>Academic networking\r\r\n </li></ul>, <p><b>CATALINA CORE VALUES\r\r\n </b></p>, <p><b>Be a trusted partner </b>: Act with integrity and positive intent\r\r\n </p>, <p><b>Focus on the customer: </b>Keep the needs of both internal and external customers as well as\r\r\n </p>, <p>consumers front and center\r\r\n </p>, <p><b>Act like an owner: </b>Think holistically about how your role helps fulfill our Mission\r\r\n </p>, <p><b>Be innovative: </b>Share and scale the best ideas regardless of origin\r\r\n </p>, <p><b>Strive for simplicity: </b>Add meaning and eliminate complexity\r\r\n </p>, <p><b>Value personal and professional growth: </b>Contribute to an environment that enables\r\r\n </p>, <p>individual, team and organizational success\r\r\n</p>, <p><i>The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform other job-related tasks other than those specifically presented in this description.<br/>\r\r\n</i><br/>\r\r\n</p>, <p><i>All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.<br/>\r\r\n</i></p>, <p><br/>\r\r\n<i>We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.\r\r\n</i></p>, <p><b>Note to Recruiters and Placement Agencies </b>: We do not accept unsolicited resumes from outside recruiters /placement agencies. Catalina will not pay fees associated with resumes presented through unsolicited means.</p>]
## 157
## 158 [<ul>\r\r\n<li>Qualifications may warrant placement in a different job level*</li>\r\r\n</ul>]
## 159 [<p><b>Organization: Accenture Federal Services</b></p>, <p><b>\r\r\nLocation: San Antonio, TX</b></p>, <ul><li>\r\r\nIdentify data analytics problems</li><li>\r\r\nCollect large sets of structured and unstructured data from several disparate sources.</li><li>\r\r\nLeaning and validating Data, Data veracity and integrity</li></ul>, <ul><li>\r\r\n1 Year of experience with SAS</li><li><div>\r\r\n1 Year of experience with statistical modeling</div>\r\r\n</li><li>US Citizenship required (dual citizenship not eligible for consideration)</li></ul>, <ul><li>\r\r\nBig Data</li><li>\r\r\nTrend analysis</li><li>\r\r\nTime series analysis</li></ul>]
## 160 [<ul><li>Use healthcare payment, operational and clinical data and external data sets to create predictive algorithms to gain insights.\r\r\n</li><li>Automate existing models and metrics to track production performance.\r\r\n</li><li>Synthesize analysis and results into compelling story lines, and communicate findings.\r\r\n</li><li>Evangelize the power of analytics and machine learning to improve business and operations.\r\r\n</li><li>Performs other duties as assigned.\r\r\n</li></ul>, <ul><li>Required A Bachelor's Degree in Computer Science or Engineering, Information Systems, Applied Mathematics, Statistics, Operations Research or related\r\r\n</li><li>Preferred A Master's Degree in a related field Computer Science or Engineering, Information Systems, Applied Mathematics, Statistics, Operations Research or related\r\r\n</li></ul>, <ul><li>Required 3 years of experience in Data Science, Analytics, Statistics or comparable quantitative position\r\r\n</li><li>Preferred 2 years of experience in Healthcare\r\r\n</li></ul>, <ul><li>Advanced Other Deep understanding of machine learning and data mining techniques including but not limited to algorithms for NLP, image analysis, regression and classification.\r\r\n</li><li>Advanced Demonstrated interpersonal/verbal communication skills\r\r\n</li><li>Intermediate Demonstrated written communication skills\r\r\n</li><li>Intermediate Ability to work as part of a team\r\r\n</li><li>Advanced Ability to work in a fast paced environment with changing priorities\r\r\n</li><li>Intermediate Other Familiarity with Big Data technologies\r\r\n</li><li>Advanced Other Passion and ability to surface insights from large data sets and build a data-driven narrative\r\r\n</li><li>Intermediate Other Experience working with large volumes of data using variety of statistical tools and techniques\r\r\n</li><li>Advanced Other Ability to understand complex business problems and break down analytics projects into a structured approach\r\r\n</li><li>Advanced Other Knowledge of data sources, tools, statistical principles and methodologies, and techniques\r\r\n</li></ul>, <ul><li>Required Advanced Other Proven experience in Data Science toolsets such as Anaconda, Spark, Tensorflow, R, Python or similar\r\r\n</li><li>Required Advanced Other Experience manipulating data in SAS, SQL, R, Python, Scala or similar\r\r\n</li><li>Required Intermediate Other Big Data technologies such as Hadoop, Greenplum\r\r\n</li><li>Required Intermediate Other Statistical tools such as SPSS, SAS, ScyPy, etc.)\r\r\n</li><li>Required Intermediate Microsoft Excel\r\r\n</li><li>Preferred Intermediate Microsoft Project\r\r\n</li><li>Preferred Beginner Other Reporting Tools (Tableau, Cognos, D3)\r\r\n</li><li>Preferred Intermediate Microsoft Visio\r\r\n</li></ul>]
## 161 [<ul><div><b>Job Summary</b><br/>\r\r\n<br/>\r\r\nProvides expertise on highly complex system applications and advanced quantitative methodologies while working with large databases and other advanced analytical tools. This position proactively identifies new opportunities for the organization to improve on, using advanced scientific approaches and methods. Provides internal reporting and analysis for business data to perform substantive, comprehensive quantitative analyses to facilitate data-driven decision making and position the company competitively relative to outcomes, operations and profitability. Maybe responsible for leading cross functional teams using project management skills to achieve desired results.</div><div><b><br/>\r\r\nEssential Functions</b></div><li><div>\r\r\nAnalyzes and reports on highly complex customer needs. Manages and supports the identification and research of new developments and uses of current systems and applications, as well as upgraded systems and applications such as Teradata, SAS and Tableau.</div></li>\r\r\n<li><div>Facilitates cross-functional teams and/or leads projects with regional or company-wide scope to implement system or policy changes, determine policies and manage process improvement and redesign. This may also include providing oversight, general work direction or leadership to individuals on the team. Creates presentations and/or reports for management involving significant detailed analysis of multiple or highly complex data sources.</div></li>\r\r\n<li><div>Conducts complex analysis with advanced knowledge of statistics, predictive modeling, and data mining, to drive organizational results.</div></li>\r\r\n<li><div>Establishes and defines processes, documentation and standards for data quality, and provides expert advice to end users on data access to ensure adherence to critical operating standards of care.</div></li>\r\r\n<li><div>Partners across organization and related functional areas to understand internal customer needs related to service excellence, including but not limited to analytical, technology and automated reporting needs and determine the appropriate course of action, and make recommendations in an actionable format including to senior management, to achieve desired business results.</div></li>\r\r\n<li><div>Maintains optimal operation of departmental applications in partnership with IT or external software vendor, as appropriate. This may include leading the implementation, maintenance, testing and/or functional design. Coordinate activities of any third party data or research vendors to manage quality and consistent reports, always looking for enhancements.</div></li>\r\r\n<li><div>Keeps current on industry, standard and regulatory/compliance issues within assigned areas. Provides system and analytic consultation on these issues to customers.\r\r\n</div></li><li><div>Develops strong relationships with technology partners and collaborate in appropriate areas, including application design, system optimization, programming complex models, transferring large data feeds, and staying current on emerging technology related to all systems.</div></li><div><b>\r\r\nMinimum Qualifications</b><br/>\r\r\n<br/>\r\r\nMust possess a Bachelors Degree in Statistics, Epidemiology, Computer Sciences, Process Engineering, Business or related field.<br/>\r\r\n<br/>\r\r\nRequires minimum 7 years of analytic experience in one or multiple areas in clinical, financial, utilization, patient satisfaction, supply chain or related field. Must have experience in working with cross functional departments in order to serve as a liaison and provide relevant guidance or leadership. Must demonstrate ability to lead complex projects and cross-functional teams, including strong project management skills, to resolve, implement or reach consensus on issues. Excellent communication, interpersonal and critical thinking skills are required.Strong technical skills (SQL/Ansi SQL, SAS, Excel, Tableau, R, Python etc.).<br/>\r\r\n<br/>\r\r\n<b>Preferred Qualifications</b><br/>\r\r\n<br/>\r\r\nMasters degree or higher in relevant field Advanced knowledge of statistics, predictive modeling, and data mining is preferredAdvanced SQL/Ansi SQL programing skill<br/>\r\r\n<br/>\r\r\nAdditional related education and/or experience preferred.</div></ul>]
## 162 [<p>We are AAM. We have the POWER to move the world.\r\r\n</p>, <p>At AAM, we're looking for associates who push boundaries and drive solutions for the future. Innovators. Thinkers. Dreamers. Doers. No matter the role or function, every associate is a piece of what makes AAM great. We’re growing and building #TeamAAM to be the best. Join us!\r\r\n</p>, <ul><li>Work on Major Projects and Responsible for Deliverables.\r\r\n</li><li>Willing to Periodically Work Evenings/Weekends to Support Upgrades/launches.\r\r\n</li><li>Assist in the Preparation of Training Manuals/ user trainings.\r\r\n</li><li>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.\r\r\n</li><li>Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.\r\r\n</li><li>Ability to write PLSQL scripts packages, procedures, functions.\r\r\n</li><li>Data mining using state-of-the-art methods\r\r\n</li><li>Extending company’s data with third party sources of information when needed\r\r\n</li><li>Enhancing data collection procedures to include information that is relevant for building analytic systems\r\r\n</li><li>Processing, cleansing, and verifying the integrity of data used for analysis\r\r\n</li><li>Doing ad-hoc analysis and presenting results in a clear manner\r\r\n</li><li>Creating automated anomaly detection systems and constant tracking of its performance\r\r\n</li><li>Expert of R Language\r\r\n</li><li>Expert of Python\r\r\n</li><li>Understand Cloud Service environment. Preferably Oracle Cloud Era and Big data Discovery\r\r\n</li><li>Willing to learn new tools and technologies.\r\r\n</li><li>Maintain server operational, configuration, or other procedures and documentation.\r\r\n</li><li>Work with Database Administrators ongoing server performance tuning, hardware upgrades, and resource optimization as required. Compute storage, memory, and storage partitions as required.\r\r\n</li><li>Coordinate activities of vendors responsible for maintenance of AAM systems.\r\r\n</li><li>Basic understanding of IT Standards, Procedures and Policies. Ability to fully adopt company's standards and policies.\r\r\n</li></ul>, <ul><li>All other duties as assigned.<br/>\r\r\n</li></ul>, <p>A <b>bout American Axle & Manufacturing\r\r\n</b></p>, <p><i>For over 20 years, customers around the world have entrusted AAM to design, engineer, validate and manufacture driveline, metal forming, powertrain, and casting technologies for automotive, commercial and industrial markets. Today, we are a premier global Tier 1 automotive supplier with broad capabilities across multiple product lines to deliver efficient, powerful and innovative solutions for our customers. We’ve earned the trust of our suppliers and our customers through our steadfast commitments to quality, operational excellence and technology leadership.\r\r\n</i></p>, <p><i>AAM delivers power. We deliver power literally through vehicle components, systems and innovation, but we also deliver power in ways unseen. We power our associates, their families, and the communities in which we operate. Our global team of over 25,000 associates has a clear vision of where AAM is going and how we are going to get there. After all, they are the reason we are a leader in the automotive industry. We are powering the future. </i><b><i>We are AAM. Move with us, and join #TeamAAM.\r\r\n</i></b></p>]
## 163 [<p>Celebrating its twenty-fifth anniversary in 2016, Cyient is an acknowledged leader in engineering design services, design-led manufacturing, networks and operations, data transformation, and analytics. We collaborate with our clients to help them achieve more and together shape a better future. We call it Designing Tomorrow Together.\r\r\n</p>, <p>Our industry focus includes aerospace, defense, rail transportation, off-highway & industrial, power generation, mining, oil & gas, communications, utilities, geospatial, semiconductor and medical technology. We align closely with the business needs, goals, culture, and core values of our clients. This reflects in the deep, long-standing relationships we have developed and sustained with some of the leading names in these industries.\r\r\n</p>, <p><b>LOCATION\r\r\n</b></p>, <p><b>JOB DESCRIPTION SUMMARY\r\r\n</b></p>, <p><b>JOB DESCRIPTION\r\r\n</b></p>, <p>The position creates new footprint for data-driven innovation and value for our customers and prospects while providing analytical capabilities. You would be part of core team that would help design and develop advanced analytics solutions across functional areas as per client requirement/opportunities. Key requirements include an ability to communicate complex quantitative analysis with a lucid, precise, clear and actionable insight. You should be experienced in solving analytical problems using quantitative approaches. You would also invest your time in developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship from experts across industry.\r\r\n</p>, <p><b>Key Responsibilities\r\r\n</b></p>, <ul><li>Identify and manage the analysis and interpretation of clients' internal and external data to drive decision making.\r\r\n</li><li>Query databases and perform statistical, mathematical analysis\r\r\n</li><li>Work directly with customer teams to help design and generation of reporting frameworks that provide insight to the performance of clients’ business programs.\r\r\n</li><li>Create re-usable implementations of statistical tests and models (R, Python, SAS, SPSS etc.) using the available technologies.\r\r\n</li><li>Assist in customer engagement management, project scoping, timeline management, and results documentation to ensure professional relationship management.\r\r\n</li></ul>, <p>Requirements:\r\r\n</p>, <ul><li>Must have sound understanding of aerospace and aerospace systems particularly in design, manufacturing, test, operations, supply chain, aftermarket and MRO.\r\r\n</li><li>Must be strong on learning methods, data analytics, R/Python and Tableau.\r\r\n</li></ul>, <ul><li>Good in algorithm development with programming languages.\r\r\n</li><li>Must have strong understanding of statistics and machine learning.\r\r\n</li><li>Prior experience in R or Python and data analytics is preferred.\r\r\n</li></ul>, <ul><li>MS/PhD in Mechanical, Electrical, Computer Science or Aerospace Engineering from an accredited school\r\r\n</li><li>3+ years of applicable experience\r\r\n</li><li>US citizen/Green Card Required\r\r\n</li></ul>, <p>Cyient Inc. is an equal opportunity employer. If you are a team leader, self- motivated and willing to be a part of a global company apply now. Please visit www.Cyient.com to learn more about our company.</p>]
## 164 [<ul>\r\r\n<li>Advocate, evangelize and build data-fueled models that will help our organization improve decision making capabilities.</li>\r\r\n<li>Become an expert on our manufacturing, customer service, supply chain, products and engineering datasets.</li>\r\r\n<li>Will provide insight into leading analytic practices</li>\r\r\n<li>Design and lead iterative learning and development cycles</li>\r\r\n<li>Ultimately produce new and creative analytic solutions that will become part of our core deliverables</li>\r\r\n<li>Champion the use of data analytics and insight across the company</li>\r\r\n<li>Handle large data sets and complex queries to address a hyper growth and fast changing business</li>\r\r\n<li>Execute all phases of the application implementation from initial identification of a tool through completion and training the users of the system.</li>\r\r\n<li>Collaborate with the Data and IS team to develop tools and identify opportunities for improved data performance and efficiency</li>\r\r\n<li>Foster a focused and pragmatic approach combining advanced analytics, statistics, new technologies, and deep insights to drive decisions</li>\r\r\n<li>Lead applied analytics initiatives that are leveraged across the breadth of our solutions</li>\r\r\n<li>Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.</li>\r\r\n<li>Assess analytical tools, technology and external data acquisition; support proof-of-concepts that drive business success and sustained analytic growth.</li>\r\r\n<li>Use and promote data-exploration techniques to discover new or previously unasked questions.</li>\r\r\n<li>Communicate data findings to both business and IS partners to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.</li>\r\r\n<li>Collaborates with IS and other analysts cross functionally to develop, refine and scale data management and analytics procedures, systems, workflows, best practices and other issues.</li>\r\r\n<li>Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire organization.</li>\r\r\n<li>Influence stakeholders to make improvements that yield business value by effectively making compelling cases through story-telling, visualizations, and other influencing tools. • Contribute to the development of Swagelok’s comprehensive business intelligence framework, enabling the connection of data to information.</li>\r\r\n</ul>, <ul>\r\r\n<li>Minimum 7 to 10 years of experience delivering world-class data science outcomes</li>\r\r\n<li>Solving complex analytical problems using quantitative approaches</li>\r\r\n<li>Demonstrating a unique blend of analytical, mathematical and technical skills</li>\r\r\n<li>Propose analytics strategies and solutions that challenge and expand thinking</li>\r\r\n<li>Expert in analyzing large, complex, multi-dimensional datasets with a variety of tools</li>\r\r\n<li>Accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS</li>\r\r\n<li>Have experience with BI tools such as Qlikview, Tableau and SAP Business Objects</li>\r\r\n<li>Excel at making complex concepts simple and easy to understand</li>\r\r\n<li>Driven to show the world the power of applied analytics.</li>\r\r\n<li>Experience with various programming languages</li>\r\r\n<li>Proficient in SQL</li>\r\r\n<li>Problem solving mentality with a natural desire to dig to the underlying answers</li>\r\r\n<li>Strong statistical background that values meaningful insights and can separate the “noise from the signal”</li>\r\r\n<li>Master’s degree in a related field (Computer Science, Math, Statistics, Physics) or related fields. Ph.D. is preferred.</li>\r\r\n<li>Excellent interpersonal communication skills</li>\r\r\n</ul>, <ul>\r\r\n<li>Skilled in all aspects of conducting business intelligence research</li>\r\r\n<li>Excellent strategic thinking abilities and analytical skills</li>\r\r\n<li>Ability to evaluate business issues and opportunities that can be solved through attaining insight.</li>\r\r\n<li>Must be able to think above the tactical level</li>\r\r\n<li>Company awareness and ability to work and network with business partners and colleagues from different areas '</li>\r\r\n<li>Ability to deal with ambiguity</li>\r\r\n<li>Mastery of visual, written and oral communications</li>\r\r\n<li>Ability to organize and handle multiple requests and projects</li>\r\r\n<li>Ability to influence without authority, motivate others, and maintain high levels of respect for and from peers</li>\r\r\n<li>Formal project management skills highly desired.</li>\r\r\n</ul>, <ul>\r\r\n<li>Organizational awareness, business acumen, initiative, influence, customer orientation, coaching, teamwork and collaboration</li>\r\r\n</ul>, <ul>\r\r\n<li>Physical requirements associated with normal office working environment.</li>\r\r\n<li>Ability to operate standard office equipment.</li>\r\r\n<li>Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards. • Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state and local standards. Click here to enter text. Swagelok is proud to be an Equal Opportunity and Affirmative Action Employer. Applicants are selected without regard to race, ethnicity, creed, color, religion, sex (including pregnancy), age, national origin or ancestry, disability, genetic information, veteran/military status, sexual orientation, gender identity, or other protected characteristic under federal, state or local law. Swagelok will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990 and the Americans with Disabilities Act Amendments Act of 2008. This job summary is intended to be brief and does not list all the duties for this position. Nothing in this job description should be construed as an express or implied contract of employment. Swagelok is an at-will employer, which means that either party is free to terminate the employment relationship at any time, without any advanced notice, for any reason or no reason.</li>\r\r\n</ul>]
## 165 [<p>Do you have a desire to make a difference? Are you interested in creating forward-thinking solutions? At UCS, we welcome diversity of thought, intellect, and thinking outside the box. We don't just accept difference - we celebrate it. We are a pioneering Health and Information Technology firm that prides ourselves on our ability to create lasting, innovative solutions. We transform the way our customers operate and offer you an opportunity to make a true difference in our Nation. From supporting national defense efforts, to advancing healthcare access, you'll be engaged in tackling the challenging issues our Country faces. Help us build groundbreaking solutions and learn what it takes to make your mark on the world. Grow with us and see Intelligence at Work.</p>, <p>Universal Consulting Services, Inc. is currently seeking a Data Scientist / Analyst to support a federal customer in Falls Church, VA.</p>, <p><b>Qualifications required</b>:</p>, <ul>\r\r\n<li>Bachelor’s Degree in healthcare or Business Administration, Economics, Accounting, Mathematics, Applied Statistics, or Operational Research.</li>\r\r\n<li>10+ years of relevant experience.</li>\r\r\n<li>Demonstrated ability conducting thorough and comprehensive system-wide currency, business case and return on investment analysis for healthcare operations within the MHS, Veterans Administration (VA) or private sector. Experience in communicating in writing complex concepts and their effects/impacts on the target environment, such that a lay audience is capable of understanding.</li>\r\r\n<li>Proven ability to identify and implement solutions to improve clinical and business data quality.</li>\r\r\n<li>Experience working in a leadership role within Resource Management, Group Practice Management, or TRICARE Operations is desired.</li>\r\r\n<li>Demonstrated knowledge of the CHCS/AHLTA and/or M2 file and table structures or Military Data Repository (MDR).</li>\r\r\n<li>Demonstrated knowledge of medical coding practices and processes – International Classification of Diseases (ICD)-9/10 and Current Procedural Terminology (CPT)/Healthcare Common Procedure Coding System (HCPCS).</li>\r\r\n<li>Demonstrated knowledge of healthcare business processes. Prepare briefing papers on various financial, administrative, and business process matters. Prepare technical writing and information papers. Provide technical, administrative, editorial and graphics support for the purpose of preparing special reports, studies and analyses. Familiar with current and/or available business intelligence software/applications and data visualization tools.</li>\r\r\n<li>5+ years of experience with integration of performance planning goals to meet the objectives of the MHS, VA and/or AFMS is desired.</li>\r\r\n<li>5+ years of experience to include significant knowledge of MHS Medical Expense Personnel Reporting System (MEPRS) Defense Medical Human Resources System Internet (DMHRSi), Manpower, Program Objective Memorandum (POM) processes, Finance, and Referral Management/Access to Care.</li>\r\r\n<li>Ability to gain access to some of the following MHS information systems: the Military Health System Management and Reporting Tool (M2), Composite Health Care System (CHCS), Armed Forces Health Longitudinal Technology Application (AHLTA), Essentris, Pharmacy Data Transaction Service (PDTS), Theater Medical Data Store (TMDS), MEPRS/DMHRSi, Expense Assignment System Version IV (EAS IV), Air Force Corporate Health Information Processing Service (AFCHIPS), MDR, Health Services Data Warehouse (HSDW), MHS Genesis, Medical Readiness Decision Support System (MRDSS) and other applicable systems as developed.</li></ul>, <p>UCS is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or religion or other legally protected status.</p>, <p>\r\r\nhttp://ucs-inc.com/</p>]
## 166 [<ul><li><p>Apply knowledge and know? how of data science to applications pertinent to subject matter experts at MDA.\r\r\n</p></li><li><p>Collaborate with business units and end? users to create compelling and accurate data presentations based on the entire Data Analytics and reporting service suite.</p></li><li><p>\r\r\nDesign and prototype data ingestion, cleaning, curation, storage and retrieval, concentrating particularly on analytics, statistical modeling, dissemination and presentation.\r\r\n</p></li><li><p>Work with developers and data analysts from the Data Analytics team to build and maintain end? to? end user capabilities and interface based on business functional and performance requirements</p></li><li>\r\r\n Other duties as assigned</li></ul>, <p>Apply knowledge and know? how of data science to applications pertinent to subject matter experts at MDA.\r\r\n</p>, <p>Collaborate with business units and end? users to create compelling and accurate data presentations based on the entire Data Analytics and reporting service suite.</p>, <p>\r\r\nDesign and prototype data ingestion, cleaning, curation, storage and retrieval, concentrating particularly on analytics, statistical modeling, dissemination and presentation.\r\r\n</p>, <p>Work with developers and data analysts from the Data Analytics team to build and maintain end? to? end user capabilities and interface based on business functional and performance requirements</p>, <ul><li><p>\r\r\nHigh School Diploma (or GED) and 20 years general experience, or an associate degree and 18 years general experience, or BS degree and 16 years general experience, or a MS degree and 14 years general experience</p></li><li><p>\r\r\nRequires 14 years directly related experience; Related experience must be in one or more of the following: Java, Microsoft Certified Solutions Developer (MCSD), Elasticsearch ELK Stack (or other Big Data) ecosystem, Cloudera, Kafka, Linux (Redhat), SQL, JSON, C++, Python, R, C#, Ruby, Agile methodologies, Adobe Certified Expert (ACE)</p></li><li><p>\r\r\nMust have strong interpersonal skills and writing ability commensurate with programming skills, mathematical skills and statistical background</p></li><li><p>\r\r\nCandidate must possess a CompTIA Security+ with CE or higher or able to obtain certification within 30 days</p></li><li><p>\r\r\nMust be a US citizen and must be able to obtain and maintain an active DoD Secret clearance</p></li></ul>, <p>\r\r\nHigh School Diploma (or GED) and 20 years general experience, or an associate degree and 18 years general experience, or BS degree and 16 years general experience, or a MS degree and 14 years general experience</p>, <p>\r\r\nRequires 14 years directly related experience; Related experience must be in one or more of the following: Java, Microsoft Certified Solutions Developer (MCSD), Elasticsearch ELK Stack (or other Big Data) ecosystem, Cloudera, Kafka, Linux (Redhat), SQL, JSON, C++, Python, R, C#, Ruby, Agile methodologies, Adobe Certified Expert (ACE)</p>, <p>\r\r\nMust have strong interpersonal skills and writing ability commensurate with programming skills, mathematical skills and statistical background</p>, <p>\r\r\nCandidate must possess a CompTIA Security+ with CE or higher or able to obtain certification within 30 days</p>, <p>\r\r\nMust be a US citizen and must be able to obtain and maintain an active DoD Secret clearance</p>, <ul><li><div>\r\r\nExperience developing processes and training and cloud based system architectures and related tool</div></li><li><div>\r\r\nExperience in large development initiatives, developing high volume database applications, data warehousing, complex shell scripting, Agile methodology and publicor private cloud experience</div></li><li><div>\r\r\nExperience with Cloudera, Kafka, Logstash, Redhat, SQL, JSON, C++, Python, R, C#, Ruby, Agile Methodologies, Adobe Certified Expert (ACE).</div></li></ul>]
## 167 [<ul><li><p>Apply knowledge and know? how of data science to applications pertinent to subject matter experts at MDA.\r\r\n</p></li><li><p>Collaborate with business units and end? users to create compelling and accurate data presentations based on the entire Data Analytics and reporting service suite.</p></li><li><p>\r\r\nDesign and prototype data ingestion, cleaning, curation, storage and retrieval, concentrating particularly on analytics, statistical modeling, dissemination and presentation.\r\r\n</p></li><li><p>Work with developers and data analysts from the Data Analytics team to build and maintain end? to? end user capabilities and interface based on business functional and performance requirements</p></li><li>\r\r\n Other duties as assigned</li></ul>, <p>Apply knowledge and know? how of data science to applications pertinent to subject matter experts at MDA.\r\r\n</p>, <p>Collaborate with business units and end? users to create compelling and accurate data presentations based on the entire Data Analytics and reporting service suite.</p>, <p>\r\r\nDesign and prototype data ingestion, cleaning, curation, storage and retrieval, concentrating particularly on analytics, statistical modeling, dissemination and presentation.\r\r\n</p>, <p>Work with developers and data analysts from the Data Analytics team to build and maintain end? to? end user capabilities and interface based on business functional and performance requirements</p>, <ul><li><p>\r\r\nHigh School Diploma (or GED) and 20 years general experience, or an associate degree and 18 years general experience, or BS degree and 16 years general experience, or a MS degree and 14 years general experience</p></li><li><p>\r\r\nRequires 14 years directly related experience; Related experience must be in one or more of the following: Java, Microsoft Certified Solutions Developer (MCSD), Elasticsearch ELK Stack (or other Big Data) ecosystem, Cloudera, Kafka, Linux (Redhat), SQL, JSON, C++, Python, R, C#, Ruby, Agile methodologies, Adobe Certified Expert (ACE)</p></li><li><p>\r\r\nMust have strong interpersonal skills and writing ability commensurate with programming skills, mathematical skills and statistical background</p></li><li><p>\r\r\nCandidate must possess a CompTIA Security+ with CE or higher or able to obtain certification within 30 days</p></li><li><p>\r\r\nMust be a US citizen and must be able to obtain and maintain an active DoD Secret clearance</p></li></ul>, <p>\r\r\nHigh School Diploma (or GED) and 20 years general experience, or an associate degree and 18 years general experience, or BS degree and 16 years general experience, or a MS degree and 14 years general experience</p>, <p>\r\r\nRequires 14 years directly related experience; Related experience must be in one or more of the following: Java, Microsoft Certified Solutions Developer (MCSD), Elasticsearch ELK Stack (or other Big Data) ecosystem, Cloudera, Kafka, Linux (Redhat), SQL, JSON, C++, Python, R, C#, Ruby, Agile methodologies, Adobe Certified Expert (ACE)</p>, <p>\r\r\nMust have strong interpersonal skills and writing ability commensurate with programming skills, mathematical skills and statistical background</p>, <p>\r\r\nCandidate must possess a CompTIA Security+ with CE or higher or able to obtain certification within 30 days</p>, <p>\r\r\nMust be a US citizen and must be able to obtain and maintain an active DoD Secret clearance</p>, <ul><li><div>\r\r\nExperience developing processes and training and cloud based system architectures and related tool</div></li><li><div>\r\r\nExperience in large development initiatives, developing high volume database applications, data warehousing, complex shell scripting, Agile methodology and publicor private cloud experience</div></li><li><div>\r\r\nExperience with Cloudera, Kafka, Logstash, Redhat, SQL, JSON, C++, Python, R, C#, Ruby, Agile Methodologies, Adobe Certified Expert (ACE).</div></li></ul>]
## 168 [<p><b>Logistics done differently.</b></p>, <p>\r\r\nAt XPO Logistics, we know that the ability to capture and analyze data will help us to transform the logistics industry which means we need highly skilled people who love data. As the Data Scientist, you will be responsible for data wrangling, advanced programming, and statistical analysis (machine learning and data mining). We need you to take complex data, analyze it, draw meaningful conclusions, and communicate the findings in a manner that can be easily understood. In this role, you have the ability to positively affect XPO’s future through advice and counsel.</p>, <p><b>\r\r\nPay, benefits and more.</b></p>, <p>\r\r\nWe are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability, and the opportunity to participate in a company incentive plan.</p>, <p><b>\r\r\nWhat you’ll do on a typical day:</b></p>, <ul><li>\r\r\nWork with leadership to understand needs and align those to potential data and analytics efforts</li><li>\r\r\nGather and integrate data from various sources for use in advanced analytics efforts</li><li>\r\r\nIdentify, analyze, and interpret trends, patterns, and relationships in complex data sets using advanced analytics tools and models</li><li>\r\r\nPrepare findings in a professional manner, presenting on results and providing actionable recommendations to leadership</li><li>\r\r\nPromote a data-driven culture through ongoing partnership and dialog with the business</li></ul>, <p><b>\r\r\nWhat you need to succeed at XPO:</b></p>, <p>\r\r\nAt a minimum, you’ll need:</p>, <ul><li>\r\r\nBachelor’s degree in Statistics, Mathematics, Data Science, Economics, Physics, or analytics related field</li><li>\r\r\n1 year of experience in quantitative analytics</li><li>\r\r\nProficiency with Microsoft Office (Word, Excel, and Power BI), D3.js, Python, and R</li><li>\r\r\nStrong knowledge of database design, data models, and integration/extraction technologies</li><li>\r\r\nStrong knowledge of statistics and experience using statistical modeling (logistic regression, SVMs, etc.) to solve business problems</li><li>\r\r\nKnowledge of statistical modeling techniques: Linear/logistic regression (including advanced predictor selection techniques), classification (decision trees, random forests), Support Vector Machines (SVMs), neural networks, etc.</li></ul>, <p>\r\r\nIt’d be great if you also have:</p>, <ul><li>\r\r\nMaster’s degree in data science or related field</li><li>\r\r\n5 or more years of experience in quantitative analytics</li><li>\r\r\nExperience with text analytics (e.g. semantic analysis)</li><li>\r\r\nStrong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy</li></ul>, <p><b>\r\r\nBe part of something big.</b></p>, <p>\r\r\nXPO provides cutting-edge supply chain solutions to the world's most successful companies, including Disney, Pepsi, L'Oréal, Toyota and many others. We’re the fastest-growing transportation company on the Fortune 500 list and we’re just getting started.</p>, <p>\r\r\nWe are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran, or other protected status.</p>, <p>\r\r\nThe above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.</p>]
## 169 [<ul><li><b>Primary Location:</b> United States,New York</li><li><b>\r\r\nOther Location:</b> United States,New York,New York</li><li><b>\r\r\nEducation:</b> Bachelor's Degree</li><li><b>\r\r\nJob Function:</b> Technology</li><li><b>\r\r\nSchedule:</b> Full-time</li><li><b>\r\r\nShift:</b> Day Job</li><li><b>\r\r\nEmployee Status:</b> Regular</li><li><b>\r\r\nTravel Time:</b> No</li><li><b>\r\r\nJob ID:</b> 18019647</li></ul>, <ul><li>Ability to build risk or forecasting models with a hands-on appreciation of data complexity, volume, and domain (Structured and Unstructured) such as that found in large financial and banking institutions</li><li>Self sufficient in generating machine learning models with a custom tool set, such as creating their own java code, leveraging open source libraries or academic papers, or using Matlab</li><li>Familiarity with Hadoop (preferably Cloudera) and its tools, such as Spark, Impala, UDF for Hive etc.</li><li>Be capable to match Data labels to the participant information and any derived behavioral features, as these will be sourced from different systems without clear match keys</li><li>Be inquisitive and research-oriented, and try several machine learning approaches for this project, such as decision trees, factorization models, and deep learning at a minimum, and other techniques as desired\r\r\n</li><li>Define Key Performance Indicators to measure model accuracies and project success based on business goals. Be accountable to the overall quality of models developed</li><li>Must be able to write everything up, including detailed comparisons of model performance against the success criteria, and functional requirement documents that will be used to scale this project to a global firm-wide implementation</li><li>Have excellent communication skills and be comfortable working in a large matrix environment</li><li>Be prepared to work fully within Citi’s infrastructure due to data privacy and security concerns and could not export the data or any documentation to an external cloud service or their own personal devices.</li><li>Must to be accessible during regular business hours for meetings, workshops, and collaboration; even though working from University site and remote is expected.\r\r\n</li><li>Bachelors Degree in Computer Science or a related field of study</li></ul>]
## 170 [<p><b>Sr. Data Scientist\r\r\n</b></p>, <p><b>WHY CATALINA\r\r\n</b></p>, <p>Catalina’s personalized digital media connects shoppers to the brands we know they want. We do this by delivering only the most relevant ads and offers from their home to the aisle. And only Catalina knows the evolving purchase history and individual needs of more than three-quarters of (280 million) American shoppers. With the world’s largest shopper purchase history database driving all personalized media across our networks, Catalina drives lift and loyalty for the world’s leading CPG brands and retailers. We target consumers with the right behavior-based message when it’s most impactful via the channel that’s most likely to reach them — digital or in the store.\r\r\n</p>, <p><b>OUR TEAM\r\r\n</b></p>, <p>The Advanced Analytics and Data Science team at Catalina operates near the tip of spear, creating new, world-class science-based capabilities for external and internal clients, shepherding these initiatives from initial concept, prototyping / proof-of-concept, design, build, testing, training, and handoff. We use advanced machine learning, data science, operations research, statistics, and related analytics methodologies, operating on big data and delivered on a scalable computing platform using modern technologies. We illustrate value and drive to bring these capabilities to initial Production and ensure that these initiatives are successful when we hand off.\r\r\n</p>, <p>This position will report directly to the VP of Advanced Analytics and Data Science.\r\r\n</p>, <p><b>WHAT YOU WILL BE DOING\r\r\n</b></p>, <p>The Incumbent will\r\r\n</p>, <ul><li>Work on complex projects that require subject matter expertise across multiple functional areas, operations or processes\r\r\n</li><li>Formulates complex mathematical models in an appropriate programming language or application\r\r\n</li><li>Analyzes raw input data from computer or other media\r\r\n</li><li>Leads project planning sessions with clients, business analysts, and team members to gather and analyze user requirements.\r\r\n</li><li>Develops business case analysis to support recommendations\r\r\n</li><li>Validates and tests of models to ensure adequacy, or determines need for reformulation\r\r\n</li><li>Facilitates the design, development, and planning of viable solutions to complex business problems according to user specifications. Complies with project methodology requirements\r\r\n</li><li>Utilizes and stays current on applicable programming languages and software technologies\r\r\n</li><li>Track progress and report out to stakeholders\r\r\n</li><li>Provides direction, tools and process support to less senior associates\r\r\n</li><li>Know what quality means, strive for quality, design for quality, test and refine until a very high quality is achieved, and continuously improve\r\r\n</li><li>Deliver prototypes / proofs of concept\r\r\n</li><li>Recommend plans to bring to Production\r\r\n</li></ul>, <p><b>WHAT YOU BRING TO THE TEAM\r\r\n</b></p>, <ul><li>Ph.D. in machine learning, computer science, engineering, mathematics, statistics, operations research, or related discipline AND 2+ years’ experience after graduate school in computation, data science, machine learning or related; <b>OR\r\r\n</b></li><li>Masters degree in (same disciplines mentioned above) <b>AND </b>4+ years’ experience; <b>OR\r\r\n</b></li><li>Bachelor degree <b>AND </b>6+ years’ experience\r\r\n</li></ul>, <ul><li>Computing skills: programming (e.g., C++), cloud distributed computing, python / R, machine learning framework(s) (e.g., sk-learn, tensorflow), linux, bitbucket, Target Process/JIRA or other issue-tracking\r\r\n</li><li>Good communications, verbally, and also have ability to construct cogent design documents, emails and PowerPoints\r\r\n</li><li>Atlanta-based\r\r\n</li><li>Ability to travel up to 25%\r\r\n</li></ul>, <p><b>ADDITIONAL PREFERRED SKILLS\r\r\n</b></p>, <ul><li>Sunny disposition, team player\r\r\n</li><li>Academic networking\r\r\n </li></ul>, <p><b>CATALINA CORE VALUES\r\r\n </b></p>, <p><b>Be a trusted partner </b>: Act with integrity and positive intent\r\r\n </p>, <p><b>Focus on the customer: </b>Keep the needs of both internal and external customers as well as\r\r\n </p>, <p>consumers front and center\r\r\n </p>, <p><b>Act like an owner: </b>Think holistically about how your role helps fulfill our Mission\r\r\n </p>, <p><b>Be innovative: </b>Share and scale the best ideas regardless of origin\r\r\n </p>, <p><b>Strive for simplicity: </b>Add meaning and eliminate complexity\r\r\n </p>, <p><b>Value personal and professional growth: </b>Contribute to an environment that enables\r\r\n </p>, <p>individual, team and organizational success\r\r\n</p>, <p><i>The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform other job-related tasks other than those specifically presented in this description.<br/>\r\r\n</i><br/>\r\r\n</p>, <p><i>All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.<br/>\r\r\n</i></p>, <p><br/>\r\r\n<i>We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.\r\r\n</i></p>, <p><b>Note to Recruiters and Placement Agencies </b>: We do not accept unsolicited resumes from outside recruiters /placement agencies. Catalina will not pay fees associated with resumes presented through unsolicited means.</p>]
## 171 [<p>The Universities Space Research Association (USRA) has a mission to advance space-related sciences and exploration through innovative research, technology, and education programs that involve universities, governments, and the private sector for the benefit of humanity. Supporting that mission, the USRA Research Institute for Advanced Computer Science (RIACS) collaborates with the Data Science Group at NASA’s Ames Research Center to support the goal of better organizing, extracting and presenting relevant information buried in a variety of large real-world data sets using machine learning techniques.</p>, <p><b>\r\r\nPosition Summary</b>:</p>, <p>\r\r\nThe Machine Learning Data Scientist will conduct applied research and development on the application machine learning techniques to a portfolio of NASA applications with focus on aeronautics applications. The position will work with other data science team members, and serve as technical lead for a portfolio of projects related to aeronautics applications. The position will also be involved with development of proposals for new collaborations involving both academia and industry, for joint public-private initiatives to address key national challenges.</p>, <p><b>\r\r\nEssential Duties/Responsibilities</b>:</p>, <p>\r\r\nSatisfy USRA's non-profit mission my making a distinctive impact through scientific and technical accomplishments in the assigned research projects.</p>, <ul>\r\r\n<li>Support goal to better organize, extract and present relevant information buried in a variety of large real world data sets</li>\r\r\n<li>Requires familiarity with efficient data manipulation techniques with various data mining and machine learning methods applied to “Big data”, data with large volume, high velocity, high variability and changing definitions</li>\r\r\n<li>Be familiar with typical “applied data mining research”:</li>\r\r\n<ul><li>Assessment of existing methods’ suitability for application for targeted problem, articulate inadequacies in methods if any exist</li>\r\r\n</ul><li>Formulate and develop new methods or modifications of existing methods for targeted problems</li>\r\r\n<li>Document new methods in form of technical reports and Peer Reviewed Publications</li>\r\r\n<li>Ensure transparency of algorithms to user experience; develop software and visualization modes of presentation and interaction</li>\r\r\n</ul>, <ul><li>Assessment of existing methods’ suitability for application for targeted problem, articulate inadequacies in methods if any exist</li>\r\r\n</ul>, <ul><li>Directly perform, and publish, research at the highest standards as a PI, Co-I and as a member of larger research projects.\r\r\n<ul><li>Plan, schedule, and conduct activities in all phases of research projects, as a PI or Co-I and as a member of a larger research team.</li>\r\r\n<li>Assess suitability of different methods for targeted applications, and develop new methods and embody in software implementations as needed.</li>\r\r\n<li>Prepare research results for publication in reports, papers, journals, books, and other media.</li>\r\r\n</ul></li><li>Engage academic, industrial, and government research communities in collaborative research through activities such as seminars and other talks, workshops, and conferences.\r\r\n<ul><li>Prepare and deliver briefings and presentations to various national and international seminars, talks or lectures for dissemination of knowledge including educational outreach.</li>\r\r\n<li>Write several publications of considerable interest and value to the field as evidenced by favorable reviews, by citation in the work of others, by presenting papers to professional societies, and/or will have contributed inventions, new designs or research, which are of material significance in the solution of important applied problems.</li>\r\r\n<li>Engage the academic community in research work through research collaborations, visits, invited guests, workshops, conferences, etc.</li>\r\r\n<li>Act as a mentor for student interns involved in machine learning research.</li>\r\r\n</ul></li><li>Maintain an awareness of funding opportunities, and seek and obtain funding to ensure continued growth of the impact of the group’s research efforts.\r\r\n<ul><li>Develop an awareness of NASA’s mission needs and address them to the best of ability.</li>\r\r\n<li>Maintain an awareness of funding opportunities in area of expertise through internal and external funding agencies; seek and obtain funding to ensure continuation and growth of research efforts.</li>\r\r\n<li>Serve as a PI or Co-I on proposal submissions to funding opportunities.</li>\r\r\n</ul></li><li>Prepare reports of your scientific and other activity for purposes of periodic reports to NASA and USRA management, including for self-evaluation for annual performance appraisals.\r\r\n<ul><li>Support strategic planning and annual metrics reporting including analyzing and anticipating relevant research trends and their implications, and for program development including efforts to broaden and strengthen the NASA relationship and to diversify the sponsor/customer base.</li>\r\r\n</ul></li><li>Continue to learn and develop skills and expertise including completing all trainings as scheduled.</li>\r\r\n<li>Other job duties as assigned</li><br/>\r\r\n</ul>, <ul><li>Plan, schedule, and conduct activities in all phases of research projects, as a PI or Co-I and as a member of a larger research team.</li>\r\r\n<li>Assess suitability of different methods for targeted applications, and develop new methods and embody in software implementations as needed.</li>\r\r\n<li>Prepare research results for publication in reports, papers, journals, books, and other media.</li>\r\r\n</ul>, <ul><li>Prepare and deliver briefings and presentations to various national and international seminars, talks or lectures for dissemination of knowledge including educational outreach.</li>\r\r\n<li>Write several publications of considerable interest and value to the field as evidenced by favorable reviews, by citation in the work of others, by presenting papers to professional societies, and/or will have contributed inventions, new designs or research, which are of material significance in the solution of important applied problems.</li>\r\r\n<li>Engage the academic community in research work through research collaborations, visits, invited guests, workshops, conferences, etc.</li>\r\r\n<li>Act as a mentor for student interns involved in machine learning research.</li>\r\r\n</ul>, <ul><li>Develop an awareness of NASA’s mission needs and address them to the best of ability.</li>\r\r\n<li>Maintain an awareness of funding opportunities in area of expertise through internal and external funding agencies; seek and obtain funding to ensure continuation and growth of research efforts.</li>\r\r\n<li>Serve as a PI or Co-I on proposal submissions to funding opportunities.</li>\r\r\n</ul>, <ul><li>Support strategic planning and annual metrics reporting including analyzing and anticipating relevant research trends and their implications, and for program development including efforts to broaden and strengthen the NASA relationship and to diversify the sponsor/customer base.</li>\r\r\n</ul>, <p><b>Required Qualifications</b></p>, <p><b>\r\r\nEducation:</b></p>, <ul>\r\r\n<li>Ph.D. degree in Data Science, Computer Science or a related discipline</li><br/>\r\r\n</ul>, <p><b>Desired Experience:</b></p>, <ul>\r\r\n<li>At least five years of experience applying machine learning techniques to the aeronautics domain</li>\r\r\n<li>A strong track record of research success as evidenced by publishing related work in peer reviewed journals, and contributing to obtaining new funding in the areas above.</li>\r\r\n<li>Excellent organizational and communication skills.</li>\r\r\n<li>Experience as a Principal Investigator (PI)</li><br/>\r\r\n</ul>, <p><b>Knowledge, Skills and Abilities:</b></p>, <ul>\r\r\n<li>Ability to work independently and effectively as part of a multidisciplinary team.</li>\r\r\n<li>Ability to prioritize tasks, coordinates work of others, and meets multiple deadlines.</li>\r\r\n<li>Ability to communicate through conference presentations and scientific publications is essential.</li>\r\r\n<li>Ability to propose credible and innovative research projects, develop the necessary skills to perform the work, and carry out the research, providing the required reporting to the granting agency in a timely fashion.</li>\r\r\n<li>Ability to interpret USRA and Federal Policies and Procedures necessary to function in a scientific research environment that is enabled through U.S. Government funds.</li>\r\r\n<li>Advanced experimental and analytical skills.</li><br/>\r\r\n</ul>, <p><b>Working Conditions</b>:</p>, <p>\r\r\nThis job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, etc. Keyboarding for large time spans each day will be a significant part of this position. This is largely a sedentary role.</p>, <p><b>\r\r\nTravel:</b></p>, <p>\r\r\nEmployee must be willing and able to travel. Position may require domestic and international business travel.</p>, <p>\r\r\nApplicants should apply to the posting at <b>https://usracareers.silkroad.com/</b> and include a letter of interest, resume, or curriculum vita. Review of candidates will begin immediately. Additional information on USRA can be found at <b>www.usra.edu</b>.</p>, <p>\r\r\nUSRA is an Equal Opportunity Employer Minorities/Females/Protected Veterans/Disabled/Sexual Orientation/Gender Identity</p>]
## 172 [<p><b>Req ID:</b> 40161</p>, <p>Lubrizol, a Berkshire Hathaway company, is a technology-driven global company that combines complex, specialty chemicals to optimize the quality, performance and value of customers’ products while reducing their environmental impact. Lubrizol produces and supplies technologies to customers in the global transportation, industrial and consumer markets. These technologies include lubricant additives for engine oils, driveline and other transportation-related fluids, industrial lubricants, and additives for gasoline and diesel fuel. In addition, Lubrizol makes ingredients and additives for home care and personal care products and pharmaceuticals, and specialty materials, including plastics technology and performance coatings in the form of resins and additives.</p>, <p><b>Do you have an interest in making an impact to a multi-billion dollar company?</b></p>, <p><b>Are you passionate about taking on difficult challenges?</b></p>, <p><b><i>Use your statistics, data science & computing skills to impact global decision making!</i></b></p>, <p><b>The Lubrizol Corporation</b> has an immediate need for highly motivated, solution-oriented <b><i>Data Scientist </i></b>to support our businesses in Wickliffe, Ohio.</p>, <p><b>The R&D Statistics & Data Analytics Team</b></p>, <p>The Statistics & Data Analytics department is a focused team with a proven track record of delivering systems that enable highly effective product development via virtual experimentation, optimization and knowledge discovery. In addition, the team provides data science consulting services to the Lubrizol technical community throughout the world.</p>, <p><b>Responsibilities:</b></p>, <ul><li>Create predictive models by mining complex data</li>\r\r\n<li>Support data analytics systems including day-to-day operations and troubleshooting</li>\r\r\n<li>Collaborate and consult with data scientists and subject-area experts on statistics and data analytics problems</li><br/>\r\r\n</ul>, <p><b>Requirements:</b></p>, <ul><li>Graduate degree in statistics, data analytics or closely related field</li>\r\r\n<li>Ability to efficiently analyze large complex data</li>\r\r\n<li>Experience writing complex code in R or Python; knowledge of JavaScript, relational databases and SQL are added pluses</li>\r\r\n<li>Strong deductive reasoning skills</li>\r\r\n<li>Creativity and curiosity with the ability to learn and apply new concepts quickly</li>\r\r\n<li>Ability to interact effectively with a wide variety of scientists and individuals</li><br/>\r\r\n</ul>, <p>Located in a suburb of Cleveland, Ohio, this opportunity is open to early and mid-career candidates including those currently studying and available to join in 2017-2018.</p>, <p><b>Lubrizol Benefits</b></p>, <p>Click Here to Learn About all of Our Benefits!</p>, <p>Competitive salary with performance based bonus plans</p>, <p>401K Match plus Age Weighted Defined Contribution Plan</p>, <p>Competitive medical, dental & vision offerings</p>, <p>Health Savings Account</p>, <p>Learn about all the cool things we do by watching our Being Essential video!</p>, <p>With multiple facilities in and around Cleveland, Ohio, Lubrizol is located in one of the largest economic regions in the United States. For the last seven years Lubrizol has been named one of the top workplaces in Northeast Ohio, and in 2016 was judged as the number one workplace by Northeast Ohio’s annual Top Workplaces survey. Buzzing with business, culture, knowledge and entertainment, Northeast Ohio is a vibrant place for people of all ages and walks of life to live, learn, work and play. This region offers a little bit of everything for everyone - ethnically-diverse communities, affordable housing, award-winning schools and universities, world-class healthcare, indoor waterparks and zoos, ski resorts, museums, halls of fame, one of the longest water-fronts in the country, and the most concentrated square mile of art, cultural, education and health institutions in the nation. From making your heart race at Cedar Point, to attending a professional sporting event or biking or hiking through over the 100,000 acres of state parks, to catching a Broadway show at Playhouse Square - the second largest performing arts center in the country, you can make it happen right here in Cleveland, Ohio.</p>, <p><i>Lubrizol is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.</i></p>, <p><br/>\r\r\n<b>Nearest Major Market: </b>Cleveland\r\r\n<br/>\r\r\n<b>Nearest Secondary Market: </b>Akron\r\r\n<br/>\r\r\n<b>Job Segment: </b>Chemistry, Database, Consulting, Scientist, Scientific, Science, Technology, Engineering</p>]
## 173 [<p><b>Req ID:</b> 40161</p>, <p>Lubrizol, a Berkshire Hathaway company, is a technology-driven global company that combines complex, specialty chemicals to optimize the quality, performance and value of customers’ products while reducing their environmental impact. Lubrizol produces and supplies technologies to customers in the global transportation, industrial and consumer markets. These technologies include lubricant additives for engine oils, driveline and other transportation-related fluids, industrial lubricants, and additives for gasoline and diesel fuel. In addition, Lubrizol makes ingredients and additives for home care and personal care products and pharmaceuticals, and specialty materials, including plastics technology and performance coatings in the form of resins and additives.</p>, <p><b>Do you have an interest in making an impact to a multi-billion dollar company?</b></p>, <p><b>Are you passionate about taking on difficult challenges?</b></p>, <p><b><i>Use your statistics, data science & computing skills to impact global decision making!</i></b></p>, <p><b>The Lubrizol Corporation</b> has an immediate need for highly motivated, solution-oriented <b><i>Data Scientist </i></b>to support our businesses in Wickliffe, Ohio.</p>, <p><b>The R&D Statistics & Data Analytics Team</b></p>, <p>The Statistics & Data Analytics department is a focused team with a proven track record of delivering systems that enable highly effective product development via virtual experimentation, optimization and knowledge discovery. In addition, the team provides data science consulting services to the Lubrizol technical community throughout the world.</p>, <p><b>Responsibilities:</b></p>, <ul><li>Create predictive models by mining complex data</li>\r\r\n<li>Support data analytics systems including day-to-day operations and troubleshooting</li>\r\r\n<li>Collaborate and consult with data scientists and subject-area experts on statistics and data analytics problems</li><br/>\r\r\n</ul>, <p><b>Requirements:</b></p>, <ul><li>Graduate degree in statistics, data analytics or closely related field</li>\r\r\n<li>Ability to efficiently analyze large complex data</li>\r\r\n<li>Experience writing complex code in R or Python; knowledge of JavaScript, relational databases and SQL are added pluses</li>\r\r\n<li>Strong deductive reasoning skills</li>\r\r\n<li>Creativity and curiosity with the ability to learn and apply new concepts quickly</li>\r\r\n<li>Ability to interact effectively with a wide variety of scientists and individuals</li><br/>\r\r\n</ul>, <p>Located in a suburb of Cleveland, Ohio, this opportunity is open to early and mid-career candidates including those currently studying and available to join in 2017-2018.</p>, <p><b>Lubrizol Benefits</b></p>, <p>Click Here to Learn About all of Our Benefits!</p>, <p>Competitive salary with performance based bonus plans</p>, <p>401K Match plus Age Weighted Defined Contribution Plan</p>, <p>Competitive medical, dental & vision offerings</p>, <p>Health Savings Account</p>, <p>Learn about all the cool things we do by watching our Being Essential video!</p>, <p>With multiple facilities in and around Cleveland, Ohio, Lubrizol is located in one of the largest economic regions in the United States. For the last seven years Lubrizol has been named one of the top workplaces in Northeast Ohio, and in 2016 was judged as the number one workplace by Northeast Ohio’s annual Top Workplaces survey. Buzzing with business, culture, knowledge and entertainment, Northeast Ohio is a vibrant place for people of all ages and walks of life to live, learn, work and play. This region offers a little bit of everything for everyone - ethnically-diverse communities, affordable housing, award-winning schools and universities, world-class healthcare, indoor waterparks and zoos, ski resorts, museums, halls of fame, one of the longest water-fronts in the country, and the most concentrated square mile of art, cultural, education and health institutions in the nation. From making your heart race at Cedar Point, to attending a professional sporting event or biking or hiking through over the 100,000 acres of state parks, to catching a Broadway show at Playhouse Square - the second largest performing arts center in the country, you can make it happen right here in Cleveland, Ohio.</p>, <p><i>Lubrizol is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.</i></p>]
## 174
## 175 [<p>Do you have a desire to make a difference? Are you interested in creating forward-thinking solutions? At UCS, we welcome diversity of thought, intellect, and thinking outside the box. We don't just accept difference - we celebrate it. We are a pioneering Health and Information Technology firm that prides ourselves on our ability to create lasting, innovative solutions. We transform the way our customers operate and offer you an opportunity to make a true difference in our Nation. From supporting national defense efforts, to advancing healthcare access, you'll be engaged in tackling the challenging issues our Country faces. Help us build groundbreaking solutions and learn what it takes to make your mark on the world. Grow with us and see Intelligence at Work.</p>, <p>Universal Consulting Services, Inc. is currently seeking a Data Scientist / Analyst to support a federal customer in Falls Church, VA.</p>, <p><b>Qualifications required</b>:</p>, <ul>\r\r\n<li>Bachelor’s Degree in healthcare or Business Administration, Economics, Accounting, Mathematics, Applied Statistics, or Operational Research.</li>\r\r\n<li>10+ years of relevant experience.</li>\r\r\n<li>Demonstrated ability conducting thorough and comprehensive system-wide currency, business case and return on investment analysis for healthcare operations within the MHS, Veterans Administration (VA) or private sector. Experience in communicating in writing complex concepts and their effects/impacts on the target environment, such that a lay audience is capable of understanding.</li>\r\r\n<li>Proven ability to identify and implement solutions to improve clinical and business data quality.</li>\r\r\n<li>Experience working in a leadership role within Resource Management, Group Practice Management, or TRICARE Operations is desired.</li>\r\r\n<li>Demonstrated knowledge of the CHCS/AHLTA and/or M2 file and table structures or Military Data Repository (MDR).</li>\r\r\n<li>Demonstrated knowledge of medical coding practices and processes – International Classification of Diseases (ICD)-9/10 and Current Procedural Terminology (CPT)/Healthcare Common Procedure Coding System (HCPCS).</li>\r\r\n<li>Demonstrated knowledge of healthcare business processes. Prepare briefing papers on various financial, administrative, and business process matters. Prepare technical writing and information papers. Provide technical, administrative, editorial and graphics support for the purpose of preparing special reports, studies and analyses. Familiar with current and/or available business intelligence software/applications and data visualization tools.</li>\r\r\n<li>5+ years of experience with integration of performance planning goals to meet the objectives of the MHS, VA and/or AFMS is desired.</li>\r\r\n<li>5+ years of experience to include significant knowledge of MHS Medical Expense Personnel Reporting System (MEPRS) Defense Medical Human Resources System Internet (DMHRSi), Manpower, Program Objective Memorandum (POM) processes, Finance, and Referral Management/Access to Care.</li>\r\r\n<li>Ability to gain access to some of the following MHS information systems: the Military Health System Management and Reporting Tool (M2), Composite Health Care System (CHCS), Armed Forces Health Longitudinal Technology Application (AHLTA), Essentris, Pharmacy Data Transaction Service (PDTS), Theater Medical Data Store (TMDS), MEPRS/DMHRSi, Expense Assignment System Version IV (EAS IV), Air Force Corporate Health Information Processing Service (AFCHIPS), MDR, Health Services Data Warehouse (HSDW), MHS Genesis, Medical Readiness Decision Support System (MRDSS) and other applicable systems as developed.</li></ul>, <p>UCS is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or religion or other legally protected status.</p>, <p>\r\r\nhttp://ucs-inc.com/</p>, <p><b>THIS POSITION IS CURRENTLY ACCEPTING APPLICATIONS.</b></p>]
## 176 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking an Associate to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics to work with our Healthcare team.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches; rapidly iterate models and results to refine and validate approach while working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nDeliver on engagement milestones by following analytics processes to mitigate risks in data, modeling, validation, and delivery; Manage assumptions and risks, and work with others to clear issues</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; Utilize APIs, platforms, containers, multi-threading, distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of prior experience working in teams of data & analytics professionals to deliver on business-driven analytics projects using natural language processing, machine learning on unstructured data, and/or information retrieval; Experience performing data science (data discovery, cleaning, model selection, validation, and deployment); Coding artificial intelligence methods; and restructuring, refactoring, and optimizing code for efficiency; Multidisciplinary backgrounds; Proficiency<br/>\r\r\nwith healthcare analytics and data structures is preferred</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Provide assistance, and resolve problems, using solid problem-solving skills, verbal/written communication</li><li>\r\r\nUnderstanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss mathematical formulations, alternatives, and impact on modeling approach; Understanding of development practices such as testing, code design, complexity, and code optimization</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 177 [<ul><li>\r\r\nApplying machine learning and statistical modeling to large datasets to develop business insight</li><li>\r\r\nLead implementation of business solutions based on modeling and machine learning results</li><li>\r\r\nWork with senior management and business analysts to identify strategic opportunities for data analytics impact</li><li>\r\r\nWork with data engineering and IT to productionize machine learning solutions</li><li>\r\r\nCreate compelling data visualizations to support conclusions and provide recommendations</li><li>\r\r\nCommunicate recommendations effectively to senior management</li></ul>, <ul><li>A master’s degree or Ph.D. from a statistics, mathematics, computer science, computational social science or operations research program.</li><li>\r\r\nSolid background in the fundamentals of machine learning and statistical modeling</li><li>\r\r\nExperience conducting analysis and writing analytic code in R or Python or similar analysis and modeling tools. Experience merging and analyzing large, diverse data sources. AWS/Hadoop/Hive/Pig and Spark a plus.</li><li>\r\r\nProficient with SQL and comfortable in a Unix/Linux environment.</li><li>\r\r\nExperience in building production-level machine learning and predictive analytics models along with data pipelines.</li><li>\r\r\nExperience creating data visualizations in Power BI, Tableau, D3 or similar.</li><li>\r\r\nThe ability to explain complex technical material to nontechnical audiences</li></ul>, <p>We know that our teams are the beating heart of our success and we’re committed to showing our appreciation. We offer:</p>, <ul><li>\r\r\nComprehensive benefits – health, dental & vision, 401(k) with company match, paid vacation and holidays, tuition reimbursement, an employee stock purchase plan and more!</li><li>\r\r\nGrowth based on achievement and promotion from within.</li><li>\r\r\nAssociate recognition (a company-wide recognition program that celebrates associate efforts and successes in contributing to the overall success of the organization – including destination awards, ‘AvalonBay’s Very Best’ recognition program and others!).</li><li>\r\r\nA 20% discount on our incredible apartment homes.</li><li>\r\r\nA culture built on purpose and our core values -<i>A Commitment to Integrity</i>,<i>A Spirit of Caring</i>, and<i>A Focus on Continuous Improvement</i>.</li></ul>]
## 178 [<p>Cummins is a place big enough to coach and develop a global workforce and create the world’s leading clean, engine technology. We’re also small enough for you to find your fit and personal passion with a team of dependable, innovative thinkers who are developing their careers within a diverse, inclusive, empowering environment.</p>, <p>Learn more about this role and how you can begin <i>Working Right</i> .</p>, <p>Our Corporate Business Unit delivers reliable, durable, high performing products to our global partners. Working in an innovative space, you’ll develop high tech solutions that will fuel your advanced career skill set and empower you to own your career. Our integrated businesses demand the talents and creativity of individuals with a wide range of skills and experience.</p>, <p>This is an exciting opportunity in Columbus, Indiana for a Data Scientist. Cummins USA is where you can work on industry leading projects.</p>, <p>Your impact will happen in these and other ways:</p>, <ul><li><p>Manage and Implement advanced analytics projects which solve complex analytical problems using quantitative approaches through a combination of analytical, mathematical, and technical skills.</p></li>\r\r\n<li><p>\r\r\nResearch, design, implement and validates cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques.</p></li>\r\r\n<li><p>\r\r\nCommunicate with business stakeholders and leverage business knowledge to industrialize and monetize insights from advanced analytics projects.</p></li>\r\r\n<li><p>\r\r\nLiaises with business stakeholders and leverages business knowledge to industrialize and monetize insights from advanced analytics projects.</p></li>\r\r\n<li><p>\r\r\nLeads key objectives and business goals using data science methodology.</p></li>\r\r\n<li><p>\r\r\nLeverages data science methodology to more complex business problems.</p></li>\r\r\n<li><p>\r\r\nCreates algorithms using more complex statistical methodologies using statistical programming languages and tools.</p></li>\r\r\n<li><p>\r\r\nPartners with domain experts to verify model capabilities and translate modeling outputs from statistical inferences into business language</p></li>\r\r\n<li><p>\r\r\nPartners with IT resources to enable appropriate data flow/data model, development using appropriate tools/technology, rapid prototyping and informs the design of analytical products.</p></li>\r\r\n<li><p>\r\r\nTrains and mentors less experienced employees on data science tools and methodologies.</p></li>\r\r\n</ul>, <p>Manage and Implement advanced analytics projects which solve complex analytical problems using quantitative approaches through a combination of analytical, mathematical, and technical skills.</p>, <p>\r\r\nResearch, design, implement and validates cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques.</p>, <p>\r\r\nCommunicate with business stakeholders and leverage business knowledge to industrialize and monetize insights from advanced analytics projects.</p>, <p>\r\r\nLiaises with business stakeholders and leverages business knowledge to industrialize and monetize insights from advanced analytics projects.</p>, <p>\r\r\nLeads key objectives and business goals using data science methodology.</p>, <p>\r\r\nLeverages data science methodology to more complex business problems.</p>, <p>\r\r\nCreates algorithms using more complex statistical methodologies using statistical programming languages and tools.</p>, <p>\r\r\nPartners with domain experts to verify model capabilities and translate modeling outputs from statistical inferences into business language</p>, <p>\r\r\nPartners with IT resources to enable appropriate data flow/data model, development using appropriate tools/technology, rapid prototyping and informs the design of analytical products.</p>, <p>\r\r\nTrains and mentors less experienced employees on data science tools and methodologies.</p>, <p><b>Qualifications</b></p>, <p><b>Skills</b></p>, <ul><li><p>Strong technical expertise with R language development</p></li>\r\r\n<li><p>\r\r\nMust have a minimum three years of experience developing, deploying, and managing analytics models in Microsoft Azure environment. Experience in performance tuning of R code.</p></li>\r\r\n<li><p>\r\r\nStrong knowledge SparkR within Microsoft Azure environment.</p></li>\r\r\n<li><p>\r\r\nWorking knowledge of the statics of linear models: linear regression, logistics regression, etc.</p></li>\r\r\n<li><p>\r\r\nGood understanding of machine learning algorithms.</p></li>\r\r\n<li><p>\r\r\nR/SparkR programming (primarily, especially SparkR).</p></li>\r\r\n<li><p>\r\r\nPython/pyspark programming is a bonus.</p></li>\r\r\n<li><p>\r\r\nBuilding machine learning models, deployment, and maintenance.</p></li>\r\r\n<li><p>\r\r\nAbility to communicate technical findings to business, translates risks/rewards of modelling choices into business outcomes, guides analytics modelling to align with business requirements.</p></li>\r\r\n<li><p>\r\r\nStrong working knowledge of data cleaning, machine learning, and analytics techniques and experience with large data sets.</p></li>\r\r\n<li><p>\r\r\nExceptional written and verbal communication and presentation skills with the ability to communicate complex information in a concise, informative, and engaging way.</p></li>\r\r\n<li><p>\r\r\nResults driven, proactive, excellent stakeholder management, quick learner, and problem-solving attitude.</p></li>\r\r\n<li><p>\r\r\nSolid business acumen.</p></li>\r\r\n</ul>, <p>Strong technical expertise with R language development</p>, <p>\r\r\nMust have a minimum three years of experience developing, deploying, and managing analytics models in Microsoft Azure environment. Experience in performance tuning of R code.</p>, <p>\r\r\nStrong knowledge SparkR within Microsoft Azure environment.</p>, <p>\r\r\nWorking knowledge of the statics of linear models: linear regression, logistics regression, etc.</p>, <p>\r\r\nGood understanding of machine learning algorithms.</p>, <p>\r\r\nR/SparkR programming (primarily, especially SparkR).</p>, <p>\r\r\nPython/pyspark programming is a bonus.</p>, <p>\r\r\nBuilding machine learning models, deployment, and maintenance.</p>, <p>\r\r\nAbility to communicate technical findings to business, translates risks/rewards of modelling choices into business outcomes, guides analytics modelling to align with business requirements.</p>, <p>\r\r\nStrong working knowledge of data cleaning, machine learning, and analytics techniques and experience with large data sets.</p>, <p>\r\r\nExceptional written and verbal communication and presentation skills with the ability to communicate complex information in a concise, informative, and engaging way.</p>, <p>\r\r\nResults driven, proactive, excellent stakeholder management, quick learner, and problem-solving attitude.</p>, <p>\r\r\nSolid business acumen.</p>, <p><b>Experience</b></p>, <ul><li><p>Minimum seven years of professional experience with at least three years in a similar role.</p></li>\r\r\n<li><p>\r\r\nMinimum three years of experience in developing, deploying, and managing advance analytics models, machine learning model.</p></li>\r\r\n<li><p>\r\r\nSignificant experience in building, iterating, and validating statistical models.</p></li>\r\r\n<li><p>\r\r\nExperience in a large global, matrix environment preferred.</p></li>\r\r\n</ul>, <p>Minimum seven years of professional experience with at least three years in a similar role.</p>, <p>\r\r\nMinimum three years of experience in developing, deploying, and managing advance analytics models, machine learning model.</p>, <p>\r\r\nSignificant experience in building, iterating, and validating statistical models.</p>, <p>\r\r\nExperience in a large global, matrix environment preferred.</p>, <p><b>Required Education, Licenses or Certifications</b></p>, <p>College, university, or equivalent degree in statistics, information systems or related field required. PhD or Master’s degree in Statistics, Econometrics, Computer Science, or equivalent experience preferred.</p>, <p><b>Compensation and Benefits</b></p>, <p>Base salary rate commensurate with experience. Additional benefits vary between locations and include options such as our 401(k) Retirement Savings Plan, Cash Balance Pension Plan, Medical/Dental/Life Insurance, Health Savings Account, Domestic Partners Coverage and a full complement of personal and professional benefits.</p>, <p><b>Cummins and E-verify</b></p>, <p>At Cummins, we are an equal opportunity and affirmative action employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law. Cummins validates right to work using E-Verify. Cummins will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization.</p>, <p>Ready to think beyond your desk? Apply for this opportunity to start your career with Cummins today. careers.cummins.com</p>, <p>Not ready to apply but want to learn more? Join our Talent Community to get the inside track on great jobs and confidentially connect to our recruiting team: http://connect.find.ly/cummins</p>, <p>connect to our recruiting team: http://connect.find.ly/cummins</p>, <p><b>Job</b> QUALITY</p>, <p><b>Primary Location</b> United States-Indiana-Columbus-US, IN, Columbus, Sears Building</p>, <p><b>Job Type</b> Experienced - Exempt / Office</p>, <p><b>Recruitment Job Type</b> Exempt - Experienced</p>, <p><b>Job Posting</b> Sep 11, 2018, 5:29:55 PM</p>, <p><b>Unposting Date</b> Ongoing</p>, <p><b>Req ID:</b> 180003WC</p>]
## 179 [<ul><li><div>Manage and Implement advanced analytics projects which solve complex analytical problems using quantitative approaches through a combination of analytical, mathematical, and technical skills.\r\r\n</div></li><li><div>Research, design, implement and validates cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques.\r\r\n</div></li><li><div>Communicate with business stakeholders and leverage business knowledge to industrialize and monetize insights from advanced analytics projects.\r\r\n</div></li><li><div>Liaises with business stakeholders and leverages business knowledge to industrialize and monetize insights from advanced analytics projects .\r\r\n</div></li><li><div>Leads key objectives and business goals using data science methodology.\r\r\n</div></li><li><div>Leverages data science methodology to more complex business problems.\r\r\n</div></li><li><div>Creates algorithms using more complex statistical methodologies using statistical programming languages and tools.\r\r\n</div></li><li><div>Partners with domain experts to verify model capabilities and translate modeling outputs from statistical inferences into business language\r\r\n</div></li><li><div>Partners with IT resources to enable appropriate data flow/data model, development using appropriate tools/technology, rapid prototyping and informs the design of analytical products.\r\r\n</div></li><li><div>Trains and mentors less experienced employees on data science tools and methodologies.<br/>\r\r\n</div></li></ul>, <ul><li><div>Strong technical expertise with R language development\r\r\n</div><ul><li><div>Must have a minimum three years of experience developing, deploying, and managing analytics models in Microsoft Azure environment. Experience in performance tuning of R code.\r\r\n</div></li><li><div>Strong knowledge SparkR within Microsoft Azure environment.\r\r\n</div></li><li><div>Working knowledge of the statics of linear models: linear regression, logistics regression, etc.\r\r\n</div></li><li><div>Good understanding of machine learning algorithms.\r\r\n</div></li><li><div>R/SparkR programming (primarily, especially SparkR).\r\r\n</div></li><li><div>Python/pyspark programming is a bonus.\r\r\n</div></li><li><div>Building machine learning models, deployment, and maintenance.\r\r\n</div></li></ul></li><li><div>Ability to communicate technical findings to business, translates risks/rewards of modelling choices into business outcomes, guides analytics modelling to align with business requirements.\r\r\n</div></li><li><div>Strong working knowledge of data cleaning, machine learning, and analytics techniques and experience with large data sets.\r\r\n</div></li><li><div>Exceptional written and verbal communication and presentation skills with the ability to communicate complex information in a concise, informative, and engaging way.\r\r\n</div></li><li><div>Results driven, proactive, excellent stakeholder management, quick learner, and problem-solving attitude .\r\r\n</div></li><li><div>Solid business acumen.<br/>\r\r\n</div></li></ul>, <ul><li><div>Must have a minimum three years of experience developing, deploying, and managing analytics models in Microsoft Azure environment. Experience in performance tuning of R code.\r\r\n</div></li><li><div>Strong knowledge SparkR within Microsoft Azure environment.\r\r\n</div></li><li><div>Working knowledge of the statics of linear models: linear regression, logistics regression, etc.\r\r\n</div></li><li><div>Good understanding of machine learning algorithms.\r\r\n</div></li><li><div>R/SparkR programming (primarily, especially SparkR).\r\r\n</div></li><li><div>Python/pyspark programming is a bonus.\r\r\n</div></li><li><div>Building machine learning models, deployment, and maintenance.\r\r\n</div></li></ul>, <ul><li><div>Minimum seven years of professional experience with at least three years in a similar role.\r\r\n</div></li><li><div>Minimum three years of experience in developing, deploying, and managing advance analytics models, machine learning model.\r\r\n</div></li><li><div>Significant experience in building, iterating, and validating statistical models.\r\r\n</div></li><li><div>Experience in a large global, matrix environment preferred.\r\r\n</div></li></ul>]
## 180 [<p><b>Description</b></p>, <p>Cummins is a place big enough to coach and develop a global workforce and create the world’s leading clean, engine technology. We’re also small enough for you to find your fit and personal passion with a team of dependable, innovative thinkers who are developing their careers within a diverse, inclusive, empowering environment.</p>, <p>Learn more about this role and how you can begin <i>Working Right</i> .</p>, <p>Our Corporate Business Unit delivers reliable, durable, high performing products to our global partners. Working in an innovative space, you’ll develop high tech solutions that will fuel your advanced career skill set and empower you to own your career. Our integrated businesses demand the talents and creativity of individuals with a wide range of skills and experience.</p>, <p>This is an exciting opportunity in Columbus, Indiana for a Data Scientist. Cummins USA is where you can work on industry leading projects.</p>, <p>Your impact will happen in these and other ways:</p>, <ul><li><p>Manage and Implement advanced analytics projects which solve complex analytical problems using quantitative approaches through a combination of analytical, mathematical, and technical skills.</p></li>\r\r\n<li><p>\r\r\nResearch, design, implement and validates cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques.</p></li>\r\r\n<li><p>\r\r\nCommunicate with business stakeholders and leverage business knowledge to industrialize and monetize insights from advanced analytics projects.</p></li>\r\r\n<li><p>\r\r\nLiaises with business stakeholders and leverages business knowledge to industrialize and monetize insights from advanced analytics projects.</p></li>\r\r\n<li><p>\r\r\nLeads key objectives and business goals using data science methodology.</p></li>\r\r\n<li><p>\r\r\nLeverages data science methodology to more complex business problems.</p></li>\r\r\n<li><p>\r\r\nCreates algorithms using more complex statistical methodologies using statistical programming languages and tools.</p></li>\r\r\n<li><p>\r\r\nPartners with domain experts to verify model capabilities and translate modeling outputs from statistical inferences into business language</p></li>\r\r\n<li><p>\r\r\nPartners with IT resources to enable appropriate data flow/data model, development using appropriate tools/technology, rapid prototyping and informs the design of analytical products.</p></li>\r\r\n<li><p>\r\r\nTrains and mentors less experienced employees on data science tools and methodologies.</p></li>\r\r\n</ul>, <p>Manage and Implement advanced analytics projects which solve complex analytical problems using quantitative approaches through a combination of analytical, mathematical, and technical skills.</p>, <p>\r\r\nResearch, design, implement and validates cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques.</p>, <p>\r\r\nCommunicate with business stakeholders and leverage business knowledge to industrialize and monetize insights from advanced analytics projects.</p>, <p>\r\r\nLiaises with business stakeholders and leverages business knowledge to industrialize and monetize insights from advanced analytics projects.</p>, <p>\r\r\nLeads key objectives and business goals using data science methodology.</p>, <p>\r\r\nLeverages data science methodology to more complex business problems.</p>, <p>\r\r\nCreates algorithms using more complex statistical methodologies using statistical programming languages and tools.</p>, <p>\r\r\nPartners with domain experts to verify model capabilities and translate modeling outputs from statistical inferences into business language</p>, <p>\r\r\nPartners with IT resources to enable appropriate data flow/data model, development using appropriate tools/technology, rapid prototyping and informs the design of analytical products.</p>, <p>\r\r\nTrains and mentors less experienced employees on data science tools and methodologies.</p>, <p><b>Qualifications</b></p>, <p><b>Skills</b></p>, <ul><li><p>Strong technical expertise with R language development</p></li>\r\r\n<li><p>\r\r\nMust have a minimum three years of experience developing, deploying, and managing analytics models in Microsoft Azure environment. Experience in performance tuning of R code.</p></li>\r\r\n<li><p>\r\r\nStrong knowledge SparkR within Microsoft Azure environment.</p></li>\r\r\n<li><p>\r\r\nWorking knowledge of the statics of linear models: linear regression, logistics regression, etc.</p></li>\r\r\n<li><p>\r\r\nGood understanding of machine learning algorithms.</p></li>\r\r\n<li><p>\r\r\nR/SparkR programming (primarily, especially SparkR).</p></li>\r\r\n<li><p>\r\r\nPython/pyspark programming is a bonus.</p></li>\r\r\n<li><p>\r\r\nBuilding machine learning models, deployment, and maintenance.</p></li>\r\r\n<li><p>\r\r\nAbility to communicate technical findings to business, translates risks/rewards of modelling choices into business outcomes, guides analytics modelling to align with business requirements.</p></li>\r\r\n<li><p>\r\r\nStrong working knowledge of data cleaning, machine learning, and analytics techniques and experience with large data sets.</p></li>\r\r\n<li><p>\r\r\nExceptional written and verbal communication and presentation skills with the ability to communicate complex information in a concise, informative, and engaging way.</p></li>\r\r\n<li><p>\r\r\nResults driven, proactive, excellent stakeholder management, quick learner, and problem-solving attitude.</p></li>\r\r\n<li><p>\r\r\nSolid business acumen.</p></li>\r\r\n</ul>, <p>Strong technical expertise with R language development</p>, <p>\r\r\nMust have a minimum three years of experience developing, deploying, and managing analytics models in Microsoft Azure environment. Experience in performance tuning of R code.</p>, <p>\r\r\nStrong knowledge SparkR within Microsoft Azure environment.</p>, <p>\r\r\nWorking knowledge of the statics of linear models: linear regression, logistics regression, etc.</p>, <p>\r\r\nGood understanding of machine learning algorithms.</p>, <p>\r\r\nR/SparkR programming (primarily, especially SparkR).</p>, <p>\r\r\nPython/pyspark programming is a bonus.</p>, <p>\r\r\nBuilding machine learning models, deployment, and maintenance.</p>, <p>\r\r\nAbility to communicate technical findings to business, translates risks/rewards of modelling choices into business outcomes, guides analytics modelling to align with business requirements.</p>, <p>\r\r\nStrong working knowledge of data cleaning, machine learning, and analytics techniques and experience with large data sets.</p>, <p>\r\r\nExceptional written and verbal communication and presentation skills with the ability to communicate complex information in a concise, informative, and engaging way.</p>, <p>\r\r\nResults driven, proactive, excellent stakeholder management, quick learner, and problem-solving attitude.</p>, <p>\r\r\nSolid business acumen.</p>, <p><b>Experience</b></p>, <ul><li><p>Minimum seven years of professional experience with at least three years in a similar role.</p></li>\r\r\n<li><p>\r\r\nMinimum three years of experience in developing, deploying, and managing advance analytics models, machine learning model.</p></li>\r\r\n<li><p>\r\r\nSignificant experience in building, iterating, and validating statistical models.</p></li>\r\r\n<li><p>\r\r\nExperience in a large global, matrix environment preferred.</p></li>\r\r\n</ul>, <p>Minimum seven years of professional experience with at least three years in a similar role.</p>, <p>\r\r\nMinimum three years of experience in developing, deploying, and managing advance analytics models, machine learning model.</p>, <p>\r\r\nSignificant experience in building, iterating, and validating statistical models.</p>, <p>\r\r\nExperience in a large global, matrix environment preferred.</p>, <p><b>Required Education, Licenses or Certifications</b></p>, <p>College, university, or equivalent degree in statistics, information systems or related field required. PhD or Master’s degree in Statistics, Econometrics, Computer Science, or equivalent experience preferred.</p>, <p><b>Compensation and Benefits</b></p>, <p>Base salary rate commensurate with experience. Additional benefits vary between locations and include options such as our 401(k) Retirement Savings Plan, Cash Balance Pension Plan, Medical/Dental/Life Insurance, Health Savings Account, Domestic Partners Coverage and a full complement of personal and professional benefits.</p>, <p><b>Cummins and E-verify</b></p>, <p>At Cummins, we are an equal opportunity and affirmative action employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law. Cummins validates right to work using E-Verify. Cummins will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization.</p>, <p>Ready to think beyond your desk? Apply for this opportunity to start your career with Cummins today. careers.cummins.com</p>, <p>Not ready to apply but want to learn more? Join our Talent Community to get the inside track on great jobs and confidentially connect to our recruiting team: http://connect.find.ly/cummins</p>, <p>connect to our recruiting team: http://connect.find.ly/cummins</p>, <p><b>Job</b> QUALITY</p>, <p><b>Primary Location</b> United States-Indiana-Columbus-US, IN, Columbus, Sears Building</p>, <p><b>Job Type</b> Experienced - Exempt / Office</p>, <p><b>Recruitment Job Type</b> Exempt - Experienced</p>, <p><b>Job Posting</b> Sep 11, 2018, 5:29:55 PM</p>, <p><b>Unposting Date</b> Ongoing</p>, <p><b>Req ID:</b> 180003WC</p>]
## 181 [<p><b>Job Opening ID:\r\r\n</b></p>, <p><b>Job Title:\r\r\n</b></p>, <p><b>Department:\r\r\n</b></p>, <p><b>Country:\r\r\n</b></p>, <p><b>State/Province:\r\r\n</b></p>, <p><b>City:\r\r\n</b></p>, <p><b>Full/Part Time:\r\r\n</b></p>, <p><b>Shift:\r\r\n</b></p>, <p><b>Job Description Summary:\r\r\n</b></p>, <p><b>Job Description:\r\r\n</b></p>, <p>ESSENTIAL DUTIES and RESPONSIBILITIES\r\r\n</p>, <ul><li>Develop relationships with business partners to enhance understanding of business issues and create value for the organization.\r\r\n</li><li>Identify and prioritize enterprise data analytics opportunities.\r\r\n</li><li>Lead data mining and analytics projects with high potential return.\r\r\n</li><li>Invent and quickly iterate novel solutions to challenging data-related problems.\r\r\n</li><li>Interpret the results of analyses to drive insight.\r\r\n</li><li>Develop scalable and efficient methods for large scale data analyses and model development and deployment.\r\r\n</li><li>Collaborate with developers, program managers, and product managers in an open, creative environment.\r\r\n</li><li>Incorporate a continuous improvement model enhancement practice in all analytics applications.\r\r\n</li><li>Lead the development of innovative and next generation supply chain insight analytics services.\r\r\n</li></ul>, <p>QUALIFICATIONS:\r\r\n</p>, <ul><li>Advanced Degree (Ph.D. preferred) with a focus on Analytics, Statistical Sciences, Operations Research, Economics, Finance or a related Business quantitative discipline\r\r\n</li><li>5+ years of real world analytical solution building experience\r\r\n</li><li>Data mining technical knowledge and skills including: decision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, and machine learning\r\r\n</li><li>Expertise in R, SAS Enterprise Miner, or IBM SPSS Modeler or other analytical software\r\r\n</li><li>Intellectual curiosity and commitment to teaching data analytics concepts to others\r\r\n</li><li>Experience in leading and developing data science teams a plus\r\r\n</li></ul>, <p><b>Qualifications:\r\r\n</b></p>, <p><b>Company Overview:\r\r\n</b></p>, <p><i>Our success comes from strategically placing you in the most suitable role. Whether you have a passion for operations, sales, engineering, or information technology, we can jump start your career!\r\r\n</i></p>, <p>J.B. Hunt Transport, Inc. is no stranger to the transportation logistics industry. From our humble beginnings in 1961, with only five tractors and seven refrigerated trailers, we have evolved into one of the largest transportation logistics companies in North America. We provide safe and reliable transportation services throughout the United States, Canada and Mexico. Our four business segments (Intermodal, Dedicated Contract Services, Truckload, and Integrated Capacity Solutions) allow us to provide customized freight solutions for customers big and small. It's no wonder we have been named one of America's Most Admired Companies by Fortune Magazine.\r\r\n</p>, <p>J.B. Hunt Transport, Inc. is committed to basing employment decisions on the principles of equal employment opportunity without regard to race, color, religion, sex, national origin, age, persons with disabilities, protected veterans or other bases by applicable law.</p>]
## 182 [<ul><li>Analyze source data and data flows, working with structured and unstructured data.</li><li>\r\r\nManipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends</li><li>\r\r\nApply AI/Machine Learning technology to solve real-world problems</li><li>\r\r\nAnalyze and visualize diverse sources of data, interpret results in the business context and report results clearly and concisely</li><li>\r\r\nExecute both descriptive and inferential ad hoc requests in a timely manner</li><li>\r\r\nCommunicate and present models to business customers and executive</li><li>\r\r\nWork collaboratively with different business partners and be able to present result in a clear and concise manner</li><li>\r\r\nTeach and mentor others in the use of AI/Machine Learning</li></ul>, <ul><li>Bachelor’s degree in a field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics</li><li>\r\r\n2+ years of experience of functional programming with Python, Scala or LISP</li><li>\r\r\n1+ years of experience with SQL, Spark, or Hadoop</li><li>\r\r\n2+ years of experience with Machine Learning and Artificial Intelligence techniques and tools such as neural networks, regression, classification and clustering</li></ul>, <ul><li>Master's Degree or PhD in a quantitative field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics</li><li>\r\r\n2+ years of experience with data sources and platforms (Unix/Linux, Teradata, Hadoop, Oracle, SQL Server and DB2)</li><li>\r\r\nDemonstrated ability in the application of Machine Learning/AI in real-world industrial settings with large scale data</li><li>\r\r\nExperience with Deep Learning tools such as TensorFlow and Caffe on NVidia DevBoxes</li><li>\r\r\nExperience with Agile software development\r\r\n</li><li>Experience with parallel/grid computing is a plus</li><li>\r\r\nExperience with contributing to open source projects is a plus</li><li>\r\r\nStrong oral and written skills</li></ul>]
## 183 [<p><b>Position Objective:</b></p>, <p>\r\r\nJoin our analytics team and help us enable our healthcare providers to improve the lives of our patients. You’ll learn to think globally about the health of our patient populations and drive new insights into interventions that make patients healthier and make the healthcare system more financially sustainable. Use your background in software development to really enhance people’s lives in a direct and measurable way!</p>, <p><b>\r\r\nEssential Job Duties:</b></p>, <p>\r\r\nReasonable accommodations may be made to enable individuals with disabilities to perform the essential functions</p>, <ul>\r\r\n<li>Develops complex software systems to retrieve and analyze data that allows clinicians to make new innovations and discoveries. Develops predictive algorithms and risk-stratify patient populations. Develops analytical tools using .Net, Qlikview, Business Objects, and the Microsoft BI Stack.</li>\r\r\n<li>Leads data warehousing initiatives.</li>\r\r\n<li>Communicates effectively with users, vendors, and AAMC leadership to gain consensus on proper timelines, project scope, and ensure desired outcomes are met. Applies Agile principles to daily work.</li>\r\r\n<li>Documents work thoroughly and contribute to our culture of sustainable maintenance through adherence and creation of standards.</li>\r\r\n<li>Gains a detailed understanding of the business operations driving analytics needs. Makes maximum use of our enterprise systems to accelerate work, increase elegance, and reduce long-term maintenance.</li>\r\r\n</ul>, <p><b>Educational/Experience Requirements:</b></p>, <ul>\r\r\n<li>BS in Computer Science, Computer Engineering, or related disciplines</li>\r\r\n<li>One (1) year of experience with SQL, SSIS, developing applications that consume restful web services, and software development in an Agile environment.</li>\r\r\n<li>Experience in healthcare technology preferred.</li>\r\r\n<li>Experience with R and C# development preferred.</li>\r\r\n</ul>, <p><b>Required License/Certifications:</b><b>\r\r\n</b></p>, <ul><li>None</li>\r\r\n</ul>, <p><b>Working Conditions, Equipment, Physical Demands:</b></p>, <p>\r\r\nThere is a reasonable expectation that employees in this position will not be exposed to blood-borne pathogens.</p>, <p><b>\r\r\nPhysical Demands – Light</b></p>, <p><b>\r\r\nLight work.</b><b> Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects. If the use of arm and/or leg controls requires exertion of forces greater than that for sedentary work and the worker sits most of the time, the job is rated for light work.</b></p>, <p><b>\r\r\nThe physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act.</b></p>, <p>\r\r\nThe above job description is an overview of the functions and requirements for this position. This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary.</p>]
## 184 [<p>Salary Commensurate with Experience and Qualifications</p>, <p>Monday through Friday, 8 a.m. to 5 p.m.; some late evenings may be required including some weekends.</p>, <p>Texas Policy Lab (TPL) is seeking a senior data scientist. The successful candidate will work with other members of TPL and faculty at Rice University to contribute to analytical projects involving large administrative and survey-generated datasets. S/he will identify opportunities where frontier data analytic techniques (predictive modeling, machine learning etc.) can be useful to address policymaker needs, execute these projects and communicate the results to a non-technical audience. S/he will work with and/or manage a team to import, manipulate, and merge large datasets. S/he will devise strategies to automate the process of importing, exporting and linking datasets arriving from various government agencies.</p>, <p>\r\r\nTPL provides Texas state and local government agencies with science driven results to help inform how policy is developed and implemented in Texas. In close collaboration with those agencies, we produce scientific, independent, timely evaluations of current social and economic programs and new program initiatives. These long-term partnerships will improve Texas state and local government capacity to utilize data, scientific evidence and technology in policy-making and resource allocation. The Texas Policy Lab draws on the expertise of Rice University faculty and its own professional research staff.</p>, <p>Doctoral degree in a relevant field (computer science, mathematics, statistics, economics, finance etc.).</p>, <p>Experience may not be substituted for the education requirement.</p>, <p>.</p>, <ul><li>Scholarly work in predictive modeling or machine learning.</li><li>Scholarly work using administrative data collected from multiple sources.</li><li>Demonstrable interest in public policy.</li><li>Ability to articulate data science methods and approaches a non-technical audience.\r\r\n</li><li>Research interest in a substantive public policy area, such as criminal justice, child protective services, health, education or others.</li></ul>, <ul><li>Excellent listening, verbal and written communication, analytical, and research skills</li><li>Superior scientific and numerical skills with meticulous attention to details and accuracy</li><li>Proficient and comprehensive knowledge of information management, knowledge management and publication management</li><li>Ability to work in a team environment, to participate actively, to collaborate and to motivate others in the lab</li><li>Excellent critical thinking , technical, data collection and interviewing skills</li><li>Excellent statistical and graphical analysis skills</li><li>Ability to maintain quality, safety and / or infection control standards</li><li>Ability to plan and schedule effectively</li></ul>, <ul><li>Expertise, as demonstrated by advanced coursework or other relevant experience, in predictive modeling, machine learning and statistics.</li><li>Demonstrable expertise in determining the appropriate analytic approaches and computing techniques given the data availability and research question.</li><li>Strong programming skills in statistical and/or computational programs.\r\r\n</li><li>Ability to translate problems policymakers face into tractable, quantitative problems that can be insightfully addressed using data.</li><li>Expertise and creativity in visualizing, analyzing, and communicating insights from data.</li><li>Knowledge of frontier data science techniques and experience in their applications.</li><li>Experience in importing, linking, reshaping and managing large administrative datasets.</li></ul>, <ul><li>Will work closely and report to the Executive Director.</li><li>Will work closely with research scientist(s).</li><li>Frequent contact with TPL research team and staff members, including non-TPL technical staff on campus.</li><li>Will have regular contact with various TPL and Rice University personnel including local and state entities from which TPL will acquire data.</li></ul>, <ul><li>Must be able to work at a computer terminal for extended periods of time.</li><li>Must be able to move about campus and go to various TPL sites.</li></ul>, <ul><li>Monday-Friday, standard 40 hour work week.</li><li>Some late evenings and/or weekends required to meet TPL deadlines.</li></ul>]
## 185
## 186 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking an Associate to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics to work with our Healthcare team.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches; rapidly iterate models and results to refine and validate approach while working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nDeliver on engagement milestones by following analytics processes to mitigate risks in data, modeling, validation, and delivery; Manage assumptions and risks, and work with others to clear issues</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; Utilize APIs, platforms, containers, multi-threading, distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of prior experience working in teams of data & analytics professionals to deliver on business-driven analytics projects using natural language processing, machine learning on unstructured data, and/or information retrieval; Experience performing data science (data discovery, cleaning, model selection, validation, and deployment); Coding artificial intelligence methods; and restructuring, refactoring, and optimizing code for efficiency; Multidisciplinary backgrounds; Proficiency<br/>\r\r\nwith healthcare analytics and data structures is preferred</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Provide assistance, and resolve problems, using solid problem-solving skills, verbal/written communication</li><li>\r\r\nUnderstanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss mathematical formulations, alternatives, and impact on modeling approach; Understanding of development practices such as testing, code design, complexity, and code optimization</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 187 [<p>Working within the Transportation and Hydrogen Systems Center as part of the Electric Vehicle (EV) Grid Integration Team, this position will help analyze, integrate and optimize the operation of electric vehicle infrastructure. The successful candidate will join our Electric Vehicle Infrastructure Projection tool (EVI-Pro) modeling effort as we strive to model regional EV charging integration with distribution grid operations through collaboration with other government research, academic and industry partners creating value and opportunity for the utility and transportation industry.\r\r\n</p>, <p>The EVGI team is looking for a researcher with a passion for big data, economics, consumer behavior, EVs, and rate design to join their growing team. Because this is an emerging research area, we are interested in applicants from a broad background. Experience in computational science, distribution system planning, power electronics, econometrics, public policy, and geographical information systems are a major plus. This position will require the successful candidate to participate in the development and execution of models, analysis of results, and publication of results in written reports and spoken presentations. Previous experience with technologies such as demand response, wind energy, solar energy, concentrating solar energy, distributed generation, and energy storage, as well as systems integration issues is a major plus.\r\r\n</p>, <p>Successful candidates will have a background and expertise in one or more of the following topics:\r\r\n</p>, <ul><li>Demonstrated experience in solving numerical scientific or engineering problems that require very large datasets using programming languages such as Python, Matlab, Java, R, and/or C++\r\r\n</li><li>Exposure to concepts and methods in electricity markets, power systems modeling, electric vehicle powertrain modelling, other relevant engineering systems modeling.\r\r\n</li><li>Exceptional written and spoken communication skills.\r\r\n</li></ul>, <p>.\r\r\n</p>, <p><b>Required Education, Experience, and Skills\r\r\n</b></p>, <p>.\r\r\n</p>, <p><b>Preferred Qualifications\r\r\n</b></p>, <p><b>PREFERRED EDUCATION, EXPERIENCE AND SKILLS\r\r\n</b><br/>\r\r\nMaster's Degree in Electrical Engineering, Systems Engineering or in relevant discipline. Or, Bachelor's Degree in Electrical Engineering, Systems Engineering or in relevant discipline, and 2 or more years of experience. General knowledge and application of engineering technical standards, principles, theories, concepts and techniques. Training in team, task or project leadership responsibilities. Intermediate abilities and knowledge of practices and techniques. Beginning experience in project management. Good writing, interpersonal and communication skills.\r\r\n</p>, <p><b>PREFERRED QUALIFICATIONS\r\r\n</b></p>, <p>Preferred candidates will k nowledge of and experience with hybrid and electric vehicle technologies, such as high voltage batteries, inverters, and chargers; as well as knowledge of grid and electric vehicle supply equipment (EVSE) and back-office networks necessary for integrated EV-Grid operation. Further, preferred candidates will have qualifications in any of the following categories:\r\r\n</p>, <ul><li>Demonstrated interaction with cross-disciplinary research team and external stakeholders.\r\r\n</li><li>Prior work or academic experience on topics relating to customer adoption or customer operation of distributed energy resources\r\r\n</li><li>Experience developing statistical, machine-learning based, and/or agent-based models\r\r\n</li><li>Knowledge or experience with power systems modeling tools such as GridLAB-D or OpenDSS\r\r\n</li><li>Prior work or academic experience on topics relating to behavioral, economic, and regulatory aspects of distributed energy resources\r\r\n</li><li>Understanding of electric vehicle-related interface and communications standards CAN, SAE J1772, J2836, J2847, J3068, J3072, IEC 61851, CHAdeMO, and/or Open Charge Point Protocol.\r\r\n</li></ul>, <p>.\r\r\n</p>, <p><b>Submission Guidelines\r\r\n</b></p>, <p>Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.\r\r\n</p>, <p>.\r\r\n</p>, <p><b>EEO Policy\r\r\n</b></p>, <p>NREL is dedicated to the principles of equal employment opportunity. NREL promotes a work environment that does not discriminate against workers or job applicants and prohibits unlawful discrimination on the basis of race, color, religion, sex, national origin, disability, age, marital status, ancestry, actual or perceived sexual orientation, or veteran status, including special disabled veterans.\r\r\n</p>, <p>NREL validates right to work using E-Verify. NREL will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization.</p>]
## 188 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking an Associate to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics to work with our Healthcare team.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches; rapidly iterate models and results to refine and validate approach while working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nDeliver on engagement milestones by following analytics processes to mitigate risks in data, modeling, validation, and delivery; Manage assumptions and risks, and work with others to clear issues</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; Utilize APIs, platforms, containers, multi-threading, distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of prior experience working in teams of data & analytics professionals to deliver on business-driven analytics projects using natural language processing, machine learning on unstructured data, and/or information retrieval; Experience performing data science (data discovery, cleaning, model selection, validation, and deployment); Coding artificial intelligence methods; and restructuring, refactoring, and optimizing code for efficiency; Multidisciplinary backgrounds; Proficiency<br/>\r\r\nwith healthcare analytics and data structures is preferred</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Provide assistance, and resolve problems, using solid problem-solving skills, verbal/written communication</li><li>\r\r\nUnderstanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss mathematical formulations, alternatives, and impact on modeling approach; Understanding of development practices such as testing, code design, complexity, and code optimization</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 189 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking an Associate to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics to work with our Healthcare team.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches; rapidly iterate models and results to refine and validate approach while working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nDeliver on engagement milestones by following analytics processes to mitigate risks in data, modeling, validation, and delivery; Manage assumptions and risks, and work with others to clear issues</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; Utilize APIs, platforms, containers, multi-threading, distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of prior experience working in teams of data & analytics professionals to deliver on business-driven analytics projects using natural language processing, machine learning on unstructured data, and/or information retrieval; Experience performing data science (data discovery, cleaning, model selection, validation, and deployment); Coding artificial intelligence methods; and restructuring, refactoring, and optimizing code for efficiency; Multidisciplinary backgrounds; Proficiency<br/>\r\r\nwith healthcare analytics and data structures is preferred</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Provide assistance, and resolve problems, using solid problem-solving skills, verbal/written communication</li><li>\r\r\nUnderstanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss mathematical formulations, alternatives, and impact on modeling approach; Understanding of development practices such as testing, code design, complexity, and code optimization</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 190 [<ul><li><p>Apply knowledge and know? how of data science to applications pertinent to subject matter experts at MDA.\r\r\n</p></li><li><p>Collaborate with business units and end? users to create compelling and accurate data presentations based on the entire Data Analytics and reporting service suite.</p></li><li><p>\r\r\nDesign and prototype data ingestion, cleaning, curation, storage and retrieval, concentrating particularly on analytics, statistical modeling, dissemination and presentation.\r\r\n</p></li><li><p>Work with developers and data analysts from the Data Analytics team to build and maintain end? to? end user capabilities and interface based on business functional and performance requirements</p></li><li>\r\r\n Other duties as assigned</li></ul>, <p>Apply knowledge and know? how of data science to applications pertinent to subject matter experts at MDA.\r\r\n</p>, <p>Collaborate with business units and end? users to create compelling and accurate data presentations based on the entire Data Analytics and reporting service suite.</p>, <p>\r\r\nDesign and prototype data ingestion, cleaning, curation, storage and retrieval, concentrating particularly on analytics, statistical modeling, dissemination and presentation.\r\r\n</p>, <p>Work with developers and data analysts from the Data Analytics team to build and maintain end? to? end user capabilities and interface based on business functional and performance requirements</p>, <ul><li><p>\r\r\nHigh School Diploma (or GED) and 20 years general experience, or an associate degree and 18 years general experience, or BS degree and 16 years general experience, or a MS degree and 14 years general experience</p></li><li><p>\r\r\nRequires 14 years directly related experience; Related experience must be in one or more of the following: Java, Microsoft Certified Solutions Developer (MCSD), Elasticsearch ELK Stack (or other Big Data) ecosystem, Cloudera, Kafka, Linux (Redhat), SQL, JSON, C++, Python, R, C#, Ruby, Agile methodologies, Adobe Certified Expert (ACE)</p></li><li><p>\r\r\nMust have strong interpersonal skills and writing ability commensurate with programming skills, mathematical skills and statistical background</p></li><li><p>\r\r\nCandidate must possess a CompTIA Security+ with CE or higher or able to obtain certification within 30 days</p></li><li><p>\r\r\nMust be a US citizen and must be able to obtain and maintain an active DoD Secret clearance</p></li></ul>, <p>\r\r\nHigh School Diploma (or GED) and 20 years general experience, or an associate degree and 18 years general experience, or BS degree and 16 years general experience, or a MS degree and 14 years general experience</p>, <p>\r\r\nRequires 14 years directly related experience; Related experience must be in one or more of the following: Java, Microsoft Certified Solutions Developer (MCSD), Elasticsearch ELK Stack (or other Big Data) ecosystem, Cloudera, Kafka, Linux (Redhat), SQL, JSON, C++, Python, R, C#, Ruby, Agile methodologies, Adobe Certified Expert (ACE)</p>, <p>\r\r\nMust have strong interpersonal skills and writing ability commensurate with programming skills, mathematical skills and statistical background</p>, <p>\r\r\nCandidate must possess a CompTIA Security+ with CE or higher or able to obtain certification within 30 days</p>, <p>\r\r\nMust be a US citizen and must be able to obtain and maintain an active DoD Secret clearance</p>, <ul><li><div>\r\r\nExperience developing processes and training and cloud based system architectures and related tool</div></li><li><div>\r\r\nExperience in large development initiatives, developing high volume database applications, data warehousing, complex shell scripting, Agile methodology and publicor private cloud experience</div></li><li><div>\r\r\nExperience with Cloudera, Kafka, Logstash, Redhat, SQL, JSON, C++, Python, R, C#, Ruby, Agile Methodologies, Adobe Certified Expert (ACE).</div></li></ul>]
## 191 [<ul><li><p>Apply knowledge and know? how of data science to applications pertinent to subject matter experts at MDA.\r\r\n</p></li><li><p>Collaborate with business units and end? users to create compelling and accurate data presentations based on the entire Data Analytics and reporting service suite.</p></li><li><p>\r\r\nDesign and prototype data ingestion, cleaning, curation, storage and retrieval, concentrating particularly on analytics, statistical modeling, dissemination and presentation.\r\r\n</p></li><li><p>Work with developers and data analysts from the Data Analytics team to build and maintain end? to? end user capabilities and interface based on business functional and performance requirements</p></li><li>\r\r\n Other duties as assigned</li></ul>, <p>Apply knowledge and know? how of data science to applications pertinent to subject matter experts at MDA.\r\r\n</p>, <p>Collaborate with business units and end? users to create compelling and accurate data presentations based on the entire Data Analytics and reporting service suite.</p>, <p>\r\r\nDesign and prototype data ingestion, cleaning, curation, storage and retrieval, concentrating particularly on analytics, statistical modeling, dissemination and presentation.\r\r\n</p>, <p>Work with developers and data analysts from the Data Analytics team to build and maintain end? to? end user capabilities and interface based on business functional and performance requirements</p>, <ul><li><p>\r\r\nHigh School Diploma (or GED) and 20 years general experience, or an associate degree and 18 years general experience, or BS degree and 16 years general experience, or a MS degree and 14 years general experience</p></li><li><p>\r\r\nRequires 14 years directly related experience; Related experience must be in one or more of the following: Java, Microsoft Certified Solutions Developer (MCSD), Elasticsearch ELK Stack (or other Big Data) ecosystem, Cloudera, Kafka, Linux (Redhat), SQL, JSON, C++, Python, R, C#, Ruby, Agile methodologies, Adobe Certified Expert (ACE)</p></li><li><p>\r\r\nMust have strong interpersonal skills and writing ability commensurate with programming skills, mathematical skills and statistical background</p></li><li><p>\r\r\nCandidate must possess a CompTIA Security+ with CE or higher or able to obtain certification within 30 days</p></li><li><p>\r\r\nMust be a US citizen and must be able to obtain and maintain an active DoD Secret clearance</p></li></ul>, <p>\r\r\nHigh School Diploma (or GED) and 20 years general experience, or an associate degree and 18 years general experience, or BS degree and 16 years general experience, or a MS degree and 14 years general experience</p>, <p>\r\r\nRequires 14 years directly related experience; Related experience must be in one or more of the following: Java, Microsoft Certified Solutions Developer (MCSD), Elasticsearch ELK Stack (or other Big Data) ecosystem, Cloudera, Kafka, Linux (Redhat), SQL, JSON, C++, Python, R, C#, Ruby, Agile methodologies, Adobe Certified Expert (ACE)</p>, <p>\r\r\nMust have strong interpersonal skills and writing ability commensurate with programming skills, mathematical skills and statistical background</p>, <p>\r\r\nCandidate must possess a CompTIA Security+ with CE or higher or able to obtain certification within 30 days</p>, <p>\r\r\nMust be a US citizen and must be able to obtain and maintain an active DoD Secret clearance</p>, <ul><li><div>\r\r\nExperience developing processes and training and cloud based system architectures and related tool</div></li><li><div>\r\r\nExperience in large development initiatives, developing high volume database applications, data warehousing, complex shell scripting, Agile methodology and publicor private cloud experience</div></li><li><div>\r\r\nExperience with Cloudera, Kafka, Logstash, Redhat, SQL, JSON, C++, Python, R, C#, Ruby, Agile Methodologies, Adobe Certified Expert (ACE).</div></li></ul>]
## 192 [<p><b>Description</b>\r\r\n</p>, <p>The <i>Harvard Review </i>describes the <b>Analytics Translator</b> as the new must-have role in an organization. <i>MIT Sloan Management Review</i> says that in many organizations, there is a consistent disconnect between data scientists and the executive decision makers – that’s why it’s time for a new role – the data translator.</p>, <p>\r\r\nHighmark Health’s Pharmacy Services Team has identified this exciting new role to play a critical role in bridging the technical expertise of data engineers and data scientists with the operational expertise of our Pharmacy frontline business staff.</p>, <p>\r\r\nThe incumbent helps to ensure that the deep insights generated through sophisticated analytics translate into impact at scale in the Pharmacy organization. The incumbent draws on his or her domain knowledge to help Pharmacy business leaders identify and prioritize their business problems, based on which will create the highest value when solved.</p>, <p>\r\r\nThese may be opportunities within a single line of business (e.g., improving client-facing reporting) or cross-organizational initiatives (e.g., creating integrated views of medical and pharmacy drug spend to identify areas of opportunity). In order to develop solutions to these problems, the incumbent will tap into their working knowledge of Artificial Intelligence and analytics to convey business goals to the data professionals who create the models and solutions, ensuring that the solution produces insights that the business can interpret and execute on, and, ultimately, communicates the benefits of these insights to business users to drive adoption.</p>, <p><b>\r\r\nESSENTIAL RESPONSIBILITIES</b></p>, <ul><li>\r\r\nSupport executive leadership in scoping and solutioning business needs by identifying and prioritizing problems suited for analytics and setting expectations for feasibility and impact to the business.</li><li>\r\r\nDevelop project plans and deliverables for data and analytics teams to execute on to support the business and operation needs, acting as a translator to turn business operation and decision needs into analytic work plan.</li><li>\r\r\nSynthesizes complex analytics-derived insights into easy-to-understand, actionable recommendations for various levels of business needs, from individual sales staff to executive leadership.</li><li>\r\r\nWork with data scientist and matrixed partners to identify the business data needed to produce the most useful insights to the team ensuring that the solution solves the business problem in the most efficient and interpretable form for business users.</li><li>\r\r\nProvide leadership and project oversight to matrixed Analytics and Data team members.</li><li>\r\r\nSupport various enterprise initiatives by working as part of matrixed teams with members having a wide variety of business expertise, skill sets, and priorities. Help to drive results from these teams through various modes of support.</li></ul>, <p><b>EDUCATION</b></p>, <p><b>\r\r\nRequired</b></p>, <ul><li>\r\r\nMaster's Degree in Mathematics, Engineering, Physics, Computer/Information Science, Decision Science, Health Information Systems, or related field</li></ul>, <p><b>Substitutions</b></p>, <ul><li>\r\r\nNone</li></ul>, <p><b>Preferred</b></p>, <ul><li>\r\r\nDoctorate in Pharmacy, Mathematics, Engineering, Computer Information Systems, or related field</li></ul>, <p><b>EXPERIENCE</b></p>, <p><b>\r\r\nRequired</b></p>, <p>\r\r\n3 years of experience in Data Science</p>, <p>\r\r\nAnd 3 years of experience in one or more of the following:</p>, <ul><li>\r\r\nData Analytics</li><li>\r\r\nUsing large data sets and data visualization</li><li>\r\r\nUtilizing statistical software and predictive modeling</li></ul>, <p>To include 1 year of experience in</p>, <ul><li>\r\r\nResearch and development</li><li>\r\r\nDecision Support</li><li>\r\r\nConsulting</li><li>\r\r\nHealthcare</li></ul>, <p><b>Preferred</b></p>, <ul><li>\r\r\n3 years of Pharmacy experience</li></ul>, <p><b>SKILLS</b></p>, <ul><li>\r\r\nPython and/or R</li><li>\r\r\nCollaborative Problem Solving</li><li>\r\r\nAnalytical and Logical Reasoning/Thinking</li><li>\r\r\nAnalysis of business problems/needs</li><li>\r\r\nStructured problem solving</li><li>\r\r\nInterpretation of quantitative model results</li><li>\r\r\nWritten & Oral Presentation Skills</li><li>\r\r\nExperience with Spark and big data querying tools, such as Hive</li><li>\r\r\nExperience cleaning and transforming data</li><li>\r\r\nExperience with data and feature selection</li><li>\r\r\nExperience with Data Visualization and Dashboard tools such as Tableau, Spotfire, Qlikview, ggplot, Shiny</li><li>\r\r\nSAS</li><li>\r\r\nSQL</li></ul>, <p>Employee referral level: 2</p>, <p><b><i>\r\r\nDisclaimer:</i></b><i> The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.</i></p>, <p><b><i>\r\r\nCompliance Requirement:</i></b><i> This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies</i></p>]
## 193 [<ul>\r\r\n<li>Certification as a Certified Professional in Healthcare Quality (CPHQ)</li>\r\r\n<li>Thorough knowledge of statistical software, such as SAS/R/Python</li>\r\r\n<li>Working knowledge of provider analytics</li>\r\r\n<li>Working knowledge of SQL and of data visualization tools, such as Tableau</li>\r\r\n<li>Experience working on Artificial Intelligence projects</li>\r\r\n</ul>, <ul>\r\r\n<li>Thorough Knowledge of:</li>\r\r\n<li>Predictive modeling, data mining, and risk adjustment</li>\r\r\n<li>Statistical techniques and data science</li>\r\r\n<li>Principles and practices of project management</li>\r\r\n<li>Statistical software, such as SAS/R/Python</li>\r\r\n<li>Windows based PC systems and Microsoft Word, Outlook, PowerPoint, and Excel, as well as report-generating software</li>\r\r\n<li>Program outcomes evaluation metrics, such as National Committee for Quality Assurance (NCQA), Utilization Review Accreditation Commission (URAC), Agency for Healthcare Research and Quality (AHRQ), and/or Leapfrog</li>\r\r\n<li>Healthcare industry and healthcare information standards such as HL7, LOINC, FHIR, ICD 9/10 and CPT codes, industry standard groupers, such as ETGs, DRGs, and DCGs</li>\r\r\n<li>Health plan and delivery system operations, healthcare informatics, and healthcare benefits and terminology</li>\r\r\n<li>Ability to:</li>\r\r\n<li>Perform new product development from concept to final delivery</li>\r\r\n<li>Develop new algorithms and modify existing algorithms in order to solve business problems</li>\r\r\n<li>Identify and analyze database and data processing problems and recommend solutions</li>\r\r\n<li>Apply business acumen and quickly and effectively assess business situations, risks, and opportunities in order to ensure beneficial outcomes</li>\r\r\n<li>Manage multiple projects simultaneously, organize work, maintain accurate records, and achieve goals and timelines</li>\r\r\n<li>Develop data-driven and outcome-based initiatives to improve business decision making</li>\r\r\n<li>Work collaboratively with individuals at all levels in a matrix organization while supporting multiple customers</li>\r\r\n<li>Education and Experience:</li>\r\r\n<li>Master's degree in Data Science, Predictive Analytics, Engineering, Mathematics, Statistics, Computer Science or a related field</li>\r\r\n<li>Minimum of five years of advanced analytics experience in a healthcare setting which included a minimum of three years of experience building and applying predictive models and performing programming using statistical software or an equivalent combination of education and experience which would provide the required knowledge, skills and abilities may be qualifying. (Note: a Bachelor's degree and two years of additional experience may substitute for the Master's degree).</li>\r\r\n</ul>, <ul>\r\r\n<li>Medical, Dental and Vision Plans</li>\r\r\n<li>Ample Paid Time Off</li>\r\r\n<li>11 Paid Holidays per year</li>\r\r\n<li>401(a) Retirement Plan</li>\r\r\n<li>457 Deferred Compensation Plan</li>\r\r\n<li>Robust Health and Wellness Program</li>\r\r\n<li>Fresh Fruit Delivery</li>\r\r\n<li>EV Charging Stations</li>\r\r\n<li>And many more ( http://benefits.filice.com/centralcalifornia/2018/benguide.pdf )</li>\r\r\n</ul>]
## 194 [<ul>\r\r\n<li>2+ years of experience as a data scientist</li>\r\r\n<li>Experience with building statistical models and developing machine learning algorithms</li>\r\r\n<li>Experience with managing data scientist team</li>\r\r\n<li>Experience with programming languages, Python, R, Scala, or Java</li>\r\r\n<li>Experience with Big Data technologies, HDFS, Hadoop, or Spark</li>\r\r\n<li>Experience with deep learning paradigms and frameworks</li>\r\r\n<li>Experience with manipulating data and ETL in parallel processing and distributed compute environments</li>\r\r\n<li>Experience with designing and executing machine learning models and applications</li>\r\r\n<li>TS/SCI clearance</li>\r\r\n<li>BA or BS degree</li>\r\r\n</ul>, <ul>\r\r\n<li>2+ years of experience with managing disparate data sources with varying data structures of content, and preparing these for data science and machine learning applications</li>\r\r\n<li>1+ years of experience as a developer of Java, Python, R, or similar high-level languages</li>\r\r\n<li>1+ years of experience with designing novel data analytic methods and workflows, including full data pipelines from raw data through analysis results</li>\r\r\n<li>Experience in working with Big Data storage, processing, and computation, including one or more of Accumulo, Spark, Storm, Kafka, and MapReduce</li>\r\r\n<li>Ability to both manage and manipulate large data sets, develop data science approaches, and manage data science tasks</li>\r\r\n<li>Ability to leverage a wide variety of data science capabilities and languages</li>\r\r\n<li>Ability to exhibit flexibility, initiative, and innovation when dealing with ambiguous and fast-paced situations</li>\r\r\n</ul>]
## 195 [<ul><li>Lead or support development, collection, analysis and transformation of workforce data using databases, spreadsheets, queries, statistical tools and programs.</li><li>Lead or contributes to development of models, forecasts, simulations, reports and analysis/insights.</li><li>Applies extensive technical experience and has full knowledge of related discipline to complex problems requiring use of ingenuity and creativity.</li><li>Translate findings into meaningful visualizations.</li><li>Provide analysis and interpretation of external and internal human resource trends and insights.</li><li>Lead or support technical requirement development, testing implementation of workforce solutions, dashboards and visualizations.</li><li>Maintains excellent working relationships with Human Resources colleagues, including Working HR Business Partners, Labor Relations, Compensation, Global Diversity & Inclusion, Talent Acquisition, and Legal as needed.</li><li>Drives lateral connectivity and collaboration within Human Resources and across the enterprise.</li><li>Delivers data driven solutions that are efficient, effective, and flexible.</li><li>Performs other duties as assigned.</li></ul>, <ul><li>Bachelor’s degree in Statistics, Economics, Engineering, Mathematics, Industrial/Organizational Psychology, or other discipline with substantial scientific and quantitative training.</li><li>Minimum of 6 years of experience working with databases, spreadsheets, queries, and data visualization tools/techniques to translate data into meaningful insights</li><li>Minimum of 3 years of experience working on statistical analysis, predictive modeling, forecasting, simulation, segmentation, or other advanced data analysis techniques.</li><li>Proficiency with statistics tools (e.g. SAS, R, Python/Pandas, SPSS, MATLAB).</li><li>Proficiency with SQL or similar language.</li><li>Experience designing, developing, and automating complex analytical processes (data gathering, cleanup, aggregation, transformations, analysis, modeling, testing, reporting, visualization, and delivery of data products, output files, etc.).</li><li>Demonstrated experience applying statistics and higher order analytics (for example, retrospective / trend analysis, regression, predictive analysis/modeling) within a business context.</li><li>Proficient in data visualization with software such as Tableau.</li><li>Use of Microsoft Excel, Macros and/or Access to analyze data.</li><li>Strong analytical skills and problem-solving skills.</li><li>Guides successful completion of major initiatives working either independently or in a team environment, depending on the task.</li><li>Demonstrated experience extracting, cleansing, and analyzing data for a large company (10,000 or more employees).</li><li>Demonstrated experience presenting analyses and recommendations to non-technical audiences.</li><li>Demonstrated experience managing projects and initiatives, including developing project plans, identifying stakeholders, preparing corresponding communication plans, identifying of milestones, deadlines, and metrics to assess outcomes/results.</li></ul>, <ul><li>Strong presentation development and writing skills (e.g., proficient in Microsoft PowerPoint and Word).</li><li>Demonstrated ability to translate data analysis and research findings into easy to understand, actionable recommendations for people at different levels of the organization.</li><li>Experience working in an HR function.</li><li>Experience with text analytics.</li><li>Experience with longitudinal analysis and cohort/panel studies.</li><li>Experience with time-to-event models (e.g. survival analysis).</li><li>Experience collecting and parsing data from various sources to feed analysis (e.g. relational databases, no-SQL databases, files, XML, HTML/web, etc.).</li><li>Experience in developing reports using any major BI Package (Tableau, MicroStrategy, Business Objects, Cognos, Oracle BIEE or similar).</li><li>Demonstrated ability to influence stakeholders using multiple methods based on context.</li></ul>]
## 196 [<p>Data Scientist</p>, <ul><li>As a Data Scientist, you validate the data, pattern, flow and provide solutions and suggestions.\r\r\n</li><li>You should be able to identify risks to project execution and works with partners to mitigate the same.\r\r\n</li><li>You will execute the design, analysis, or evaluation of assigned projects using sound engineering.\r\r\n</li><li>You apply advanced analytics, data mining and statistical techniques on a variety of industries and using a diverse set of tools to bring insights out of complex data.\r\r\n</li><li>You will assess information from a range of data stored in disparate systems, integrating data and providing data mining to answer specific business questions as well as identifying unknown trends and relationships in data.</li>\r\r\n</ul>, <ul>\r\r\n<li>Data Modulation</li>\r\r\n<li>Data Analysis</li>\r\r\n<li>Identify data patterns and issues using algorithms and mathematics</li>\r\r\n<li>Data Coding/Decoding</li>\r\r\n<li>Artificial Intelligence</li>\r\r\n<li>Data Algorithms</li>\r\r\n</ul>, <ul>\r\r\n<li>Advanced degree in Statistics, Mathematics, Operations Research Information Systems or similar analytic/data intensive subject area – or the acquisition of such skills through professional experience.</li>\r\r\n<li>12+ years of experience in leading a data science deliverable with an onsite-offshore team of data scientist and data engineers.\r\r\n</li><li>Proven hands on experience with Python and R for building models and exposure to Big Data (distributed system) with superb interpersonal skills.</li>\r\r\n</ul>, <p><b>\r\r\nJob Location : </b>Moline, Illinois, United States</p>, <p><b>\r\r\nEmployee Status : </b>Full Time Employee</p>, <p><b>\r\r\nShift : </b>Day Job</p>, <p><b>\r\r\nTravel : </b>No</p>, <p><b>\r\r\nJob Posting : </b>Sep 06 2018</p>, <p>\r\r\nCognizant US Corporation is an Equal Opportunity Employer Minority/Female/Disability/Veteran. If you require accessibility assistance applying for open positions in the US, please send an email with your request to CareersNA2@cognizant.com</p>]
## 197 [<p>One of the D.C. metro areas most prominent financial institutes is looking for a full-time Data Scientist and is willing to offer very competitive pay and benefits. Ideal candidates have strong skills in using Python, R, and SQL with a strong foundation in predictive analytics.</p>, <p>Those who fill this role will work closely with portfolio assessment teams to understand their analytical needs and develop and maintain models that provide insight into increasing revenue. The ideal candidate will possess both superior technical ability as well as effective communication.</p>, <p><b>Required Skills & Experience</b></p>, <ul><li>Bachelor’s degree in Data Science, Statistics, or related field</li>\r\r\n<li>1 years of experience working in a forecasting role in economics, finance, or marketing analysis</li>\r\r\n<li>Knowledge of statistical tests and procedures such as ANOVA and multivariate regression</li>\r\r\n<li>Demonstrated ability to conduct and interpret quantitative and qualitative analyses</li>\r\r\n<li>Expertise leveraging R, SAS, Python, and SQL to generate and deploy modeling solutions</li>\r\r\n<li>Experience using data visualization tools such as Tableau to analyze and present data</li>\r\r\n</ul>, <p><b>Preferred Education & Experience</b></p>, <ul><li>Master’s degree in Data Science, Statistics, or related field</li>\r\r\n<li>Prior positions in higher education or working with education data</li>\r\r\n<li>Experience implementing predictive analytics in a production setting</li>\r\r\n<li>Prior roles performing sales forecasting and demand planning</li>\r\r\n<li>Strong understanding of data warehouse concepts</li>\r\r\n<li>Experience working with large structured and unstructured data sets</li>\r\r\n</ul>, <p><b>Benefits & Perks</b></p>, <ul><li>Generous PTO</li>\r\r\n<li>401k, health, dental insurance</li>\r\r\n<li>Stock option and annual bonuses</li>\r\r\n<li>Free coffee and snacks</li>\r\r\n<li>Gym membership discount</li></ul>]
## 198
## 199 [<ul><li><div>Work with Federal clients to mitigate cyber risk and threats</div></li>\r\r\n<li><div>Identify opportunities for efficiencies in work process and innovative approaches to completing scope of work</div></li>\r\r\n<li><div>Participate in team problem solving efforts and offer ideas to solve client issues</div></li>\r\r\n<li><div>Conduct relevant research, data analysis, and create reports</div></li>\r\r\n<li><div>Maintain responsibility for completion and accuracy of work products</div></li>\r\r\n<li><div>Assist in proposal development, as requested</div></li>\r\r\n<li><div>Actively expand consulting skills and professional development through training courses, mentoring, and daily interaction with clients</div></li>\r\r\n<li><div>Coordination of client initiated security projects or initiatives\r\r\n</div></li><li><div>Develop and tune cyber tools and technology like ELK, Apache SPARK, Kafka, Suricata, BRO, cuckoo, and yara</div></li>\r\r\n<li><div>Provide defensive cyber engineering support using IDS/IPS, firewalls, Host Based Security, SIEM etc.<br/>\r\r\n</div></li></ul>, <ul><li><div>Bachelor’s Degree in Information Technology, Information Systems Security, Cybersecurity, or related field</div></li>\r\r\n<li><div>2+ years of relevant consulting or industry experience</div></li>\r\r\n<li><div><b>At least a Secret clearance\r\r\n</b></div></li><li><div>IAT level 2 certification\r\r\n</div></li><li><div>Proven experience effectively prioritizing workload to meet deadlines and work objectives</div></li>\r\r\n<li><div>Software development background and /or experience developing cyber tools using ELK, Apache SPARK, Kafka, Suricata, BRO, cuckoo, and/or yara</div></li>\r\r\n<li><div>Strong Python experience</div></li></ul>, <ul><li><div>Previous Federal Consulting experience</div></li>\r\r\n<li><div>Understanding of fundamental cloud computing concepts</div></li>\r\r\n<li><div>Experience with Information Assurance concepts and processes within the Federal government</div></li>\r\r\n<li><div>Data Science experience\r\r\n</div></li></ul>, <p>As used in this document, “Deloitte” means Deloitte LLP and its subsidiaries. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]
## 200 [<ul><li>Understand business needs and apply Data Science/AI/Machine Learning technology to solve real-world business problems</li><li>\r\r\nAbility to build and optimize models using machine learning techniques including feature selection & engineering, boosting, deep learning and ensembles</li><li>\r\r\nAddress pain points of the business and provide additional insights across domains like Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning, and/or statistical modeling.\r\r\n</li><li>As a technical lead candidate will be working with various team members such as data engineers, data scientists, statisticians, actuaries and with application developers</li><li>\r\r\nAnalyze source data, working with structured and unstructured data</li><li>\r\r\nManipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends</li><li>\r\r\nExtend company’s data with third party sources of information when needed</li><li>\r\r\nMay manage one or more advanced research projects simultaneously</li><li>\r\r\nUnderstands business needs and applies AI/Machine Learning technology to solve real-world problems</li><li>\r\r\nPresent analysis and recommendations to target audience</li></ul>, <ul><li>2+ years of experience in one or more of the following: Machine Learning Libraries, TensorFlow, Machine Vision, and Natural Language Processing\r\r\n</li><li>4+ years of experience in programming with Python, R, or Java</li><li>\r\r\n2+ years of experience in handling data and working with database tools, e.g., SQL, Hadoop or Spark\r\r\n</li><li>Proven ability to work creatively and analytically in a problem-solving environment</li><li>\r\r\nExcellent communication (written and oral) and interpersonal skills</li><li>\r\r\nExperience with Deep Learning Tools such as TensorFlow</li><li>\r\r\nExperience with contributing to open source project</li><li>\r\r\nExperience with managing entry level employees</li></ul>]
## 201 [<ul><li>High school diploma and 20 years of general experience OR an associate’s degree and 18 years of general</li></ul>, <ul><li>14 years of directly related experience required</li></ul>, <ul><li>Related experience must be in one of the following: Java, Microsoft Certified Solutions Developer (MCSD), Elasticsearch ELK Stack (or other Big Data) ecosystem, Cloudera, Kafka, Linux (Redhat), SQL, JSON, C++, Python, R, C#, Ruby, Agile methodologies, Adobe Certified Expert (ACE)</li></ul>, <ul><li>Must possess a CompTIA Security+ with CE or higher or able to obtain certification within 30 days</li></ul>, <ul><li>Must be willing to travel 25%, including air travel</li></ul>, <ul><li>Must have an <b>active Secret security clearance</b></li></ul>, <ul><li>Experience developing processes and training and cloud-based system architectures and related tools</li></ul>, <ul><li>Experience with Cloudera, Kafka, Logstash, Redhat, SQL, JSON, C++, Python, R, C#, Ruby, Agile Methodologies,</li></ul>, <ul><li>Excellent interpersonal skills and ability to work both independently and in a fast-paced team environment</li></ul>, <ul><li>Experience in large development initiatives, developing high volume database applications, data warehousing, complex shell scripting,</li></ul>, <ul><li>Agile methodology and public or private cloud experience</li></ul>, <ul><li>Medical/dental/vision insurance</li></ul>, <ul><li>401(k) plan with company match</li></ul>, <ul><li>Paid holidays</li></ul>, <ul><li>Accrued Paid Time Off</li></ul>]
## 202
## 203 [<ul><li>Analyzing vast amounts of complex pricing-related data, applying statistical/machine learning/other unique methods to develop/validate/improve predictive models and to identify data integrity issues</li><li>Finding creative ways to enhance existing models by incorporating new insights and data sources (customer interest metrics, web click stream data, market pricing data, etc.)</li><li>Designing controlled experiments to assess the business value of new models</li><li>Presenting insights and recommendations to Senior Management to drive change</li></ul>, <ul><li>Researching innovations and best practices related to data sources and modeling methodologies</li><li>Influencing the team in the development of our modeling capability strategic roadmap</li></ul>, <ul><li>Passion for using analytics in problem solving</li></ul>, <ul><li>Experience managing your own projects and delivering timely results</li><li>Record of building and maintaining strong working relationships</li><li>Ability to explain standard or novel modeling methods</li></ul>, <ul><li>Undergraduate degree in a quantitative discipline (graduate degree in statistics, data science, or related field is a plus)</li></ul>, <ul><li>2+ years of experience in strategic analysis, financial analysis, consulting or engineering (experience using SQL and Python to analyze big data sets is a plus)</li></ul>, <ul><li>Play key role in driving company's strategy</li><li>Despite being undisputed market leader, CarMax only has a 4% market share of the late-model used car market, allowing room for exponential growth</li></ul>, <ul><li>Your development is as important as your work in our group</li><li>Our leaders are heavily invested in helping all analysts hone their technical, communication, leadership, and other skills</li></ul>, <ul><li>CarMax was voted a Fortune 100 best company to work for 12 years in a row</li><li>Good work/life balance; we work hard, but enjoy very reasonable hours</li><li>Work with a close knit team in a fun and casual environment. The broader Strategy Group at CarMax consists of 100+ analysts with stellar work and academic backgrounds contributing to our collaborative atmosphere</li><li>In addition to comprehensive benefits, we have perks like flexible vacation and an on-campus fitness center</li></ul>]
## 204 [<p><b>Company:</b> Arvato Digital Services LLC - Arvato FS USA</p>, <p><b>\r\r\nRequisition ID:</b> 14981</p>, <p><b>\r\r\nOverall Job Purpose:</b></p>, <p><b>\r\r\nThis role can be located in Reno, NV or Atlanta, GA.</b> Reporting to the Director Analytics & Consulting Services and working closely with the Global Client Lead, Project Manager and Sales Manager, the (Senior) Data Scientist develops and runs analytical models deploying various Machine Learning algorithms and Advanced Analytics tools. This also includes pre-sales support (consultative selling) in close collaboration with our sales team.</p>, <p>\r\r\nThe (Senior) Data Scientist acts as the key point of contact for all data driven questions of our clients in order to deliver Financial Advanced Analytics projects along the Order-2-Cash process. Key areas:</p>, <ul><li>Create a data-driven culture</li><li>Ensure the client data is relevant, connected, accurate and consumable</li><li>Utilize machine Learning & Advanced Analytics capabilities to predict what will/could happen, and identify risks</li><li>Improve Operational Excellence of our clients: Continuously improve the speed, efficiency and accuracy of capabilities, processes, and solutions</li></ul>, <p>\r\r\nThe (Senior) Data Scientist is part of the Arvato Analytics & Consulting Services team that supports through Data Intelligence Services, Advanced Applications & Analytics services, Reporting Services and Program Management Services in an onshore/offshore mix with our partner.</p>, <p><b>\r\r\nJob Duties</b></p>, <ul><li>\r\r\nProvide data-driven business insights and analytics support along the customer life cycle/order-2-cash process</li><li>\r\r\nWork closely with the Analytics & Consulting Services team to spearhead and implement business analytics models and to deliver end-to-end client requests that are of high quality and in a timely fashion</li><li>\r\r\nDevelop innovative and effective approaches to solve client's analytics problems and communicate results and methodologies</li><li>\r\r\nApply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems</li><li>\r\r\nIdentify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo-location information or social media</li><li>\r\r\nPerform extensive data pulls and create datasets for business users to enable clients to build self-serving reports and dashboards</li><li>\r\r\nDevelop and maintain reports and dashboards as per client requests and meet client expectations</li><li>\r\r\nProactively mine and analyze data in order to find meaningful patterns and derive process improvements in order to discuss results with the Business Consultant and/or client</li><li>\r\r\nDevelop and maintain structured process documents, methodology documents and data dictionaries</li><li>\r\r\nProvide necessary documentation to enable business users to build self-serving reports and dashboards wherever necessary</li><li>\r\r\nAcclimatize to new technologies and situations with ease, completing multiple assignments simultaneously while maintaining high standards</li></ul>, <p><b>\r\r\nKey Result Areas\r\r\n</b></p>, <ul><li>Lead data discovery processes with client stakeholders to identify the business requirements and the expected outcome to be able to build impactful analytical models</li><li>\r\r\nAcquire data from primary or secondary data sources and maintain databases/data systems</li><li>\r\r\nIdentify, analyze, and interpret trends or patterns in complex data sets</li><li>\r\r\nCreate dashboards for visualizing the data</li><li>\r\r\nProvide and support with meaningful presentations about data insights and related business impact</li><li>\r\r\nTransfer data insights into business related statements and respective impact</li><li>\r\r\nFormulate and document based on use case specifications, business rules and requirements</li><li>\r\r\nEffective planning skills to successfully manage multiple priorities and assignments</li></ul>, <p><b>\r\r\nPerson Spec and Competencies </b>(Please read in conjunction with the Key Result Areas)</p>, <p><b>\r\r\nEssential Qualifications, Training and Experience:\r\r\n</b></p>, <ul><li>Bachelor’s/Master’s/PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degrees</li><li>\r\r\nStrong footprint (5+ five) in analytical modeling and developing statistical models as well as applying machine learning algorithms</li><li>\r\r\nHighly proficient and experience in working on data modeling projects using e.g. SAS, R, Python, Azure ML, KNIME, SQL</li><li>\r\r\nExperience working in projects following Agile software development life-cycle methodologies</li></ul>, <p><b>\r\r\nDesirable Qualifications, Training and Experience:</b></p>, <ul><li>\r\r\nStrong experience in SQL, R, Python, SAS, Tableau, Power BI or equivalent tools</li><li>\r\r\nBackground in Statistics/Operations research</li></ul>, <p><b>\r\r\nPersonal Attributes required:</b></p>, <ul><li>\r\r\nHighly customer focused with excellent analytical and problem-solving skills</li><li>\r\r\nHighly motivated self-starter who is innovative and quick to learn</li></ul>, <p>\r\r\nExcellent communication and interpersonal skills</p>, <p>\r\r\n“Arvato Financial Solutions is an Equal Opportunities Employer, Embracing Diversity in the workplace”</p>, <p><b>\r\r\nDisclaimer</b></p>, <p>\r\r\nThe above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.</p>, <p><b>\r\r\nAbout our company:</b><br/>\r\r\nArvato - the spirit of solutions!<br/>\r\r\n<br/>\r\r\nWe at Arvato provide a comprehensive range of services and solutions to our business partners in the consumer electronics, high-tech, telecommunication, networking and industrial sectors. With more than five decades of experience and our global footprint we create value for our customers and ensure that they are well equipped for the challenges of their markets.<br/>\r\r\n<br/>\r\r\nArvato is a part of Arvato AG/ Bertelsmann, an internationally networked outsourcing provider. More than 65,000 employees design and implement solutions for all kinds of business processes across integrated service chains, for business customers from around the world. Its portfolio includes all services related to the creation and distribution of printed materials and digital storage media, as well as data management, customer care, CRM services, supply-chain management, digital distribution, financial services, professional and custom IT services, and the direct-to-customer distribution of educational media. Arvato is a wholly-owned subsidiary of Bertelsmann SE & Co. KGaA.</p>]
## 205 [<ul><li><div>Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms</div></li>\r\r\n<li><div>Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions</div></li>\r\r\n<li><div>Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements</div></li></ul>, <ul><li>Bachelor's degree in Computer Science, Engineering, Mathematics or other STEM-related field</li>\r\r\n<li>2+ years of relevant consulting or industry experience</li>\r\r\n<li>Ability to obtain or maintain the required security clearance for this role (Clearable to TS/SCI)</li>\r\r\n<li>Individual will work on small teams to conceptualize, design, develop, test, and harden for deployment advanced analytics, e.g. algorithms in Python, R, C++, SQL, and other tools as required by the client’s problem and environment</li>\r\r\n<li>Must have a strong orientation to quantitative, data-driven analysis including some of the following skills: MS Excel – expert proficiency as demonstrated by advanced use of array and nested formulas and strong pivot table use; Demonstrated understanding of statistics and ability with any of the following: SAS, STATA, SPSS or Matlab</li>\r\r\n<li>Data Visualization: Tableau; Qlikview; D3, Spotfire, Oracle BI, Cognos BI</li>\r\r\n<li>Will likely contribute to the design and development of visualizations and other decision products tailored to the advanced analytics and the client’s decision problem; will be required to both perform analytics and communicate analytic findings and outputs</li></ul>, <ul><li>Prior professional services or federal consulting experience</li>\r\r\n<li>Experience working with quantitative analysis of structured, semi-structured, and unstructured data to assess contextual and spatial/temporal relationships in the data.</li></ul>, <p>As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.</p>, <p>\r\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]
## 206 [<p>Forcepoint is transforming cybersecurity by focusing on what matters most: understanding people’s intent as they interact with critical data and intellectual property wherever it resides. Our uncompromising systems enable companies to empower employees with unobstructed access to confidential data while protecting intellectual property and simplifying compliance. Based in Austin, Texas, Forcepoint supports more than 20,000 organizations worldwide. For more about Forcepoint, visit www.Forcepoint.com and follow us on Twitter at @ForcepointSec.\r\r\n</p>, <p>Forcepoint’s X-Labs is responsible for research and intelligence across all of Forcepoint’s portfolio. We are looking for security-focused scientists and researchers that can help push the state of the art in security data science and human behavior analytics. The researchers will conduct research and invent, define, and implement new detection, prevention, and remediation techniques across Forcepoint’s product portfolio and services.\r\r\n</p>, <p><b>Duties and Responsibilities\r\r\n</b></p>, <ul><li>Delivers directed and applied research that adds new capabilities and business value to Forcepoint products in the context of the “human point” (insider threat detection, dataloss prevention, intent detection, user behavior modeling, post-mortem forensics, etc)\r\r\n</li><li>The research’s spectrum ranges from human behavior to human machine interactions, covers machine to machine interactions, individual system behavior, and more.\r\r\n</li><li>Partners with human behavior analysts and security researchers to build data and analytical models from diverse data sources to enable risk modeling and decision-making.\r\r\n</li><li>Work product includes prototypes, algorithms, data models, and tools that are then jointly productized with the various product development teams.\r\r\n</li><li>The researchers are required to stay on top of the latest developments in data science and machine learning, as well as the cyber security space.\r\r\n</li></ul>, <p><b>Education and Experience\r\r\n</b></p>, <ul><li>Minimum master of science in data science, computer science, statistics, or other cyber security related field, PHD preferred\r\r\n</li><li>At least 10 years experience as data scientist covering large scale data analytics, anomaly detection, and data mining (preferably in the cyber security domain)\r\r\n</li><li>Proficient in data science discipline, including statistics, clustering algorithms like t-SNE, machine learning, markov models, and belief networks\r\r\n</li><li>Ability to prototype in Python Notebooks, R, and/or Java (Spark MLLib)\r\r\n</li><li>Working knowledge of SQL, databases, and data manipulation / exploration\r\r\n</li><li>Basic knowledge of OS concepts and protocols like TCP/IP, SSL, DNS, HTTP, SMTP, NTP, etc.\r\r\n</li><li>Bonus points for experience and knowledge in natural language processing\r\r\n</li></ul>, <p><b>Preferred Skills:\r\r\n</b></p>, <ul><li>Experience with real-time data pipelines and online algorithms for the purpose of entity profiling and outlier detection.\r\r\n</li><li>Experience in human behavior related advanced analytics (AI) and machine learning\r\r\n</li><li>Knowledge of the existing state of the art research topics related to cyber security\r\r\n</li><li>Understanding of security data and event from operating systems, network devices, identity systems, etc.\r\r\n</li></ul>, <p><b>Soft Skills\r\r\n</b></p>, <ul><li>Excellent problem solving skills, flexibility and adaptability to changing priorities\r\r\n</li><li>Self-starter with an entrepreneur mindset\r\r\n</li><li>Strong written and verbal communication skills\r\r\n</li><li>Ability to work on individual projects as well as part of a team\r\r\n</li><li>Disciplined, organized and methodical in approach to tasks and activities</li></ul>]
## 207 [<ul>\r\r\n<li>Drive & participate at each stage - from understanding of business problem, data acquisition to deployment & reporting of results obtained through statistical and machine learning models</li>\r\r\n<li>Data Extraction, preparation, analysis and visualization</li>\r\r\n<li>Required to take full ownership of the model development, improve model accuracy, monitor model performance</li>\r\r\n<li>Generate actionable Business Insights & Communicate the same to key stakeholders</li>\r\r\n<li>Should be able to come up with tailor made solutions for specific business problems</li>\r\r\n<li>Collaborate with data architects and DB programers</li>\r\r\n</ul>, <ul>\r\r\n<li>Advanced degree in Computer Science, Applied Statistics, Mathematics, Engineering or Operations Research</li>\r\r\n<li>Industry experience in Data modeling, analysis, experimentation and visualization</li>\r\r\n<li>Good knowledge of Optimization and statistics</li>\r\r\n</ul>, <ul>\r\r\n<li>Strong knowledge of Databases (including writing SQL Scripts).</li>\r\r\n<li>Statistics & modeling using R , Python</li>\r\r\n<li>Strong Experience working with advanced machine learning algorithms using R or Python</li>\r\r\n</ul>, <ul>\r\r\n<li>Ability to work independently and research innovative solutions to challenging business problems</li>\r\r\n<li>Ability to collaborate with partners and drive analytic projects end to end</li>\r\r\n<li>Attention to detail and data accuracy</li>\r\r\n<li>Business reporting and superior communication skills</li>\r\r\n<li>Passion to drive improvement in the overall customer experience</li>\r\r\n<li>Be self-critical and have an accountable work approach</li>\r\r\n<li>Experience working across production deployed models and not just exploratory analysis or research</li>\r\r\n</ul>]
## 208 [<ul>\r\r\n<li>Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms</li>\r\r\n<li>Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions</li>\r\r\n<li>Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements</li></ul>, <ul><li> Bachelor's degree in Computer Science, Engineering, Mathematics or other business-related field</li></ul>, <ul><li> 3+ years of relevant consulting or industry experience</li></ul>, <ul><li> Experience working independently with minimal guidance</li></ul>, <ul><li> Strong problem solving and troubleshooting skills with experience exercising mature judgment</li></ul>, <ul><li> Proven experience effectively prioritizing workload to meet deadlines and work objectives</li></ul>, <ul><li> Ability to maintain the required Secret Security Clearance for this role</li></ul>, <ul><li> Individual will work on small teams to conceptualize, design, develop, test, and harden for deployment advanced analytics, e.g. algorithms in Python, R, VBA, Excel, and other tools as required by the client’s problem and environment</li></ul>, <ul><li> Will likely contribute to the design and development of visualizations and other decision products tailored to the advanced analytics and the client’s decision problem; will be required to both perform analytics and communicate analytic findings and outputs.<br/>\r\r\n</li></ul>, <ul><li> Prior professional services or federal consulting experience</li></ul>, <ul><li> Must have a strong orientation to quantitative, data-driven analysis including some of the following skills: Microsoft Excel – expert proficiency as demonstrated by advanced use of array and nested formulas and strong pivot table use; VBA is a plus but not required • Demonstrated understanding of statistics; • Programming languages: Python, R, VBA, SQL, C++ • Geographic Information Systems (GIS): ArcGIS, QGIS • Data Visualization: Tableau; Qlikview; D3, Spotfire, Oracle BI, Cognos BI</li></ul>, <ul><li> Experience working with quantitative analysis of structured, semi-structured, and unstructured data to assess contextual and spatial/temporal relationships in the data.<br/>\r\r\n</li></ul>, <p>As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.</p>, <p>\r\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]
## 209 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate Data Scientist to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 210 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate to join our KPMG Lighthouse - Center of<br/>\r\r\nExcellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster's degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; US Citizenship is required</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 211
## 212 [<ul><li>High school diploma and 20 years of general experience OR an associate’s degree and 18 years of general</li></ul>, <ul><li>14 years of directly related experience required</li></ul>, <ul><li>Related experience must be in one of the following: Java, Microsoft Certified Solutions Developer (MCSD), Elasticsearch ELK Stack (or other Big Data) ecosystem, Cloudera, Kafka, Linux (Redhat), SQL, JSON, C++, Python, R, C#, Ruby, Agile methodologies, Adobe Certified Expert (ACE)</li></ul>, <ul><li>Must possess a CompTIA Security+ with CE or higher or able to obtain certification within 30 days</li></ul>, <ul><li>Must be willing to travel 25%, including air travel</li></ul>, <ul><li>Must have an <b>active Secret security clearance</b></li></ul>, <ul><li>Experience developing processes and training and cloud-based system architectures and related tools</li></ul>, <ul><li>Experience with Cloudera, Kafka, Logstash, Redhat, SQL, JSON, C++, Python, R, C#, Ruby, Agile Methodologies,</li></ul>, <ul><li>Excellent interpersonal skills and ability to work both independently and in a fast-paced team environment</li></ul>, <ul><li>Experience in large development initiatives, developing high volume database applications, data warehousing, complex shell scripting,</li></ul>, <ul><li>Agile methodology and public or private cloud experience</li></ul>, <ul><li>Medical/dental/vision insurance</li></ul>, <ul><li>401(k) plan with company match</li></ul>, <ul><li>Paid holidays</li></ul>, <ul><li>Accrued Paid Time Off</li></ul>]
## 213 [<ul><li>Build custom code to manipulate existing data into consolidate exports for analysis, typically in JAVA or C++\r\r\n</li><li>Work with and analyze large amounts of data. Interact with functional experts, at all levels, to understand challenges and identify new opportunities.\r\r\n</li><li>Collaborate with users and team members to provide accurate estimates for assigned tasks.\r\r\n</li><li>Work individually and as a team member to ensure stability of company production systems.\r\r\n</li><li>Develop and devise advanced analytical analysis, methods and tools for design, quality, production and engineering departments.\r\r\n</li><li>Provide expert perspective on modeling approach, technique and tools in resolving the engineering problem.\r\r\n</li><li>Help identify, assess, and document potential data sources and flows, and analyze existing data warehouses to determine relevance trends to engineering and customer needs.\r\r\n</li><li>Research latest technique and tools to continuously enhance the discipline.\r\r\n</li></ul>, <ul><li><div>Bachelor’s degree in Data Science, Computer Science, Computer Engineering, Mathematics or related science and engineering field. Graduate Degree is preferred.\r\r\n</div></li></ul>, <ul><li>At least 5-10 year's relevant work experience in C++ & Java programming.\r\r\n</li><li>Minimum 5 years hands-on experience in mathematical/statistical model buildings.\r\r\n</li><li>Experience and/or broad familiarity with military terminology & concepts.\r\r\n</li><li>Working knowledge of machine learning topics\r\r\n</li><li>Knowledge of commercial/open source operational analysis tools including optimization and graphical visualization techniques.\r\r\n</li><li>Applicant selected will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.\r\r\n</li><li>Position requires an Active Top Secret/SCI with Polygraph.\r\r\n</li></ul>, <ul><li>Experience deploying, maintaining, and developing against big data engines, such as HADOOP and SPLUNK\r\r\n</li><li>Previous work applying machine learning to database analysis and data modeling\r\r\n</li><li>Experience developing data visualization tools using a web-based framework such as Cesium and Sencha.\r\r\n</li><li>Experience with design of experiments (DOE), regression analysis (linear and logistics), multivariate data analysis\r\r\n</li><li>In addition to Java and C++, experience in Matlab, Python, and Unix shell scripting is desired.\r\r\n</li></ul>]
## 214 [<p><b>We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, age, citizenship, color, religion, sex, marital status, national origin, disability status, gender identity or expression, protected veteran status, or any other characteristic protected by law.</b></p>, <p><b>\r\r\nDescription</b></p>, <p>\r\r\nAt BASF, we create chemistry through the power of connected minds. By balancing economic success with environmental protection and social responsibility, we are building a more sustainable future through chemistry. As the world’s leading chemical company, we help our customers in nearly every industry meet the current and future needs of society through science and innovation. We achieve this through our commitment to continuous improvement and operational excellence, which gives us the opportunity to set and deliver on ambitious, long-term goals.\r\r\n</p>]
## 215 [<p>Summary\r\r\n</p>, <p>From a staff position and under limited supervision, the Healthcare Information Data Scientist functions as a member of various multi-disciplanary teams producing innovative solutions driven by exploratory data analysis from complex and high-dimensional databases. The incumbent uses a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithims that lead to optimal value extraction from the data. Effectively communicates information in a way that is easy to understand for the intendeded audience, both technical and non-technical. Models appropriate behavior as exemplified in <b>MLH Mission, Vision and Values.\r\r\n</b></p>, <p>Education/Experience/Licensure<br/>\r\r\n</p>, <p><b>Education/Formal Training</b></p>, <p><b>Work Experience</b></p>, <p><b>Credential/Licensure</b></p>, <p><b>REQUIRED:</b></p>, <p>Bachelor’s degree in Data Science, Computer Science or related field.</p>, <p>Two (2) years of applicable computer programming or related experience.</p>, <p>N/A</p>, <p><b>PREFERRED:\r\r\n</b></p>, <p>N/A</p>, <p>N/A</p>, <p>N/A</p>, <p><b>SUBSTITUTIONS ALLOWED:</b></p>, <p>N/A</p>, <p>N/A</p>, <p>N/A</p>, <p>Knowledge/Skills/Abilities\r\r\n</p>, <ul><li>Demonstrated knowledge in the following: software business intelligence, data analysis data mining, compiler/decompiler, user interface, enterprise application integration, operation job scheduling and server and network monitoring.</li>\r\r\n<li>Knowledge of design techniques, tools, and principles involved in the production of precision data models, queries, and programs.</li>\r\r\n<li>Advance knowledge of SQL and relational database management systems.</li>\r\r\n<li>Demonstrated knowledge of programming, data modeling, simulation, as well as statistics and mathematics.</li>\r\r\n<li>Ability to parse data in common file formats such as csv and xml files, applying regular expressions and mathematical transforming data into information.</li>\r\r\n<li>Ability to communicate verbally and in writing information concepts and methods to non-technical users.</li>\r\r\n</ul>, <p>Key Job Responsibilities\r\r\n</p>, <ul><li>Analyzes problems and develops solutions involving computer software programs and applications by designing programs or queries to retrieve complex data from databases in one or more programming languages.</li>\r\r\n<li>Evaluates project plans and proposals to assess feasibility issues. Coordinates with stakeholders including executives, project sponsors, IT Teams, clinicians, and clinical and operational staff to determine analytic requirements for project requests.</li>\r\r\n<li>Applies theoretical expertise and innovation to create or apply new technology.</li>\r\r\n</ul>, <p>Physical Requirements\r\r\n</p>, <ul><li>Subject to call back at all times. Ability to travel to any area of the organization, both local and remote as needed. Must provide own transportation.</li>\r\r\n</ul>, <ul><li>Required to sit for extended periods.</li>\r\r\n<li>Ability to understand complex verbal and written communications, and respond verbally or in writing as appropriate. Typical mediums of communication include face-to-face dialog, telephone, memos, and electronic mail.</li>\r\r\n<li>Ability to interpret equipment status indicators to determine appropriate operating condition. Indicators may include visual and/or auditory techniques or cues.</li>\r\r\n<li>Ability to read and understand technical manuals and other documentation to determine correct action, safety precautions, and other conditions of proper hardware and software operation.</li>\r\r\n<li>Ability to work varying hours due to the accessibility of individuals or equipment involved in different projects, the need to minimize system downtime or user interruption, or to recover from hardware or software failures.</li>\r\r\n<li>Will occasionally experience stressful working conditions due to tight project schedules and hardware or software problems.</li>\r\r\n<li>Ability to occasionally lift and/or move equipment up to 25 pounds without assistance. Must occasionally lift and/or move equipment up to 40 pounds with assistance.</li>\r\r\n<li>Ability to occasionally crouch, kneel, bend and/or crawl to access, inspect, connect, position or perform other operations on equipment. Some locations, such as user or equipment locations, may present very close quarters.</li>\r\r\n<li>Ability to occasionally use small hand tools and be able to manipulate small equipment components such as screws, nuts, or other fastening devices as usually found on computer equipment.</li>\r\r\n<li>Subject to regular periods of repetitive hand motion in the operation of computer terminals and other equipment.</li></ul>]
## 216 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate to join our KPMG Lighthouse - Center of<br/>\r\r\nExcellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster's degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; US Citizenship is required</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 217 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate Data Scientist to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 218 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate to join our KPMG Lighthouse - Center of<br/>\r\r\nExcellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster's degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; US Citizenship is required</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 219 [<p>The Machine Learning Scientist - Imaging will work with a multi-disciplinary professional group to research, develop, and implement machine learning techniques on security imaging system platforms. Key duties of this position will include collection of imaging data, coding and adaptation of machine learning approaches, technical interchanges with internal and customer R&D personnel, and performance of funded research efforts in a laboratory environment. The candidate will need to effectively communicate with internal colleagues from a number of international Smiths Detection sites and various technical and non-technical representatives to accomplish short-term and long-term objectives. Support of off-site lab evaluations of technologies and products will require occasional overnight travel.</p>, <ul><li>Manage the development of machine learning techniques (CNN, Deep Learning, decision logic) for various imaging-based detection systems in software packages and programming languages such as Matlab, GPU code (e.g. Cuda), C/C++, Java</li>\r\r\n<li>Serve at Subject Matter Expert (SME) for technical knowledge of machine learning techniques and image processing programs or applications as directed, representing Smiths Detection and providing feedback to internal teams</li>\r\r\n<li>Provide engineering support of key testing activities, including support of laboratory and field testing activities</li>\r\r\n<li>Create R&D funding proposals, information packages, and presentations in support of external funded R&D efforts</li>\r\r\n<li>Interact with external technical personnel, industry groups, testing standards groups, selected customers, and internal management to provide feedback into the product development and design efforts</li>\r\r\n<li>Collect sample images, library data, and technical information to support algorithm development projects</li>\r\r\n<li>Lead U.S.-based testing and development of detection systems and software including executing test plans and experiments in a laboratory setting</li>\r\r\n<li>Must comply with and ensure department compliance with Company health, safety and environmental policies.</li>\r\r\n<li>Must comply with all applicable U.S. export and security regulations.</li>\r\r\n<li>Other duties may be assigned</li>\r\r\n</ul>, <p>To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p>, <p>\r\r\nPOSITION REQUIREMENTS:</p>, <p>\r\r\nEducation/Training: Advanced Degree or Equivalent Experience in an appropriate technical field (Engineering, Physics, Mathematics, Medical Imaging, or Computer Science)</p>, <p>\r\r\nExperience:</p>, <p>\r\r\nFive or more years experience in developing computer algorithms, mathematics, physics, or related discipline. Experience with security imaging or detection products desired. Experience in related field (e.g. medical imaging) will be considered. Experience in the fields of machine learning, image processing, neural networks preferred.</p>, <p>\r\r\nKnowledge/Skills:</p>, <p>\r\r\nExperience with Linux/Unix OS, Windows platforms<br/>\r\r\nProgramming Languages: Matlab, Mathematica, GPU coding (e.g. Cuda), C/C++, Java<br/>\r\r\nImage processing/algorithm expertise and experience<br/>\r\r\nProficiency in typical office software such as MSOffice and Project</p>, <p>\r\r\nSecurity: This position requires a U.S. Personal Security Clearance. Applicant must be a U.S. Citizen. This position also requires Sensitive Security Information (SS) access and vetting via the TSA. Applicant must successfully pass a federal background investigation.</p>, <p>\r\r\nPhysical/Mental Requirements:</p>, <ul>\r\r\n<li>Ability to solve complex practical problems</li>\r\r\n<li>Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form</li>\r\r\n<li>Ability to work effectively under pressure to meet deadlines</li>\r\r\n<li>Ability to represent the company in a range of venues, including technical conferences, national laboratories, and test venues</li>\r\r\n<li>Ability to compose and edit high-quality technical documentation, correspondence, and literature</li>\r\r\n<li>Ability to elicit and manage contributions from various technical colleagues at different sites and locations including overseas travel when necessary</li>\r\r\n<li>Ability to work independently with a minimal amount of supervision including strategic decision making to ensure success</li>\r\r\n</ul>, <p>At Smiths Detection we are dedicated to making the world a safer place.<br/>\r\r\n<br/>\r\r\nSmiths Detection, a division of Smiths Group, is a global authority on the application, management and manufacture of world class detection and screening technology.<br/>\r\r\n<br/>\r\r\nWe deliver solutions needed to protect society from the threat and illegal passage of explosives, prohibited weapons, contraband, toxic chemicals, and narcotics. Delivering an unrivalled range of detection technologies, we support customer from markets across air transportation, ports and borders, the armed forces, and critical infrastructure and emergency services.</p>, <p>\r\r\nSmiths Detection is an EEO/AA Employer/Vet/Disabled. Smiths Detection, Inc. participates in the Electronic Employment Verification Program.</p>]
## 220 [<ul><li>Developing and executing population impact modeling</li><li>Crafting an advanced analysis of internal consumer research</li><li>Applying statistical expertise to meet complex regulatory requirements for FDA submissions.</li><li>Leveraging consumer tracking and research studies for modeling</li><li>Supporting the development and evaluation of technical research protocols, statistical analysis plans and advanced analytic techniques</li><li>Performing exploratory statistical analysis of data for conference presentations</li></ul>, <ul><li>Advanced in degree in Statistics, Biostatistics, Quantitative Methods, Operations Research or a related field. PhD preferred.</li><li>Experience in demographic and/or behavioral science modeling, information management and research design.</li><li>Up to 5 years of relevant work experience</li><li>Expertise in statistical software for data analysis (SAS preferred).</li><li>Strong advanced analytical capabilities such as regression analysis, agent based modeling and data mining including CART/CHAID.</li><li>Ability to multi-task and manage priorities in a deadline-oriented department within a rapidly evolving regulatory environment.</li></ul>]
## 221 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate to join our KPMG Lighthouse - Center of<br/>\r\r\nExcellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster's degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; US Citizenship is required</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 222 [<ul><li>Build predictive models to meet business requirements</li><li>Conduct analyses to identify trends in data</li><li>Compare, validate and improve modeling solutions</li><li>Analyze third party data</li></ul>, <ul><li>Graduate degree in Quantitative field</li><li>5 or more years of experience building predictive models</li><li>Extensive experience programming in SAS</li><li>Keen understanding of technology</li><li>Experience with R and/or Python</li><li>Must have strong analytical skills</li><li>Excellent written and oral communication skills</li><li>Experience in digital marketing a plus</li><li>Knowledge of SQL and Hadoop a plus</li></ul>]
## 223 [<ul><li>\r\r\nDevelop highly scalable machine learning and computer vision models for processing large quantities of high-resolution satellite imagery and other remote sensing data</li><li>\r\r\nRapidly iterate algorithms to improve performance and generalization to new data</li><li>\r\r\nEngage in fundamental research in relevant areas of machine learning and computer vision, such as semi-supervised, unsupervised, transfer and active learning.</li><li>\r\r\nStay current on the latest ML/CV research by reviewing papers and implementing state-of-the-art concepts</li><li>\r\r\nWork cross-functionally with data ops and core engineers to establish data requirements and metrics for computer vision algorithms and time series models</li><li>\r\r\nImplement and test software utilities for internal computer vision research as well as deploying machine learning models as part of the product</li><li>\r\r\nCollaborate with end-user product owners to understand computer vision needs</li><li>\r\r\nSupport build deployment, management, and monitoring systems</li></ul>, <ul><li>\r\r\nAcademic degree (BS required, MS and PhD preferred) in computer science or other quantitative discipline</li><li>\r\r\nDemonstrated ability to create, invent, and innovate</li><li>\r\r\nSolid understanding of statistical machine learning as well as current deep learning techniques</li><li>\r\r\nAbility to work both independently and collaboratively in a fast-paced R&D environment</li><li>\r\r\nAbility to effectively communicate results and ideas via presentations and technical reports</li><li>\r\r\nSolid programming skills and strong algorithmic thinking</li></ul>, <ul><li>\r\r\nUnderstanding of statistical inference (e.g., Bayesian modeling, MCMC)</li><li>\r\r\nExperience working with remote sensing data such as EO, SAR, Hyperspectral, or Lidar</li><li>\r\r\nUnderstanding of fundamental concepts of signal/image processing: Fourier techniques, filtering, etc.</li><li>\r\r\nWorld-class foosball skills</li></ul>, <ul><li>Stock Options</li><li>Competitive Salaries</li><li>Paid time off</li><li>Medical, dental, and vision insurance\r\r\n</li><li>Life & disability coverage</li><li>401k</li><li>Flexible Spending Accounts</li><li>Apple equipment</li><li>Weekly catered lunches</li><li>Weekly happy hour in office</li><li>Stocked kitchen with healthy snacks, coffee, tea, etc.</li><li>MBTA commuter benefits</li></ul>]
## 224 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate Data Scientist to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 225 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate to join our KPMG Lighthouse - Center of<br/>\r\r\nExcellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster's degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; US Citizenship is required</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 226 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate to join our KPMG Lighthouse - Center of<br/>\r\r\nExcellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster's degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; US Citizenship is required</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 227 [<ul><li>High school diploma and 20 years of general experience OR an associate’s degree and 18 years of general</li></ul>, <ul><li>14 years of directly related experience required</li></ul>, <ul><li>Related experience must be in one of the following: Java, Microsoft Certified Solutions Developer (MCSD), Elasticsearch ELK Stack (or other Big Data) ecosystem, Cloudera, Kafka, Linux (Redhat), SQL, JSON, C++, Python, R, C#, Ruby, Agile methodologies, Adobe Certified Expert (ACE)</li></ul>, <ul><li>Must possess a CompTIA Security+ with CE or higher or able to obtain certification within 30 days</li></ul>, <ul><li>Must be willing to travel 25%, including air travel</li></ul>, <ul><li>Must have an <b>active Secret security clearance</b></li></ul>, <ul><li>Experience developing processes and training and cloud-based system architectures and related tools</li></ul>, <ul><li>Experience with Cloudera, Kafka, Logstash, Redhat, SQL, JSON, C++, Python, R, C#, Ruby, Agile Methodologies,</li></ul>, <ul><li>Excellent interpersonal skills and ability to work both independently and in a fast-paced team environment</li></ul>, <ul><li>Experience in large development initiatives, developing high volume database applications, data warehousing, complex shell scripting,</li></ul>, <ul><li>Agile methodology and public or private cloud experience</li></ul>, <ul><li>Medical/dental/vision insurance</li></ul>, <ul><li>401(k) plan with company match</li></ul>, <ul><li>Paid holidays</li></ul>, <ul><li>Accrued Paid Time Off</li></ul>]
## 228 [<ul><b>Role Summary:</b>\r\r\nWe are looking for a Sr. Staff Data Scientist to support our data science efforts in the Analytic and Application Engineering group in High Performance Computing (HPC), Machine Learning (ML), and software development. The candidates must initially assist in the development of infrastructure and processes, and have the ability to transform data formats, structure analysis of data, infer information/models, and create distributable models in support of analytic research and product development.<b>\r\r\nEssential Responsibilities:</b>\r\r\nIn the role of Sr Staff Data Scientist, you will:<li>\r\r\nCreate a library of company / customer data<br/>\r\r\n</li><li>Process, cleanse, and verify the integrity of data used for analysis (transform BN convention)<br/>\r\r\n</li><li>Develop data models and algorithms to apply to data sets<br/>\r\r\n</li><li>Mine / analyze data from BN databases to drive development and improvement of analytic products<br/>\r\r\n</li><li>Assess the effectiveness and accuracy of new data sources and data gathering techniques<br/>\r\r\n</li><li>Work with MDS and other sources to develop a data portal / repository<br/>\r\r\n</li><li>Enhance data collection procedures to include information that is relevant for building analytic systems<br/>\r\r\n</li><li>Do ad-hoc analysis and presenting results in a clear and concise manner<br/>\r\r\n</li><li>Create automated anomaly detection system and tracking effectiveness<br/>\r\r\n</li><li>Mentor and train other Data Scientists / Engineers<br/>\r\r\n<br/>\r\r\n<b>Qualifications/Requirements:</b><br/>\r\r\n</li><li>Bachelor’s Degree in Computer Science, Mathematics, Statistics, or related field from an accredited college or university<br/>\r\r\n</li><li>Minimum 5 years of experience in Data Science<br/>\r\r\n<br/>\r\r\n<b>Desired Characteristics:</b><br/>\r\r\n</li><li>Master’s Degree and/or PhD with related Thesis from an accredited college or university<br/>\r\r\n</li><li>Understanding of machine learning techniques and algorithms such as k-NN, Naïve Bayes, SVM,<br/>\r\r\nDecision Forest, Boosting, etc.<br/>\r\r\n</li><li>Experience with common data science toolkits such as R, Weka, NumPy, Matlab, etc.<br/>\r\r\n</li><li>Experience with data visualization tools such as D3.js, GGplot, etc.<br/>\r\r\n</li><li>Proficiency in using query languages such as SQL<br/>\r\r\n</li><li>Applied statistics skills such as distributions, statistical testing, regression, etc.<br/>\r\r\n</li><li>Scripting and programming skills: C, C++, etc.<br/>\r\r\n</li><li>Solid oral presentation and writing skills<br/>\r\r\n</li><li>Ability to continue complicated jobs to completion in a timely manner<br/>\r\r\n</li><li>Ability to identify and drive process improvements<br/>\r\r\n</li><li>Demonstrated skills in problem solving<br/>\r\r\n</li><li>Ability to work in a collaborative team environment<br/>\r\r\n</li><li>Knowledge of cyber vulnerabilities, exploits, and threats<br/>\r\r\n</li><li>Software architecture and development / programming experience<br/>\r\r\n<br/>\r\r\n<b>About Us:</b><br/>\r\r\n<p>Baker Hughes, a GE company (NYSE:BHGE) is the world’s first and only fullstream provider of integrated oilfield products, services and digital solutions. Drawing on a storied heritage of invention, BHGE harnesses the passion and experience of its people to enhance productivity across the oil and gas value chain.<br/>\r\r\n</p><p>\r\r\nBHGE helps its customers acquire, transport and refine hydrocarbons more efficiently, productively and safely, with a smaller environmental footprint and at lower cost per barrel. Backed by the digital industrial strength of GE, the company deploys minds, machines and the cloud to break down silos and reduce waste and risk, applying breakthroughs from other industries to advance its own.<br/>\r\r\n</p><p>\r\r\nWith operations in over 120 countries, the company’s global scale, local know-how and commitment to service infuse over a century of experience with the spirit of a startup – inventing smarter ways to bring energy to the world.<br/>\r\r\n</p><p>\r\r\nFollow Baker Hughes, a GE company on Twitter @BHGECo, or visit us at BHGE.com.<br/>\r\r\nGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.<br/>\r\r\n<br/>\r\r\n<b>Locations: </b>United States; Nevada; Minden<br/>\r\r\n</p><p>\r\r\nGE will only employ those who are legally authorized to work in the United States for this opening.</p></li></ul>, <p>Baker Hughes, a GE company (NYSE:BHGE) is the world’s first and only fullstream provider of integrated oilfield products, services and digital solutions. Drawing on a storied heritage of invention, BHGE harnesses the passion and experience of its people to enhance productivity across the oil and gas value chain.<br/>\r\r\n</p>, <p>\r\r\nBHGE helps its customers acquire, transport and refine hydrocarbons more efficiently, productively and safely, with a smaller environmental footprint and at lower cost per barrel. Backed by the digital industrial strength of GE, the company deploys minds, machines and the cloud to break down silos and reduce waste and risk, applying breakthroughs from other industries to advance its own.<br/>\r\r\n</p>, <p>\r\r\nWith operations in over 120 countries, the company’s global scale, local know-how and commitment to service infuse over a century of experience with the spirit of a startup – inventing smarter ways to bring energy to the world.<br/>\r\r\n</p>, <p>\r\r\nFollow Baker Hughes, a GE company on Twitter @BHGECo, or visit us at BHGE.com.<br/>\r\r\nGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.<br/>\r\r\n<br/>\r\r\n<b>Locations: </b>United States; Nevada; Minden<br/>\r\r\n</p>, <p>\r\r\nGE will only employ those who are legally authorized to work in the United States for this opening.</p>]
## 229 [<p><b>All Locations:</b> El Segundo, CA (California)</p>, <p>A trusted partner. A national resource. A leader in national security space. We are THE Aerospace Corporation. A team that takes pride in our readiness to solve some of the most complex technical challenges in existence. With challenges spanning government to commercial, you’ll have the unique opportunity to work on projects that are literally evolving our nation's space and launch capabilities. We all share a common passion and aspiration – to serve a mission much bigger than ourselves. When you join our team, you’ll be part of a rare collection of thought leaders and game-changing innovators. Are you ready to launch your career?</p>, <p><b>Responsibilities</b>\r\r\n</p>, <p><b>SUMMARY OF RESPONSIBILITIES</b></p>, <p>The Aerospace Corporation is seeking a Data Science and Machine Learning Undergraduate Intern for an internship opportunity implementing time series clustering, anomaly detection, and machine learning algorithms. Projects will be guided by DSAID staff located at the El Segundo, CA campus. This is approximately a 10-week summer internship from May/June to August 2019.</p>, <p><b>KEY FUNCTIONS</b></p>, <ul><li>Apply machine learning and/or statistical techniques to time series classification and telemetry anomaly detection problems</li>\r\r\n<li>Conduct research and implementation of multi-category object recognition/classification software</li>\r\r\n<li>Conduct text analytics and Natural Language Processing</li>\r\r\n<li>Contribute to an existing C++/Python code library.</li>\r\r\n<li>Participates with an interdisciplinary team in ongoing research or technical programs with academic collaboration partners.</li>\r\r\n<li>Applies standard techniques and procedures to carry out a series of prescribed scientific and/or engineering tasks.</li>\r\r\n<li>Training and mentorship will be provided.</li>\r\r\n</ul>, <p><b>Qualifications</b>\r\r\n</p>, <p><b>Performance standards to be successful in this internship position include:</b></p>, <ul><li>Strong written and oral communication skills</li>\r\r\n<li>Must work well in a team environment</li>\r\r\n<li>Must possess strong organizational, time management and project management skills</li>\r\r\n<li>Demonstrated flexibility and ability to adapt to changing organizational need</li>\r\r\n<li>Effective interpersonal skills to coordinate efforts and work with other internal and external organizations</li>\r\r\n<li>Demonstrates behavior that is consistent with the company’s values of Dedication to Mission Success, Technical Excellence, Commitment to Our People, Integrity and Objectivity.</li><br/>\r\r\n</ul>, <p><b>REQUIRED QUALIFICATIONS</b></p>, <ul><li>Currently enrolled at an accredited college/university degree program pursuing a Bachelor's degree in computer science, computer engineering, data science, mathematics or related field</li>\r\r\n<li>Experience with Microsoft Office applications (Word, PowerPoint and Excel)</li>\r\r\n<li>Minimum GPA 3.0</li>\r\r\n<li>Must be able to obtain a security clearance</li>\r\r\n<li>US Citizenship required</li>\r\r\n<li>Programming experience (e.g. C++, Python)</li>\r\r\n<li>Interest in data science and machine learning</li><br/>\r\r\n</ul>, <p><b>PREFERRED QUALIFICATIONS</b></p>, <ul><li>Interest in machine and deep learning</li>\r\r\n<li>Interest in time series data processing and analysis</li>\r\r\n<li>Interest in Natural Language Processing</li>\r\r\n<li>Strong programming skills utilizing Scikit-learn, Keras, TensorFlow and/or OpenCV libraries</li>\r\r\n<li>Participation in extracurricular activities related to data science (e.g. Kaggle competitions)</li>\r\r\n<li>Strong analytical and creative problem-solving skills</li>\r\r\n<li>Demonstrated ability to work independently and in collaborative environments</li><br/>\r\r\n</ul>, <p>Temporary housing assistance is not available.</p>, <p>The Aerospace Corporation functions as the nation’s independent testing, assessment, and research center for national security space systems, specializing in advanced military space systems. Aerospace offers summer internship positions at our headquarters in El Segundo, California, and our campuses in Chantilly, Virginia, Colorado and New Mexico to give students the opportunity to work in the scientific, technical, or administrative areas of the company.</p>, <p><b>Transcript Requirement</b>\r\r\n</p>, <p>Transcripts are required for this position.</p>, <p><b>Additional Requisition Details</b></p>, <p><b>Clearance Requirement: </b>Secret</p>, <p><b>Access: </b>None</p>, <p><b>Polygraph: </b>None</p>, <p><b>Employment Type: </b>Intern</p>, <p><b>Work Schedule: </b>Full Time</p>, <p><b>Company Statement</b></p>, <p>The Aerospace Corporation has provided independent technical and scientific research, development, and advisory services to national security space programs since 1960. We operate a federally funded research and development center (FFRDC) for the United States Air Force and the National Reconnaissance Office, and support all national security space programs. We also apply more than 50 years of experience with space systems to provide critical solutions to technologically complex systems in such areas as communications, shipping, law enforcement, and cyber, among others.</p>, <p>From our inception, our highly skilled technical staff has focused on ensuring the success of every mission and developing the most effective and economic space-related hardware and software in the world. Our greatest asset is the technical expertise of our people. Our state-of-the-art laboratory facilities are staffed by some of the leading scientists in the world.</p>, <p><i>All Aerospace employees working in organizations with technical responsibilities are required to apply for and maintain at least a Secret clearance. U.S. citizenship is required for those positions.</i></p>, <p><b>Equal Opportunity Commitment</b></p>, <p>The Aerospace Corporation is an Equal Opportunity/Affirmative Action employer. We believe that a diverse workforce creates an environment in which unique ideas are developed and differing perspectives are valued, producing superior customer solutions. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If you’re an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at 310.336.5432 or by email at ieo.mailbox@aero.org. You can also review The Equal Employment Opportunity is the Law poster and the supplement, as well as the Pay Transparency Policy Statement.</p>, <p><br/>\r\r\n<b>Nearest Major Market: </b>Los Angeles\r\r\n<br/>\r\r\n<b>Job Segment: </b>Database, Engineer, Temporary, Secret Clearance, Security Clearance, Technology, Engineering, Contract, Government</p>]
## 230 [<p>Description</p>, <p>The Cyber Analytics and Decision Systems group is composed of creative, motivated self-starters who share a common passion for helping solve critical National cybersecurity problems. The group is made up of a computer scientist, software and hardware engineers, mathematicians, machine learning researchers and practitioners, system analyst and security architects that firmly believe we can make a difference in the security of the nation.</p>, <p>\r\r\nWe are seeking a Data Scientist whom will be working in a fast-paced, customer-focused and challenging environment. The candidate must possess strong problem-solving aptitude, the ability and willingness to constantly learn and update his/her skills, and be able to establish themselves as a critical player within a team.</p>, <p>\r\r\nThe ideal candidate will have extensive experience in data analysis and developing data-driven solutions. The candidate possesses knowledge of applied machine learning and data processing technologies and experience using these skills in a real-world environment. The candidate will utilize his/her skills to work independently and apply best practice knowledge in a team environment. Under the direction and in support of customer Staff, the Data Scientist will assist in the design and implementation of advanced analytics.</p>, <ul><li>Must be a U.S. citizen with the ability to obtain and maintain an active DoD secret clearance</li><li>Ph.D. plus 5 years minimum experience, or MS plus 8 years minimum experience</li><li>Proficiency in Python, Scala/Java, and C++.</li><li>Familiarity with python data science libraries: numpy, pandas, scikit-learn</li><li>Familiarity with Big Data technologies, including Apache Spark, Kafka, Accumulo, etc.</li><li>Experience with government or Department of Defense information security procedures and policies.</li></ul>, <ul><li>Active Secret Clearance</li><li>Deep knowledge in networking, theory development, and internet protocols.</li><li>Project technology leadership.</li><li>Motivated self-starter; able to work independently, or with a group.</li><li>Strong communications skills- capable to present findings to internal and external clients.</li></ul>, <ul><li>Location: Lexington, MA</li><li>Travel: Non-Anticipated</li><li>Employment Status: Full-Time Employee with full benefits (Medical, Dental, Vision, STD, LTD, PTO, Retirement)</li><li>Other: All candidates must also successfully pass a Commercial Background Investigation (CBI).</li></ul>, <p>\r\r\nThis job posting sets forth the authorities and responsibilities of this position, which may be changed from time to time as shall be determined.</p>, <p>\r\r\nOdyssey Systems Consulting Group, LTD. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, national origin, disability, sexual orientation, gender identity or expression, marital status, genetic information, protected veteran status, or other factors protected by federal, state, and/or local law. This policy applies to all terms and conditions of employment, including recruiting; hiring; placement; promotion; termination; layoff; recall; transfer; leaves of absence; compensation; and training.<br/>\r\r\n#LI-POST</p>, <p>Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</p>, <p>The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.</p>]
## 231 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate Data Scientist to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 232 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate to join our KPMG Lighthouse - Center of<br/>\r\r\nExcellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster's degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; US Citizenship is required</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 233 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Director to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nLead workshops, innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities and artificial intelligence solutions utilizing processes and best practices to plan, lead, and execute delivery of artificial intelligence engagements across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nLead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; Manage complex workstreams, expectations, budgets, deliverables, and multiple responsibilities using structured approaches for operational excellence and communicating results to executive level audiences</li><li>\r\r\nWork with clients to discover data sources, and create data requests; Lead the ETL process to ingest structured data and annotation processes to enrich unstructured data; Leverage a variety of data sources (social media, news, internal/external documents, images, video, voice, emails, financial data and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs and Semantic Search</li><li>\r\r\nPlan and manage engagement objectives and key deliverables using analytics processes to mitigate risks in data, modeling, validation and delivery while working with team members to capture assumptions, risks, and develop approaches to mitigate issues</li><li>\r\r\nRefactor, deploy, and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution utilizing APIs, platforms, containers, multi-threading and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of ten years of experience leading teams of at least ten data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster's degree from an accredited college/university in Computer Science, Engineering, or related fields; PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to work with the business to understand business goals to create an artificial intelligence solution and an accompanying business case that meets the business objectives and business constraints; With expertise in delivering projects using leading processes including strong knowledge of data discovery, cleaning, model selection, validation and deployment</li><li>\r\r\nUnderstanding of data preparation, machine learning, deep learning, natural language processing, and development practices (testing, code design, complexity, and code optimization); Ability to discuss mathematical formulations, alternatives, and impact on modeling approach</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly; Work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 234 [<p><b>Company:</b> Arvato Digital Services LLC - Arvato FS USA</p>, <p><b>\r\r\nRequisition ID:</b> 23243</p>, <p><b>\r\r\nOverall Job Purpose:</b></p>, <p><b>\r\r\nThis role can be located in Reno, NV or Atlanta, GA.</b> Reporting to the Director Analytics & Consulting Services and working closely with the Global Client Lead, Project Manager and Sales Manager, the (Senior) Data Scientist develops and runs analytical models deploying various Machine Learning algorithms and Advanced Analytics tools. This also includes pre-sales support (consultative selling) in close collaboration with our sales team.</p>, <p>\r\r\nThe (Senior) Data Scientist acts as the key point of contact for all data driven questions of our clients in order to deliver Financial Advanced Analytics projects along the Order-2-Cash process. Key areas:</p>, <ul><li>Create a data-driven culture</li><li>Ensure the client data is relevant, connected, accurate and consumable</li><li>Utilize machine Learning & Advanced Analytics capabilities to predict what will/could happen, and identify risks</li><li>Improve Operational Excellence of our clients: Continuously improve the speed, efficiency and accuracy of capabilities, processes, and solutions</li></ul>, <p>\r\r\nThe (Senior) Data Scientist is part of the Arvato Analytics & Consulting Services team that supports through Data Intelligence Services, Advanced Applications & Analytics services, Reporting Services and Program Management Services in an onshore/offshore mix with our partner.</p>, <p><b>\r\r\nJob Duties</b></p>, <ul><li>\r\r\nProvide data-driven business insights and analytics support along the customer life cycle/order-2-cash process</li><li>\r\r\nWork closely with the Analytics & Consulting Services team to spearhead and implement business analytics models and to deliver end-to-end client requests that are of high quality and in a timely fashion</li><li>\r\r\nDevelop innovative and effective approaches to solve client's analytics problems and communicate results and methodologies</li><li>\r\r\nApply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems</li><li>\r\r\nIdentify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo-location information or social media</li><li>\r\r\nPerform extensive data pulls and create datasets for business users to enable clients to build self-serving reports and dashboards</li><li>\r\r\nDevelop and maintain reports and dashboards as per client requests and meet client expectations</li><li>\r\r\nProactively mine and analyze data in order to find meaningful patterns and derive process improvements in order to discuss results with the Business Consultant and/or client</li><li>\r\r\nDevelop and maintain structured process documents, methodology documents and data dictionaries</li><li>\r\r\nProvide necessary documentation to enable business users to build self-serving reports and dashboards wherever necessary</li><li>\r\r\nAcclimatize to new technologies and situations with ease, completing multiple assignments simultaneously while maintaining high standards</li></ul>, <p><b>\r\r\nKey Result Areas\r\r\n</b></p>, <ul><li>Lead data discovery processes with client stakeholders to identify the business requirements and the expected outcome to be able to build impactful analytical models</li><li>\r\r\nAcquire data from primary or secondary data sources and maintain databases/data systems</li><li>\r\r\nIdentify, analyze, and interpret trends or patterns in complex data sets</li><li>\r\r\nCreate dashboards for visualizing the data</li><li>\r\r\nProvide and support with meaningful presentations about data insights and related business impact</li><li>\r\r\nTransfer data insights into business related statements and respective impact</li><li>\r\r\nFormulate and document based on use case specifications, business rules and requirements</li><li>\r\r\nEffective planning skills to successfully manage multiple priorities and assignments</li></ul>, <p><b>\r\r\nPerson Spec and Competencies </b>(Please read in conjunction with the Key Result Areas)</p>, <p><b>\r\r\nEssential Qualifications, Training and Experience:\r\r\n</b></p>, <ul><li>Bachelor’s/Master’s/PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degrees</li><li>\r\r\nStrong footprint (5+ five) in analytical modeling and developing statistical models as well as applying machine learning algorithms</li><li>\r\r\nHighly proficient and experience in working on data modeling projects using e.g. SAS, R, Python, Azure ML, KNIME, SQL</li><li>\r\r\nExperience working in projects following Agile software development life-cycle methodologies</li></ul>, <p><b>\r\r\nDesirable Qualifications, Training and Experience:</b></p>, <ul><li>\r\r\nStrong experience in SQL, R, Python, SAS, Tableau, Power BI or equivalent tools</li><li>\r\r\nBackground in Statistics/Operations research</li></ul>, <p><b>\r\r\nPersonal Attributes required:</b></p>, <ul><li>\r\r\nHighly customer focused with excellent analytical and problem-solving skills</li><li>\r\r\nHighly motivated self-starter who is innovative and quick to learn</li></ul>, <p>\r\r\nExcellent communication and interpersonal skills</p>, <p>\r\r\n“Arvato Financial Solutions is an Equal Opportunities Employer, Embracing Diversity in the workplace”</p>, <p><b>\r\r\nDisclaimer</b></p>, <p>\r\r\nThe above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.</p>, <p><b>\r\r\nAbout our company:</b><br/>\r\r\nArvato - the spirit of solutions!<br/>\r\r\n<br/>\r\r\nWe at Arvato provide a comprehensive range of services and solutions to our business partners in the consumer electronics, high-tech, telecommunication, networking and industrial sectors. With more than five decades of experience and our global footprint we create value for our customers and ensure that they are well equipped for the challenges of their markets.<br/>\r\r\n<br/>\r\r\nArvato is a part of Arvato AG/ Bertelsmann, an internationally networked outsourcing provider. More than 65,000 employees design and implement solutions for all kinds of business processes across integrated service chains, for business customers from around the world. Its portfolio includes all services related to the creation and distribution of printed materials and digital storage media, as well as data management, customer care, CRM services, supply-chain management, digital distribution, financial services, professional and custom IT services, and the direct-to-customer distribution of educational media. Arvato is a wholly-owned subsidiary of Bertelsmann SE & Co. KGaA.</p>]
## 235 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate to join our KPMG Lighthouse - Center of<br/>\r\r\nExcellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster's degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; US Citizenship is required</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 236 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate Data Scientist to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 237 [<ul>\r\r\n<li>Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms</li>\r\r\n<li>Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions</li>\r\r\n<li>Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements</li></ul>, <ul>\r\r\n<li>Bachelor's degree in Computer Science, Engineering, Mathematics or other business-related field</li>\r\r\n<li>3+ years of relevant consulting or industry experience</li>\r\r\n<li>Experience working independently with minimal guidance</li>\r\r\n<li>Strong problem solving and troubleshooting skills with experience exercising mature judgment</li>\r\r\n<li>Proven experience effectively prioritizing workload to meet deadlines and work objectives</li>\r\r\n<li>Ability to maintain the required TS/SCI CI Poly Security Clearance for this role. Location: St. Louis or DC</li>\r\r\n<li>Experience with: SQL; Python; R; VBA, Hadoop</li>\r\r\n<li>Advanced skills in these areas:\r\r\n</li></ul>, <p>As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.</p>, <p>\r\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]
## 238 [<p><b>All Locations:</b> El Segundo, CA (California)</p>, <p>A trusted partner. A national resource. A leader in national security space. We are THE Aerospace Corporation. A team that takes pride in our readiness to solve some of the most complex technical challenges in existence. With challenges spanning government to commercial, you’ll have the unique opportunity to work on projects that are literally evolving our nation's space and launch capabilities. We all share a common passion and aspiration – to serve a mission much bigger than ourselves. When you join our team, you’ll be part of a rare collection of thought leaders and game-changing innovators. Are you ready to launch your career?</p>, <p><b>Responsibilities</b>\r\r\n</p>, <p><b>SUMMARY OF RESPONSIBILITIES</b></p>, <p>The Aerospace Corporation is seeking a Data Science and Machine Learning Undergraduate Intern for an internship opportunity developing machine learning algorithms. This position will be located in El Segundo, CA. Approximately 10-week summer internship from May/June to August 2019.<br/>\r\r\n</p>, <p>The qualified candidate will become part of the Data Science and Artificial Intelligence Department. The primary application is research and implementation of machine learning algorithms for multi-category object recognition/classification software, as well as software infrastructure to support dataset management and automated testing. The resulting software will be added to an existing C++/Python code library.</p>, <p><b>KEY FUNCTIONS</b></p>, <ul><li>Conduct research and implementation of multi-category object recognition/classification software</li>\r\r\n<li>Contribute to an existing C++/Python code library.</li>\r\r\n<li>Participates with an interdisciplinary team in ongoing research or technical programs with academic collaboration partners.</li>\r\r\n<li>Applies standard techniques and procedures to carry out a series of prescribed scientific and/or engineering tasks.</li>\r\r\n<li>Training and mentorship will be provided.</li>\r\r\n</ul>, <p><b>Qualifications</b>\r\r\n</p>, <p><b>Performance standards to be successful in this internship position include:</b></p>, <ul><li>Strong written and oral communication skills</li>\r\r\n<li>Must work well in a team environment</li>\r\r\n<li>Must possess strong organizational, time management and project management skills</li>\r\r\n<li>Demonstrated flexibility and ability to adapt to changing organizational need</li>\r\r\n<li>Effective interpersonal skills to coordinate efforts and work with other internal and external organizations</li>\r\r\n<li>Demonstrates behavior that is consistent with the company’s values of Dedication to Mission Success, Technical Excellence, Commitment to Our People, Integrity and Objectivity.</li><br/>\r\r\n</ul>, <p><b>REQUIRED QUALIFICATIONS</b></p>, <ul><li>Currently enrolled at an accredited college/university degree program pursuing a Bachelor's degree in computer science, computer engineering, data science, mathematics or related field</li>\r\r\n<li>Experience with Microsoft Office applications (Word, PowerPoint and Excel)</li>\r\r\n<li>Minimum GPA 3.0</li>\r\r\n<li>Must be able to obtain a security clearance</li>\r\r\n<li>US Citizenship required</li>\r\r\n<li>Programming experience (e.g. C++, Python)</li>\r\r\n<li>Experience with object-oriented programming</li>\r\r\n<li>Ability to effectively communicate (written and verbal) and work in a team environment</li>\r\r\n<li>Desire to learn the vast and expanding field of data science and machine learning</li><br/>\r\r\n</ul>, <p><b>PREFERRED QUALIFICATIONS</b></p>, <ul><li>GPA 3.5 or higher</li>\r\r\n<li>Active security clearance</li>\r\r\n<li>Interest in machine and deep learning</li>\r\r\n<li>Strong programming skills utilizing Scikit-learn, Keras, TensorFlow and/or OpenCV libraries</li>\r\r\n<li>Participation in extracurricular activities related to data science (e.g. Kaggle competitions)</li>\r\r\n<li>Strong analytical and creative problem-solving skills</li>\r\r\n<li>Demonstrated ability to work independently and in collaborative environments</li><br/>\r\r\n</ul>, <p>Temporary housing assistance is not available.</p>, <p>The Aerospace Corporation functions as the nation’s independent testing, assessment, and research center for national security space systems, specializing in advanced military space systems. Aerospace offers summer internship positions at our headquarters in El Segundo, California, and our campuses in Chantilly, Virginia, Colorado and New Mexico to give students the opportunity to work in the scientific, technical, or administrative areas of the company.</p>, <p><b>Transcript Requirement</b>\r\r\n</p>, <p>Transcripts are required for this position.</p>, <p><b>Additional Requisition Details</b></p>, <p><b>Clearance Requirement: </b>Secret</p>, <p><b>Access: </b>None</p>, <p><b>Polygraph: </b>None</p>, <p><b>Employment Type: </b>Intern</p>, <p><b>Work Schedule: </b>Full Time</p>, <p><b>Company Statement</b></p>, <p>The Aerospace Corporation has provided independent technical and scientific research, development, and advisory services to national security space programs since 1960. We operate a federally funded research and development center (FFRDC) for the United States Air Force and the National Reconnaissance Office, and support all national security space programs. We also apply more than 50 years of experience with space systems to provide critical solutions to technologically complex systems in such areas as communications, shipping, law enforcement, and cyber, among others.</p>, <p>From our inception, our highly skilled technical staff has focused on ensuring the success of every mission and developing the most effective and economic space-related hardware and software in the world. Our greatest asset is the technical expertise of our people. Our state-of-the-art laboratory facilities are staffed by some of the leading scientists in the world.</p>, <p><i>All Aerospace employees working in organizations with technical responsibilities are required to apply for and maintain at least a Secret clearance. U.S. citizenship is required for those positions.</i></p>, <p><b>Equal Opportunity Commitment</b></p>, <p>The Aerospace Corporation is an Equal Opportunity/Affirmative Action employer. We believe that a diverse workforce creates an environment in which unique ideas are developed and differing perspectives are valued, producing superior customer solutions. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If you’re an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at 310.336.5432 or by email at ieo.mailbox@aero.org. You can also review The Equal Employment Opportunity is the Law poster and the supplement, as well as the Pay Transparency Policy Statement.</p>, <p><br/>\r\r\n<b>Nearest Major Market: </b>Los Angeles\r\r\n<br/>\r\r\n<b>Job Segment: </b>Database, Engineer, Temporary, Security Clearance, Secret Clearance, Technology, Engineering, Contract, Government</p>]
## 239 [<ul><li>Develop advanced quantitative modules using a variety of programs/software to support predictive assessments</li><li>Provide expertise for analytic, programmatic, strategic, and operational analysis.</li><li>Perform technical risk analysis and reliability assessments.</li><li>Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, social-science modeling and statistical analysis, parametric and non-parametric statistical models and techniques.</li><li>Provide recommendations for plans, programs, strategies, policies and budgets</li><li>Design algorithms that require a number of different models/methods to be used in an ensemble</li></ul>, <ul><li>Bachelor's degree in Computer Science, Engineering, Statistics, Math and or equivalent experience</li><li>1-2+ years’ of data extraction/manipulation using scripts specific to C, C++, Perl, Python, VBA, PL/SQL, XML, JSON</li><li>Experience in data modeling, analysis, design, development and implementation of complex enterprise data solutions</li><li>1-2+ years’ of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, Qlikview, Excel and Access<br/>\r\r\n</li></ul>, <ul><li>Conditional Random Fields</li><li>Gaussian Process</li><li>Gradient Boosted Trees</li><li>Elasticsearch</li><li>Hidden Markov Models</li><li>Hierarchical Clustering</li><li>Information Retrieval Algorithms</li><li>K-Means</li><li>K Nearest Neighbors</li><li>Kalman Filter</li><li>Latent Dirichlet Allocation</li><li>Latent Semantic Indexing</li><li>Linear Regression</li><li>Logistic Regression</li><li>Markov Process</li><li>Maximum Entropy Markov Models</li><li>Mixture Models</li><li>Monte Carlo Simulation</li><li>Multinomial Logistic Regression</li><li>Natural Language Processing</li><li>Neural Networks</li><li>Random Forests</li><li>Random Walk</li><li>Restricted Boltzmann Machine</li><li>Smith-Waterman Alignment</li><li>SVD, A-SVD, SVD++, HOSVD</li><li>SVM, one class-SVM</li><li>Spectral Clustering</li><li>Vector Space Mode</li></ul>, <ul><li>Experience working for the Department of Defense and/or U.S. Marine Corp</li><li>Experience conducting Modeling and Simulation Analysis, DoD Science and Technology (S&T) Analysis, Program Analysis and Evaluation, C4/IT and Cyber Analysis, Manpower Analysis, Training and Education Analysis, DoD Logistics, Maintenance, and Supply Analysis, Naval Amphibious Shipping Analysis, Strategic Plans Analysis, Strategic Investment Analysis, Cost and Economic Modeling and Analysis, Operations Research Analysis, Readiness Analysis, Force Preservation Analysis</li></ul>, <p>As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.</p>, <p>\r\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]
## 240 [<ul>\r\r\n<li>Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms</li>\r\r\n<li>Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions</li>\r\r\n<li>Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements</li></ul>, <ul><li> Bachelor's degree in Computer Science, Engineering, Mathematics or other business-related field</li></ul>, <ul><li> 3+ years of relevant consulting or industry experience</li></ul>, <ul><li> Experience working independently with minimal guidance</li></ul>, <ul><li> Strong problem solving and troubleshooting skills with experience exercising mature judgment</li></ul>, <ul><li> Proven experience effectively prioritizing workload to meet deadlines and work objectives</li></ul>, <ul><li> Ability to maintain the required Secret Security Clearance for this role</li></ul>, <ul><li> Individual will work on small teams to conceptualize, design, develop, test, and harden for deployment advanced analytics, e.g. algorithms in Python, R, VBA, Excel, and other tools as required by the client’s problem and environment</li></ul>, <ul><li> Will likely contribute to the design and development of visualizations and other decision products tailored to the advanced analytics and the client’s decision problem; will be required to both perform analytics and communicate analytic findings and outputs.<br/>\r\r\n</li></ul>, <ul><li> Prior professional services or federal consulting experience</li></ul>, <ul><li> Must have a strong orientation to quantitative, data-driven analysis including some of the following skills: Microsoft Excel – expert proficiency as demonstrated by advanced use of array and nested formulas and strong pivot table use; VBA is a plus but not required • Demonstrated understanding of statistics; • Programming languages: Python, R, VBA, SQL, C++ • Geographic Information Systems (GIS): ArcGIS, QGIS • Data Visualization: Tableau; Qlikview; D3, Spotfire, Oracle BI, Cognos BI</li></ul>, <ul><li> Experience working with quantitative analysis of structured, semi-structured, and unstructured data to assess contextual and spatial/temporal relationships in the data.<br/>\r\r\n</li></ul>, <p>As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.</p>, <p>\r\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]
## 241 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Director to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nLead workshops, innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities and artificial intelligence solutions utilizing processes and best practices to plan, lead, and execute delivery of artificial intelligence engagements across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nLead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; Manage complex workstreams, expectations, budgets, deliverables, and multiple responsibilities using structured approaches for operational excellence and communicating results to executive level audiences</li><li>\r\r\nWork with clients to discover data sources, and create data requests; Lead the ETL process to ingest structured data and annotation processes to enrich unstructured data; Leverage a variety of data sources (social media, news, internal/external documents, images, video, voice, emails, financial data and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs and Semantic Search</li><li>\r\r\nPlan and manage engagement objectives and key deliverables using analytics processes to mitigate risks in data, modeling, validation and delivery while working with team members to capture assumptions, risks, and develop approaches to mitigate issues</li><li>\r\r\nRefactor, deploy, and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution utilizing APIs, platforms, containers, multi-threading and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of ten years of experience leading teams of at least ten data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster's degree from an accredited college/university in Computer Science, Engineering, or related fields; PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to work with the business to understand business goals to create an artificial intelligence solution and an accompanying business case that meets the business objectives and business constraints; With expertise in delivering projects using leading processes including strong knowledge of data discovery, cleaning, model selection, validation and deployment</li><li>\r\r\nUnderstanding of data preparation, machine learning, deep learning, natural language processing, and development practices (testing, code design, complexity, and code optimization); Ability to discuss mathematical formulations, alternatives, and impact on modeling approach</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly; Work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 242 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate to join our KPMG Lighthouse - Center of<br/>\r\r\nExcellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster's degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; US Citizenship is required</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 243 [<p>The Center for Computational Astrophysics (CCA), led by David Spergel, aims to become a focal point for computational astrophysics around the world and plans to develop the computational methods and tools needed for calculations, simulations and analyses in astrophysics. In steady state, CCA will be comprised of up to 50–60 researchers.\r\r\n</p>, <p>The CCA is looking for highly motivated individuals with a strong background in one of the following fields: computer science, machine learning and statistics with an interest in astrophysics cosmology and/or large datasets.\r\r\n</p>, <p>Associate Research Scientists in ML/Stat will develop novel computational and inferential approaches for analysis of large datasets or generation of simulations including but not limited to the field of astrophysics. Associate Research Scientists are expected to develop their own research programs or work in collaboration with group leaders at the center. Reporting to David Spergel, these positions are based at the Simons Foundation in New York City.\r\r\n</p>, <p>CCA is advertising for joint positions with neighboring universities as well as full-time positions at the Flatiron Institute. Generally, these positions are three-year positions and may be renewed for another three years. In the sixth year, Associate Research Scientists may be reviewed with the possibility of promotion to a non-term-limited position as a Research Scientist.\r\r\n</p>, <p><b>ESSENTIAL </b><b>FUNCTIONS/RESPONSIBILITIES\r\r\n</b></p>, <ul><li>Conduct research in Machine Learning, Statistics, Data-mining in collaboration with other domain scientists in Flatiron Institute.\r\r\n</li><li>Develop novel methods, algorithms, techniques for the analysis of large data sets or generation of simulations.\r\r\n</li><li>Publish research in refereed scientific and technical journals\r\r\n</li><li>Provide publicly available software for use by the scientific community\r\r\n</li><li>Support the public use of available software\r\r\n</li><li>Assist in the organization of computational astrophysics workshops and conferences\r\r\n</li><li>Assist in the organization of weekly group seminars\r\r\n</li><li>Present papers at scientific conferences\r\r\n</li><li>Supervise research conducted by Flatiron research fellows and graduate and undergraduate students from neighboring institutions\r\r\n</li><li>Mentor summer students and assist in the organization of summer programs\r\r\n</li><li>Perform any other duties or tasks as assigned or required\r\r\n</li></ul>, <p><b>MINIMUM QUALIFICATIONS\r\r\n</b></p>, <p><b>Education\r\r\n</b></p>, <ul><li>Ph.D. in a related field\r\r\n</li></ul>, <p><b>Experience\r\r\n</b></p>, <ul><li>4 - 10 years of graduate and postgraduate research experience in computer science, machine learning and statistics\r\r\n</li><li>A record of excellence in scientific publication\r\r\n</li></ul>, <p><b>Required Application Materials\r\r\n</b></p>, <ul><li>CV\r\r\n</li><li>Research statement outlining both past research accomplishments and a vision for scientific research at the Flatiron Institute\r\r\n</li><li>Three (3) letters of recommendation submitted confidentially by the letter writers to astro@simonsfoundation.org\r\r\n</li></ul>, <p><b>Deadline\r\r\n</b></p>, <ul><li>All applications must be submitted no later than November 15, 2017.\r\r\n</li></ul>, <p><b>THE SIMONS FOUNDATION'S DIVERSITY COMMITMENT\r\r\n</b></p>, <p>Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation provides equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law.</p>]
## 244 [<p><b>Job Code</b></p>, <p><b>Duties & Responsibilities</b></p>, <ul><li>\r\r\nWorks directly with faculty on statistical and data science projects.</li><li>\r\r\nServes the data needs of faculty and other researchers, identifying and applying computational and statistical tools, and advising and training researchers in the use of these tools.</li><li>\r\r\nResolves short-term research-related questions and problems, or takes on faculty research projects that may involve advanced and complex statistical analysis (e.g., Bayesian analysis, multilevel generalized linear models, sparse matrix quantile regressions, mixed models, vector auto regressions), statistical programming, or large or complex data sets.</li><li>\r\r\nResearches and implements cutting-edge techniques in both statistics and programming as needed for more sophisticated quantitative researchers.</li><li>\r\r\nDevelops and programs algorithms when not available in standard statistical software packages.</li><li>\r\r\nReviews complex researcher-developed statistical programs and suggests alternative procedures or statistical packages when appropriate to optimize processing.</li><li>\r\r\nTroubleshoots problems with researchers’ statistical programming code or unusual patterns of results.</li><li>\r\r\nStays abreast of new developments in statistics, econometrics, and computer programming; and statistical methods and procedures used in top econometric journals; stays current with new versions of statistical software packages (e.g., Stata, R, MATLAB, SAS)</li><li>\r\r\nWorks independently with sound judgment, directly accountable for accuracy of methods and results.</li><li>\r\r\nOften works on multiple projects simultaneously, balancing short and long-term projects to meet deadlines and faculty needs.</li><li>\r\r\nEnsures adherence to policies related to the use of data from external sources.</li><li>\r\r\nCollaborates with other team members through knowledge sharing and promotion of best practices (e.g., code review, technology showcase).</li><li>\r\r\nProvides one-on-one and classroom training for a variety of statistical software programming packages, contributing statistical and research software information to the RCS website, exploring and testing statistical software, conducting benchmark tests on new software, servers and workstations, and assessing the skill level of potential research associates for specific faculty research projects.</li><li>\r\r\nLearns new technologies and tools as needed.</li><li>\r\r\nServes as a statistical resource for other members of the RCS team.</li></ul>, <p><b>Basic Qualifications</b></p>, <ul><li>Advanced degree in quantitative field required; PhD or ABD with commensurate experience.</li><li>\r\r\n5+ years of statistical programming experience in research based setting</li><li>\r\r\nBroad training and good habits in data management and analysis</li><li>\r\r\nApplied use of multiple statistical programming packages such as R, Stata, SAS, SPSS</li><li>\r\r\nStrong skills in Python programming</li><li>\r\r\nApplied use of other programming languages, such as C++ and Java</li><li>\r\r\nExperience with visualization tools such as Tableau, ggplot2, and D3.js</li><li>\r\r\nExperience with machine learning packages</li><li>\r\r\nFamiliarity with version control systems such as Git/GitHub</li><li>\r\r\nFamiliarity with cluster and cloud computing</li><li>\r\r\nSQL/NoSQL database experience</li><li>\r\r\nExperience in Linux-based parallel processing environment</li></ul>, <p><b>Additional Qualifications</b></p>, <ul><li>Experience in handling large datasets preferred</li><li>\r\r\nAbility and openness to learning new tools</li><li>\r\r\nBusiness-related research experience preferred</li><li>\r\r\nDemonstrated ability and desire to develop and maintain expertise in emerging research methods and technologies</li><li>\r\r\nStrong written and oral communication skills; ability to communicate complex technical topics to lay audiences as well as knowledgeable individuals</li><li>\r\r\nExcellent interpersonal skills</li><li>\r\r\nStrong customer service orientation, initiative, and the ability to anticipate and plan for customer needs</li><li>\r\r\nAbility to find, plan, and communicate creative solutions to challenges</li><li>\r\r\nAbility to work independently and collaboratively on a team</li><li>\r\r\nDemonstrated ability to work with highly confidential/sensitive information</li><li>\r\r\nCapacity to handle multiple complex tasks simultaneously</li><li>\r\r\nSound judgment, professionalism, diplomatic skills, comfort in interacting with prominent individuals, and grace under pressure are essential</li><li>\r\r\nMeticulous attention to detail and demonstrated ability to produce consistently high quality work product</li><li>\r\r\nFlexibility and capacity to multi-task and meet competing deadlines</li><li>\r\r\nAbility to work collaboratively in a fast-paced and highly-matrixed environment</li></ul>, <p><b>Additional Information</b></p>, <p><b>Job Function</b></p>, <p><b>Sub-Unit</b></p>, <p><b>Location</b></p>, <p><b>Department</b></p>, <p><b>Time Status</b></p>, <p><b>Union</b></p>, <p>Salary Grade</p>, <p><b>Pre-Employment Screening</b></p>, <p><b>EEO Statement</b></p>]
## 245 [<p>Position Summary\r\r\n</p>, <p>Adobe’s mission is to change the world through digital experiences. As the global leader in digital media and marketing solutions, Adobe helps customers create, publish and monetize great content anywhere, on any platform or device. Adobe Sensei is the AI platform that allows us to super charge our customers’ productivity. It uses artificial intelligence (AI) and machine learning to help you discover opportunities that are hidden, make tedious processes fast, and show you which data insights matter — and when they matter.\r\r\n</p>, <p>The intelligent agents team is building a new platform to help power responsive and interactive experiences for the suite of Adobe product lines such as Adobe’s Creative Cloud, Marketing Cloud and Document Cloud. The objective is to make this a world class, leading edge, differentiating product in terms of effectiveness and experience. We are looking for students with a passion for learning and building cool new experiences powered by data.\r\r\n</p>, <p>Responsibilities\r\r\n</p>, <ul><li>Design and implement components of the agent platform\r\r\n</li><li>Work with other engineering and research teams to explore new features for the platform\r\r\n</li><li>Develop prototypes to help with future exploration\r\r\n</li></ul>, <p>What you need to succeed\r\r\n</p>, <p>Minimum qualifications\r\r\n</p>, <ul><li>Pursuing BS/MS/PhD in Computer Science\r\r\n</li><li>Experience in Python/Javascript\r\r\n</li><li>Experience with Sklearn/Tensorflow/PyTorch\r\r\n</li><li>Experience with machine learning and/or deep learning methods\r\r\n</li></ul>, <p>Preferred qualifications\r\r\n</p>, <ul><li>Experience in Web services and REST APIs\r\r\n</li><li>Experience in engineering SaaS based software development\r\r\n</li><li>Experience with big data processing and Hadoop.\r\r\n</li></ul>, <p>At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists . You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.\r\r\n</p>, <p>If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.\r\r\n</p>, <p>Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age , sexual orientation, gender identity, disability or veteran status.</p>]
## 246 [<ul><li>Sales and Marketing analytical support</li><li>Develop and maintain recurring (weekly, monthly, quarterly, annual) reporting of the following vital business information:\r\r\n</li></ul>, <ul><li>Establish and maintain dashboards that visualize and effectively communicate Key Performance Indicators (KPIs)</li><li>Work with sales and marketing teams to bring intelligence to the operation to empower decision making</li><li>Profile and segment client and prospecting database</li><li>Ability to synthesize third party data on an ongoing or ad hoc basis sourced through a variety of vendors</li><li>Manage on-going business performance and competitive tracking, report on emerging trends and provide recommendations for future strategies and additional analyses</li><li>Share best practices with the team and support the continual improvement of the organization’s web analytics, commercial/business research, and distribution channels reporting</li></ul>, <ul><li>Bachelor’s Degree in quantitative, analytical, or a similar field</li><li>Extensive experience working with Analytics platforms – qualitative and quantitative</li><li>Expert in Microsoft Office software, Alteryx and Tableau</li><li>Experience with BI Reporting Platforms</li><li>Basic knowledge of statistical analysis tools</li><li>Strong with process management including the development of processes</li><li>Banking experience preferred</li></ul>, <ul><li>Strong interpersonal skills and team player</li><li>Demonstrated analytical skills and ability to handle large amounts of data and convert them in actionable insights</li><li>Strong communication skills with the ability to translate data into actionable insight using storytelling and powerful visualization</li><li>Able to critically review numbers, trends and data and come to new conclusions based on findings</li><li>Good project management skills with the ability to follow-project through from start to finish, manage processes and expectations, and deliver according to key deadlines</li><li>Demonstrates keen attention to detail</li><li>Business acumen</li><li>Resourceful</li></ul>]
## 247 [<ul><li>Design, build and deliver statistical models and related actionable data-focused results to support product and customer requirements and initiatives.</li>\r\r\n<li>Work closely with engineering, product and sales teams to understand business and technical requirements, translate these into important discovery directives and follow through to optimize and support the enhancement and growth of Stratacache products.</li>\r\r\n<li>Establish and make effective use of internal and external datasets to back up and support key strategic, product and customer decision-making efforts.</li>\r\r\n<li>Serve as the data science expert on cross-functional teams for large strategic initiatives and education on accessing and utilizing qualified and focused data for decision making.</li>\r\r\n<li>Analyze, propose, design and successfully deliver data experiments for engineering, product and sales teams to ensure statistical rigor and effectiveness.</li>\r\r\n<li>Provide expertise and professionalism in handling sensitive, privacy-protected data, including sources, structures, organization and optimization.</li>\r\r\n<li>Communicate complex ideas about our product through visual aids like charts and dashboards.</li>\r\r\n<li>Keep up-to-date with emerging data science and statistical technologies, methods and practices.</li>\r\r\n<li>Create and/or use existing data models for predictions regarding user behavior.</li>\r\r\n<li>Communicate ideas, processes and results to all levels of internal and external clients and teams.</li>\r\r\n</ul>, <ul><li>Bachelor's degree required in Computer Science, Mathematics, Statistics, Quantitative Analysis, or other technical field related to software development.</li>\r\r\n<li>Minimum 3 years of related experience working with data science and statistical modeling.</li>\r\r\n<li>Experience in the retail industry from a data perspective is required.</li>\r\r\n<li>Experience with SQL and at least one functional or statistical programming language is required.</li>\r\r\n<li>Minimum of 3 years of related experience working with R and Python is required.</li>\r\r\n<li>Experience working with Postgres, Timescale DB and/or other related database technologies is required.</li>\r\r\n<li>Experience with complex query writing is required.</li>\r\r\n<li>Experience with result-set performance tuning and related data administration is required.</li>\r\r\n<li>Experience with big data technologies is required.</li>\r\r\n<li>Experience and understanding of various statistical modeling tools and platforms - including R, SAS and SPSS - is required.</li>\r\r\n<li>Experience in ecommerce, wifi, app messaging, social and other datasets is beneficial.</li>\r\r\n<li>Experience in machine learning and artificial intelligence methods and practice is beneficial.</li>\r\r\n<li>Understanding and experience with database technologies is beneficial including Oracle, SQLServer, etc..</li>\r\r\n<li><i>Experience with agile development methodologies.</i></li>\r\r\n<li>Understanding and experience with BI technologies is beneficial: Tableau, Microstrategy, Microsoft, OBI, etc..</li>\r\r\n<li>Experience with kafka, Go or Redis is beneficial.</li>\r\r\n<li>Understanding of data modeling techniques and star schemas is beneficial.</li>\r\r\n<li>Experience with Hadoop and MapReduce is beneficial.</li>\r\r\n<li>Experience with ftp, file transfers, data exchange methodologies.</li>\r\r\n<li>A solid understanding of methodology, data and systems from a broad range of research and analytics providers, including emerging tools and methods.</li>\r\r\n<li>Ability to distill complex statistical concepts and methodology, and articulate insights to cross-functional teams and clients with varying levels of knowledge in this space.</li>\r\r\n<li>Ability to articulate and tie data to business strategy.</li>\r\r\n<li>Microsoft Excel and PowerPoint skills</li>\r\r\n<li>Self-motivated, self-starter with a team-centric focus while working in a fluid environment.</li>\r\r\n<li>Exceptional communication skills: verbal, written and presentation.</li>\r\r\n<li>Experience in the following areas: strategic analytics, marketing analytics, digital analytics, data analytics, statistics, data science, big data, normalization, modeling, quant research, analytics consulting.</li>\r\r\n<li>Desire and interest to uncover and discover insights using disparate data sources.</li>\r\r\n<li>Desire and interest in being the “Go To” person for data science.</li>\r\r\n<li>Dynamic personality and passion for data, analytics, visualizations and storytelling is beneficial for this role.</li>\r\r\n<li>Keen sense of user interface design, style, aesthetics and effective visual presentation.</li>\r\r\n<li>Ability to work effectively in fast-paced, results-oriented work environment.</li>\r\r\n<li>Ability to handle and adjust to change in requirements and direction.</li>\r\r\n<li>Positive attitude, attention to detail and great problem solving skills are important.</li>\r\r\n</ul>]
## 248 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Manager to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nLead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities and artificial intelligence solutions; utilize processes and best practices to plan, lead and execute delivery of artificial intelligence engagements across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nLead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, deliverables, risks, and multiple responsibilities using structured approaches for operational excellence; Communicate results to executive level audiences</li><li>\r\r\nWork with clients to discover data sources, and create data requests; Lead the ETL process to ingest structured data and annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nUtilize a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nPlan and manage engagement objectives and key deliverables using analytics processes to mitigate risks in data, modeling, validation and delivery</li><li>\r\r\nRefactor, deploy, and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution utilizing APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields; PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to work with the business to understand business goals and create an artificial intelligence solution and an accompanying business case that meets the business objectives and business constraints. Expertise in delivering analytics projects using leading processes including expert knowledge of data discovery, cleaning, model selection, validation and deployment</li><li>\r\r\nUnderstanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss mathematical formulations, alternatives, and impact on modeling approach; Knowledge of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms such as Google Cloud, Azure, and AWS; Ability to pick up new languages and technologies quickly; Ability to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 249 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Director to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nLead workshops, innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities and artificial intelligence solutions utilizing processes and best practices to plan, lead, and execute delivery of artificial intelligence engagements across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nLead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; Manage complex workstreams, expectations, budgets, deliverables, and multiple responsibilities using structured approaches for operational excellence and communicating results to executive level audiences</li><li>\r\r\nWork with clients to discover data sources, and create data requests; Lead the ETL process to ingest structured data and annotation processes to enrich unstructured data; Leverage a variety of data sources (social media, news, internal/external documents, images, video, voice, emails, financial data and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs and Semantic Search</li><li>\r\r\nPlan and manage engagement objectives and key deliverables using analytics processes to mitigate risks in data, modeling, validation and delivery while working with team members to capture assumptions, risks, and develop approaches to mitigate issues</li><li>\r\r\nRefactor, deploy, and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution utilizing APIs, platforms, containers, multi-threading and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of ten years of experience leading teams of at least ten data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster's degree from an accredited college/university in Computer Science, Engineering, or related fields; PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to work with the business to understand business goals to create an artificial intelligence solution and an accompanying business case that meets the business objectives and business constraints; With expertise in delivering projects using leading processes including strong knowledge of data discovery, cleaning, model selection, validation and deployment</li><li>\r\r\nUnderstanding of data preparation, machine learning, deep learning, natural language processing, and development practices (testing, code design, complexity, and code optimization); Ability to discuss mathematical formulations, alternatives, and impact on modeling approach</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly; Work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 250 [<ul><li><div>Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms</div></li>\r\r\n<li><div>Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions</div></li>\r\r\n<li><div>Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements</div></li></ul>, <p>As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.</p>, <p>\r\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]
## 251 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Manager to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nLead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities and artificial intelligence solutions; utilize processes and best practices to plan, lead and execute delivery of artificial intelligence engagements across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nLead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, deliverables, risks, and multiple responsibilities using structured approaches for operational excellence; Communicate results to executive level audiences</li><li>\r\r\nWork with clients to discover data sources, and create data requests; Lead the ETL process to ingest structured data and annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nUtilize a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nPlan and manage engagement objectives and key deliverables using analytics processes to mitigate risks in data, modeling, validation and delivery</li><li>\r\r\nRefactor, deploy, and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution utilizing APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields; PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to work with the business to understand business goals and create an artificial intelligence solution and an accompanying business case that meets the business objectives and business constraints. Expertise in delivering analytics projects using leading processes including expert knowledge of data discovery, cleaning, model selection, validation and deployment</li><li>\r\r\nUnderstanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss mathematical formulations, alternatives, and impact on modeling approach; Knowledge of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms such as Google Cloud, Azure, and AWS; Ability to pick up new languages and technologies quickly; Ability to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 252 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Director to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nLead workshops, innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities and artificial intelligence solutions utilizing processes and best practices to plan, lead, and execute delivery of artificial intelligence engagements across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nLead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; Manage complex workstreams, expectations, budgets, deliverables, and multiple responsibilities using structured approaches for operational excellence and communicating results to executive level audiences</li><li>\r\r\nWork with clients to discover data sources, and create data requests; Lead the ETL process to ingest structured data and annotation processes to enrich unstructured data; Leverage a variety of data sources (social media, news, internal/external documents, images, video, voice, emails, financial data and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs and Semantic Search</li><li>\r\r\nPlan and manage engagement objectives and key deliverables using analytics processes to mitigate risks in data, modeling, validation and delivery while working with team members to capture assumptions, risks, and develop approaches to mitigate issues</li><li>\r\r\nRefactor, deploy, and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution utilizing APIs, platforms, containers, multi-threading and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of ten years of experience leading teams of at least ten data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster's degree from an accredited college/university in Computer Science, Engineering, or related fields; PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to work with the business to understand business goals to create an artificial intelligence solution and an accompanying business case that meets the business objectives and business constraints; With expertise in delivering projects using leading processes including strong knowledge of data discovery, cleaning, model selection, validation and deployment</li><li>\r\r\nUnderstanding of data preparation, machine learning, deep learning, natural language processing, and development practices (testing, code design, complexity, and code optimization); Ability to discuss mathematical formulations, alternatives, and impact on modeling approach</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly; Work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 253 [<p>This position is part of a team providing engineering support for drug substance manufacturing at Amgen’s global manufacturing network through application of process monitoring, programming, analytics, and engineering principles.</p>, <p>\r\r\nThis role will contribute to the success of Drug Substance Technology and Engineering organization by making fundamental improvements in how information is managed, business processes are operated, physical processes are controlled, and work flow is directed to efficiently achieve the integration and orchestration of all activities required for product development.</p>, <p>\r\r\nAs a Data Scientist, you will evaluate and improve Amgen’s products, collaborating as part of a multi-disciplinary team of engineers on a wide range of problems. The position will bring programmatic rigor, including application of machine learning algorithms, to the challenges of drug substance development, tech transfer, and manufacturing. The Scientist will lead implementation of analytical solutions that advance global operations</p>, <p>\r\r\nTravel will be mostly domestic (minimal international) 10% of the time.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nBuild and prototype tools (dashboards, apps) to provide analytic insights. Develop comprehensive understanding of Amgen data structures and metrics, advocating for changes where needed for process improvements</li><li>\r\r\nImplement machine learning applications through integration of multiple data sources</li><li>\r\r\nLeverage large datasets to conduct end-to end analytics projects that include data gathering and requirements specifications, processing, analytics, ongoing deliverables, and presentations</li><li>\r\r\nInteract cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for process design improvements for Amgen products</li><li>\r\r\nMake business recommendations (cost-benefit, forecasting, scenario analysis) with effective presentation of findings to multiple level of stakeholders through visualizations</li><li>\r\r\nPartner to implement analysis plans and optimization methods to improve the quality of Amgen’s processes</li><li>\r\r\nContribute to establishing a robust data science strategy by providing recommendations related to data engineering, analytic platforms, analysis plans, and other relevant areas of data science</li></ul>, <p><b>Basic Qualifications\r\r\n</b></p>, <p>Doctorate degree</p>, <p>\r\r\nOR</p>, <p>\r\r\nMaster’s degree and 3 years of Data Science or Scientific experience</p>, <p>\r\r\nOR</p>, <p>\r\r\nBachelor’s degree and 5 years of Data Science or Scientific experience</p>, <p>\r\r\nOR</p>, <p>\r\r\nAssociate’s degree and 10 years of Data Science or Scientific experience</p>, <p>\r\r\nOR</p>, <p>\r\r\nHigh School diploma or GED and 12 years of Data Science or Scientific experience</p>, <p><b>\r\r\nPreferred Qualifications\r\r\n</b></p>, <ul><li>MS degree in an engineering or scientific field with demonstrated capability in application of data science.</li><li>\r\r\n3+ years of work experience in biotechnology role (e.g. as a statistician, statistical programmer, data analyst, data scientist, computational biologist, bioinformatician)</li><li>\r\r\nExperience with programming (e.g. R, MATLAB, Python) and database languages (e.g. SQL), as well as data visualization tools (e.g. Tableau, Spotfire)</li><li>\r\r\nExperience with statistical data analysis such as linear/non-linear multivariate models and hypothesis testing</li><li>\r\r\nApplied experience with implementing machine learning solutions</li><li>\r\r\nExperience articulating business questions and using mathematical and programmatic solutions to arrive at an answer</li><li>\r\r\nDemonstrated skills in selecting the right tools given a data analysis question</li><li>\r\r\nDemonstrated effective written and verbal communication skills</li><li>\r\r\nDemonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques</li></ul>, <p>Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.</p>, <p>\r\r\nAmgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people’s lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world’s leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.</p>]
## 254 [<p><b>All Locations:</b> El Segundo, CA (California)</p>, <p>A trusted partner. A national resource. A leader in national security space. We are THE Aerospace Corporation. A team that takes pride in our readiness to solve some of the most complex technical challenges in existence. With challenges spanning government to commercial, you’ll have the unique opportunity to work on projects that are literally evolving our nation's space and launch capabilities. We all share a common passion and aspiration – to serve a mission much bigger than ourselves. When you join our team, you’ll be part of a rare collection of thought leaders and game-changing innovators. Are you ready to launch your career?</p>, <p><b>Responsibilities</b>\r\r\n</p>, <p>The Aerospace Corporation is seeking a Data Science and Machine Learning Graduate Intern for an internship opportunity developing machine learning algorithms. This position will be located in El Segundo, CA. Approximately 10-week summer internship from May/June to August 2019.<br/>\r\r\n</p>, <p>The qualified candidate will become part of the Data Science and Artificial Intelligence Department. The primary application is research and implementation of machine learning algorithms for multi-category object recognition/classification software, as well as software infrastructure to support dataset management and automated testing. The resulting software will be added to an existing C++/Python code library.</p>, <p><b>KEY FUNCTIONS</b></p>, <ul><li>Conduct research and implementation of multi-category object recognition/classification software</li>\r\r\n<li>Contribute to an existing C++/Python code library.</li>\r\r\n<li>Participates with an interdisciplinary team in ongoing research or technical programs with academic collaboration partners.</li>\r\r\n<li>Applies standard techniques and procedures to carry out a series of prescribed scientific and/or engineering tasks.</li>\r\r\n<li>Training and mentorship will be provided.</li>\r\r\n</ul>, <p><b>Qualifications</b>\r\r\n</p>, <p><b>Performance standards to be successful in this internship position include:</b></p>, <ul><li>Strong written and oral communication skills</li>\r\r\n<li>Must work well in a team environment</li>\r\r\n<li>Must possess strong organizational, time management and project management skills</li>\r\r\n<li>Demonstrated flexibility and ability to adapt to changing organizational need</li>\r\r\n<li>Effective interpersonal skills to coordinate efforts and work with other internal and external organizations</li>\r\r\n<li>Demonstrates behavior that is consistent with the company’s values of Dedication to Mission Success, Technical Excellence, Commitment to Our People, Integrity and Objectivity</li><br/>\r\r\n</ul>, <p><b>REQUIRED QUALIFICATIONS</b></p>, <ul><li>Currently enrolled at an accredited college/university degree program pursuing a Master or PhD degree in computer science, computer engineering, data science, mathematics or related field</li>\r\r\n<li>Experience with Microsoft Office applications (Word, PowerPoint and Excel)</li>\r\r\n<li>Minimum GPA 3.0</li>\r\r\n<li>Must be able to obtain a security clearance</li>\r\r\n<li>US Citizenship required</li>\r\r\n<li>Programming experience (e.g. C++, Python)</li>\r\r\n<li>Experience with object-oriented programming</li>\r\r\n<li>Experience in image/signal processing, statistics, and linear algebra</li>\r\r\n<li>Ability to effectively communicate (written and verbal) and work in a team environment</li>\r\r\n<li>Desire to learn the vast and expanding field of data science and machine learning</li><br/>\r\r\n</ul>, <p><b>PREFERRED QUALIFICATIONS</b></p>, <ul><li>GPA 3.5 or higher</li>\r\r\n<li>Active security clearance</li>\r\r\n<li>Interest in machine and deep learning</li>\r\r\n<li>Strong programming skills utilizing Scikit-learn, Keras, TensorFlow and/or OpenCV libraries</li>\r\r\n<li>Participation in extracurricular activities related to data science (e.g. Kaggle competitions)</li>\r\r\n<li>Strong analytical and creative problem-solving skills</li>\r\r\n<li>Demonstrated ability to work independently and in collaborative environments</li><br/>\r\r\n</ul>, <p>Temporary housing assistance is not available.</p>, <p>The Aerospace Corporation functions as the nation’s independent testing, assessment, and research center for national security space systems, specializing in advanced military space systems. Aerospace offers summer internship positions at our headquarters in El Segundo, California, and our campuses in Chantilly, Virginia, Colorado and New Mexico to give students the opportunity to work in the scientific, technical, or administrative areas of the company.</p>, <p><b>Transcript Requirement</b>\r\r\n</p>, <p>Transcripts are required for this position.</p>, <p><b>Additional Requisition Details</b></p>, <p><b>Clearance Requirement: </b>Secret</p>, <p><b>Access: </b>None</p>, <p><b>Polygraph: </b>None</p>, <p><b>Employment Type: </b>Intern</p>, <p><b>Work Schedule: </b>Full Time</p>, <p><b>Company Statement</b></p>, <p>The Aerospace Corporation has provided independent technical and scientific research, development, and advisory services to national security space programs since 1960. We operate a federally funded research and development center (FFRDC) for the United States Air Force and the National Reconnaissance Office, and support all national security space programs. We also apply more than 50 years of experience with space systems to provide critical solutions to technologically complex systems in such areas as communications, shipping, law enforcement, and cyber, among others.</p>, <p>From our inception, our highly skilled technical staff has focused on ensuring the success of every mission and developing the most effective and economic space-related hardware and software in the world. Our greatest asset is the technical expertise of our people. Our state-of-the-art laboratory facilities are staffed by some of the leading scientists in the world.</p>, <p><i>All Aerospace employees working in organizations with technical responsibilities are required to apply for and maintain at least a Secret clearance. U.S. citizenship is required for those positions.</i></p>, <p><b>Equal Opportunity Commitment</b></p>, <p>The Aerospace Corporation is an Equal Opportunity/Affirmative Action employer. We believe that a diverse workforce creates an environment in which unique ideas are developed and differing perspectives are valued, producing superior customer solutions. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If you’re an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at 310.336.5432 or by email at ieo.mailbox@aero.org. You can also review The Equal Employment Opportunity is the Law poster and the supplement, as well as the Pay Transparency Policy Statement.</p>, <p><br/>\r\r\n<b>Nearest Major Market: </b>Los Angeles\r\r\n<br/>\r\r\n<b>Job Segment: </b>Database, Engineer, Temporary, Security Clearance, Secret Clearance, Technology, Engineering, Contract, Government</p>]
## 255
## 256 [<ul><li>\r\r\nNurture a machine learning community by producing and presenting technical content, whether in the form of blog posts, whitepapers, trainings, videos, or otherwise</li><li>\r\r\nEnable leading machine learning partners to tell the optimization story, and collaborate with them at live events, conferences, and in online forums</li><li>\r\r\nEarn speaking roles at conferences, meetups, and other live events to build momentum for optimization and its technical potential</li><li>\r\r\nEngage machine learning and artificial intelligence oriented communities early and often to build relationships, familiarity, and support for optimization as a critical part of AI/ML</li></ul>, <ul><li>\r\r\nA quick study, who builds on 2-5 years of technical machine learning experience to translate complex subjects into concise explanations</li><li>\r\r\nA student of AI/ML who has a technical degree and a proficiency in computer science, machine learning, and the technology stack that enables it</li><li>\r\r\nAs comfortable speaking in front of a room of a hundred as penning a blog that nails a critical point</li><li>\r\r\nDriven to start and build something</li><li>\r\r\nFrequently caught reading and engaging too much in AI/ML banter</li></ul>]
## 257 [<p><b>Company:</b> Penguin Random House LLC</p>, <p><b>\r\r\nRequisition ID:</b> 25571</p>, <p>\r\r\nThis is a great opportunity to join an agile and dynamic technology team, in the largest English language publisher. Help us discover text and data relationships to drive our business forward while working with new tools and processes. This position will assist in creating experiments and prototyping implementations to pushing boundaries in designing new architectures.</p>, <p>\r\r\nThis role will be the subject matter expertise in <b>Artificial Intelligence, Machine Learning and related technologies</b>, with the ability to demonstrate understanding of the business applications and opportunities in the market. In addition, present complex ML/AI concepts to both technical and non-technical audiences.</p>, <p><b>\r\r\nResponsibilities</b></p>, <ul><li>\r\r\nDomain knowledge of machine learning and text/data analysis/natural language processing techniques for classification, detection, key attribute extraction, segmentation, or activity detection.</li><li>\r\r\nPractical experience in statistics.</li><li>\r\r\nFamiliar with how to retrieve data from databases and other systems and tools using queries, exporting capabilities, and other effective methods.</li><li>\r\r\nFully responsible for deliverables-including definition, completion, and technical quality, as well as assuring consistency across the responsibility span.</li><li>\r\r\nObject-oriented programming and principles, in Python, C++, or Java.</li><li>\r\r\nSome hands-on experience with Big Data systems/tools, e.g. Hadoop, Cloudera, Horton Works, IBM Insights, MongoDB, Spark, Storm, HDFS, HBase, Accumulo, HIVE, PIG, SQL, Cassandra, Kafka and equivalents.</li><li>\r\r\nExperience in Data Modeling and Architecture.</li><li>\r\r\nExcellent written, oral, and interpersonal communication skills and a keen desire to learn.</li></ul>, <p><b>\r\r\nRequirements</b></p>, <ul><li>\r\r\n1+ years of experience working technical challenges associated with machine learning and/or text/data analysis/natural language processing.</li><li>\r\r\nBS degree</li><li>\r\r\nStrong problem-solving skills and capable of working with analysts, and technical software developers across several technical disciplines.</li><li>\r\r\nStrong software development and/or algorithmic scripting skills, preferably with knowledge of machine learning and/or deep learning frameworks.</li><li>\r\r\nHands-on experience using text/data analysis/natural language processing and machine learning libraries such as Caffe, TensorFlow, Torch, SciPy, OpenCV</li><li>\r\r\nFamiliarity with data analysis and visualization in Python.</li><li>\r\r\nexperience with these, or similar tools” portion of the post:<ul><li>\r\r\nAmazon – Sagemaker, AMI’s, ML Solutions Lab</li><li>\r\r\nGoogle – BigQuery, Dataproc, Spanner.</li></ul></li></ul>, <ul><li>\r\r\nAmazon – Sagemaker, AMI’s, ML Solutions Lab</li><li>\r\r\nGoogle – BigQuery, Dataproc, Spanner.</li></ul>, <p><b><i>\r\r\nPlease complete our online application process to be considered for this role.</i></b></p>, <p>\r\r\nPenguin Random House is the leading adult and children’s publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 250 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children’s Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at http://www.penguinrandomhouse.com/.</p>, <p><i>\r\r\nPenguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.</i></p>]
## 258 [<p><b>\r\r\n19BUD.675.004</b><b>\r\r\n</b></p>, <p><i>Kaleido is an innovative clinical-stage healthcare company leading the discovery and development of novel chemistries to drive functions of the microbiome organ to treat disease and improve human health. The company is advancing a robust pipeline of Microbiome Metabolic Therapies\231 (MMTs) across a range of therapeutic areas, including rare genetic disorders. Kaleido’s unique discovery and development model is redefining traditional R&D, enabling product candidates to advance rapidly into the clinic, dramatically reducing time and cost. </i><i>.\r\r\n</i></p>, <p><b>Overview</b><b>:</b></p>, <p><b>\r\r\nSummary of Key Responsibilities:</b></p>, <ul><li>\r\r\nWork at the intersection of biology, chemistry and clinical studies in cross-functional teams</li><li>\r\r\nCombine data from different domains and use a variety of cutting-edge ML, AI and statistical methods to generate new scientific insights</li><li>\r\r\nWork equally well individually and in a group</li><li>\r\r\nInteract cross-functionally with a wide variety of team members and stakeholders</li><li>\r\r\nEffectively communicate concepts and ideas with scientists less familiar with data science</li><li>\r\r\nDevelop new ways to derive knowledge from heterogeneous data using novel ML techniques</li></ul>, <p><b>\r\r\nQualifications:</b></p>, <ul><li>\r\r\nAn advanced degree (a PhD) in computer science or mathematics with a clear focus on medically-related research data.</li><li>\r\r\nExperience with relevant research applying modern machine learning and artificial intelligence techniques to biological and/or clinical data</li><li>\r\r\nExperience using modern tools for ML and expertise in python and/or R</li><li>\r\r\nProven ability to apply statistical and machine learning techniques to analyze large unstructured data sets\r\r\n</li><li>Experience in the use of medical metadata to annotate, index and analyze Big Data in biomedicine for enabling data-driven decision making</li><li>\r\r\nSkilled in effective communication of complex data and methods to a non-expert.</li><li>\r\r\nEffectively contributing to collaborative projects involving cross-disciplinary teams\r\r\n</li><li>A solid understanding of statistical and mathematical approaches and principles.</li><li>\r\r\nPredictive machine/deep learning, with a focus on techniques revealing actionable biological insight from feature use and predictive rules\r\r\n</li><li>Proficiency using Amazon web services</li></ul>, <p><i>\r\r\nKaleido</i><i> </i><i>Biosciences</i><i> is an EEO employer committed to an exciting, diverse, and enriching work environment.</i></p>]
## 259 [<p><b>All Locations:</b> El Segundo, CA (California)</p>, <p>A trusted partner. A national resource. A leader in national security space. We are THE Aerospace Corporation. A team that takes pride in our readiness to solve some of the most complex technical challenges in existence. With challenges spanning government to commercial, you’ll have the unique opportunity to work on projects that are literally evolving our nation's space and launch capabilities. We all share a common passion and aspiration – to serve a mission much bigger than ourselves. When you join our team, you’ll be part of a rare collection of thought leaders and game-changing innovators. Are you ready to launch your career?</p>, <p><b>Responsibilities</b>\r\r\n</p>, <p>The Aerospace Corporation is seeking a Data Science and Machine Learning Graduate Intern for an internship opportunity implementing time series clustering, anomaly detection, and machine learning algorithms. Projects will be guided by DSAID staff located at the El Segundo, CA campus. This is approximately a 10-week summer internship from May/June to August 2019.</p>, <p><b>KEY FUNCTIONS</b></p>, <ul><li>Apply machine learning and/or statistical techniques to time series classification and telemetry anomaly detection problems</li>\r\r\n<li>Conduct research and implementation of multi-category object recognition/classification software</li>\r\r\n<li>Conduct text analytics and Natural Language Processing</li>\r\r\n<li>Contribute to an existing C++/Python code library.</li>\r\r\n<li>Participates with an interdisciplinary team in ongoing research or technical programs with academic collaboration partners.</li>\r\r\n<li>Applies standard techniques and procedures to carry out a series of prescribed scientific and/or engineering tasks.</li>\r\r\n<li>Training and mentorship will be provided.</li>\r\r\n</ul>, <p><b>Qualifications</b>\r\r\n</p>, <p><b>Performance standards to be successful in this internship position include:</b></p>, <ul><li>Strong written and oral communication skills</li>\r\r\n<li>Must work well in a team environment</li>\r\r\n<li>Must possess strong organizational, time management and project management skills</li>\r\r\n<li>Demonstrated flexibility and ability to adapt to changing organizational need</li>\r\r\n<li>Effective interpersonal skills to coordinate efforts and work with other internal and external organizations</li>\r\r\n<li>Demonstrates behavior that is consistent with the company’s values of Dedication to Mission Success, Technical Excellence, Commitment to Our People, Integrity and Objectivity</li><br/>\r\r\n</ul>, <p><b>REQUIRED QUALIFICATIONS</b></p>, <ul><li>Currently enrolled at an accredited college/university degree program pursuing a Master or PhD degree in computer science, computer engineering, data science, mathematics or related field</li>\r\r\n<li>Experience with Microsoft Office applications (Word, PowerPoint and Excel)</li>\r\r\n<li>Minimum GPA 3.0</li>\r\r\n<li>Must be able to obtain a security clearance</li>\r\r\n<li>US Citizenship required</li>\r\r\n<li>Programming experience (e.g. C++, Python)</li>\r\r\n<li>Experience with object-oriented programming</li>\r\r\n<li>Experience in time series data analysis, image/signal processing, statistics, and linear algebra</li><br/>\r\r\n</ul>, <p><b>PREFERRED QUALIFICATIONS</b></p>, <ul><li>Experience in Natural Language Processing and text analytics</li>\r\r\n<li>Interest in machine and deep learning</li>\r\r\n<li>Strong programming skills utilizing Scikit-learn, Keras, TensorFlow and/or OpenCV libraries</li>\r\r\n<li>Participation in extracurricular activities related to data science (e.g. Kaggle competitions)</li>\r\r\n<li>Strong analytical and creative problem-solving skills</li>\r\r\n<li>Demonstrated ability to work independently and in collaborative environments</li><br/>\r\r\n</ul>, <p>Temporary housing assistance is not available.</p>, <p>The Aerospace Corporation functions as the nation’s independent testing, assessment, and research center for national security space systems, specializing in advanced military space systems. Aerospace offers summer internship positions at our headquarters in El Segundo, California, and our campuses in Chantilly, Virginia, Colorado and New Mexico to give students the opportunity to work in the scientific, technical, or administrative areas of the company.</p>, <p><b>Transcript Requirement</b>\r\r\n</p>, <p>Transcripts are required for this position.</p>, <p><b>Additional Requisition Details</b></p>, <p><b>Clearance Requirement: </b>Secret</p>, <p><b>Access: </b>None</p>, <p><b>Polygraph: </b>None</p>, <p><b>Employment Type: </b>Intern</p>, <p><b>Work Schedule: </b>Full Time</p>, <p><b>Company Statement</b></p>, <p>The Aerospace Corporation has provided independent technical and scientific research, development, and advisory services to national security space programs since 1960. We operate a federally funded research and development center (FFRDC) for the United States Air Force and the National Reconnaissance Office, and support all national security space programs. We also apply more than 50 years of experience with space systems to provide critical solutions to technologically complex systems in such areas as communications, shipping, law enforcement, and cyber, among others.</p>, <p>From our inception, our highly skilled technical staff has focused on ensuring the success of every mission and developing the most effective and economic space-related hardware and software in the world. Our greatest asset is the technical expertise of our people. Our state-of-the-art laboratory facilities are staffed by some of the leading scientists in the world.</p>, <p><i>All Aerospace employees working in organizations with technical responsibilities are required to apply for and maintain at least a Secret clearance. U.S. citizenship is required for those positions.</i></p>, <p><b>Equal Opportunity Commitment</b></p>, <p>The Aerospace Corporation is an Equal Opportunity/Affirmative Action employer. We believe that a diverse workforce creates an environment in which unique ideas are developed and differing perspectives are valued, producing superior customer solutions. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If you’re an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at 310.336.5432 or by email at ieo.mailbox@aero.org. You can also review The Equal Employment Opportunity is the Law poster and the supplement, as well as the Pay Transparency Policy Statement.</p>, <p><br/>\r\r\n<b>Nearest Major Market: </b>Los Angeles\r\r\n<br/>\r\r\n<b>Job Segment: </b>Database, Engineer, Temporary, Secret Clearance, Security Clearance, Technology, Engineering, Contract, Government</p>]
## 260 [<ul><li><div>The <b>Data Scientist- Journeyman </b>will support the customer by providing insights, analytics, reports and recommendations enabling effective strategic planning across the program.</div></li></ul>, <ul><li><div>Analyze actual and predictable interacting operational activities of given target sets and client requests to obtain a quantitative, rational basis for decision making through the application of logic and scientific or economic disciplines and techniques.</div></li>\r\r\n<li><div>Devise modeling and measuring techniques; utilizes mathematics, statistical methods, engineering methods, operational mathematics techniques (linear programming, game theory, probability theory, symbolic language, etc.), and other principles and laws of scientific and economic disciplines.</div></li>\r\r\n<li><div>Identify and evaluate standardized methods, models and algorithms to address intelligence problems of limited scale as directed.</div></li>\r\r\n<li><div>Provide documentation for methods and algorithms use in data science solutions to the client and address outstanding items.</div></li></ul>, <ul><li><div>Other duties as assigned</div></li></ul>, <ul><li><div>NONE</div></li></ul>, <ul><li><div>Bachelor's Degree in a quantitative discipline such as data science, mathematics, statistics, earth science, GIS, computer science, physics or other scientific field and</div></li>\r\r\n<li><div>3+ years of relevant experience with data processing and analysis of large datasets and machine learning</div></li>\r\r\n<li><div>Active TS/SCI Clearance required</div><br/>\r\r\n<br/>\r\r\n<br/>\r\r\n</li></ul>, <ul><li><div>Demonstrated strong writing and oral communication skills</div></li>\r\r\n<li><div>Demonstrate knowledge of math skills, big data, and programming</div></li>\r\r\n<li><div>Strong knowledge of programming languages (e.g., Python JavaScript, SQL, Pig, or R), Elasticsearch, spatial analysis tools and concepts, data mining methods, database structures, and analytic information extraction and visualization.\r\r\n</div></li><li><div>Ability to conceive and prepare thorough, well-articulated tactical or strategic data science products</div></li>\r\r\n<li><div>Ability to identify, retrieve, manipulate, relate and/or exploit multiple structured and unstructured data sets from various sources</div></li>\r\r\n<li><div>Ability to identify problems to which data science can be applied and initiate appropriate solutions</div></li>\r\r\n<li><div>Ability to identify and appropriately evaluate a wide range of existing methods, models and algorithms in familiar domains for a variety of mission driven problems while recognizing the capabilities and limitations of each method</div></li></ul>, <ul><li><div>Shows respect and sensitivity for cultural differences; Educates others on the value of diversity; Promotes a harassment-free environment; Builds a diverse workforce.</div></li></ul>, <ul><li><div>Treats people with respect; Keeps commitments; Inspires the trust of others; Works with integrity and ethically; Upholds organizational values.</div></li></ul>, <ul><li><div>The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</div></li>\r\r\n<li><div>While performing the duties of this Job, the employee is regularly required to sit and talk or hear. The employee is frequently required to walk; use hands to finger, handle, or feel and reach with hands and arms. The employee is occasionally required to stand; climb or balance and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision.</div></li></ul>, <ul><li><div>The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.</div></li>\r\r\n<li><div>The employee will normally work in a temperature-controlled office environment, with frequent exposure to electronic office equipment.</div></li>\r\r\n<li><div>During visits to areas of operations, may be exposed to extreme cold or hot weather conditions. Is occasionally exposed to fumes or airborne particles, toxic or caustic chemicals, and loud noise.</div></li></ul>]
## 261
## 262 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Manager to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nLead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities and artificial intelligence solutions; utilize processes and best practices to plan, lead and execute delivery of artificial intelligence engagements across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nLead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, deliverables, risks, and multiple responsibilities using structured approaches for operational excellence; Communicate results to executive level audiences</li><li>\r\r\nWork with clients to discover data sources, and create data requests; Lead the ETL process to ingest structured data and annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nUtilize a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nPlan and manage engagement objectives and key deliverables using analytics processes to mitigate risks in data, modeling, validation and delivery</li><li>\r\r\nRefactor, deploy, and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution utilizing APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields; PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to work with the business to understand business goals and create an artificial intelligence solution and an accompanying business case that meets the business objectives and business constraints. Expertise in delivering analytics projects using leading processes including expert knowledge of data discovery, cleaning, model selection, validation and deployment</li><li>\r\r\nUnderstanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss mathematical formulations, alternatives, and impact on modeling approach; Knowledge of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms such as Google Cloud, Azure, and AWS; Ability to pick up new languages and technologies quickly; Ability to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 263 [<p>Intel Labs is seeking a motivated researcher that is interested in where neuroscience meets machine learning and artificial intelligence to solve important real-world problems. This is a full-time position with the Brain-Inspired Computing Lab.</p>, <p>\r\r\nResearchers within the Brain-Inspired Computing Lab partner with other internal teams and researchers at universities around the world to develop neuroscientifically-inspired learning algorithms and technologies that make new computing possible. We research, experiment, and prototype implementations that have an impact on Intel’s businesses and customers across a wide range of applications.</p>, <p>\r\r\nIn this position, you will be responsible for designing, implementing, and evaluating new artificial intelligence algorithms and systems inspired by cognitive and systems neuroscience. This requires a deep understanding of state-of-the-art techniques in machine learning, deep learning, or reinforcement learning, and relevant software frameworks. You will use your strong knowledge of scientific principles to suggest and research promising approaches. You will engage in team collaborations and have the ability to work in a demanding team-oriented environment to meet your goals. You are expected to maintain substantial knowledge of state-of-the-art principles and theories, contribute regularly to scientific literature, and maintain strong relationships with key university researchers. You will develop relevant software and hardware technologies with the goal of converting these into products and fueling Intel’s growth. You may also participate in the development of intellectual property.</p>, <p>\r\r\n<b>\r\r\nQualifications</b><br/>\r\r\n</p>, <p>\r\r\nYou must possess the minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates. Experience would be obtained through your educational level research and/or relevant job/internship experiences.<br/>\r\r\n<br/>\r\r\nMinimum Qualifications:</p>, <ul><li>\r\r\nPhD (or graduating) in artificial intelligence, computer science, electrical engineering, or a similar degree</li><li>\r\r\n3 years of research experience in machine learning, deep learning, or reinforcement learning</li><li>\r\r\n2 years of experience in the development of algorithms in high-level languages such as Python, C++, Java, etc.</li><li>\r\r\nA publication record in top-tier conferences and journals in machine learning related fields (NIPS, ICML, AAAI, CVPR, etc.)</li></ul>, <p><br/>\r\r\nPreferred Qualifications:</p>, <ul><li>\r\r\n1 year of experience in neuroscience</li><li>\r\r\n1 year of research experience in the industry (incl. internships)</li><li>\r\r\n1 year of experience with deep learning frameworks (TensorFlow, Caffe, Torch, Theano, etc.)</li><li>\r\r\nStrong verbal and written communication skills</li></ul>, <p>Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.</p>, <p><br/>\r\r\n<b>\r\r\nOther Locations</b><br/>\r\r\n<br/>\r\r\nUS, California, Santa Clara</p>, <p>\r\r\n<b>\r\r\nPosting Statement</b><br/>\r\r\n<br/>\r\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance....</p>]
## 264 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Manager to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nLead workshops and innovation sessions with clients, multi-disciplinary, and cross-functional teams to identify business opportunities and artificial intelligence solutions; utilize processes and best practices to plan, lead and execute delivery of artificial intelligence engagements across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nLead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, deliverables, risks, and multiple responsibilities using structured approaches for operational excellence; Communicate results to executive level audiences</li><li>\r\r\nWork with clients to discover data sources, and create data requests; Lead the ETL process to ingest structured data and annotation processes to enrich unstructured data leveraging a variety of data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nUtilize a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/ Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nPlan and manage engagement objectives and key deliverables using analytics processes to mitigate risks in data, modeling, validation and delivery</li><li>\r\r\nRefactor, deploy, and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution utilizing APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields; PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to work with the business to understand business goals and create an artificial intelligence solution and an accompanying business case that meets the business objectives and business constraints. Expertise in delivering analytics projects using leading processes including expert knowledge of data discovery, cleaning, model selection, validation and deployment</li><li>\r\r\nUnderstanding of data preparation, machine learning, deep learning, natural language processing; ability to discuss mathematical formulations, alternatives, and impact on modeling approach; Knowledge of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, Tensorflow); and experience with platforms such as Google Cloud, Azure, and AWS; Ability to pick up new languages and technologies quickly; Ability to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 265 [<p>\r\r\nElectronic Arts Inc. is a leading global interactive entertainment software company. EA delivers games, content and online services for Internet-connected consoles, personal computers, mobile phones and tablets.</p>, <p><b>\r\r\nWe are EA</b></p>, <p>\r\r\nAnd we make games – how cool is that? In fact, we entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. But making games is hard work. That’s why we employ the most creative, passionate people in the industry.</p>, <p><b>\r\r\nThe Challenge Ahead</b></p>, <p>\r\r\nThe EA Digital Platform Data & AI Group is responsible for providing unified Artificial Intelligence (AI) resources across all franchises within Electronic Arts. Our group develops state-of-the-art machine learning, AI, and data-driven solutions to game team problems, as well as common AI infrastructure for use in every facet of the company. From data modeling to agent building, we utilize a modern, cloud-based tech stack with best-in-class tools to provide solutions and platforms empowering the future state of game development, marketing, sales, and player experience. We’re currently looking for an NLP Scientist to join our team!</p>, <p><b>\r\r\nWhat an AI Scientist does at EA</b></p>, <ul><li>\r\r\nResearch, design, develop and evaluate highly innovative AI applications for contextual dialogue generation, speech generation, NPC behavior, chatbots, knowledge representation, and conversational interfaces</li><li>\r\r\nDevelop state-of-the-art algorithms and extract key insights from EA’s rich store of data to empower intelligent agents within the EA ecosystem</li><li>\r\r\nCreate scalable solutions for problems in the gaming domain</li><li>\r\r\nWork closely with the core development teams to deploy AI applications seamlessly as part of production systems</li><li>\r\r\nResearch and implement novel AI and NLP approaches for new business problems.</li></ul>, <p><b>The next great EA AI Scientist should have</b></p>, <ul><li>\r\r\nPh.D. in Computer Science, or related fields (focus in NLP or ML a plus)</li><li>\r\r\nTrack record of having developed novel AI algorithms, and major journal and conference publications</li><li>\r\r\nStrong problem-solving ability</li><li>\r\r\nStrong programming skills</li><li>\r\r\nExperience with large-scale data and distributed systems – Experience with Apache Hadoop, Spark, and Tensorflow a plus</li><li>\r\r\nExperience with SQL and MPP databases</li><li>\r\r\nExcellent written and verbal communication skills</li></ul>, <p><b>What’s in it for you? Glad you asked!</b></p>, <p>\r\r\nWe love to brag about our great perks like comprehensive health and benefits packages, tuition reimbursement, and 401k with company match and, of course, free video games. And since we realize it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives on creativity and individuality. At EA, we live the “work hard/play hard” credo every day.</p>]
## 266 [<ul>\r\r\n<li>Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms</li>\r\r\n<li>Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions</li>\r\r\n<li>Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements</li></ul>, <ul>\r\r\n<li>Bachelor's degree in Computer Science, Engineering, Mathematics or other business-related field</li>\r\r\n<li>3+ years of relevant consulting or industry experience</li>\r\r\n<li>Experience working independently with minimal guidance</li>\r\r\n<li>Strong problem solving and troubleshooting skills with experience exercising mature judgment</li>\r\r\n<li>Proven experience effectively prioritizing workload to meet deadlines and work objectives</li>\r\r\n<li>Ability to maintain the required TS/SCI CI Poly Security Clearance for this role</li>\r\r\n<li>Experience with: SQL; Python; R; VBA, Hadoop</li>\r\r\n<li>Advanced skills in these areas:\r\r\n</li></ul>, <p>As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.</p>, <p>\r\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]
## 267 [<p>Innovate. Collaborate. Shine. Lighthouse – KPMG's Center of Excellence for Advanced Analytics – has both applied data science, AI, and big data architecture capabilities. Here, you'll work with a diverse team of sophisticated data and analytics professionals to explore the solutions for clients in a platform-diverse environment. This means your ability to find answers is limited only by your creativity in leveraging a vast array of techniques and tools. Be a part of a high-energy, diverse, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. For you, that translates into the chance to work on a wide range of projects – covering technologies and solutions from AI to optimization – and the power to have a real impact in the business world. So, bring your creativity and pioneering spirit to KPMG Lighthouse.</p>, <p>\r\r\nKPMG is currently seeking a Senior Associate Data Scientist to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics to work with our Financial Services team.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>\r\r\nWork in multi-disciplinary and cross-functional teams to translate business requirements into artificial intelligence goals and modeling approaches</li><li>\r\r\nRapidly iterate models and results to refine and validate approach working across different areas (risk management, financial services, mergers and acquisitions, and public policy)</li><li>\r\r\nWork in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations</li><li>\r\r\nBuild ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)</li><li>\r\r\nLeverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing, Rules Engines, Knowledge Graphs, and Semantic Search</li><li>\r\r\nRefactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals</li></ul>, <p>\r\r\nQualifications:</p>, <ul><li>\r\r\nMinimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds</li><li>\r\r\nMaster?s degree from an accredited college/university in Computer Science, Engineering, or related fields. PhD from an accredited college/university is preferred</li><li>\r\r\nAbility to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)</li><li>\r\r\nSolid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency</li><li>\r\r\nFluency in Python; Proficiency in AI related frameworks (NLTK, Spacy, Scikit-Learn, and Tensorflow); Experience with platforms (Google Cloud, Azure, and AWS); Ability to pick up new languages and technologies quickly and to work efficiently under Unix/Linux environment with experience with source code management systems like GIT; Ability to work with a variety of databases (SQL, ElasticSearch, Solr, Neo4j)</li><li>\r\r\nAbility to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future</li></ul>, <p>\r\r\nKPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</p>]
## 268 [<ul>\r\r\n<li>Work closely with various organizational entities/key business stakeholders to understand our fans and customers to ensure that data science projects fulfill the evolving needs of the organization.</li>\r\r\n<li>Manipulate data from various sources using advanced data engineering techniques.</li>\r\r\n<li>Apply advanced analytic techniques such as machine learning, recommendation systems, statistics, deep learning, mathematical models, and algorithms in production environments.</li>\r\r\n<li>Provide ad-hoc analysis that improves decision-making and business performance.</li>\r\r\n<li>Work with the data platform services team to transform prescriptive and predictive models into production-grade software.</li>\r\r\n</ul>]
## 269 [<ul><li>\r\r\nCollects large sets of atmospheric and weather data through multiple channels such as NOAA servers and NOAAPORT.</li><li>\r\r\nAnalyzes existing data collection methods and provides recommended improvements</li><li>\r\r\nExplores and refines data handling, storage and processing methods</li><li>\r\r\nValidates and filters collected data with software algorithm</li><li>\r\r\nBuilds models and algorithms with data</li><li>\r\r\nProvides technical input to feature development plans and concept documents</li><li>\r\r\nProvides significant contributions to defining team roadmap and priorities</li><li>\r\r\nIdentifies patterns and trends in data</li><li>\r\r\nDevelops reliable solutions to complex problems which require the regular use of ingenuity and creativity</li><li>\r\r\nProvides innovation within area of expertise</li><li>\r\r\nRecognized as an expert in assigned discipline at Garmin and applies extensive technical expertise and analysis to initiatives</li><li>\r\r\nResearches new technologies and proposes cost effective solutions</li><li>\r\r\nCreates new data products and derive information from data</li><li>\r\r\nProvides solutions or actionable items from data</li><li>\r\r\nPresents analysis results using appropriate visualization tools to stakeholders</li><li>\r\r\nCollaborates closely with engineering and development teams</li><li>\r\r\nExemplifies Garmin’s Mission, Vision, Values, and Quality Policy and proactively works to improve Garmin’s image and culture</li></ul>, <ul><li>\r\r\nKnowledge of radar theory and principles of meteorology.</li><li>\r\r\nOutstanding academics (cumulative GPA greater than or equal to 3.0 as a general rule)</li><li>\r\r\nMinimum 2 years of experience with Python and/or Matlab</li><li>\r\r\nDemonstrates expert knowledge in data analysis methods and tools</li><li>\r\r\nDemonstrated strong and effective verbal, written, and interpersonal communication skills</li><li>\r\r\nMust be team-oriented, possess a positive attitude and work well with others</li><li>\r\r\nDriven problem solver with proven success in solving difficult problems</li><li>\r\r\nConsistently demonstrates quality and effectiveness in work documentation and organization</li></ul>, <ul><li>\r\r\nMS/PhD in Meteorology or Atmospheric Science</li><li>\r\r\nExperience with processing dual polarization radar products</li><li>\r\r\nExperience with storm modeling and weather data simulation</li><li>\r\r\nExperience with atmospheric microphysics</li><li>\r\r\nExperience with scientific data formats such as NetCDF</li><li>\r\r\nExperience with vertical profiles of weather radar reflectivity</li><li>\r\r\nExperience with ingesting NOAAPORT data</li><li>\r\r\nC, C++ programming experience</li><li>\r\r\nPrevious experience with avionics</li><li><br/>\r\r\n</li></ul>]
## 270 [<ul><li>You have recently graduated or on your final year of studies towards a BS, MS or MBA or equivalent in Computer Science, Mathematics, Economics, Information Management, Statistics or a related field</li></ul>, <ul><li>You have a GPA of 3.0 or higher</li></ul>, <ul><li>You know how to work a problem from beginning to end with data science tools and techniques, including data manipulation (SQL, Hadoop, etc.) and programming (R, Python, XML, Javascript, or ETL) frameworks</li></ul>, <ul><li>You have experience with Oracle databases, strong knowledge of and experience with reporting packages (Business Objects etc), and are knowledgable of statistics for analyzing large datasets (Excel, SPSS, SAS etc).</li></ul>, <ul><li>You possess technical knowledge regarding data models, database design development, data mining and segmentation techniques</li></ul>, <ul><li>You possess strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy</li></ul>, <ul><li>You are proficient in queries, report writing and presenting findings</li></ul>, <ul><li>We connect everything – people, process, data and things – and we use those connections to change our world for the better.</li></ul>]
## 271 [<p>Day Zero Diagnostics is a bacterial genomics start-up in Boston that is seeking to recruit a highly motivated data scientist to join our team. At Day Zero Diagnostics we are modernizing the way infectious diseases are diagnosed and treated by developing a rapid diagnostic that sequences the genomes of pathogenic bacteria, and then uses machine learning methods to identify the cause of the clinical infection.</p>, <p>\r\r\nAs Associate Data Scientist, you will work with a senior machine learning research scientist to develop and implement state-of-the-art antimicrobial resistance prediction models and conduct various research that supports company’s overarching goals.</p>, <p>\r\r\nCandidates will gain experience in a multidisciplinary and fast-paced start-up environment, and will have ample opportunities to acquire new skills, work closely with an accomplished team, and communicate results through patents, conference presentations, and peer-reviewed publications while working in a supportive and energetic environment. We value intellectual curiosity and a strong work ethic, and look for candidates who are both excited to contribute their expertise and eager to broaden their skillset to new areas.</p>, <p>Under the direction of a senior machine learning research scientist, the applicant independently carries out various tasks, including:</p>, <ul>\r\r\n<li>Develop, implement, and test machine learning models for predicting phenotypic traits from genomic sequences</li>\r\r\n<li>Build statistical and analytical tools to research and support machine learning models.</li>\r\r\n<li>Implement numerically optimized CPU/GPU kernels</li>\r\r\n<li>Maintain organized, tested code and corresponding documentation.</li>\r\r\n<li>Present data within and outside of the company at meetings and symposia.</li>\r\r\n<li>Write, edit, and submit manuscripts/abstracts/grants detailing the results of the project.</li>\r\r\n<li>Work closely within the group and with outside collaborators.</li>\r\r\n<li>Maintain close communications with the team regarding progress.</li>\r\r\n</ul>, <ul><li>Bachelor's or Master’s Degree in Computer Science, Machine Learning, Physics, or equiv.</li>\r\r\n<li>Fluency in Python and Linux; familiarity with TensorFlow and C, SQL and git</li>\r\r\n<li>Familiarity with neural network models building (CNN, RNN, etc.)</li>\r\r\n<li>Familiarity with high performance computing (e.g., parallel computing, memory management, OpenMP, CUDA)</li>\r\r\n<li>Familiarity with Bayesian statistics and Hidden Markov Models helpful</li>\r\r\n<li>Familiarity with NGS data analysis, particularly ONT MinION data, helpful</li>\r\r\n<li>Highly motivated and independent, with the ability to work in a dynamic team environment</li>\r\r\n<li>Strong oral and written communications skills</li>\r\r\n<li>Excellent organizational skills and attention to detail</li>\r\r\n<li>Flexibility to occasionally work evenings or weekends</li></ul>]
## 272 [<ul><li>\r\r\nPerforms research, analysis, and modeling on organizational data</li><li>\r\r\nAssists in analyzing key metrics and performing data analysis</li><li>\r\r\nBuilds technical knowledge to support research and analytic responsibilities</li><li>\r\r\nAssists in conducting research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business</li><li>\r\r\nDevelops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions</li><li>\r\r\nProvides findings and analysis for use in decision making</li><li>\r\r\nEnsures that the delivered products meet the business needs of the company</li><li>\r\r\nPartners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership</li></ul>, <ul><li>\r\r\nAbility to identify and understand business issues and map these issues into quantitative questions</li><li>\r\r\nEfficiently work with large datasets</li><li>\r\r\nAbility to design and implement model documentation and monitoring protocols</li><li>\r\r\nDemonstrated understanding and experience with technical systems, datasets, data warehouses, and data analysis techniques</li></ul>, <ul><li>\r\r\nMS Office required</li><li>\r\r\nPython, R, and SAS programming required</li><li>\r\r\nStrong written and verbal presentation skills with an ability to communicate effectively with Senior Management</li><li>\r\r\nAbility to identify and seek needed information/research skills</li><li>\r\r\nAnalytical thinking skills</li><li>\r\r\nAbility to interact collaboratively with internal and external customers</li><li>\r\r\nCapable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure</li><li>\r\r\nProblem/situation analysis</li></ul>, <ul><li>\r\r\nMaster’s Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field required</li></ul>, <ul><li>\r\r\n0-2 years as Data Scientist or similiar quantatative field required</li></ul>, <ul><li>\r\r\nNormal office environment</li></ul>]
## 273 [<ul><li>Work cross-functionally with research scientists, software and electrical engineering, product management and development teams to create algorithms and methods using large, complex and diverse datasets</li><li>Partner with physiology, biomechanics, perception science and other sport science researchers to guide experiment design, gather, curate and analyze data to deliver novel insights that help make athletes better</li><li>Develop and maintain deep understanding of research objectives, proactively identify and help build impactful solutions leveraging data science and machine learning</li><li>Apply techniques from signal processing, pattern recognition, machine learning, classification, sensor fusion and other areas of machine intelligence to quantify athlete and product performance</li><li>Communicate technical information, methods and findings clearly and concisely to technical and non-technical teams and stakeholders</li><li>Collaborate with a cross-functional team of software engineers, data engineers and partner organizations to build and improve advanced analytics capabilities</li><li>Create specifications and quotation documentation for external professional services firms as needed to achieve data science objectives in a time and cost effective manner</li><li>Stay connected with machine intelligence innovations across the industry and share findings with team members and partners across the organization</li><li>Support investigation of new tools/software and machine learning techniques</li></ul>, <ul><li>PhD (preferred) or Masters in a quantitative field (statistics, computer science, biomedical or electrical engineering, or similar) or equivalent practical experience</li><li>3+ years demonstrated data science experience in Python (scikit-learn, matplotlib, pandas, numpy etc.), including data synthesis, machine learning, statistical modeling or signal processing</li><li>Familiarity with software engineering best practices, data engineering, ETL processes</li><li>Proven ability to read, interpret, and implement methods described in research papers, journals, and articles in signal processing, machine learning, mathematical modeling and related fields</li><li>Proven experience communicating technical information in written and verbal formats</li></ul>, <ul><li>Understanding and working knowledge of cardiovascular physiology, biomechanics, perception science or related fields</li><li>Familiarity with various data collection and processing systems and instruments relevant to sport science research including motion capture, force plates and wearable sensors</li><li>Experience with activity recognition/classification, physiological signal processing, time-series analysis, biomechanical modeling or related areas using data captured in real-world settings</li><li>Working knowledge or familiarity with Git or SVN, Jupyter notebooks and deep learning frameworks such as Tensorflow, Keras, Pytorch</li><li>Working knowledge or familiarity with Matlab</li></ul>]
## 274 [<p>We are looking for talented <b>Data Scientists</b> to join the Machine Learning & Artificial Intelligence (ML/AI) team. You are a talented data scientist that is tired of applying basic statistical tools to yet another set of KPI’s. You are passionate about deriving creative solutions from imagery using cutting edge computer vision techniques and big data pipelines. You are excited about the analytical potential and challenges associated with processing petabytes of time-series imagery. You are intrigued by being a part of a collaborative team, spearheading ML/AI applications for realizing unprecedented, scalable products.<br/>\r\r\n<br/>\r\r\n<b>PRIMARY RESPONSIBLITIES</b></p>, <ul>\r\r\n<li>Help to aggregate, clean, and organize data for machine learning applications</li>\r\r\n<li>Collaborate with scientists and engineers to develop/scale Python and similar algorithms to cloud environments</li>\r\r\n<li>Process raster and vector data using Python and OpenCV-like libraries for ingestion into neural nets</li>\r\r\n<li>Work with the team to develop new techniques and capabilities using machine learning and neural networks</li>\r\r\n<li>Research and experiment new technologies that can improve algorithm applications</li><br/>\r\r\n</ul>, <ul><li>Python, R or similar language</li>\r\r\n<li>Experience with Amazon AWS or comparable cloud processing</li>\r\r\n<li>Experience with Linux-based command line environments</li>\r\r\n<li>SQL knowledge</li>\r\r\n<li>Experience with Neural Networks & predictive analytics (class projects are fine)</li>\r\r\n<li>Ability to work independently & excellent communication skills</li>\r\r\n<li>Minimum BA or BS in computer science, engineering or related field or equivalent work experience</li>\r\r\n</ul>, <p><b>WHAT DOESN’T DESCRIBE YOU:</b></p>, <ul>\r\r\n<li>A desire to only work on things you are most familiar with</li>\r\r\n<li>Fear of dynamically changing, uncertain, or unestablished requirements\r\r\n</li><li>A desire for explicit tasking on a daily basis\r\r\n</li></ul>, <p>EagleView® Technologies offers competitive pay and robust benefit plans along with the opportunity to grow your career in a fast-paced, fun and casual environment.</p>, <p>\r\r\nEagleView and its subsidiaries are committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Disability/Veteran.</p>]
## 275 [<ul><li>\r\r\nEnvision and deliver information systems solutions in alignment with the Medical School's strategic and tactical business plans.</li><li>\r\r\nIdentify efficient tools for business and clinical application design and development. Incorporate technology tools where appropriate</li><li>\r\r\nDesign experiments, test hypotheses, and build models</li><li>\r\r\nPerform data analysis and moderately complex design algorithms.</li><li>\r\r\nWork with stakeholders to identify requirements.</li><li>\r\r\nCollaborate with subject matter experts to select the relevant sources of information</li><li>\r\r\nWork with team members to solve client analytic problems and document results/methodologies.</li><li>\r\r\nPerform experimental design approaches to validate finding or test hypotheses.</li><li>\r\r\nValidate/Verify analysis by comparing appropriate samples.</li><li>\r\r\nUse appropriate algorithms to discover patterns in complex datasets</li><li>\r\r\nPerform other duties as assigned.</li></ul>, <ul><li>\r\r\nMaster's in Data Science, Informatics, a related field, or equivalent experience</li><li>\r\r\n3 years of experience in development and implementation of technologies preferably for an academic research organization.</li><li>\r\r\nProven experience with clinical and clinical trial data</li><li>\r\r\nExperience working in a scientific research environment</li><li>\r\r\nStrong interpersonal and communication skills required.</li><li>\r\r\nDemonstrated ability to provide documentation.</li><li>\r\r\nAbility to communicate effectively in writing.</li></ul>]
## 276 [<p>Like to be part of building something new? In your position, you’ll be part of a new team that will be developing the data analytics function to ensure we have capabilities to provide effective insights into our business and processes to help us position ourselves for the future. The missing piece is you, bringing your critical thinking, expertise, and energy.</p>, <p>\r\r\nYou’ll be part of a strategic multi-million dollar investment in data and analytics sponsored at the highest level of our organization. You will be partnering with stakeholders and executing on advanced analytics projects. You’ll bring best practices, a track record of fostering partnerships, and an approach that delivers results. With stakeholder input, you’ll manage projects to inform the enterprise of trends, competitive intelligence, and operational insights. You’ll leverage sophisticated analytic tools and methodologies in support of a winning strategy in a continually changing business environment. You’ll provide strategic input on projects both large and small. You’ll report to the Director of Advanced Analytics.<br/>\r\r\n</p>, <ul><li>You’ll have experience with data mining, machine learning, statistical modeling, and underlying methods and algorithms.\r\r\n</li><li>You’ll have extensive experience in analyzing large data sets using software such as R, Python and Power BI.\r\r\n</li><li>You are proficient in working with SQL and databases. Experience with Microsoft Azure cloud computing platform a plus.\r\r\n</li><li>You have a proven track record of using data to provide actionable and impactful business results</li><li>\r\r\nPrior experience within the insurance, financial services or healthcare industry preferred</li><li>\r\r\nEffective communications skills that instill confidence with internal and external audiences and translate complex concepts to non-technical stakeholders to help enable understanding and drive informed business decisions.\r\r\n</li><li>A low-ego, team-oriented and collaborative approach in keeping with the corporate culture.</li><li>\r\r\nSolutions-oriented mind-set; able to work effectively through complex problems.</li><li>\r\r\nEasily establish yourself as a trusted partner and the ability to build effective partnerships across all areas of the organization and with colleagues at all levels.\r\r\n</li><li>The ability to influence a variety of stakeholders to drive cultural and organizational change</li><li>\r\r\nIntellectual curiosity, a passion for data and a results orientation.<br/>\r\r\n</li></ul>]
## 277 [<p>Our Data Science department is seeking an Associate Data Scientist to join our growing team in our Worcester, MA office.</p>]
## 278 [<p>If you’re ready to innovate and help lead the development for Hewlett Packard Enterprise’s (HPE) Analytics Platform, come join us now! You will be part of an organization that is revolutionizing reporting solutions and architecting a data and analytics landscape that is simplified, modern, flexible and will ultimately enable HPE on its transformation journey and beyond.</p>, <p>\r\r\nJob Overview:</p>, <p>\r\r\nWe are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.</p>, <p>\r\r\nResponsibilities:</p>, <ul><li>Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.</li><li>Assess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li>Develop custom data models and algorithms to apply to data sets.</li><li>Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.</li><li>Develop testing framework and test model quality.</li><li>Coordinate with different functional teams to implement models and monitor outcomes.</li><li>Develop processes and tools to monitor and analyze model performance and data accuracy.</li></ul>, <ul><li>We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.</li><li>Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.</li><li>Experience querying databases and using statistical computer languages: R, Python, SQL, etc.</li><li>Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.</li><li>Experience with distributed data/computing tools: Hadoop, Hive, Spark, MySQL, etc.</li><li>Experience visualizing/presenting data for stakeholders</li><li>Experience with RapidMiner is a plus</li></ul>, <p>\r\r\nKnowledge and Skills:</p>, <ul><li>Strong problem solving skills with an emphasis on product development.</li><li>Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.</li><li>Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.</li><li>Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.</li><li>Excellent written and verbal communication skills for coordinating across teams.</li><li>A drive to learn and master new technologies and techniques.</li></ul>, <p>\r\r\nThis job is eligible for an Employee Referral Bonus of $3,000. To refer an external candidate, please use the link below. Thank you</p>, <p>\r\r\nhttps://content.int.hpe.com/sites/GblEmployeeReferral/GlobalEmployeeReferralPage.page</p>, <p>Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.</p>]
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## 280 [<p><b>ORGANIZATION SUMMARY</b>\r\r\n</p>, <p>Weatherford is one of the largest multinational oilfield service companies providing innovative solutions, technology and services to the oil and gas industry. The Company operates in over 90 countries and has a network of approximately 1,000 locations, including manufacturing, service, research and development, and training facilities and employs approximately 29,500 people. For more information, visit www.weatherford.com and connect with Weatherford on LinkedIn, Twitter, YouTube and Facebook.</p>, <p>\r\r\nWeatherford delivers innovative technologies and services designed to meet the world’s current and future energy needs in a safe, ethical, and sustainable manner. Grounded by our core values and inspired by our world-class people, we are committed to being a trusted business partner to those we serve.</p>, <p><b>\r\r\nJOB DESCRIPTION</b>\r\r\n</p>, <p>Weatherford’s Production business is seeking a Data Scientist who is passionate about data and wants to apply machine learning techniques to solve problems for our customers. This person is expected to be proficient in the exploration and understanding of structured and unstructured data, machine learning techniques, statistical modeling methods, predictive analytics, anomaly detection, and supervised and unsupervised learning. The successful candidate will work with stakeholders to leverage data to solve critical business problems in the oil & gas production domain.</p>, <p>\r\r\nThe Data Scientist will work on all aspects of the design, development and delivery of machine learning enabled solutions including problem definition, data acquisition, data exploration, feature engineering, experimenting with various ML algorithms, evaluating metrics, deploying models and iteratively improving the total solution. He or she will work with data from diverse, unstructured formats including numerical, time series, text, and image.</p>, <p><b>\r\r\nDUTIES & RESPONSIBILITIES:</b></p>, <p>\r\r\nFormulate meaningful hypothesis that are relevant to the business objectives.</p>, <p>\r\r\nDesign and train models for use in production environments.</p>, <p>\r\r\nMine structured and unstructured data for patterns.</p>, <p>\r\r\nUtilize data from databases, historians, and/or data lakes.\r\r\n</p>, <p>Rigorously build, analyze and compare machine learning or statistical models; there is a strong emphasis on programming using the most popular machine learning languages such as Python.</p>, <p>\r\r\nWork with application developers to develop data-analytics products that are deployed to end-users as part of packaged solutions.</p>, <p>\r\r\nVisualize and report findings of deployed data analytics solutions to provide insights to the organization and our customers.</p>, <p><b>\r\r\nQUALIFICATIONS</b>\r\r\n</p>, <p><b>Required:</b></p>, <p>\r\r\nB.S. or higher in Engineering, Mathematics, Statistics or Computer Science with significant experience in data analytics.</p>, <p>\r\r\nMS degree with 5+ years experience is preferred.</p>, <p>\r\r\nExpertise in predictive modeling, machine learning and statistics.</p>, <p>\r\r\nSoftware development skills in one or more high level languages (Python/Java/R/Scala).</p>, <p>\r\r\nExperience using one or more of the following common ML software packages: scikit-learn, TensorFlow, NumPy, pandas, jupyter.</p>, <p>\r\r\nWell-versed in machine learning algorithms and their suitability for solving various problems: Regression, Bayesian, Support Vector Machines, Decision Trees, Random Forest, Clustering, Neural Networks.</p>, <p>\r\r\nExperience in using SQL/No SQL databases is an advantage</p>, <p>\r\r\nExperience working in Linux is an advantage</p>, <p>\r\r\nExperience with Big Data technologies is an advantage (Hadoop, Hive, Spark, Cassandra).</p>, <p>\r\r\nGood critical thinking, technical, data collection and user interviewing skills.</p>, <p>\r\r\nAbility to work as a team member in a fast-paced environment.</p>, <p>\r\r\nExperience with Agile software development processes is preferred.</p>, <p>\r\r\nExperience with Cloud service offerings from AWS, Azure or GCP is a plus.</p>, <p><b>\r\r\nPOSITION SPECIFIC DETAILS</b>\r\r\n</p>, <p>Weatherford offers competitive compensation and benefits upon hire; including paid vacation to start, matching 401K program, comprehensive benefits program, and employee stock purchase program (ESPP) and opportunities for on-going training and career development. VEVRAA Federal Contractor – Priority Referral Requested</p>, <p>\r\r\nWeatherford is an Equal Opportunity Employer Females/ Minorities/ Veterans/Disabled and gives consideration for employment to qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.</p>]
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## 282
## 283 [<ul>\r\r\n<li>Strong background leveraging the PyData stack (pandas, scikit-learn, xarray, dask, numba, etc) to build analysis tools and data processing pipelines for geo-spatial data such as NWP/GCM outputs, re-analysis, or other geoscientific datasets</li>\r\r\n<li>Experience in applying statistics to solve problems in the atmospheric sciences, such as processing forecast model output / observations from sources like NOAA or ECMWF, executing model emulation, or assessing uncertainty and predictability</li>\r\r\n<li>Experience working with ensemble model output from NOAA, ECMWF, etc</li>\r\r\n<li>Expertise in processing and analyzing tera-scale collections of weather model or climate model output</li>\r\r\n</ul>, <ul>\r\r\n<li>At least a BS in Meteorology, Atmospheric Science, or similar is required; an MS in a related field is a strong plus</li>\r\r\n<li>At least one year conducting research or development in weather, oceanography, or climate in an academic or business setting</li>\r\r\n</ul>, <ul>\r\r\n<li>Prior work with machine learning or deep learning to study geo-scientific data and develop novel forecasting or analysis applications.</li>\r\r\n<li>PhD in atmospheric sciences, climate science, mathematics, or physics</li>\r\r\n<li>Can share an existing portfolio of work, either on GitHub or a personal website</li>\r\r\n<li>Familiarity computing on the cloud</li>\r\r\n<li>Proficient in writing code to visualize, analyze, and assess weather forecasts and data.</li>\r\r\n<li>Experience with open-source software development</li>\r\r\n</ul>]
## 284 [<p>Sprint is an <b>Equal Opportunity Employer</b> and has been recognized for its commitment to diversity and creating an inclusive workplace where all employees’ backgrounds, talents and contributions are valued. Sprint reviews applications for employment without regard to the applicant's race, religion, color, creed, gender/sex, gender identity, national origin, genetic information, ancestry, age, citizenship, marital status, sexual orientation, protected veteran status, disability or any other classification protected by Federal, state or local law. Sprint is a background screening, drug-free workplace.<br/>\r\r\n<br/>\r\r\nEqual Opportunity Employer/Disability/Protected Veterans<br/>\r\r\n<br/>\r\r\nIf you are a qualified individual with a disability or a disabled protected veteran and need an accommodation or accessibility assistance to apply for one of our positions, you may submit a request by sending an email to <b>careers@sprint.com</b> or by faxing your request to <b>913-523-9980</b>.<br/>\r\r\n<br/>\r\r\n“Applicants have rights under Federal Employment Laws” <b>Family and Medical Leave Act (FMLA) Poster</b>; <b>Equal Employment Opportunity (EEO) Poster</b>; <b>Supplemental Equal Employment Opportunity (EEO) is the Law Poster</b>; <b>Employee Polygraph Protection Act (EPPA) Poster</b>; <b>Pay Transparency Notice Poster</b>; and the <b>Philadelphia’s Fair Change Hiring Law Poster</b>.</p>]
## 285 [<p>Snapshot\r\r\n</p>, <p>How you will help:\r\r\n</p>, <ul><li>Supports advanced analytics solutions and application development</li><li>\r\r\nSupports predictive modeling strategies and development</li><li>\r\r\nSupports large scale data pipeline development</li><li>\r\r\nContributes to new solution methodology</li><li>\r\r\nContributes to internal software development in support of advanced analytics</li><li>\r\r\nMonitor production model performance and communicate results to stakeholders</li><li>\r\r\nCommunicates opportunities and risks to stakeholders on a proactive basis</li><li>\r\r\nCollaborates with platform engineering team to add advanced analytics capabilities and visualizations into Insights Platforms</li></ul>, <p>Who we have in mind:\r\r\n</p>, <ul><li>Professional experience as a Data Scientist</li><li>\r\r\nExperience with scripting language for predictive modeling & statistical analysis such as R or Python.</li><li>\r\r\nMasters or Ph.D. in Statistics, Mathematics, or a related quantitative field</li><li>\r\r\nExperience in applied data analysis, particularly in applied predictive modeling and statistical analysis</li><li>\r\r\nUsing, implementing and improving predictive modeling and statistical analysis processes and systems</li><li>\r\r\nFormal training in statistical and mathematical theory</li><li>\r\r\nBasic skills in Microsoft Word and Excel</li><li>\r\r\nProficiency in predictive, and inferential modeling</li><li>\r\r\nExperience with distributed file storage and computation systems</li><li>\r\r\nStrong analytical skills</li><li>\r\r\nProficiency with scripting language such as R, Python or Scala</li><li>\r\r\nAbility to communicate clearly and concisely, both orally and in writing</li><li>\r\r\nAbility to balance multiple priorities and meet deadlines</li><li>\r\r\nAttention to detail</li></ul>, <p>It would be great if you had:\r\r\n</p>, <ul><li>Knowledge of the telecommunications industry preferred</li><li>\r\r\nExperience with Spark preferred</li><li>\r\r\nExperience with agile and scrum project management preferred</li></ul>, <p>What we offer:\r\r\n</p>, <ul><li>Competitive Salary + Bonus</li><li>\r\r\nFlex Time PTO</li><li>\r\r\nHealthcare</li><li>\r\r\n401K</li><li>\r\r\nVision\r\r\n</li><li>Dental</li></ul>]
## 286 [<p>Snapshot\r\r\n</p>, <p>How you will help:\r\r\n</p>, <ul><li>Supports advanced analytics solutions and application development</li><li>\r\r\nSupports predictive modeling strategies and development</li><li>\r\r\nSupports large scale data pipeline development</li><li>\r\r\nContributes to new solution methodology</li><li>\r\r\nContributes to internal software development in support of advanced analytics</li><li>\r\r\nMonitor production model performance and communicate results to stakeholders</li><li>\r\r\nCommunicates opportunities and risks to stakeholders on a proactive basis</li><li>\r\r\nCollaborates with platform engineering team to add advanced analytics capabilities and visualizations into Insights Platforms</li></ul>, <p>Who we have in mind:\r\r\n</p>, <ul><li>Professional experience as a Data Scientist</li><li>\r\r\nExperience with scripting language for predictive modeling & statistical analysis such as R or Python.</li><li>\r\r\nMasters or Ph.D. in Statistics, Mathematics, or a related quantitative field</li><li>\r\r\nExperience in applied data analysis, particularly in applied predictive modeling and statistical analysis</li><li>\r\r\nUsing, implementing and improving predictive modeling and statistical analysis processes and systems</li><li>\r\r\nFormal training in statistical and mathematical theory</li><li>\r\r\nBasic skills in Microsoft Word and Excel</li><li>\r\r\nProficiency in predictive, and inferential modeling</li><li>\r\r\nExperience with distributed file storage and computation systems</li><li>\r\r\nStrong analytical skills</li><li>\r\r\nProficiency with scripting language such as R, Python or Scala</li><li>\r\r\nAbility to communicate clearly and concisely, both orally and in writing</li><li>\r\r\nAbility to balance multiple priorities and meet deadlines</li><li>\r\r\nAttention to detail</li></ul>, <p>It would be great if you had:\r\r\n</p>, <ul><li>Knowledge of the telecommunications industry preferred</li><li>\r\r\nExperience with Spark preferred</li><li>\r\r\nExperience with agile and scrum project management preferred</li></ul>, <p>What we offer:\r\r\n</p>, <ul><li>Competitive Salary + Bonus</li><li>\r\r\nFlex Time PTO</li><li>\r\r\nHealthcare</li><li>\r\r\n401K</li><li>\r\r\nVision\r\r\n</li><li>Dental</li></ul>]
## 287 [<p><b>Job Summary:</b></p>, <p>\r\r\nTVG- Fanduel is looking for a Data Scientist who will support the product, marketing and TV teams with insights gained from analyzing company data to delight customers and drive business growth within the TVG Horse Racing segment. Comfortable questioning the status quo, the selected candidate is also technically competent and a collaborative leader who inspires, influences and motivates growth.</p>, <p>\r\r\n Possessing excellent interpersonal and communication skills, the candidate must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.</p>, <p>\r\r\n In a nutshell, the successful candidate is experienced, curious, commercially minded, customer-centric and has a strong bias to action.</p>, <p><b>\r\r\nEssential Functions:</b></p>, <ul><li>\r\r\nWork with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>\r\r\nMine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.</li><li>\r\r\nAssess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li>\r\r\nDevelop custom data models and algorithms to apply to data sets.</li><li>\r\r\nUse predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.</li><li>\r\r\nCoordinate with different functional teams to implement models and monitor outcomes.</li><li>\r\r\nDevelop processes and tools to monitor and analyze model performance and data accuracy</li></ul>, <p><b>\r\r\nQualifications (Skills, Education, Experience):</b></p>, <ul><li>\r\r\n3+ years of data and insights experience, with specific gaming and/or gambling digital marketplace experience not required.</li><li>\r\r\nExperience working with and creating data architectures</li><li>\r\r\nExcellent written and verbal communication skills for coordinating across teams</li><li>\r\r\nCurious, rigorous, strategic thinker with strong problem-solving and analytical skills; able to execute tactically and hands-on as required.</li><li>\r\r\nConfident, entrepreneurial and an experienced decision-maker – comfortable with considered risk and change.</li><li>\r\r\nPassionate, driven, relentless</li><li>\r\r\nExperience using web services (i.e. Redshift or similar)</li><li>\r\r\nKnime is our main analytical tools – familiarity and experience of using such tool would be advantageous</li><li>\r\r\nKnowledge and experience in statistical and data mining techniques</li></ul>, <p><b>\r\r\n Physical demands (ADA):\r\r\n</b></p>, <p>The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p>, <p>\r\r\nWhile performing the duties of this job, the employee is regularly required to walk and talk or hear. The employee is frequently required to use hands to finger, handle, or use calculator or numerical keys on computer keyboard. The employee is frequently required to sit for long periods of time as well as bend, reach, and stoop, or kneel. Moderate physical activity is involved, including the ability to lift 15 pounds.</p>, <p>\r\r\nSpecific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.</p>, <p><b>\r\r\nWork Environment:</b></p>, <p>\r\r\nWork is normally performed in a typical interior/office work environment. Must be able to multi-task in a constantly changing environment. Requires the ability to meet pressure deadlines and time constraints.</p>, <p><i>\r\r\nThe above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.</i></p>, <p>\r\r\nEmployee Name________________________________</p>, <p>\r\r\nEmployee Signature_____________________________ Date___________________________</p>, <p>\r\r\nI have received a copy of the job description.</p>]
## 288 [<ul><li>Develop data analytics systems to support NGMS objectives</li>\r\r\n<li>Utilize machine learning algorithms, which may include belief networks, Hidden Markov models, Artificial Immune Systems, Gaussian Mixture Models, Decision Tress, graph theory, Information Geometry, Genetic Algorithms, and basic statistical analysis.</li>\r\r\n<li>Test algorithms on large and small data sets, including textual, numeric, temporal, and symbolic data</li>\r\r\n<li>Employ relevant analytics COTS products</li>\r\r\n<li>Program in Python</li>\r\r\n<li>Understand data storage and retrieval techniques, ETL, and databases</li>\r\r\n<li>Systems engineering knowledge, and ability to design data storage and management systems in support of analytics</li>\r\r\n<li>Ability to incorporate user experience principles for systems and display development</li>\r\r\n<li>Collaborate with stakeholders to develop solutions to problems and potential problems</li>\r\r\n<li>Interface with customers and consumers to develop system requirements</li>\r\r\n<li>Tell the story of the data</li></ul>, <ul><li>Data Analytics systems development</li>\r\r\n<li>Software Engineering\r\r\n</li><li>Systems Integration<br/>\r\r\n</li></ul>, <ul><li>Information Management</li>\r\r\n<li>Machine learning algorithm development experience</li>\r\r\n<li>Systems engineering experience\r\r\n</li><li>User experience and design for systems development</li>\r\r\n<li>Big data/data science experience</li>\r\r\n<li>MS or Ph.D. Degree<br/>\r\r\n</li></ul>]
## 289 [<p>Did you know that over half of the team members at the Domino's headquarters in Ann Arbor, MI, work in technology and/or analytics?</p>, <p>\r\r\nTo continue building on our success in the food, digital and delivery space, Domino’s is growing their team of data scientists to develop machine learning and AI applications to make our team members more efficient and ensure our consumers have the best pizza experience every time they choose to order from Domino’s.</p>, <p>\r\r\nThe team will have access to a wide breadth of data generated by our current platforms, as well as new sensor data that the team will work to implement and collect. The team will work closely with our application development teams to deploy these solutions into Domino’s customer and employee applications.</p>, <p><b>\r\r\nRESPONSIBILITIES AND DUTIES</b></p>, <p><b>\r\r\n(75%) Architect solutions to solve problems using machine learning and AI</b></p>, <p><b>\r\r\n(20%) Provide guidance, coaching and support</b></p>, <p><b>\r\r\n(5%) Rapid experimentation, prototyping and demonstration of new technology, tools, and techniques</b></p>, <p><b>MINIMUM QUALIFICATIONS</b></p>, <ul><li>\r\r\nMaster’s degree (or Bachelor’s degree with equivalent experience) in a quantitative science such as statistics, mathematics, computer science, engineering, etc.</li><li>\r\r\nMinimum of two years of experience in enterprise database environments</li><li>\r\r\nAdvanced knowledge of SQL</li><li>\r\r\nProficient with at least one scripting and one programming language, e.g. R, Python, Java, C/C++</li><li>\r\r\nExperience with a wide variety of ML techniques and algorithms</li><li>\r\r\nExperience training models with at least one deep learning framework (TensorFlow, CNTK, Torch, Caffe, etc.)</li><li>\r\r\nExperience with data integration and ETL</li><li>\r\r\nExcellent project management skills</li></ul>]
## 290 [<ul><li>Identify business requirements, understand expected outcomes, and generate hypotheses.</li><li>Prepare project plans to align with business needs and objectives.</li><li>Set project and task deadlines and communicates status updates.</li><li>Extract, Transform, Load (ETL) on large, varied datasets.</li><li>Design experiments, tests hypotheses, discovers patterns and relationships within data, and build statistical models.</li><li>Ensure data integrity and model reliability by validating results and cleansing data.</li><li>Prepare and delivers results in a way that is easily interpreted and actionable for end users.</li><li>Assist in developing data analytics processes and procedures.</li><li>Attend, present and provide data for meetings to include project updates and reviews.</li></ul>, <ul><li>Minimum 3 years experience in developing simulation, optimization, and predictive models.</li><li>Minimum 3 years experience using large datasets and using databases.</li><li>Minimum Master's Degree in Computer Science or related areas</li><li>Familiar with basic principles of distributed computing and/or distributed databases.</li><li>Experience using large datasets and using databases.</li><li>Visual Studio and Microsoft SQL Server Management Studio.</li><li>Expertise in SQL and querying databases efficiently.</li><li>Knowledgeable of Agile SCRUM methodolgy.</li></ul>]
## 291 [<ul><li>\r\r\nWork with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions</li><li>\r\r\nGenerate reports and analysis on key product metrics</li><li>\r\r\nDevelop custom data models and algorithms to apply to data sets</li><li>\r\r\nHelp identify and assess metrics and KPIs that can be tracked to measure impacts and business outcomes</li><li>\r\r\nActively involved in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs</li></ul>, <ul><li>Excellent problem solving and communication skills</li><li>\r\r\nStrong statistics and mathematical fundamentals</li><li>\r\r\nFamiliar with reporting and analytics platforms and tools such as Looker, Google Analytics, and Excel</li><li>\r\r\nFamiliar with our cloud computing platform, AWS</li></ul>, <ul><li>B.S. in Computer Science, Statistics, Mathematics or similar field</li><li>\r\r\nProficient in Python, SQL, and other statistical tools</li></ul>, <ul><li>\r\r\nAbility to lift up to 50 pounds\r\r\n</li><li>Ability to stand for extended periods</li><li>\r\r\nAbility to work on a computer in front of a display monitor for extended periods</li><li>\r\r\nAbility to consistently operate a computer and other office productivity machinery, including but not limited to a calculator, copy machine, and computer printer</li><li>\r\r\nOccasional night and weekend work are a natural part of this position</li><li>\r\r\nAbility to travel upon request</li></ul>]
## 292
## 293 [<p><b>Data Scientist II</b></p>, <ul><li>\r\r\nLeads predictive analytics projects - this means leading a team of data scientists and collaborating with our stakeholders to solve business challenges</li><li>\r\r\nConducts exploratory data analysis, model development, model monitoring, and benefit estimation</li><li>\r\r\nPartners with business stakeholders to translate business objectives into clearly defined analytical projects</li><li>\r\r\nWorks with the business to develop and implement a strategy on how to use the predictive model for most impact</li><li>\r\r\nEstablishes and maintains collaborative relationships throughout the organization</li><li>\r\r\nDemonstrates commitment to continuous education and personal development on areas of technical expertise and share knowledge with team members and business partners.</li></ul>, <p><b>\r\r\nBasic Qualifications:</b></p>, <ul><li>High School Diploma or Equivalent with 7 or more years of experience in Computer Science, Statistics or Mathematics and experience transforming data in the business analysis area</li></ul>, <ul><li>Zurich Certified Insurance Apprentice including an Associate Degree in Computer Science, Statistics or Mathematics and 5 or more years of experience transforming data in the business analysis area</li></ul>, <ul><li>Bachelor’s Degree in Computer Science, Statistics or Mathematics and 5 or more years of experience transforming data in the business analysis area</li></ul>, <ul><li>Master’s Degree in Computer Science, Statistics or Mathematics and 3 or more years of experience transforming data in the business analysis area</li></ul>, <ul><li>Ph.D. in Computer Science, Statistics or Mathematics and 0 or more years of experience transforming data in the business analysis area</li></ul>, <p><b>Preferred Qualifications:</b></p>, <ul><li><div>Advanced analytical and problem solving skills</div></li></ul>, <ul><li><div>\r\r\nAbility to develop actionable solutions to business challenges</div></li></ul>, <ul><li><div>\r\r\nAdvanced knowledge of statistical and predictive modeling techniques such as machine learning, decision trees, ensemble learning, probability networks, association rules, regularized models, clustering, regression, GLMs, and neural networks and their application to business decisions</div></li></ul>, <ul><li><div>\r\r\nDemonstrated experience in one or more of the above mentioned statistical and/or machine learning techniques</div></li></ul>, <ul><li><div>\r\r\nExperience applying data transformation techniques such as exact and probabilistic matching methods; fuzzy matching, text mining, and data reduction</div></li></ul>, <ul><li><div>\r\r\nExperience applying data transformation techniques such as exact and probabilistic matching methods; fuzzy matching, text mining, and data reduction</div></li></ul>, <ul><li><div>\r\r\nExperience with programming and data mining tools such as R, Python, SAS, SQL, Hadoop, Hive, or Pig</div></li></ul>, <ul><li><div>\r\r\nExcellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to audiences at varying levels of analytic understanding</div></li></ul>, <ul><li><div>\r\r\nAbility to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.</div></li></ul>, <ul><li><div>\r\r\nCoach and provide technical advice and counsel within and outside operating unit.</div></li></ul>, <p><br/>\r\r\nImagine working for a company that truly cares about their employees, customers, stakeholders, and communities they serve. Imagine working for a values-driven organization that has the ambition and desire to be the best global insurance provider in the world. Zurich is that place where 55,000 employees across approximately 200 countries and territories are all focused on helping people and helping companies protect what is truly most important to them. We are a values-driven organization that takes pride in the work that we do every day and we have the ambition to be the best global insurer in the world.</p>, <p>EOE disability/vets</p>, <p>Zurich does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resume will become the property of Zurich American Insurance. If you are a preferred vendor, please use our Recruiting Agency Portal for resume submission.</p>]
## 294
## 295 [<ul><li>Create, implement, and improve models and algorithms in PROS’ software products to help generate predictions and prescriptive recommendations</li>\r\r\n<li>Explore potential innovations to pricing, revenue management and sales effectiveness through various techniques which could include machine learning, cognitive computing, time series forecasting, reinforcement learning, recommender systems and deep learning</li>\r\r\n<li>Help diagnose problems reported by our customers</li>\r\r\n<li>Run simulations and test new ideas</li>\r\r\n<li>Design specifications, with examples and test cases, for implementing models and algorithms into our software</li>\r\r\n<li>Collaborate with other data scientists and cross-functional teams to identify innovation opportunities and possible solution ideas</li><br/>\r\r\n</ul>, <ul><li>Advanced degree (Ph.D. preferred) in machine learning, statistics, or a related field</li>\r\r\n<li>Experience creating machine learning and statistical models</li>\r\r\n<li>Excellent written and verbal communication skills</li>\r\r\n<li>Strong programming skills in at least one of the following: R, Python, Java, C/C++</li>\r\r\n<li>Thrives in a collaborative team environment: likes to work with others</li>\r\r\n<li>Self-starter with clear career goals</li>\r\r\n<li>Ability to apply creative thinking to find innovative solutions to business problems</li>\r\r\n<li>Positive mind-set and optimistic outlook who can contribute to a positive work culture</li>\r\r\n<li>Excellent references</li><br/>\r\r\n</ul>, <ul><li>Ownership</li>\r\r\n<li>Passion:</li>\r\r\n<li>Pride</li>\r\r\n<li>Trust</li>\r\r\n<li>Integrity</li>\r\r\n<li>Innovation</li>\r\r\n<li>Customer Centricity</li><br/>\r\r\n</ul>]
## 296 [<p><b>Rifiniti</b> is a growth-stage SaaS solutions provider for commercial real-estate end-users. We integrate client data into our proprietary cloud-based data-warehouse, process it, and provide our clients with actionable workplace analytics.</p>, <p>\r\r\nWe have a dynamic team, consisting of data scientists, ETL, front- and back-end software developers, QA experts, and sales and support personnel. Our team is located in Boston, US, Sofia, Bulgaria, and Ukraine. We have a large and growing number of customers, all of whom are global companies with significant leased and owned office space portfolios for their operations.</p>, <p>\r\r\nOur data scientists work closely with our software engineers as well as a growing ecosystem of business partners and customers to build leading edge technologies in big data, machine learning, real time intelligence that scale the business.</p>, <p><b>\r\r\nResponsibilities</b></p>, <ul><li>\r\r\nDevelop<i> machine learning algorithms </i>to handle <i>big data</i> questions<i>.</i></li><li>\r\r\nBuild real-time data infrastructures that process large volumes of data.</li><li>\r\r\nImplement and manage highly scalable infrastructures that collect, store and process hundreds of millions of interactions per day.</li><li>\r\r\nDevelop predictive modeling and analysis systems using machine learning methodologies, regression and clustering analysis.</li><li>\r\r\nDevelop system specifications, and translate system requirements to task specifications for junior data scientists.</li><li>\r\r\nManage projects on time and on budget to meet project specifications using scrum/agile methodologies.</li><li>\r\r\nKeep the software team abreast of new strategic and technology information relevant to Rifiniti’s products and services.</li></ul>, <p><b>\r\r\nRequirements</b></p>, <ul><li>\r\r\nMasters degree in computer science, applied math or statistics with 2+ year experience in software development, machine learning, data mining.</li><li>\r\r\nStrong proficiency using Python, Jupyter and Spark in production, as well as background in statistical programming, e.g. R or Matlab.</li><li>\r\r\nExperience with MySQL</li><li>\r\r\nExperience with AWS a plus</li><li>\r\r\nExcellent and written communication skills in English.</li><li>\r\r\nStrong teamwork and interpersonal skills.</li></ul>, <p><b>\r\r\nCompensation & Benefits</b></p>, <p>\r\r\nWe offer a comprehensive, competitive plan:</p>, <ul><li>\r\r\nSalary based on expertise and experience</li><li>\r\r\nAnnual performance bonus</li><li>\r\r\nHealth insurance plan</li><li>\r\r\nRegular vacation and personal days off</li><li>\r\r\nPaid sick leave</li><li>\r\r\n401(k) plan</li><li>\r\r\nEmployee stock options</li><li>\r\r\nLong and short-term disability insurance</li><li>\r\r\nLife insurance</li><li>\r\r\nContinuing education reimbursement</li><li>\r\r\nOption to work from home on occasion</li></ul>]
## 297 [<ul><li>\r\r\nAnalyzing real world data and proposing novel solutions to user challenges.</li><li>\r\r\nImplementing pipelines to prepare and learning from real world data.</li><li>\r\r\nDesigning crowdsourcing pipelines for collecting reliable and unbiased data for experimentation.</li><li>\r\r\nDeveloping, refining, and evaluating online and offline product metrics.</li><li>\r\r\nMonitoring key product metrics and understanding root causes of changes.</li></ul>, <ul><li>\r\r\nPhD degree in Computer Science or Engineering.\r\r\n</li><li>5+ years of experience working with any of the following languages: C#, Python, or R.<br/>\r\r\n</li><li>2+ years of experience working with Hadoop.\r\r\n</li><li>3+ years of experience with statistical data analysis.</li></ul>, <ul><li>\r\r\nPublications in major HCI/ML/IR/NLP conferences would be a plus. Example: CHI, NIPS, ICML, KDD, WWW, SIGIR, WSDM, ACL, EMNLP.</li><li>\r\r\nA willingness to learn, share, and improve.</li><li>\r\r\nSuperior verbal, visual and written communication skills</li></ul>]
## 298 [<ul>\r\r\n<li>Helping farmers in India get what they need most: insurance in tough years.</li>\r\r\n<li>Giving produce growers in California the tools to optimize yields and minimize waste</li>\r\r\n<li>Helping irrigated farmers in Nebraska manage water more efficiently and sustainably to protect our water supply</li>\r\r\n</ul>, <ul>\r\r\n<li>Perform deep dive analyses to understand and optimize environmental measurements</li>\r\r\n<li>Provide expertise on statistical and mathematical concepts in a production environment</li>\r\r\n<li>Develop and implement state-of-the-art analytical algorithms for time series segmentation, classification, and recognition</li>\r\r\n<li>Research, develop, and prototype measurements for real-time crop monitoring and decision agriculture</li>\r\r\n<li>Collaborate with team members from prototyping through production to rolling out big data capabilities, analytic frameworks, and best practices inside of data science</li>\r\r\n</ul>, <ul>\r\r\n<li>Advanced degree in a relevant computer or physical science or engineering discipline using any of these technologies</li>\r\r\n<li>Substantial experience working on strategy and full-life cycle data science in Python, as well as experience working with data mining tools with Python and/or R</li>\r\r\n<li>Experience with machine learning libraries such as xgboost, sklearn, Tensorflow, Keras, etc</li>\r\r\n<li>An understanding of large datasets, the application of calibrations and analytics in a wide range of environments, and the implications of scalability across the globe</li>\r\r\n<li>Team experience, specifically in cross-group collaborations with outstanding communication skills</li>\r\r\n<li>Ability to obtain work authorization in the United States in 2018</li>\r\r\n</ul>, <ul>\r\r\n<li>Experience in digital sound processing</li>\r\r\n</ul>, <ul>\r\r\n<li>Excellent medical, dental, vision, life, disability benefits, and a 401k program</li>\r\r\n<li>Ability to work closely with customers who are hungry for our product, and where can make a positive impact on their livelihood and the world</li>\r\r\n<li>A focus on community involvement and career development</li>\r\r\n<li>We are an equal opportunity employer and value diversity at our company. We are committed to creating an inclusive environment for all employees.</li>\r\r\n</ul>]
## 299 [<ul>\r\r\n<li>Full healthcare, dental, vision benefits •401k plan •Flexible vacation policy; work hard and take time when you need it •$150/month in gym/commuter credits •HQ catered meals, unlimited coffee, snacks and beverages •HQ team retreats every quarter •HQ team sports (soccer, dodgeball, and more) •HQ team happy hours •Weekly looks at all major company metrics •Shiny new laptop of your choosing</li>\r\r\n</ul>]
## 300 [<p>Data Scientist duties will typically be focused on the customer’s business analytics, metrics collection, and analysis efforts to assist the customer’s management team in process improvement .</p>]
## 301 [<ul><li>\r\r\nCollecting, analysis and clean up data</li><li>\r\r\nCreating algorithms for processing catalog products using different data sources.</li><li>\r\r\nExperimenting with different models and neural networks, creating model ensembles</li><li>\r\r\nCreating workflow for publishing algorithms to production</li></ul>, <ul><li>\r\r\nStrong skills in machine and/or deep learning algorithms, data cleaning, feature extraction and generation</li><li>\r\r\nDemonstrated computational skills and experience with Python.</li><li>\r\r\nExperience executing and presenting independent analysis</li></ul>, <ul><li>Previous experience in computer vision and/or image analytics</li><li>\r\r\nStrong skills in convolutional neural networks.</li><li>\r\r\nSkills in applying machine learning/deep learning for text processing</li><li>\r\r\nExperience with opencv</li><li>\r\r\nExperience with keras/tensorflow<br/>\r\r\n</li><li>Experience with spark</li><li>\r\r\nExperience with kubeflow</li></ul>, <p><b>\r\r\nWe Offer:</b></p>, <ul><li>\r\r\nOpportunity to work on bleeding-edge projects</li><li>\r\r\nWork with a highly motivated and dedicated team</li><li>\r\r\nCompetitive salary</li><li>\r\r\nFlexible schedule</li><li>\r\r\nMedical insurance</li><li>\r\r\nBenefits program</li><li>\r\r\nCorporate social events</li><li>\r\r\nProfessional development opportunities</li></ul>, <p><b>\r\r\nAbout Us:</b></p>, <p>\r\r\nGrid Dynamics is an engineering services company known for transformative, mission-critical cloud solutions for the retail, finance and technology sectors. We have architected some of the busiest e-commerce services on the Internet, and have never had an outage during the peak season. Founded in 2006 and headquartered in San Ramon, California with offices throughout the US and Eastern Europe, we focus on big data analytics, scalable omnichannel services, DevOps, and cloud enablement.</p>]
## 302 [<ul><li>Work directly with the cross functional teams to encourage best practices for the design of experiments and data analysis</li>\r\r\n<li>Answer complex business questions through appropriate statistical techniques using available data or designing and running experiments to gather data</li>\r\r\n<li>Provide advanced analysis in assessing and evaluating current and new business opportunities</li>\r\r\n<li>Develop A/B testing plans for pricing, supply chain, and marketing strategies</li>\r\r\n<li>Create interactive visualizations and presentations to enhance decision making abilities throughout the company</li>\r\r\n<li>Present and interpret findings of complex analyses to business leadership teams</li>\r\r\n<li>Develop novel applications of classification, forecasting, simulation, optimization, and summarization to support business decisions</li>\r\r\n</ul>, <ul><li>Critical thinker possessing superior analytical abilities with the ability to make logical decisions based on limited information.</li>\r\r\n<li>Experience working with large data sets and distributed computing tools such as Hadoop, Map/Reduce, Hive, etc…</li>\r\r\n<li>Expert knowledge of analytical tools such as SAS, R, Matlab, and STATA</li>\r\r\n<li>Advanced knowledge of scripting languages such as Python, Perl, or PHP</li>\r\r\n<li>Ability to manage multiple projects, while maintaining sufficiently high attention to detail</li>\r\r\n<li>Familiarity with visualization tools such as Tableau or Spotfire</li>\r\r\n<li>Familiarity with relational databases and SQL</li>\r\r\n<li>Flexibility and proven ability to diagnose and resolve issues</li>\r\r\n<li>Strong history of leadership with intellectual curiosity, ability to think outside the box and challenge the norms and “status quo”</li>\r\r\n<li>Hard working, smart, creative, analytical, highly driven, exceptionally organized</li>\r\r\n<li>Strong communication skills, ability to solve problems, assertive, focused on execution and results driven</li>\r\r\n</ul>, <ul><li>Ph.D. or Master’s Degree in a relevant technical field such as Applied Mathematics, Computer Science, Engineering, Physics, or Economics</li></ul>]
## 303 [<p>\r\r\nZillow Group’s Economic Research team is looking for a bright and curious data scientist who has a passion for ensuring high data quality and operational excellence through precise measurement and data-driven recommendations. As part of this role, you will:</p>, <ul><li><p>\r\r\nDive into Zillow's internal and third party data (think Hive, Presto, SQL Server, Redshift, Python, Mode Analytics, Tableau, R) to uncover real estate trends and inform economic research</p></li><li><p>\r\r\nWork closely with economists, applied scientists, and engineers to evaluate new data sources and develop statistical/ML models</p></li><li><p>\r\r\nDevelop best practices for data quality diagnostics across both the metrics we produce and the upstream data we ingest</p></li><li><p>\r\r\nIncrease operational efficiency of our data and metrics platform by creating better process monitoring tools</p></li><li><p>\r\r\nWork on ad-hoc data and research questions that come from both internal and external stakeholders\r\r\n</p></li><li><p>Tell stories that describe analytical results and insights in meetings of all sizes with diverse audiences.</p></li></ul>, <p>\r\r\nDive into Zillow's internal and third party data (think Hive, Presto, SQL Server, Redshift, Python, Mode Analytics, Tableau, R) to uncover real estate trends and inform economic research</p>, <p>\r\r\nWork closely with economists, applied scientists, and engineers to evaluate new data sources and develop statistical/ML models</p>, <p>\r\r\nDevelop best practices for data quality diagnostics across both the metrics we produce and the upstream data we ingest</p>, <p>\r\r\nIncrease operational efficiency of our data and metrics platform by creating better process monitoring tools</p>, <p>\r\r\nWork on ad-hoc data and research questions that come from both internal and external stakeholders\r\r\n</p>, <p>Tell stories that describe analytical results and insights in meetings of all sizes with diverse audiences.</p>, <p>\r\r\nYou will not shy away from complexity or uncertainty. You will develop a deep understanding of our mission, data sources, and metrics. We want you to use the intuition you've developed in the past, through excellence in your education, career, and personal life, to find opportunities for improvements and cultivate insights from our massive data sets. You will ideally have:</p>, <ul><li><p>\r\r\nAn undergraduate or Master's degree in a quantitative field (e.g. science, engineering, economics, finance, statistics, or similar)</p></li><li><p>\r\r\n2+ years of work experience involving quantitative data analysis and complex problem solving</p></li><li><p>\r\r\nCommand of SQL, and some knowledge of either Python or R</p></li><li><p>\r\r\nExperience with dashboarding technologies such as Tableau, Dash, R Shiny, or D3.js a plus</p></li><li><p>\r\r\nExperience directly querying large data sets of varying shapes, such as time series and panel data, clickstream data, and unstructured data</p></li><li><p>\r\r\nA strong understanding of concepts, terminology, and measurement issues related to data quality measurement and diagnostics</p></li><li><p>\r\r\nStrong written, verbal, and visual communication skills to concisely communicate in a way that provides context, offers insights, and minimizes misinterpretation</p></li><li><p>\r\r\nThe skills to work cross-functionally between business, tech, and science teams</p></li></ul>, <p>\r\r\nAn undergraduate or Master's degree in a quantitative field (e.g. science, engineering, economics, finance, statistics, or similar)</p>, <p>\r\r\n2+ years of work experience involving quantitative data analysis and complex problem solving</p>, <p>\r\r\nCommand of SQL, and some knowledge of either Python or R</p>, <p>\r\r\nExperience with dashboarding technologies such as Tableau, Dash, R Shiny, or D3.js a plus</p>, <p>\r\r\nExperience directly querying large data sets of varying shapes, such as time series and panel data, clickstream data, and unstructured data</p>, <p>\r\r\nA strong understanding of concepts, terminology, and measurement issues related to data quality measurement and diagnostics</p>, <p>\r\r\nStrong written, verbal, and visual communication skills to concisely communicate in a way that provides context, offers insights, and minimizes misinterpretation</p>, <p>\r\r\nThe skills to work cross-functionally between business, tech, and science teams</p>, <p>Zillow Group is owned, fueled and grown by innovators who help people make better, smarter decisions around all things home. We encourage one another at every level, and our efforts are supported by employee-driven, world-class benefits that enable us to enjoy our lives outside the office while building fulfilling careers that impact millions of individuals every day.</p>, <p><i>\r\r\nZillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.</i></p>]
## 304 [<p>The ideal candidate is a creative and passionate problem-solver who thinks big, acts quickly, and is motivated to develop new approaches to optimizing Nordstrom’s business using quantitative techniques and cutting-edge technology.<br/>\r\r\n</p>, <p><b>A day in the life…\r\r\n</b></p>, <ul><li><p>Engage broadly with the business to frame, structure and prioritize business problems where analytic projects or tools can have the biggest impact on Nordstrom’s business\r\r\n</p></li><li><p>Perform large-scale statistical research, analysis, and modeling in the areas of web analytics, supply chain optimization, and forecasting\r\r\n</p></li><li><p>Communicate insights and recommend areas for further data discovery\r\r\n</p></li><li><p>Design optimization algorithms, working with colleagues to develop and deploy useful data products and data driven software as required<br/>\r\r\n</p></li></ul>, <p>Engage broadly with the business to frame, structure and prioritize business problems where analytic projects or tools can have the biggest impact on Nordstrom’s business\r\r\n</p>, <p>Perform large-scale statistical research, analysis, and modeling in the areas of web analytics, supply chain optimization, and forecasting\r\r\n</p>, <p>Communicate insights and recommend areas for further data discovery\r\r\n</p>, <p>Design optimization algorithms, working with colleagues to develop and deploy useful data products and data driven software as required<br/>\r\r\n</p>, <p><b>You own this if you have…\r\r\n</b></p>, <ul><li><p>Master’s degree in Computer Science, Mathematics, Statistics, or equivalent education and experience\r\r\n</p></li><li><p>1+ year of corporate experience in Data Science and Analytics\r\r\n</p></li><li><p>3+ years of corporate experience using SQL in a variety of RDMS environments\r\r\n</p></li><li><p>Scripting skills in Bash and at least one analytic programming language (e.g. R or Python)\r\r\n</p></li><li><p>Experience working with NoSQL data environments and tools such as Hadoop, Spark, DynamoDB\r\r\n</p></li><li><p>Fluency with statistical and machine learning algorithms such as decision trees, neural networks, collaborative filtering, clustering, survival analysis, graph theory, etc.\r\r\n</p></li><li><p>Knowledge and experience working with cloud computing solutions such as AWS, Azure\r\r\n</p></li></ul>, <p>Master’s degree in Computer Science, Mathematics, Statistics, or equivalent education and experience\r\r\n</p>, <p>1+ year of corporate experience in Data Science and Analytics\r\r\n</p>, <p>3+ years of corporate experience using SQL in a variety of RDMS environments\r\r\n</p>, <p>Scripting skills in Bash and at least one analytic programming language (e.g. R or Python)\r\r\n</p>, <p>Experience working with NoSQL data environments and tools such as Hadoop, Spark, DynamoDB\r\r\n</p>, <p>Fluency with statistical and machine learning algorithms such as decision trees, neural networks, collaborative filtering, clustering, survival analysis, graph theory, etc.\r\r\n</p>, <p>Knowledge and experience working with cloud computing solutions such as AWS, Azure\r\r\n</p>, <p><b>We’ve got you covered…\r\r\n</b></p>, <p>Our employees are our most important asset and that’s reflected in our benefits. We listen to what’s most important and continue to evolve our offering to support both our employees and their families.\r\r\n</p>, <p>Beyond strong health, retirement and time off benefits, Nordstrom is proud to offer:\r\r\n</p>, <ul><li>Commuter Benefits\r\r\n</li><li>100% Paid Parental Leave\r\r\n</li><li>Charitable Giving and Volunteer Match\r\r\n</li><li>Merchandise Discount\r\r\n</li><li>Nordstrom Stock Purchase Plan\r\r\n</li></ul>, <p>A few more important points...\r\r\n</p>, <p>The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.\r\r\n</p>, <p>Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.\r\r\n</p>, <p>Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com .\r\r\n</p>, <p>© 2018 Nordstrom, Inc. | Nordstrom Careers Privacy Policy\r\r\n</p>, <p>Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.</p>]
## 305 [<ul><li>Ensures the actual adoption and value realization of the analytical solutions and models by developing the complex analytic models, proving the validity of these models, explaining them to the business partners, and driving continuous improvement to the models based on model results and business requirements changes.\r\r\n</li><li>Finds and integrates new internal or external datasets necessary to complete the analysis and improve the validity, predictability, and accuracy of models.\r\r\n</li><li>Ability to present highly technical information to business units not versed in such technicalities.\r\r\n</li><li>Interpreting data and analyzing results using statistical techniques, and providing on-going reports in a timely and professional manner.\r\r\n</li><li>Developing and implementing databases, data collection systems, data analytics, and other strategies that will provide efficient data and reporting solutions.\r\r\n</li><li>Responsible for identifying business trends from big data sources to enable faster and better decision making.\r\r\n</li><li>Employs statistical procedures (Logistic regression, Machine Learning).\r\r\n</li><li>Develops model tracking methodologies and reports to monitor model performance.\r\r\n</li><li>Utilizes statistical software (e.g., SAS, JMP, R, Python) to develop models.\r\r\n</li></ul>, <ul><li>Bachelor’s Degree in a relevant study area is required (e.g. computer science, mathematics, statistics, business analytics).\r\r\n</li><li>Master’s Degree in a relevant study area is preferred (e.g. computer science, mathematics, statistics, business analytics).</li></ul>]
## 306 [<p>The Data Scientist/Data Engineer (Predictive Service Management) for Predictive Services will work with Engineering, ISS, TechOps, and IT to develop new operational capabilities and mature Lexmark advanced analytics and data-driven decision making. Dive into technical project work in order to help Predictive Service Management increase customer up time and reduce Lexmark costs. Leverage and create cutting-edge predictive models and supporting technologies to build better services and support for Lexmark field devices.</p>, <p><b>\r\r\nResponsibilities:</b></p>, <p>\r\r\nWork with cross-functional resources including IT, Hardware/Firmware/Software Development Engineering, and Service Operations teams within Lexmark specifically to:</p>, <ul>\r\r\n<li>Design, build, test, and deploy new knowledge engineered rules and models that identify devices at risk for failure</li>\r\r\n<li>Blend methodologies from machine learning, applied statistics, and operations research in order to distill complex and disparate data sources into value-added information streams accessible by non-technical staff</li>\r\r\n<li>Work with NoSQL, RDBMS, and various AWS services to build robust applications of data science</li>\r\r\n<li>Use RShiny to create interactive applications and visualizations that empower our workforce to discover advanced analytics without becoming a data scientist</li>\r\r\n<li>Reproducible research is a requirement for the team, so you will be expected to code, instead of click, your way to success.</li></ul>, <p>\r\r\nMinimum Requirements</p>, <ul>\r\r\n<li>Bachelor of Science degree in Computer Science, Data Science, or a relevant field</li>\r\r\n<li>4+ years industry experience</li>\r\r\n<li>Experience with object-oriented/object function scripting languages: Python, R</li>\r\r\n<li>Proficiency in using visualization tools such as Tableau, Power BI and / or Business Objects</li></ul>, <p>\r\r\nPreferred Experience and Skills</p>, <ul>\r\r\n<li>Lean operational excellence experience</li>\r\r\n<li>General knowledge of Service’s processes and systems (TSC, Service Delivery, Siebel, Fleetview)</li>\r\r\n<li>General knowledge of how our laser products work and are used including HealthCheck data</li>\r\r\n<li>Experience assembling large, complex data sets that meet functional / non-functional business requirements.</li>\r\r\n<li>Experience developing distributed application backend/services</li>\r\r\n<li>Experience with designing complex data pipelines</li>\r\r\n<li>Experience with relational SQL and NoSQL databases, including MongoDb and Redshift.</li>\r\r\n<li>Experience with AWS cloud services: EC2, Redshift, SQS, SNS</li></ul>, <p>\r\r\n*Prefer candidates based in/commutable to Lexington, KY. *Relocation is not offered for this position. *Must have permanent US work authorization.</p>]
## 307 [<ul><li>The essential functions listed represent the major duties of this role, additional duties may be assigned.\r\r\n</li><li>Communication & Project Ownership\r\r\n<br/>\r\r\n<br/>\r\r\n<ul><li>Support large projects, and manage smaller projects in their entirety\r\r\n</li></ul><br/>\r\r\n<ul><li>Partner with senior team members to assess customer needs and define business questions. Emerging ability to influence customers to take action on analytical insights.\r\r\n</li></ul><br/>\r\r\n<ul><li>Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.\r\r\n</li></ul><br/>\r\r\n<ul><li>Identify and communicate roadblocks.\r\r\n</li></ul><br/>\r\r\n<ul><li>Work on multiple concurrent projects and accommodate frequent interruptions and changing priorities\r\r\n</li></ul><br/>\r\r\n<ul><li>Effectively participate in meetings with customers and emerging ability to guide discussion and decision making.\r\r\n</li></ul><br/>\r\r\n(60%)\r\r\n</li><li>Data Analysis\r\r\n<br/>\r\r\n<ul><li>Acquire and bring structure to data so that it can be used in existing and new data systems.\r\r\n</li><li>Build tools that help you and the other Data Scientists translate insights into action at scale.\r\r\n</li><li>Identify, define and translate business needs/problems into analytical questions.\r\r\n</li><li>Design and execute experiments, models, algorithms, and visualizations\r\r\n</li><li>Understand data sources and limitations, warehousing system and the impact of the data on business decisions.\r\r\n</li><li>Identify, retrieve, and manipulate data from internal and external datasets.\r\r\n</li><li>Apply statistical and computational methodologies to provide actionable insights and identify opportunities that optimize quality, consumer experience, and healthcare costs.\r\r\n</li><li>Develop scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.\r\r\n</li></ul><br/>\r\r\n(30%)\r\r\n</li><li>Reporting & Other\r\r\n<br/>\r\r\n<br/>\r\r\n<ul><li>Contribute to technical reports, white papers, and publications.\r\r\n</li></ul><br/>\r\r\n<ul><li>Stay current on new processes and technology in Data Science and communicate findings to team\r\r\n</li></ul><br/>\r\r\n<ul><li>Perform all other tasks as assigned\r\r\n</li></ul><br/>\r\r\n(10%)\r\r\n</li></ul>, <ul><li>Support large projects, and manage smaller projects in their entirety\r\r\n</li></ul>, <ul><li>Partner with senior team members to assess customer needs and define business questions. Emerging ability to influence customers to take action on analytical insights.\r\r\n</li></ul>, <ul><li>Communicate results and insights, both verbally and written (including visual graphics), in a clear and concise manner to a non-technical audience.\r\r\n</li></ul>, <ul><li>Identify and communicate roadblocks.\r\r\n</li></ul>, <ul><li>Work on multiple concurrent projects and accommodate frequent interruptions and changing priorities\r\r\n</li></ul>, <ul><li>Effectively participate in meetings with customers and emerging ability to guide discussion and decision making.\r\r\n</li></ul>, <ul><li>Acquire and bring structure to data so that it can be used in existing and new data systems.\r\r\n</li><li>Build tools that help you and the other Data Scientists translate insights into action at scale.\r\r\n</li><li>Identify, define and translate business needs/problems into analytical questions.\r\r\n</li><li>Design and execute experiments, models, algorithms, and visualizations\r\r\n</li><li>Understand data sources and limitations, warehousing system and the impact of the data on business decisions.\r\r\n</li><li>Identify, retrieve, and manipulate data from internal and external datasets.\r\r\n</li><li>Apply statistical and computational methodologies to provide actionable insights and identify opportunities that optimize quality, consumer experience, and healthcare costs.\r\r\n</li><li>Develop scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.\r\r\n</li></ul>, <ul><li>Contribute to technical reports, white papers, and publications.\r\r\n</li></ul>, <ul><li>Stay current on new processes and technology in Data Science and communicate findings to team\r\r\n</li></ul>, <ul><li>Perform all other tasks as assigned\r\r\n</li></ul>]
## 308 [<p><b>Position Description</b></p>, <ul><li>Work closely with merchants to define objectives and design appropriate analytics solutions</li><li>Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand consumers</li><li>Develop analytical models to drive analytics insights</li><li>Lead small and participate in large data analytics project teams</li><li>Participate in the continuous improvement of data science and analytics</li><li>Present data insights and recommendations to key stakeholders</li><li>Provide and support the implementation of business solutions</li><li>Model compliance with company policies and support company mission, values, and standards of ethics and integrity</li></ul>, <p><b>\r\r\nMinimum Qualifications</b></p>, <ul><li>\r\r\nBachelor of Science and 2 years' data science experience OR Master of Science and 1 years' data science experience.</li></ul>, <p><b>\r\r\nAdditional Preferred Qualifications</b></p>, <ul><li>3 years’ experience in predictive modeling and large data analysis</li><li>3 years’ experience with statistical programming languages (for example, R, SAS)</li><li>3 years’ experience with SQL and relational databases (for example, DB2, Oracle, SQL Server)</li><li>Strong experience in any scripting language (Python, PHP, Perl, etc.)</li><li>Experience with Big Data/Distributed computing (Hadoop, Hive, Cassandra, Spark, etc.)</li><li>Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product</li><li>Experience analyzing data and a broad understanding of core statistical and ML techniques</li><li>Capability to develop experimental and analytic plans for data modeling processes, use of baselines and KPIs, and ability to accurately determine cause and effect relationships</li><li>Certificate in business analytics, data mining, or statistical analysis</li></ul>, <p><b>\r\r\nCompany Summary</b></p>]
## 309 [<p><b>Job Number:</b> 20713\r\r\n</p>, <p><b>Position Title:</b>\r\r\n</p>, <p><b>External Description:</b>\r\r\n<br/>\r\r\nEquifax empowers businesses and consumers with information they can trust. A global leader in information solutions, we leverage one of the largest sources of consumer and commercial data, along with advanced analytics and proprietary technology, to create customized insights that enrich both the performance of businesses and the lives of consumers.<br/>\r\r\n<br/>\r\r\nWith a strong heritage of innovation and leadership, Equifax continuously delivers new innovative solutions with the highest integrity and reliability. Businesses - large and small - rely on us for consumer and business credit intelligence, portfolio management, fraud detection, decisioning technology, marketing tools, and much more. We empower individual consumers to understand their personal credit information, protect their identity, and maximize their financial well-being.<br/>\r\r\n<br/>\r\r\nHeadquartered in Atlanta, Georgia, Equifax Inc. operates in the U.S. and 16 other countries throughout North America, Latin America and Europe. Equifax is a member of Standard & Poor's (S&P) 500 Index. Our common stock is traded on the New York Stock Exchange under the symbol EFX.<br/>\r\r\n<br/>\r\r\nThe foundation of Equifax is our talented, dedicated employees. Our mission is to deliver world- class information solutions to businesses and consumers. We accomplish our goals by drawing upon the experience, energy and teamwork of our employees in a growing, dynamic, and fun place to work.<br/>\r\r\n<br/>\r\r\nAs a global company Equifax offers a competitive benefits package specific to each geographic location. We provide our employees and their families with programs that will enhance their well-being and security.<br/>\r\r\n<br/>\r\r\nEquifax is an equal opportunity employer and we positively value diversity within our organization. Equifax is a drug-free work place. For more information about Equifax, please visit: www.equifax.com<br/>\r\r\n<br/>\r\r\n Equifax supports mainly 5 different teams involved in Credit Bureau analytics, Product development, Attribute development, Trended Data, International Analytics, Customer Analytics, Model Risk Management and Marketing Analytics. Work in these teams include end-to-end analytical needs which include - data modeling, customized analytics on US consumer bureau data, generic and customized bureau model development, strategies to implement models and validation of customized scorecards using bureau data as well as customers data, Generic risk score development and management of scores, competitor analysis, market share. Analytics in these teams is done by using data from different sources - credit data (bureau data), workforce solution, mortgage data, wealth data, vehicle registration data, telecom/utility data and commercial data.<br/>\r\r\n<br/>\r\r\nWe are looking for Analytics professionals who wish to pursue a career with one of the fastest growing analytics companies with the opportunity to work in a very niche area viz. <b>Bureau Analytics.</b><br/>\r\r\n<br/>\r\r\nEquifax has a new career opportunity for a Statistician/programming expert in our Enterprise Analytics business unit. This position will sit at our Atlanta, GA office.<br/>\r\r\n<br/>\r\r\n<b>Position Description</b><br/>\r\r\n</p>, <ul><li>\r\r\nCollaborate with analytical sales team in crafting and executing on compelling analytical projects that demonstrate the value of Equifax solutions to customers</li><li>\r\r\nCollaborate with Data Stewards and Data Scientists in developing and implementing Equifax innovative solutions</li><li>\r\r\nArticulate and educate various internal stakeholders on Equifax data and analytical solutions</li><li>\r\r\nYou will have opportunities to explore different data sources across Equifax to develop new data attributes to be used in a variety of statistical models</li><li>\r\r\nInterrogate Equifax data sources to create attributes, testing attribution significance through different Artificial Intelligence techniques</li><li>\r\r\nMaintain existing attribute suites and perform analysis to determine value and stability</li><li>\r\r\nWork with Product Managers and customers on the formulation of new attribute solutions across credit, fraud and marketing arenas</li><li>\r\r\nCreate detailed documentation outlining design and technical specifications of each solution</li><li>\r\r\nExpertise in big data environment and ability to code in Python, Scala, R, HQL and SAS in a Hadoop/Spark infrastructure</li><li>\r\r\nExpertise in Machine Learning and Deep Learning</li></ul>, <ul><li>Master's degree or higher in Statistics, Mathematics, Computer Science or other related discipline; or equivalent work experience</li><li>\r\r\n3-5 years' experience Python programming experience in a big data environment</li><li>\r\r\n3-5 years' experience Scala programming experience in a big data environment</li><li>\r\r\n3-5 years of SAS programming experience in a big data environment</li><li>\r\r\n3-5 years of experience working with analytics in a business environment</li><li>\r\r\nR, C++, SQL, JAVA programming a plus</li><li>\r\r\nExtensive knowledge of model design, model development, validation, scoring and implementation best practices</li><li>\r\r\nExperience in design documents to show value of analytical insights</li><li>\r\r\nAbility to apply analytical rigor to Verticals Markets; Auto, Communications, Mortgage, Payments, Retail Banking and Insurance</li><li>\r\r\nExperience in the credit, fraud and/or marketing analytics arena is preferred</li><li>\r\r\nDetail oriented with ability to accurately gather and analyze data</li><li>\r\r\nExcellent communication skills with the ability to interact with multiple departments in solving cross-departmental issue\r\r\n</li><li>Ability to clearly present statistical solutions to non-statistical people</li><li>\r\r\nAbility to create new ideas for statistical solutions to customer's business issues</li><li>\r\r\nManipulate large amount of data and integrate diverse data sources into solutions</li><li>\r\r\nExpertise in Machine Learning and Deep Learning</li><li>\r\r\nExpertise in developing and validating Linear Regression Models</li><li>\r\r\nExpertise in developing and validating Logistic Regression Models</li><li>\r\r\nExpertise in developing and validating decision trees</li><li>\r\r\nExpertise in developing and validating Neural Network family of Models(ANN,CNN,RNN)</li></ul>, <p><b>City:</b> Alpharetta\r\r\n</p>, <p><b>Location_formattedLocationLong:</b> Alpharetta, Georgia US\r\r\n</p>, <p><b>State:</b> Georgia\r\r\n</p>, <p><b>Community / Marketing Title:</b> Data Scientist\r\r\n</p>, <p><b>Company Profile:</b>\r\r\n</p>, <p><b>Requisition Number:</b> J00073541\r\r\n</p>, <p><b>EEO Employer Verbiage:</b> </p>, <p>Equifax is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.</p>, <p></p>]
## 310 [<ul><li>\r\r\nPerforms research, analysis, and modeling on organizational data</li><li>\r\r\nAssists in analyzing key metrics and performing data analysis</li><li>\r\r\nBuilds technical knowledge to support research and analytic responsibilities</li><li>\r\r\nLeads in conducting research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business</li><li>\r\r\nDevelops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions</li><li>\r\r\nProvides findings and analysis for use in decision making</li><li>\r\r\nEnsures that the delivered products meet the business needs of the company</li><li>\r\r\nPartners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership</li></ul>, <ul><li>\r\r\nAbility to identify and understand business issues and map these issues into quantitative questions</li><li>\r\r\nEfficiently work with large datasets</li><li>\r\r\nAbility to design and implement model documentation and monitoring protocols</li><li>\r\r\nComprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques</li></ul>, <ul><li>\r\r\nMS Office required</li><li>\r\r\nPython, R, and SAS programming required</li><li>\r\r\nStrong written and verbal presentation skills with an ability to communicate effectively with Senior Management</li><li>\r\r\nAbility to identify and seek needed information/research skills</li><li>\r\r\nAnalytical thinking skills</li><li>\r\r\nAbility to interact collaboratively with internal and external customers</li><li>\r\r\nCapable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure</li><li>\r\r\nProblem/situation analysis</li><li>\r\r\nProvides leadership, coaching, and/or mentoring to Data Scientists I and II</li></ul>, <ul><li>\r\r\nMaster’s Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field required</li></ul>, <ul><li>\r\r\n6+ yrs as a Data Scientist or similiar quantatative field required</li></ul>, <ul><li>\r\r\nNormal office environment</li></ul>]
## 311 [<p><b>Position Description</b></p>, <ul><li>\r\r\nDemonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans</li><li>\r\r\nDevelops analytical models to drive analytics insights</li><li>\r\r\nLeads small and participates in large data analytics project teams</li><li>\r\r\nModels compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity</li><li>\r\r\nParticipates in the continuous improvement of data science and analytics</li><li>\r\r\nPresents data insights and recommendations to key stakeholders</li><li>\r\r\nProvides and supports the implementation of business solutions</li></ul>, <p><b>\r\r\nMinimum Qualifications</b></p>, <ul><li>\r\r\nBachelor of Science and 2 years' data science experience OR Master of Science and 1 years' data science experience.</li></ul>, <p><b>\r\r\nAdditional Preferred Qualifications</b></p>, <ul><li>\r\r\n4 years experience with SQL and relational databases (for example, DB2, Oracle, SQL Server).</li><li>\r\r\n4 years experience with statistical programming languages (for example, SAS, R).</li><li>\r\r\nBachelor's degree in Statistics, Economics, Analytics, Mathematics and 7 years experience in an analytics related field.</li><li>\r\r\nCertificate in business analytics, data mining, or statistical analysis.</li><li>\r\r\nDoctoral degree in Statistics, Economics, Analytics, or Mathematics and 1 year experience in an analytics related field.</li><li>\r\r\nMaster's degree in Statistics, Economics, Analytics, or Mathematics and 3 years experience in an analytics related field.</li></ul>, <p><b>\r\r\nCompany Summary</b></p>, <p><b>Position Summary</b></p>, <ul><li>\r\r\nDemonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans</li><li>\r\r\nDevelops analytical models to drive analytics insights</li><li>\r\r\nLeads small and participates in large data analytics project teams</li><li>\r\r\nModels compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity</li><li>\r\r\nParticipates in the continuous improvement of data science and analytics</li><li>\r\r\nPresents data insights and recommendations to key stakeholders</li><li>\r\r\nProvides and supports the implementation of business solutions</li></ul>]
## 312 [<ul>\r\r\n<li>Develop new insights derived from our existing data that will provide cost-effective solutions to biological questions</li>\r\r\n<li>Propose data collection projects that will pioneer the company's deep analysis of biological systems</li>\r\r\n<li>Build data analysis pipelines (structure, cleaning, processing, output, visualization) that will effectively resolve problems inherent to large, non-standardized data sets.</li>\r\r\n<li>Provide structure or reorganization to unstructured data</li>\r\r\n<li>Present frequently to the company (~once per 3 weeks) regarding deliverables, findings, and scope of future work and the impact to business value</li>\r\r\n</ul>, <ul>\r\r\n<li>M.S. or Ph.D. degree in statistics or a biological science with a strong focus on quantitative analysis</li>\r\r\n<li>Minimum 4 years' experience in data science or computational biology, to include experience with tools in R or Python and database query optimization including SQL and/or NoSQL databases</li>\r\r\n<li>Proven effectiveness in supporting the efforts of an existing data science team and/or initiative in driving business recommendations through data science efforts</li>\r\r\n<li>Examples of projects or other work related to statistical modelling, data mining, or data analysis</li>\r\r\n<li>Experience with manipulating large data sets and complex regression analysis</li>\r\r\n</ul>]
## 313 [<ul><li><div>Statistical modelling, e.g., general linear model, survival models (Cox regression)\r\r\n</div></li><li><div>Hypothesis testing, ideally for product development A/B testing, e.g., ANOVA, t-tests, Chi-Squared, McNemar, non-parametric methods\r\r\n</div></li><li><div>R or Python script writing\r\r\n</div></li><li><div>Understands data pipelines and can support strategic decisions on technology choices\r\r\n</div></li><li><div>RESTful APIs (usage, ability to write them is desirable, but not required)\r\r\n</div></li><li><div>SQL, both DDL, indexing when and why, DML\r\r\n</div></li><li><div>Experience in design and enhancing data models that have been used in production code\r\r\n</div></li><li><div>Visualisation experience to include dashboards, management or customer reports (e.g., Excel, ggplot, Matplotlib, Shiny, D3)\r\r\n </div></li></ul>, <p><i>Reed Exhibitions is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact 1-877-734-1938.</i></p>]
## 314 [<ul><li>Work independently with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>\r\r\nAssess various data sources and utilize data gathering techniques for preparing data for analysis.</li><li>\r\r\nMine and analyze data from company databases and external data sources to drive optimization and improvement of business strategies.</li><li>\r\r\nDevelop custom data models and algorithms to apply to data sets.</li><li>\r\r\nUse predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes.</li><li>\r\r\nCoordinate with different functional teams to implement models and monitor outcomes.</li><li>\r\r\nDevelop processes and tools to monitor and analyze model performance and data accuracy.</li><li>\r\r\nCommunicate discoveries and outcomes to stakeholders.</li><li>\r\r\nDrive acceptance of your solutions and influence decision-makers to use the results of your work.</li><li>\r\r\nUnderstand and anticipate problems, move with speed to solve them and enable your partners to make better decisions more quickly.</li></ul>, <ul><li>Medical/Dental/Vision/Life Insurance</li></ul>, <ul><li>Health Savings Account contributions</li></ul>, <ul><li>Paid holidays plus PTO</li></ul>, <ul><li>401(k) plan & contributions</li></ul>, <ul><li>Professional development & tuition reimbursement opportunities</li><li>\r\r\nA culture that supports work-life balance</li><li>\r\r\nAn environment where collaboration is key</li><li>\r\r\nVolunteer opportunities – on company time</li><li>\r\r\nEnvironmentally conscious business decisions</li><li>\r\r\n10,000+ employees and career opportunities nationwide\r\r\n</li></ul>, <ul><li>Bachelor degree in mathematics, statistics or computer science; Master degree preferred.</li><li>\r\r\nTypically requires 3-5 years of relevant quantitative and qualitive research and analytics experience.</li><li>\r\r\nProficient at scale with statistical analysis, exploratory data mining, and predictive modeling techniques.</li><li>\r\r\nStrong proficiency in applying statistical techniques using a range of software/codebases.</li><li>\r\r\nAbility to communicate complex data theories to technical and non-technical audiences.</li><li>\r\r\nProficiency in statistical analysis, quantitative analytics, forecasting/predictive analytic, and optimization algorithms.</li><li>\r\r\nStrong communication and interpersonal skills with the ability to speak to both business and technical teams as well as clearly translate ideas between them.</li><li>\r\r\nPassionate about data science and analytics and the value that can be created through information exploitation.</li></ul>]
## 315 [<p>(NYSE: WRK) partners with our customers to provide differentiated paper and packaging solutions that help them win in the marketplace. WestRock’s 45,000 team members support customers around the world from more than 300 operating and business locations spanning North America, South America, Europe, Asia and Australia. Learn more at www.westrock.com.</p>, <p><b>Associate Data Scientist</b></p>, <p><b>\r\r\nThe opportunity:\r\r\n</b></p>, <p>As an Associate Data Scientist at WestRock, you will be part of a cross-functional team dedicated to building and delivering innovative products with high impact and visibility within the organization. You will leverage advanced techniques, such as optimization, data mining, statistical analysis and mathematical modeling, to develop solutions that help us operate more efficiently and cost-effectively. You will be expected to engage with our business partners to identify data-driven opportunities and develop corresponding predictive/prescriptive models to solve business problems. You will be responsible for collecting, organizing, analyzing, and then sharing insights gleaned from data.<br/>\r\r\n</p>, <p><b>How you will impact WestRock:\r\r\n</b></p>, <ul><li><div>Works with stakeholders throughout WestRock to identify opportunities for leveraging data to drive business solutions</div></li><li><div>\r\r\nAnalyzes large data sets and use programming languages such as Python, R, IBM SPSS Modeler to develop statistical and optimization models to drive business solutions.\r\r\n</div></li><li><div>Builds large data sets from multiple sources to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets.</div></li><li><div>\r\r\nSetups and deploys models/solutions in a live/production environment.</div></li><li><div>\r\r\nIdentify data needs and requirements for data collection, transformation and integration to support modeling needs</div></li><li><div>\r\r\nPrepare technical reports, presentations, and status briefings to communicate status and results of analysis to other business partners within WestRock.</div></li><li><div>\r\r\nSeeks further knowledge on key developments within data science, technical skill sets, and additional data sources within WestRock.</div></li></ul>, <p><b>\r\r\nWhat you need to succeed:\r\r\n</b></p>, <ul><li><div>The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in Industrial Engineering, Operations Research, Computer Science, Math or related quantitative field with at least two years of experience manipulating data sets and building statistical models.\r\r\n</div></li><li><div>Programming, data mining and machine learning background\r\r\n</div></li><li><div>Analytical and detail oriented with the ability to prioritize, execute and deliver projects on time</div></li><li><div>\r\r\nMust be comfortable with unstructured, fast moving and constantly evolving high growth environment</div></li><li><p>\r\r\nCommitted team player who is proactive and works hard to support those around them.</p></li></ul>, <p>\r\r\nCommitted team player who is proactive and works hard to support those around them.</p>, <p>\r\r\n<b>Preferred Qualifications:</b></p>, <ul><li><div>\r\r\nMaster’s degree in Industrial Engineering, Operations Research, Computer Science, Math or related quantitative field.\r\r\n</div></li><li><div>Experience with machine learning, graph analysis and statistical modeling.</div></li><li><div>\r\r\nProficiency in at least one statistics/data analysis package, such as Spark, Python or R.\r\r\n</div></li><li><div>Proficiency in at least one programming language, such as Python or Java, etc.\r\r\n</div></li><li><div>Experience with Hadoop or other big data tools.\r\r\n</div></li><li><div>Experience with deploying data science solutions in a live, production environment.</div></li><li><div>\r\r\nExperience with optimization solver engines (e.g., CPLEX, GUROBI) a plus</div></li><li><div>\r\r\nExperience with optimization modeling languages (e.g., AMPL, OPL) a plus</div></li><li><p>\r\r\nSolid coding practices including good design documentation, unit testing, and integration testing.\r\r\n </p></li></ul>, <p>\r\r\nSolid coding practices including good design documentation, unit testing, and integration testing.\r\r\n </p>, <p><b>Knowledge, Skills, Abilities and Competencies:</b></p>, <ul><li><div>\r\r\nStrong communication and data presentation skills; ability to communicate with data-driven stories\r\r\n</div></li><li><div>Ability to quickly adapt to new technologies, tools and techniques\r\r\n</div></li><li><div>Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines\r\r\n</div></li><li><p>Ability to work with technical and non-technical team members</p></li></ul>, <p>Ability to work with technical and non-technical team members</p>, <ul><li><div>Corporate culture based on integrity, respect, accountability and excellence.</div></li><li><div>\r\r\nComprehensive training with numerous learning and development opportunities.</div></li><li><div>\r\r\nAn attractive salary reflecting skills, competencies and potential.</div></li><li><div>\r\r\nA career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work.</div></li></ul>]
## 316 [<p>About WestRock (NYSE: WRK) partners with our customers to provide differentiated paper and packaging solutions that help them win in the marketplace. WestRock’s 45,000 team members support customers around the world from more than 300 operating and business locations spanning North America, South America, Europe, Asia and Australia. Learn more at www.westrock.com.</p>, <p>Associate Data Scientist</p>, <p>\r\r\nThe opportunity:\r\r\n</p>, <p>As an Associate Data Scientist at WestRock, you will be part of a cross-functional team dedicated to building and delivering innovative products with high impact and visibility within the organization. You will leverage advanced techniques, such as optimization, data mining, statistical analysis and mathematical modeling, to develop solutions that help us operate more efficiently and cost-effectively. You will be expected to engage with our business partners to identify data-driven opportunities and develop corresponding predictive/prescriptive models to solve business problems. You will be responsible for collecting, organizing, analyzing, and then sharing insights gleaned from data.<br/>\r\r\n</p>, <p>How you will impact WestRock:\r\r\n</p>, <ul><li><div>Works with stakeholders throughout WestRock to identify opportunities for leveraging data to drive business solutions</div></li><li><div>\r\r\nAnalyzes large data sets and use programming languages such as Python, R, IBM SPSS Modeler to develop statistical and optimization models to drive business solutions.\r\r\n</div></li><li><div>Builds large data sets from multiple sources to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets.</div></li><li><div>\r\r\nSetups and deploys models/solutions in a live/production environment.</div></li><li><div>\r\r\nIdentify data needs and requirements for data collection, transformation and integration to support modeling needs</div></li><li><div>\r\r\nPrepare technical reports, presentations, and status briefings to communicate status and results of analysis to other business partners within WestRock.</div></li><li><div>\r\r\nSeeks further knowledge on key developments within data science, technical skill sets, and additional data sources within WestRock.</div></li></ul>, <p>\r\r\nWhat you need to succeed:\r\r\n</p>, <ul><li><div>The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in Industrial Engineering, Operations Research, Computer Science, Math or related quantitative field with at least two years of experience manipulating data sets and building statistical models.\r\r\n</div></li><li><div>Programming, data mining and machine learning background\r\r\n</div></li><li><div>Analytical and detail oriented with the ability to prioritize, execute and deliver projects on time</div></li><li><div>\r\r\nMust be comfortable with unstructured, fast moving and constantly evolving high growth environment</div></li><li><p>\r\r\nCommitted team player who is proactive and works hard to support those around them.</p></li></ul>, <p>\r\r\nCommitted team player who is proactive and works hard to support those around them.</p>, <p>\r\r\n Preferred Qualifications:</p>, <ul><li><div>\r\r\nMaster’s degree in Industrial Engineering, Operations Research, Computer Science, Math or related quantitative field.\r\r\n</div></li><li><div>Experience with machine learning, graph analysis and statistical modeling.</div></li><li><div>\r\r\nProficiency in at least one statistics/data analysis package, such as Spark, Python or R.\r\r\n</div></li><li><div>Proficiency in at least one programming language, such as Python or Java, etc.\r\r\n</div></li><li><div>Experience with Hadoop or other big data tools.\r\r\n</div></li><li><div>Experience with deploying data science solutions in a live, production environment.</div></li><li><div>\r\r\nExperience with optimization solver engines (e.g., CPLEX, GUROBI) a plus</div></li><li><div>\r\r\nExperience with optimization modeling languages (e.g., AMPL, OPL) a plus</div></li><li><p>\r\r\nSolid coding practices including good design documentation, unit testing, and integration testing.\r\r\n </p></li></ul>, <p>\r\r\nSolid coding practices including good design documentation, unit testing, and integration testing.\r\r\n </p>, <p>Knowledge, Skills, Abilities and Competencies:</p>, <ul><li><div>\r\r\nStrong communication and data presentation skills; ability to communicate with data-driven stories\r\r\n</div></li><li><div>Ability to quickly adapt to new technologies, tools and techniques\r\r\n</div></li><li><div>Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines\r\r\n</div></li><li><p>Ability to work with technical and non-technical team members</p></li></ul>, <p>Ability to work with technical and non-technical team members</p>, <ul><li><div>Corporate culture based on integrity, respect, accountability and excellence.</div></li><li><div>\r\r\nComprehensive training with numerous learning and development opportunities.</div></li><li><div>\r\r\nAn attractive salary reflecting skills, competencies and potential.</div></li><li><div>\r\r\nA career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work.</div></li></ul>]
## 317 [<p>To apply -> https://workforcenow.adp.com/jobs/apply/posting.html?client=shipbob&ccId=19000101_000001&type=MP&lang=en_US</p>, <p><b>Who We Are</b></p>, <p>Launched in 2014, ShipBob is a tech-enabled fulfillment and logistics solution for growing e-commerce companies. Our goal is to alleviate the daily stress associated with picking, packaging and shipping products so business owners can focus on more important aspects of their brand. Through our software and operations arm, we are on a mission to help businesses be successful online.</p>, <p>We pride ourselves on our inclusive and richly diverse company culture. All voices are heard regardless of tenure or job title. We are looking for creative problem solvers with a strong work ethic and ability to persevere.</p>, <p><b>What You'll Do:</b></p>, <ul><li>Clearly scope out requirements for data science projects and collect, clean, and run models on data</li>\r\r\n<li>Research potential algorithms to use for data science projects</li>\r\r\n<li>Working closely with developers to map out database models and determine implementation of algorithms</li>\r\r\n<li>Sample projects include forecasting of order volumes, creating efficient intra warehouse operations and customer satisfaction prediction.</li>\r\r\n</ul>, <p><b>Who You Are:\r\r\n</b></p>, <p><b>Required:</b></p>, <ul><li>~1-2 years of industry experience</li>\r\r\n<li>Advanced knowledge of Python or R</li>\r\r\n<li>Knowledge of building time series, spatial, or financial forecasting models for prediction</li>\r\r\n<li>Familiarity with any or all of the following:</li>\r\r\n<li>Machine Learning/Forecasting</li>\r\r\n<li>Bayesian inference</li>\r\r\n<li>Random forest and decision tree models</li>\r\r\n<li>Master's Degree in Computer Science, Analytics, Operations Research, Statistics, or related field.</li>\r\r\n<li>Hard working, detail oriented, and passionate about helping small businesses compete online.</li>\r\r\n<li>Creative problem solver, ability to handle multiple projects, and strong work ethic needed</li>\r\r\n</ul>, <p><b>Preferred:</b></p>, <ul><li>Previous experience in an eCommerce or Logistics/Supply Chain management environments</li>\r\r\n<li>Azure Machine Learning Studio or comfortable working in cloud hosted environments (AWS, Google Cloud, etc)</li>\r\r\n<li>Active Kaggle user</li>\r\r\n<li>Strong statistical analysis background</li></ul>]
## 318 [<p><b>Data Scientist - 23258</b></p>, <p>\r\r\nData Science - USA Tampa, Florida</p>, <p><b>\r\r\nThe Nielsen Company is the largest global measurement company in the world with unique measurement technologies, assets, and data that make it one of the most interesting and challenging places for a measurement or data scientist to work. We focus on what consumers watch, listen to, and buy in over 95 countries.</b></p>, <p><b>\r\r\nData Science is core to what Nielsen does, and our research projects have high visibility in directly impacting the results of our business and our clients. This position is in the Behavioral Methods team within Nielsen’s Global Data Science organization. The Behavioral Methods team provides leadership and expertise across The Nielsen Company to develop innovative, statistically sound, and cost effective research methodologies in support of the strategic business initiatives. We play a pivotal role in designing best practices and approaches for data collection, respondent recruitment, and panelist retention.<br/>\r\r\n</b></p>, <p><b>Job Purpose:</b></p>, <p><b>\r\r\nResponsible for analyzing data and supporting the development of methodologies that will improve existing products or deliver new products to clients. Give input on test plan and analysis approach. Must be able to run all aspects of data validation. Will conduct data reviews with cross-functional teams. These products are associated with television, audio and mobile device measurement.</b></p>, <p><b>\r\r\nResponsibilities:</b></p>, <ul><li><p><b>\r\r\nGive input and write test plans associated with the delivery of new client offerings. Attend team meetings and provide input on rules and edits associated with the processing of client data.\r\r\n</b></p></li><li><p><b>Complete all aspects of data analysis as defined in the test plan. Share data cross-functionally throughout the data validation period. Where required, provide data summaries and documentation for external client review and Ernst and Young auditing review.</b></p></li><li><p><b>\r\r\nProvide recommendations and reasoning for enhancements to core business products.\r\r\n</b></p></li><li><p><b>Demonstrate proficiency using Python software and automate daily reporting of data throughout the data validation period.</b></p></li><li><p><b>\r\r\nAttend team meetings and provide status throughout the course of product development. Work closely with engineering and operations personnel to define business and system requirements.</b></p></li><li><p><b>\r\r\nLead frequent data reviews with other Data Science teams to ensure that data validation has been thoroughly performed.</b></p></li><li><p><b>\r\r\nExpand core competencies associated with statistical analysis and visualization of data results.</b></p></li><li><p><b>\r\r\nRoutinely create white papers outlining data validation outcomes and recommendations that will be shared with senior leaders in Data Science and Engineering.</b></p></li></ul>, <p><b>\r\r\nGive input and write test plans associated with the delivery of new client offerings. Attend team meetings and provide input on rules and edits associated with the processing of client data.\r\r\n</b></p>, <p><b>Complete all aspects of data analysis as defined in the test plan. Share data cross-functionally throughout the data validation period. Where required, provide data summaries and documentation for external client review and Ernst and Young auditing review.</b></p>, <p><b>\r\r\nProvide recommendations and reasoning for enhancements to core business products.\r\r\n</b></p>, <p><b>Demonstrate proficiency using Python software and automate daily reporting of data throughout the data validation period.</b></p>, <p><b>\r\r\nAttend team meetings and provide status throughout the course of product development. Work closely with engineering and operations personnel to define business and system requirements.</b></p>, <p><b>\r\r\nLead frequent data reviews with other Data Science teams to ensure that data validation has been thoroughly performed.</b></p>, <p><b>\r\r\nExpand core competencies associated with statistical analysis and visualization of data results.</b></p>, <p><b>\r\r\nRoutinely create white papers outlining data validation outcomes and recommendations that will be shared with senior leaders in Data Science and Engineering.</b></p>, <p><b>\r\r\nRequired Qualification:</b></p>, <ul><li><p><b>\r\r\nBA/BS degree in statistics or mathematics.</b></p></li><li><p><b>\r\r\nStrong quantitative analysis skills using statistical software such as Python or R.</b></p></li><li><p><b>\r\r\nWorking knowledge of Structured Query Language. (SQL)</b></p></li><li><p><b>\r\r\nExperience working with databases and large data sets.</b></p></li><li><p><b>\r\r\nExtensive knowledge of statistical methodologies including hypothesis testing, linear regression, modeling, simulation and analysis of variance.</b></p></li><li><p><b>\r\r\nProficient knowledge in project management required including ability to prioritize and manage multiple projects.</b></p></li><li><p><b>\r\r\nHigh motivation with demonstrated capacity to work on multiple projects with set deadlines, under pressure.</b></p></li><li><p><b>\r\r\nCollaborative team player with willingness and desire to work with cross-functional teams of varying sizes.</b></p></li><li><p><b>\r\r\nCreative aptitude and ability and desire to explore opportunities for new research innovations.\r\r\n</b></p></li><li><p><b>Excellent oral and written communication skills required for presenting to and collaborating with groups of diverse backgrounds.</b></p></li><li><p><b>\r\r\nAbility to explain complex research concepts to individuals without a research background.</b></p></li><li><p><b>\r\r\nExtensive knowledge of Microsoft Office and Google Suite applications (Docs, Sheets, Slides, Excel, and Powerpoint)</b></p></li></ul>, <p><b>\r\r\nBA/BS degree in statistics or mathematics.</b></p>, <p><b>\r\r\nStrong quantitative analysis skills using statistical software such as Python or R.</b></p>, <p><b>\r\r\nWorking knowledge of Structured Query Language. (SQL)</b></p>, <p><b>\r\r\nExperience working with databases and large data sets.</b></p>, <p><b>\r\r\nExtensive knowledge of statistical methodologies including hypothesis testing, linear regression, modeling, simulation and analysis of variance.</b></p>, <p><b>\r\r\nProficient knowledge in project management required including ability to prioritize and manage multiple projects.</b></p>, <p><b>\r\r\nHigh motivation with demonstrated capacity to work on multiple projects with set deadlines, under pressure.</b></p>, <p><b>\r\r\nCollaborative team player with willingness and desire to work with cross-functional teams of varying sizes.</b></p>, <p><b>\r\r\nCreative aptitude and ability and desire to explore opportunities for new research innovations.\r\r\n</b></p>, <p><b>Excellent oral and written communication skills required for presenting to and collaborating with groups of diverse backgrounds.</b></p>, <p><b>\r\r\nAbility to explain complex research concepts to individuals without a research background.</b></p>, <p><b>\r\r\nExtensive knowledge of Microsoft Office and Google Suite applications (Docs, Sheets, Slides, Excel, and Powerpoint)</b></p>, <p><b>\r\r\nDesired Qualification:</b></p>, <ul><li><p><b>\r\r\nMBA/MS or higher in a statistical, mathematical or technical field.</b></p></li><li><p><b>\r\r\nInternship or employment experience associated with statistical data analysis associated with media/market research.</b></p></li><li><p><b>\r\r\nKnowledge of large-scale, complex multi-stage surveys in Market Research or Government setting.</b></p></li></ul>, <p><b>\r\r\nMBA/MS or higher in a statistical, mathematical or technical field.</b></p>, <p><b>\r\r\nInternship or employment experience associated with statistical data analysis associated with media/market research.</b></p>, <p><b>\r\r\nKnowledge of large-scale, complex multi-stage surveys in Market Research or Government setting.</b></p>, <p><b>\r\r\n#LI-US</b></p>, <p><b>\r\r\nAbout Nielsen:</b></p>, <p>\r\r\nNielsen N.V. (NYSE: NLSN) is a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy. Nielsen’s Watch segment provides media and advertising clients with Total Audience measurement services across all devices where content — video, audio, and text — is consumed. The Buy segment offers consumer packaged goods manufacturers and retailers the industry’s only global view of retail performance measurement.</p>, <p>\r\r\nBy integrating information from its Watch and Buy segments and other data sources, Nielsen provides its clients with both world-class measurement as well as analytics that help improve performance. Nielsen, an S&P 500 company, has operations in over 100 countries that cover more than 90 percent of the world’s population. For more information, visit www.nielsen.com</p>, <p><i>\r\r\nNielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.</i></p>, <p><b>\r\r\nJob Type:</b> Regular</p>, <p><b>\r\r\nPrimary Location</b>: Tampa,Florida</p>, <p><b>\r\r\nSecondary Locations: </b>, , ,</p>, <p><b>\r\r\nTravel:</b> Yes, 10% of the Time</p>]
## 319 [<ul><li>Work independently with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>\r\r\nAssess various data sources and utilize data gathering techniques for preparing data for analysis.</li><li>\r\r\nMine and analyze data from company databases and external data sources to drive optimization and improvement of business strategies.</li><li>\r\r\nDevelop custom data models and algorithms to apply to data sets.</li><li>\r\r\nUse predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes.</li><li>\r\r\nCoordinate with different functional teams to implement models and monitor outcomes.</li><li>\r\r\nDevelop processes and tools to monitor and analyze model performance and data accuracy.</li><li>\r\r\nCommunicate discoveries and outcomes to stakeholders.</li><li>\r\r\nDrive acceptance of your solutions and influence decision-makers to use the results of your work.</li><li>\r\r\nUnderstand and anticipate problems, move with speed to solve them and enable your partners to make better decisions more quickly.</li></ul>, <ul><li>Medical/Dental/Vision/Life Insurance</li></ul>, <ul><li>Health Savings Account contributions</li></ul>, <ul><li>Paid holidays plus PTO</li></ul>, <ul><li>401(k) plan & contributions</li></ul>, <ul><li>Professional development & tuition reimbursement opportunities</li><li>\r\r\nA culture that supports work-life balance</li><li>\r\r\nAn environment where collaboration is key</li><li>\r\r\nVolunteer opportunities – on company time</li><li>\r\r\nEnvironmentally conscious business decisions</li><li>\r\r\n10,000+ employees and career opportunities nationwide\r\r\n</li></ul>, <ul><li>Bachelor degree in mathematics, statistics or computer science; Master degree preferred.</li><li>\r\r\nTypically requires 3-5 years of relevant quantitative and qualitive research and analytics experience.</li><li>\r\r\nProficient at scale with statistical analysis, exploratory data mining, and predictive modeling techniques.</li><li>\r\r\nStrong proficiency in applying statistical techniques using a range of software/codebases.</li><li>\r\r\nAbility to communicate complex data theories to technical and non-technical audiences.</li><li>\r\r\nProficiency in statistical analysis, quantitative analytics, forecasting/predictive analytic, and optimization algorithms.</li><li>\r\r\nStrong communication and interpersonal skills with the ability to speak to both business and technical teams as well as clearly translate ideas between them.</li><li>\r\r\nPassionate about data science and analytics and the value that can be created through information exploitation.</li></ul>]
## 320 [<ul><li><p>Clean and organize raw data from different sources.</p></li><li><p>\r\r\nUse descriptive statistics to summarize the overall picture.</p></li><li><p>\r\r\nCollect, organize, analyze, and present data for possible quality, test, manufacturing problems or trends to answer key questions.</p></li><li><p>\r\r\nVisualization of data analysis and derivation of recommended actions.</p></li><li><p>\r\r\nCreation/use of Machine learning models for predictions.</p></li><li><p>\r\r\nTesting and improving the performance of machine learning tools.</p></li><li><p>\r\r\nSystematic development and usage of statistical algorithms for the analysis of high-dimensional big data.</p></li><li><p>\r\r\nEvaluation of statistical models, determination of validity of the analysis.</p></li><li><p>\r\r\nAssist in the creation and maintenance of data collection and reporting procedures and systems to insure the validity of the data used for decisions.</p></li><li><p>\r\r\nSupport problem-solving teams with data analysis for quality improvements, cost reductions, and cycle time reductions.</p></li><li><p>\r\r\nCo-development of data analysis on an existing analytics platform.</p></li><li><p>\r\r\nProcess and implement changes in accordance with quality standards.</p></li><li><p>\r\r\nSupport product teams, CIP activities and Policy Deployment objectives.</p></li><li><p>\r\r\nTranslation of business needs into data-driven, technical solutions.</p></li></ul>, <p>Clean and organize raw data from different sources.</p>, <p>\r\r\nUse descriptive statistics to summarize the overall picture.</p>, <p>\r\r\nCollect, organize, analyze, and present data for possible quality, test, manufacturing problems or trends to answer key questions.</p>, <p>\r\r\nVisualization of data analysis and derivation of recommended actions.</p>, <p>\r\r\nCreation/use of Machine learning models for predictions.</p>, <p>\r\r\nTesting and improving the performance of machine learning tools.</p>, <p>\r\r\nSystematic development and usage of statistical algorithms for the analysis of high-dimensional big data.</p>, <p>\r\r\nEvaluation of statistical models, determination of validity of the analysis.</p>, <p>\r\r\nAssist in the creation and maintenance of data collection and reporting procedures and systems to insure the validity of the data used for decisions.</p>, <p>\r\r\nSupport problem-solving teams with data analysis for quality improvements, cost reductions, and cycle time reductions.</p>, <p>\r\r\nCo-development of data analysis on an existing analytics platform.</p>, <p>\r\r\nProcess and implement changes in accordance with quality standards.</p>, <p>\r\r\nSupport product teams, CIP activities and Policy Deployment objectives.</p>, <p>\r\r\nTranslation of business needs into data-driven, technical solutions.</p>, <ul><li>4 yr. Degree (Computer Science or Computer Engineering) and 2 years’ experience as data scientist.</li><li>\r\r\nKnowledge in data analysis, statistics data mining, machine learning, visual analysis of big data.</li><li>\r\r\nKnowledge in machine learning models for predictions.</li><li>\r\r\nKnowledge in statistical algorithms.</li></ul>, <p>By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.</p>, <p>\r\r\nBOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives</p>, <ul><li><p>\r\r\nFIRST Robotics (For Inspiration and Recognition of Science and Technology)</p></li><li><p>\r\r\nAWIM (A World In Motion)</p></li></ul>, <p>\r\r\nFIRST Robotics (For Inspiration and Recognition of Science and Technology)</p>, <p>\r\r\nAWIM (A World In Motion)</p>]
## 321 [<p>Xylem (XYL) is a leading global water technology company committed to developing innovative technology solutions to the world’s water challenges. The Company’s products and services move, treat, analyze, monitor and return water to the environment in public utility, industrial, residential and commercial building services settings. Xylem also provides a leading portfolio of smart metering, network technologies and advanced infrastructure analytics solutions for water, electric and gas utilities. The Company’s more than 16,500 employees bring broad applications expertise with a strong focus on identifying comprehensive, sustainable solutions. Headquartered in Rye Brook, New York with 2017 revenue of $4.7 billion, Xylem does business in more than 150 countries through a number of market-leading product brands.</p>, <p>\r\r\nThe name Xylem is derived from classical Greek and is the tissue that transports water in plants, highlighting the engineering efficiency of our water-centric business by linking it with the best water transportation of all – that which occurs in nature. For more information, please visit us at www.xylem.com.</p>, <p><b>\r\r\nThe Role: </b>Xylem seeks to hire a New Graduate Data Scientist with a desire to join a team delivering Big Data applications in the Cloud. We’re focused on helping utility companies visualize and make use of the petabytes of data coming in from their smart meters so they can lower costs and reduce consumption. This is a market poised for explosive growth and this team is ready to take advantage of it.</p>, <p><b>\r\r\nFunctions:</b></p>, <ul><li>\r\r\nData curation</li><li>\r\r\nDevelop statistical modeling techniques for pattern recognition problems.</li><li>\r\r\nDevelop code in R, Java, Python, or other languages for statistical analysis, optimization, and simulation.</li><li>\r\r\nBuild models that maximize performance and accuracy.</li><li>\r\r\nStrategic planning and project management.</li></ul>, <p><b>\r\r\nRequirements:</b></p>, <ul><li>\r\r\nBS Degree (Master’s preferred) Statistics, Machine Learning, Operations Research, Applied Math; or equivalent.</li><li>\r\r\n0 – 3 years of data science experience.</li><li>\r\r\nExperience with statistical and mathematical software</li><li>\r\r\nProven ability to develop system prototypes.</li><li>\r\r\nSQL skills</li><li>\r\r\nExcellent oral and written communication skills.</li><li>\r\r\nStrong documentation skills.</li><li>\r\r\nUnderstanding of machine learning techniques and the ability to invent.</li><li>\r\r\nBig data experience- Hadoop, Spark, Map-reduce, Hive, etc.</li><li>\r\r\nExperience with Agile methodology or similar lean startup approach to building software.</li></ul>, <p><b>\r\r\nDesired:</b></p>, <ul><li>\r\r\nExperience with time series or signal processing analytics.</li></ul>, <p><b>\r\r\nPhysical Demands:</b></p>, <p>\r\r\n(The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)</p>, <ul><li>\r\r\nLight lifting (20-25 lbs.), office environment</li><li>\r\r\nRegularly required to sit or stand, reach, bend and move about the facility</li></ul>, <p><b>\r\r\nWork Environment:</b></p>, <p>\r\r\n(The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)</p>, <ul><li>\r\r\nOffice: Standard office equipment; work usually performed in an office setting free from any disagreeable elements.</li><li>\r\r\nStandard weekly job hours: 40 hours</li><li>\r\r\nTravel: <25% travel required to fulfill the duties listed above. Other travel as needed or required by the company.</li></ul>, <p><b>\r\r\nEOE including disability and veteran</b></p>]
## 322 [<ul>\r\r\n<li>Statistical Modeling</li>\r\r\n<li>Machine Learning</li>\r\r\n<li>Predictive Analytics</li>\r\r\n<li>Data Visualizations</li>\r\r\n</ul>, <ul>\r\r\n<li>Applied statistics and probability</li>\r\r\n<li>Machine learning algorithms and processes</li>\r\r\n<li>Feature engineering and refinement</li>\r\r\n<li>Investigation of public data sources</li>\r\r\n<li>Systems for large-scale, automated data collection and analysis</li>\r\r\n<li>Application usage analysis</li>\r\r\n<li>Predictive analytics</li>\r\r\n<li>Tools for structured data storage and retrieval</li>\r\r\n<li>Data storage and analysis tools: e.g. SQL, Solr, Spark</li>\r\r\n</ul>]
## 323 [<ul><li>Data science is a dynamic and evolving profession – we’re looking for people who love to learn and find unique solutions without being micro-managed: you’ll have the freedom to try new things, test solutions and technologies, and tell us when there’s a better path.</li><li>\r\r\nYou know your way around a cloud console and have handled some pretty large volumes of data.</li><li>\r\r\nYou are familiar with a few machine learning frameworks, like TensorFlow or PyTorch.\r\r\n</li><li>Maybe you have used enterprise products in the past for high throughput data ingestion and analysis.</li><li>\r\r\nUltimately, we need someone who knows their way around data modeling, information extraction, time series forecasting, machine learning algorithms, statistical analysis, or applied mathematics. We realize that data scientists are a diverse breed and we are excited to hear how your unique combination of skills might apply to our current problem sets.</li></ul>]
## 324 [<p>Location: Akron, OH<br/>\r\r\nSponsorship Available: No<br/>\r\r\nRelocation Assistance Available: Yes</p>, <p><b>\r\r\nPosition Description:</b></p>, <p>\r\r\nAre you interested in an exciting opportunity to drive success with data? The Data Science & Analytics group at the Goodyear Innovation Center in Akron, Ohio does just that. Since its inception, the group’s project portfolio continues to grow and includes areas of business, tire manufacturing, operations, and technology. The people in our Data Science group come from a broad range of backgrounds: Mathematics; Statistics; Cognitive Linguistics; Astrophysics; Biology; Computer Science; Mechanical, Electrical, Chemical, and Industrial Engineering; and of course - Data Science. This diverse group works together to develop innovative tools and methods for simulating, modeling and analyzing complex processes throughout our company. If you like deriving insight from variability and complexity, then you will enjoy the challenge of working in this team.</p>, <p><b>\r\r\nPrincipal Responsibilities</b>:</p>, <p>\r\r\nWe think you’ll be excited about having opportunities to:</p>, <ul><li>\r\r\nDevelop an understanding of the business, technology, manufacturing processes, and Data Science-related topics such as data systems (data sources, data gathering, data storage) and business analytics (business reporting procedures and KPIs)</li><li>\r\r\nIndependently perform Data Science tasks (including data exploration, cleaning, factor generation/selection, and data visualization) to support large-scale Data Science initiatives in our global team</li><li>\r\r\nWork closely with other data scientists to scale-up data solutions across diverse business and manufacturing applications</li><li>\r\r\nShare and present your ideas and successes with IT professionals and business stakeholders throughout the company.</li><li>\r\r\nHave an impact by helping us drive “best data practices” within the global organization<br/>\r\r\n<p><b>\r\r\nRequired Experience and Education:</b></p><p>\r\r\nMaster’s Degree in Data Science (or similar specialty) OR Bachelor's Degree in related field and 3+ years related practical experience.</p></li></ul>, <p><b>\r\r\nRequired Experience and Education:</b></p>, <p>\r\r\nMaster’s Degree in Data Science (or similar specialty) OR Bachelor's Degree in related field and 3+ years related practical experience.</p>, <ul><li>\r\r\nPractical experience in:</li><li>\r\r\nData science</li><li>\r\r\nBusiness analytics</li><li>\r\r\nDiscrete event simulations</li><li>\r\r\nOperations research</li></ul>, <p>\r\r\nPh.D. in Data Science, Computer Science or similar technical field is desired.</p>, <p><b>\r\r\nPersonal Skills/Attributes/and Qualifications:</b></p>, <p>\r\r\nDemonstrated knowledge in several subjects, in each of the following areas:</p>, <ul><li>\r\r\nApplied Mathematics (linear algebra, graph theory, optimization, stochastic and dynamic programming)</li><li>\r\r\nAdvanced Statistics (Bayesian inference, uncertainty quantification)</li><li>\r\r\nComputer Science (machine learning, data architecture, data management, programming, “big data” technologies)</li></ul>, <p>\r\r\nDemonstrated experience with:</p>, <ul><li>\r\r\nCloud platform technology (AWS or MS Azure)</li><li>\r\r\nData Science tools (e.g. Python, R, Java/Scala, Domino, Docker, Kubernetes)</li></ul>, <p><i>\r\r\nStrong communication skills</i>: capable of conveying information concisely to diverse audiences; experience with communicating the dynamics of complex systems in a concise and clear manner. Knowledge of foreign languages is helpful.<br/>\r\r\n</p>, <p><i>\r\r\nGood teamwork skills</i>: ability to network across a global organization; ability to convince and lead; active listening skills; ability to prioritize and follow through; ability to communicate and agree on expectations; ability to work in a team environment and deliver results on time. We also value a good sense of humor!</p>, <p>\r\r\nGoodyear is one of the world’s largest tire companies. It employs about 64,000 people and manufactures its products in 48 facilities in 22 countries around the world. Its two Innovation Centers in Akron, Ohio and Colmar-Berg, Luxembourg strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate.</p>, <p>\r\r\nGoodyear is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.</p>, <p>\r\r\nIf you need reasonable accommodation to complete the online application, or any other part of the employment process, please contact the Goodyear Candidate Care Line at 330.796.4500.</p>, <p>\r\r\nClick here for more information about Equal Employment Opportunity laws, and here for additional supplementary information.</p>]
## 325 [<p>We are seeking a highly motivated individual who will support the digital transformation of Amgen Operations by leveraging advanced analytics to characterize business performance in Operations, evaluate potential opportunities, and enable step change in business performance. The ideal candidate will be an outstanding leader who can leverage his/her quantitative expertise to challenge the status quo, drive automation and continuous improvement, and embed digital ways of working in Operations. The role will be responsible for providing analytical support and enabling data-driven decision making that will build foundational capability to provide end-to-end visibility into business processes and build advanced analytics solutions to drive value.</p>, <p>\r\r\nIn addition to focusing on solving traditional and big data problems, this role will be support our Data Management and Governance programs, Data Architecture and Modeling, and the overall data footprint. This role will interact with a wide range of business leaders to understand processes, analyze data, and present findings.</p>, <p>\r\r\nJob Responsibilities:</p>, <ul><li>\r\r\nDrive cross functional analytics projects from beginning to end: from building relationships with key business leaders to collecting and analyzing data, as well as summarize and present key insights in support of decision making to help evaluate strategic options that support data and analytics transformation</li><li>\r\r\nUse analytics tools and scientific rigor to produce actionable insights</li><li>\r\r\nBuild a wide-range of innovative data and analytics solutions, from descriptive to machine learning based (including real-time visualization tools that leverage Big Data platforms with real-time data ingestion and processing)</li><li>\r\r\nCollaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize analytics solutions across Operations</li><li>\r\r\nPartner with business to share data best practices and support business / IS led implementation</li><li>\r\r\nAssist in developing business cases and strategic recommendations</li><li>\r\r\nInteract with various finance groups including functional FP and A to understand impact to budget/long range plans</li><li>\r\r\nProvide support in developing executive communications and present analysis and insights to Amgen’s senior leadership</li><li>\r\r\nPerform ad hoc analysis and support special projects</li></ul>, <p><b>Basic Qualifications:</b></p>, <p>\r\r\nDoctorate degree</p>, <p>\r\r\nOR</p>, <p>\r\r\nMaster’s degree and 3 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience</p>, <p>\r\r\nOR</p>, <p>\r\r\nBachelor’s degree and 5 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience</p>, <p>\r\r\nOR</p>, <p>\r\r\nAssociate’s degree and 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience</p>, <p>\r\r\nOR</p>, <p>\r\r\nHigh school diploma / GED and 12 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience</p>, <p><b>\r\r\nPreferred Qualifications:</b></p>, <ul><li>\r\r\nMaster’s degree in data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field and 3 years of relevant experience in developing advanced analytics algorithms and analyzing data specifically in Operations (BioPharma Operations a plus)</li><li>\r\r\nUnderstanding of / experience in Operations, including Supply Chain, Manufacturing, Engineering, etc.</li><li>\r\r\nStatistical or mathematical modeling experience</li><li>\r\r\nAbility to work with unstructured data sets and harmonize complex Operations data</li><li>\r\r\nFamiliarity with common Operations systems, such as SAP, Rapid Response, MES, LIMS, etc.</li><li>\r\r\nFamiliarity with advanced analytics tool sets, such as R, Python, SQL, Alteryx, etc.</li><li>\r\r\nExperience processing, filtering, and presenting large quantities of data stored in data warehouse or data lake repositories and data extracted directly from the source systems</li><li>\r\r\nExperience with data visualization tools or packages, such as Tableau or Spotfire</li><li>\r\r\nExperience working on a cloud platform (e.g., AWS, Azure, etc.) is a plus</li><li>\r\r\nFamiliarity using Dev Ops technologies</li><li>\r\r\nAbility to communicate and collaborate cross-functionally in an organization</li><li>\r\r\nEnergetic, detailed oriented, highly motivated with a “can do” outlook</li><li>\r\r\nProven ability to work effectively in ambiguous situations</li><li>\r\r\nAbility to manage multiple projects concurrently</li></ul>, <p>Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.</p>, <p>\r\r\nAmgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people’s lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world’s leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.</p>, <p><b><i>\r\r\nAmgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.<br/>\r\r\n</i></b></p>]
## 326 [<ul><li>Execute the full cycle of analytics projects, including:<ul><li>\r\r\nData discovery, data preparation and blending, and data visualization</li><li>\r\r\nUtilize software tools such as Microsoft SQL Server, Alteryx Designer and Microsoft PowerBI</li><li>\r\r\nResearch and develop statistical learning models for data analysis</li><li>\r\r\nOperationalize common models such as:\r\r\n<ul><li>SVMs</li><li>\r\r\nNaïve-Bayes Classifiers\r\r\n</li><li>Logistic and Linear Regressions</li><li>\r\r\nK Means Clustering\r\r\n</li><li>Random Forest Classifier</li></ul></li></ul></li><li>\r\r\nCollaborate with business partners and data engineers to understand company needs and devise possible solutions</li><li>\r\r\nBuild and maintain effective and collaborative relationships with a diverse range of staff</li><li>\r\r\nPerform other duties and responsibilities as required or assigned</li></ul>, <ul><li>\r\r\nData discovery, data preparation and blending, and data visualization</li><li>\r\r\nUtilize software tools such as Microsoft SQL Server, Alteryx Designer and Microsoft PowerBI</li><li>\r\r\nResearch and develop statistical learning models for data analysis</li><li>\r\r\nOperationalize common models such as:\r\r\n<ul><li>SVMs</li><li>\r\r\nNaïve-Bayes Classifiers\r\r\n</li><li>Logistic and Linear Regressions</li><li>\r\r\nK Means Clustering\r\r\n</li><li>Random Forest Classifier</li></ul></li></ul>, <ul><li>SVMs</li><li>\r\r\nNaïve-Bayes Classifiers\r\r\n</li><li>Logistic and Linear Regressions</li><li>\r\r\nK Means Clustering\r\r\n</li><li>Random Forest Classifier</li></ul>, <ul><li>Bachelors of Data Analytics, Computer Science, Information Technology or similar degree program</li><li>\r\r\nRequires 5+ years’ practical experience with ETL, data processing, database programing, and Analytics</li><li>\r\r\nExtensive background in data mining and statistical analysis</li><li>\r\r\nAble to understand various data structures and modeling techniques</li><li>\r\r\nExcellent pattering recognition and predictive modeling skills</li><li>\r\r\nExperience with programming languages such as R / Python</li></ul>, <ul><li>Passionate about data and analytics</li><li>\r\r\nHigh attention to data accuracy</li><li>\r\r\nAbility to work in an agile team</li><li>\r\r\nCritical thinking to ask questions, determine best course and offer solutions</li><li>\r\r\nComplete work independently</li><li>\r\r\nAct as a change agent</li><li>\r\r\nContinuous improvement mindset</li><li>\r\r\nAbility to understand the big picture</li><li>\r\r\nEffective analytical and decision-making skills</li><li>\r\r\nStrong interpersonal skills to build relationships and communicate effectively with managers, staff, and vendors</li><li>\r\r\nStrong written and verbal communication skills</li><li>\r\r\nTeamwork skills within the department and on project teams</li><li>\r\r\nDemonstrated ability to work effectively in a fast-paced, complex, and dynamic business environment</li><li>\r\r\nEffectively provide open and honest feedback via performance reviews and 1-1 conversation</li></ul>, <ul><li>Working with an energetic team focused on making our members wildly successful</li><li>\r\r\nAn opportunity to work with others that have your back every step of the way</li><li>\r\r\nOpportunities to make a difference both inside and outside of our walls</li><li>\r\r\nBeing treated like you are more than the work you do.</li></ul>]
## 327 [<p>Ecolab’s QSR division is seeking a business focused RD&E Data Scientist to unlock the value in data assets while creating new and unique offerings for customers in the quick serve market. In this role, you will work with the business innovation teams, marketing, sales and customer’s along with expertise from Ecolab’s Center for Advanced Analytics, to help develop the data strategy and advanced analytics pipeline for the QSR business.</p>, <p><b>\r\r\nWhat you will do:</b></p>, <ul><li>\r\r\nActively engage with internal business teams to understand QSR challenges and deliver robust, data driven solutions.</li><li>\r\r\nWork alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools.</li><li>\r\r\nBe encouraged and expected to innovate and be creative in your data analysis, problem solving and presentation of solutions.</li><li>\r\r\nNetwork and collaborate with a broad range of internal business units to define and deliver joint solutions.</li><li>\r\r\nWork alongside QSR customers to leverage cutting edge technology (machine learning, streaming analytics and ‘real’ big data) to creatively solve problems and disrupt existing business models.</li></ul>, <p><b>\r\r\nIn this role, we are looking for:</b></p>, <ul><li>\r\r\nA problem-solving mindset with the ability to understand business challenges and how to apply your analytics expertise to solve them.</li><li>\r\r\nThe unique person who can present complex mathematical solutions in a simple manner that most will understand including customers.</li><li>\r\r\nAn individual excited by innovation and new technology and eager to finds ways to employ these innovations in practice.</li><li>\r\r\nA team mentality, empowered by the ability to work with a diverse set of individuals.</li></ul>, <p><b>\r\r\nMinimum Qualifications:</b></p>, <ul><li>\r\r\nA Bachelor’s degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on analytics.</li><li>\r\r\n6+ Years professional experience in a data scientist/analyst role</li><li>\r\r\nProficiency in your statistics/analytics/visualization tool of choice, but preferably in the Microsoft Azure Suite, including Azure ML Studio and PowerBI as well as R, Python, SQL.</li></ul>, <p><b>\r\r\nPreferred Qualifications</b></p>, <ul><li>\r\r\nExcellent communication, organizational transformation, and leadership skills</li><li>\r\r\nDemonstrated excellence in Data Science, Business Analytics and Engineering</li></ul>]
## 328 [<p><b>Position Description</b></p>, <ul><li>\r\r\nA Staff Data Scientist is responsible for analyzing large data sets to develop multiple custom models and algorithms to drive innovative business solutions. Staff Data Scientists work on large project teams in order to provide analytical support and guidance to an assigned area on for large projects (for example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce. Staff Data Scientists are responsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Staff Data Scientists are responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results. Staff Data Scientists are responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned project. Staff Data Scientists are the subject matter experts for statistical analysis and modeling for their project team.</li><li>\r\r\nBuild complex data sets from multiple data sources, both internally and externally.</li><li>\r\r\nBuild learning systems to analyze and filter continuous data flows and offline data analysis.</li><li>\r\r\nCollaborate with cross-functional partners across the business.</li><li>\r\r\nCollaborate with project teams to implement data modeling solutions.</li><li>\r\r\nCombine data features to determine search models.</li><li>\r\r\nConduct advanced statistical analysis to determine trends and significant data relationships.</li><li>\r\r\nDevelop models of current state in order to determine improvements needed.</li><li>\r\r\nDevelop multiple custom data models to drive innovative business solutions.</li><li>\r\r\nDrives the execution of multiple business plans and projects</li><li>\r\r\nEnsures business needs are being met</li><li>\r\r\nInterpret data to identify trends to go across future data sets.</li><li>\r\r\nPromotes and supports company policies, procedures, mission, values, and standards of ethics and integrity</li><li>\r\r\nProvides supervision and development opportunities for associates</li><li>\r\r\nResearch new techniques and best practices within the industry.</li><li>\r\r\nScale new algorithms to large data sets.</li><li>\r\r\nTrain algorithms to apply models to new data sets.</li><li>\r\r\nTranslate business needs into data requirements.</li><li>\r\r\nUtilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog).</li><li>\r\r\nValidate models and algorithmic techniques.</li></ul>, <p><b>\r\r\nMinimum Qualifications</b></p>, <ul><li>\r\r\nBachelor of Science and 5 years' data science experience OR Master of Science and 3 years' data science experience.</li></ul>, <p><b>\r\r\nAdditional Preferred Qualifications</b></p>, <p><b>\r\r\nCompany Summary</b></p>]
## 329 [<ul><li>Responsible for automating the pricing strategies of our catalog</li><li>\r\r\nUse statistical software (Python, R) to apply machine learning and predictive modeling to our pricing strategies.</li><li>\r\r\nDesign and evaluate the results of controlled experiments to optimize pricing.</li><li>\r\r\nAlgorithmically drive our business actions to optimize performance under real-world constraints</li><li>\r\r\nCommunicate complex quantitative analysis, analytic approaches and findings in a clear, precise, and actionable manner</li></ul>, <ul><li>\r\r\n5+ years of machine learning and predictive modeling</li><li>\r\r\n5+ years of experience applying statistical software to real business problems</li><li>\r\r\nExtensive statistical software programming abilities</li></ul>, <ul><li>Untracked PTO for salaried employees.</li><li>Health Insurance. Spreetail pays your full monthly premium.</li><li>Home Owner Bonus. After 2 years, Spreetail supports your purchase of a home with a $5k bonus.</li><li>Company Trips. Each time we hit our goals, we fly to a new destination.</li><li>3 Year Island Getaway. You and a guest get a 5 star beach vacation.</li><li>5 Year Sabbatical. Take 10 days off to reward your time in the office.</li><li>Donation Match. We match you dollar-for-dollar up to $250/year, and up to $1,000/year after 5 years.</li><li>Pet Friendly Office (select locations).</li><li>Stock Appreciation Rights. As Spreetail grows, so does your bank account.</li><li>Leadership Development. We invest in making you a stronger team member.</li></ul>]
## 330 [<p><b>Position Highlights:</b></p>, <ul>\r\r\n<li><b>Recognized leader:</b> Rated #1 Prepaid Wireless Provider in the U.S.</li>\r\r\n<li><b>Technology driven:</b> Opportunity to work with state-of-the-art technology</li>\r\r\n<li><b>Teamwork:</b> A supportive team environment that thrives on innovation.</li>\r\r\n<li><b>Culture: </b>An entrepreneurial focus, where ownership and ingenuity are expected.</li>\r\r\n<li><b>Benefits: </b>Excellent health benefits, Matching 401K, and education reimbursement.</li><br/>\r\r\n</ul>, <p><b>What you will do:</b></p>, <p>\r\r\nThis position is responsible to build various Machine Learning-based tools or processes such as recommendation engines or automated Customer scoring systems using Apache Spark Machine Learning Libraries by mining data from a data lake or other large sources of Customer Data. The Data Scientist should be able to work with big data, experiment with various Machine Learning algorithms that will solve the task, create prototypes and productionize those prototypes. The incumbent should also have hands on experience with Scala and Spark ML APIs to build reliable predictive models.</p>, <p>\r\r\nThe individual in this role should have extensive background in data mining and statistical analysis. The candidate will be required to clarify business requirements for new initiatives and interface with the users, external and internal support teams to identify and help resolve production problems, prepare detailed specifications, and technical guidance to his/her development peers on their efforts. The candidate will devise and/or suggest modifications to procedures that would in effect help to solve complex problems considering system applications, computer equipment capacity, operating time and desired results.</p>, <p>\r\r\nThe candidate will report progress on initiatives to Director Master Data Management providing updates to critical requests and fulfillment of business and development needs. The role will regularly provide guidance and direction to less experienced technologists and have direct responsibility for quality of the deliverables of the unit.</p>, <p><b>\r\r\nResponsibilities:</b></p>, <ul>\r\r\n<li>Build predictive models via Apache Spark Machine Learning Libraries by mining data from a data lake or other sources utilizing Spark/Scala and other interpretive languages such as Python with Hadoop.</li>\r\r\n<li>Unit test applications.</li>\r\r\n<li>Document the applications.</li>\r\r\n<li>Provide 3rd tier support for production systems.</li><br/>\r\r\n</ul>, <ul><li>Bachelor's Degree in a technical discipline (Computer Science, Math, Statistics, etc.).</li>\r\r\n<li>7+ years of hands on experience in developing Big Data applications using Spark / Scala and building predictive models using Spark Machine Learning APIs</li>\r\r\n<li>Experience in working with Hadoop ecosystem and related technologies (Cloudera, Hive, Impala, Spark / Scala / Spark ML etc.</li></ul>]
## 331 [<ul><li>Proficiency in synthesizing and interpreting data.</li>\r\r\n<li>Participate in proposal development, special projects.</li>\r\r\n<li>Design and develop reports and analyze data to measure outcomes and performance.</li>\r\r\n<li>Interpret and analyze data from various sources and recommend best approaches.</li>\r\r\n<li>Analyze data for both reporting development as well as trend identification.</li>\r\r\n<li>Accountable for reports.</li>\r\r\n<li>Mentor junior members of team.</li>\r\r\n<li>Self-development on a regular basis.</li>\r\r\n<li>Interest in industry knowledge.</li>\r\r\n<li>Provide strategic data based recommendations and highlight any data limitations.</li>\r\r\n<li>Analytic problem solving in relation to eQ Health business.</li>\r\r\n</ul>, <p>Intellectual curiosity and good industry knowledge.</p>]
## 332 [<ul>\r\r\n<li>Working with various business teams at Homer to understand their analytics questions, and determine the appropriate data sources and analysis approaches needed to answer them</li>\r\r\n<li>Executing analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to key stakeholders</li>\r\r\n<li>Analyze business metrics and KPIs to understand trends, identify issues, and opportunities for optimization</li>\r\r\n<li>Help identify and assess metrics and KPIs that could be tracked in order to measure impact and business outcomes</li>\r\r\n<li>Analyze A/B test results and perform cohort studies to track long-term impact on user behavior</li>\r\r\n<li>Be actively involved in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs</li>\r\r\n<li>Tackling machine learning projects (as appropriate) to improve our product personalization experiences</li>\r\r\n</ul>, <ul>\r\r\n<li>Excellent problem solving, analytical thinking and communication skills</li>\r\r\n<li>Proficiency in Python, SQL, and statistical tools such as R</li>\r\r\n<li>Ability to query and extract data from various data sources, including relational databases (e.g. MySQL), non-relational databases (e.g. Couchbase or MongoDB), and column store (e.g. Vertica/Redshift)</li>\r\r\n<li>Strong statistics and mathematical fundamentals</li>\r\r\n<li>Bachelor's degree in a quantitative field such as Computer Science, Mathematics, Statistics, or Economics</li>\r\r\n<li>1-2 years of relevant work experience</li>\r\r\n</ul>, <ul>\r\r\n<li>Knowledge and experience in machine learning is a plus</li>\r\r\n<li>Experience designing highly usable and compelling dashboards/visualizations is a plus</li>\r\r\n</ul>, <ul>\r\r\n<li>Are passionate about data, love getting their hands dirty with data and shaping it into information</li>\r\r\n<li>Are meticulous, thorough, and display excellent attention to detail</li>\r\r\n<li>Are intellectually curious and comfortable working with new or unconventional technologies</li>\r\r\n<li>Are self starters, super proactive and can act as the CEO of their position</li>\r\r\n<li>Have an innate desire to deliver results</li>\r\r\n<li>Enjoy working hard and working smart</li>\r\r\n<li>Are passionate about our industry (education) and our consumers (children, parents and educators)</li>\r\r\n</ul>, <ul>\r\r\n<li>HOMER offers competitive compensation including equity and full benefits</li>\r\r\n<li>Smart, passionate, and engaged co-workers</li>\r\r\n<li>Excellent top-tier Medical/Dental/Vision benefits</li>\r\r\n<li>The chance to have a big impact, quickly</li>\r\r\n<li>The rare opportunity to make a dent in the universe. We're bringing a love of reading and learning to children globally</li>\r\r\n</ul>]
## 333 [<p><b>Job Description</b></p>, <ul><li>\r\r\nAccountable for preparing a Work Scope for a Data Science Service</li><li>\r\r\nAccountable for executing the Data Science Work Scope</li><li>\r\r\nAccountable for initiating Final Review of the Data Science Service/Work</li><li>\r\r\nAccountable for the Closeout, Quality Review and Customer Satisfaction Survey</li></ul>, <ul><li>\r\r\nAccountable for maintaining Policies and Standards for Information and Data analytics</li><li>\r\r\nAccountable for execution of Enterprise Improvement Plan for Information and Data analytics</li></ul>, <ul><li>\r\r\nBuilding constructive and trusting relationships with mostly remote business stakeholders</li><li>\r\r\nDealing with challenges in data acquisition from other parts of the business</li></ul>, <ul><li>\r\r\nThe Data Scientist will report into the Data Science Lead as a member of the Data Science team</li><li>\r\r\nFor specific projects, the Data Scientist reports into the assigned Project Manager</li></ul>, <p><b>Country of Work Location</b></p>, <p><b>Work Location</b></p>, <p><b>Company Description</b></p>, <p><b>Requirements</b></p>, <ul><li>Bachelor or master degree in statistics, mathematics, theoretical science, operational research or computer science</li><li>\r\r\nMBA/ PHD in relevant domain is strongly preferred</li><li>\r\r\nKnowledge of concept selection process for deepwater projects</li><li>\r\r\nExperience in data science delivery in a corporate environment is desirable</li><li>\r\r\nMust have strong technical skills to develop advanced analytics algorithms/models.</li><li>\r\r\nSkilled in analytics</li><li>\r\r\nSkilled in data design integrity</li><li>\r\r\nSkilled in value exploitation</li><li>\r\r\nAwareness of lifecycle and data management is desirable</li><li>\r\r\nAwareness of information and data strategy and governance is desirable</li><li>\r\r\nCommercial skills are an advantage.</li><li>\r\r\nHave interpersonal, communication, facilitation and presentation skills</li><li>\r\r\nCandidates for the position should have experience in applying analytical methods to real data. That can also be by having done projects during their studies.</li><li>\r\r\nHands-on code development (R, Python, MatLab, SAS).</li><li>\r\r\nUse of advanced analytics technology in the context of application deployment</li><li>\r\r\nKnowledge of data source extraction (ETL) is desirable (HANA, SQL, Oracle, SharePoint, Hadoop, Spark)</li></ul>, <p><b>No. of Positions</b></p>, <p><b>Disclaimer</b></p>, <p><b>Job Expires</b></p>]
## 334 [<ul><li>Develop, test and validate statistically sound predictive models.\r\r\n</li><li>Design and develop analytical solutions/reports to support Risk Management, Finance and Operations departments using business intelligence tools such as Python, R or Qlikview.</li><b>\r\r\n</b><li>Analyze large data sets to discover trends, patterns and actionable insights.</li><b>\r\r\n</b><li>Apply research and evaluation standards, descriptive statistics and data management principles to translate complex data into meaningful content.</li><li>\r\r\nDesign, create, test and maintain a portfolio of reports, scorecards and dashboards.Manage individual projects as assigned to ensure adherence to schedule, as well as quality and accuracy of delivered results.</li><b>\r\r\n</b><li>Create and maintain detailed documentation of existing as well as newly developed analytical and reporting systems.\r\r\n</li></ul>, <ul><li>Bachelor’s Degree in Economics, Math/Science Finance, engineering or similar discipline with least 1 year of experience.</li>\r\r\n<li>Comfortable in developing statistical models using Python, SAS or R statistical packages.</li>\r\r\n</ul>, <ul><li>Master’s Degree in Economics, Math/Statistics, Finance, Engineering or similar discipline</li>\r\r\n<li>1+ year of experience in business application of machine learning techniques and statistical analysis.</li>\r\r\n<li>Experience in Python development is highly desired.</li></ul>, <ul><li>\r\r\nStrong data analysis and communication skills</li><li>\r\r\nAbility to learn new statistical methods and packages</li></ul>]
## 335 [<p>Data scientists utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.</p>, <p>\r\r\nDefines, manages, and evaluates business plans to ensure they are operationally executable against defined strategic objectives. Leads and partners with cross-functional teams to develop short-term (typically less than two years) business plans and supporting data-driven models. Prepares comprehensive implementation tactics, including execution plans, resource allocation plans, follow-up guidelines, assessment, and process accountabilities. Ensures that business activities are aligned with stated plans among different stakeholders. Sets business metrics, evaluates actual performance, and makes recommendations to business leaders on performance target achievement. Develops data-driven analyses to optimize resources and ensure that business plans can be translated into financial value.</p>, <p><b>\r\r\nResponsibilities:</b></p>, <ul><li>\r\r\nLeads complex data and business analyses to develop business plans, and identifies recommendations and insights.</li><li>\r\r\nWorks independently to construct highly complex statistical and financial models to forecast business performance; coaches others on model development.</li><li>\r\r\nEstablishes the metrics required to measure business performance, and develops the process for identifying and addressing performance gaps.</li><li>\r\r\nManages complex, time- sensitive market research projects and prepares synthesized intelligence reports with clear implications.</li><li>\r\r\nLeads cross-functional teams across the entire span of business planning activities.</li><li>\r\r\nContributes to priority projects by adding creative insights and developing recommendations.</li><li>\r\r\nPartners with business leaders to develop business plans and proactively identify new opportunities.</li><li>\r\r\nDevelops go-forward business plan recommendations based on potential risks and returns.</li><li>\r\r\nIdentifies cutting-edge analytical tools, models, and methods for making key business decisions.</li></ul>, <p><b>Education and Experience Required:</b></p>, <p><br/>\r\r\nRequires 6 - 10 years work experience in strategy, planning, operations, finance, or related functional area. Advanced university degree (e.g., MBA) or demonstrable equivalent.</p>, <p><b>\r\r\nKnowledge and Skills:</b></p>, <ul><li>\r\r\nExtensive knowledge of research methodology for key business issues.</li><li>\r\r\nExcellent analytical thinking, technical analysis, and data manipulation skills.</li><li>\r\r\nAbility to leverage new analytical techniques to develop creative approaches to business analysis.</li><li>\r\r\nExtensive knowledge and understanding of how to analyze business problems using Excel, Access, statistical analysis, and financial modeling.</li><li>\r\r\nStrong business acumen and technical knowledge within area of responsibility.</li><li>\r\r\nExcellent verbal and written communication skills.</li><li>\r\r\nVery strong project management skills, including leading large, cross-functional initiatives.</li><li>\r\r\nStrong relationship management skills, including partnering and consulting.</li><li>\r\r\nDeveloped leadership skills, including team-building, conflict resolution, and management.</li><li>\r\r\nAbility to identify emerging trends from market and industry data.</li></ul>, <ul><li>\r\r\nUse this information to develop data-driven solutions to difficult business challenges.</li><li>\r\r\nData scientists commonly have a bachelor's degree in statistics, math, computer science, or economics.</li><li>\r\r\nData scientists have a wide range of technical competencies including: statistics and machine learning, coding languages, databases, machine learning, and reporting technologies</li><li>\r\r\nWork with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>\r\r\nMine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.</li><li>\r\r\nAssess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li>\r\r\nDevelop custom data models and algorithms to apply to data sets.</li><li>\r\r\nUse predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.</li><li>\r\r\nDevelop company A/B testing framework and test model quality.</li><li>\r\r\nCoordinate with different functional teams to implement models and monitor outcomes.</li><li>\r\r\nDevelop processes and tools to monitor and analyze model performance and data accuracy</li></ul>]
## 336 [<ul><li>\r\r\nUtilizing features of billions of transactions to help borrowers access capital for personal and small-business loans and mortgages</li><li>\r\r\nModeling the nuanced language of financial statements to extract useful information from their unstructured data (see https://blog.plaid.com/making-sense-of-messy-data/)</li><li>\r\r\nExploring new ways we can better equip users and clients with insights about spending, saving, and investing</li><li>\r\r\nChampioning a data-first approach toward decision-making across the entire organization</li></ul>, <ul><li>\r\r\nAt least 2 years of production data science experience</li><li>\r\r\nPreferably (but not required) a graduate degree in machine learning, computational statistics, or similar fields</li><li>\r\r\nStrong collaborative mindset and experience working with external clients to translate their needs into effective engineering solutions</li></ul>]
## 337
## 338 [<ul>\r\r\n<li>Leverage Big Data to discover patterns and solve strategic and tactical business problems using massive structured and unstructured data sets across multiple environments</li>\r\r\n<li>Understand customer business use cases and be able to translate them to analytical data applications and models with a vision on how to implement a solution</li>\r\r\n<li>Develop tools to analyze data accuracy and model performance</li>\r\r\n<li>Leverage machine learning, natural language processing, and/or advanced statistical techniques</li>\r\r\n<li>Research industry topics impacting opportunities relevant for data analysis projects</li>\r\r\n<li>Coordinate across teams (product management, engineering, etc.) timely and effectively</li>\r\r\n</ul>, <ul>\r\r\n<li>Strong knowledge/experience with data science pipeline and analytics tools such as Python, R, matlab, octane, clojure, tensorflow, keras, or other AI frameworks</li>\r\r\n<li>In-depth understanding of data scrubbing, database management, statistics, and machine learning</li>\r\r\n<li>Organized and capable of independently managing complex analytical projects from start to finish</li>\r\r\n<li>Excellent interpersonal, written, and oral communication skills</li>\r\r\n<li>Strong, out-of-the-box thinking, and a curious mind</li>\r\r\n<li>Ability to clearly communicate complex results to technical and non-technical audiences</li>\r\r\n<li>At least 3+ years of overall analytics experience</li>\r\r\n<li>Degree in Computer Science, Mathematics, Statistics or another quantitative field</li>\r\r\n<li>Ability to work full-time, onsite in our Sandy Springs office</li>\r\r\n</ul>, <ul>\r\r\n<li>Advanced degree in Computer Science, Mathematics, Statistics, or another quantitative field</li>\r\r\n<li>4+ years of experience in consulting with emphasis on specializing in forecasting, linear programming, or machine learning</li>\r\r\n</ul>, <ul>\r\r\n<li>A competitive salary and health benefits</li>\r\r\n<li>Easy access to Marta</li>\r\r\n<li>Paid company holidays and up to 15 days of paid personal time</li>\r\r\n<li>Complimentary perks such as free gym, free snacks, and monthly catered lunches</li>\r\r\n<li>Casual culture with approachable leadership</li>\r\r\n</ul>]
## 339 [<p><b>Works directly with the Program Director for Data Science to advance data science strategy and programs within Northwell. Works collaboratively with both Information Technology members and the clinical community to evaluate and implement data science projects, systems and initiatives at both the department and the enterprise level. Ensures that these projects and their outputs enhance clinical quality, patient safety, and institutional efficiency, focusing on all aspects of data science, including data gathering and wrangling, exploratory data analysis, data modeling and machine learning, and model implementation and evaluation.</b></p>, <p>\r\r\n1. Works collaboratively to design, implement and maintain data science models and applications.</p>, <p>2. Works on programs to apply data science methodologies, including predictive modeling and machine learning, data analytics and visualization, and usability and design, to departmental, service line, and enterprise applications and functions.</p>, <p>3. Synthesizes complex data-related problems into actionable business and/or clinical strategy, and communicate findings to appropriate end-users and stakeholders.</p>, <p>4. Assists with the development of specifications to support the design of new or modified data science projects, with a focus on data-driven optimization, enhancement, and development.</p>, <p>5. Assists in the evaluation of projects, systems, and initiatives at the department, service line, and enterprise level. Ensures projects and their outputs enhance clinical quality, patient safety, and institutional efficiency, focusing on all aspects of data science, including data gathering and wrangling, exploratory data analysis, data modeling and machine learning, and model implementation and evaluation. Ensures high quality execution of all proposed projects.</p>, <p>6. <i>Knowledgeable in present and planned data science projects and maintains voice of the customer in all project initiatives</i>.</p>, <p>7. Serves as the link between the clinical staff (customer) requirements and IS capabilities.</p>, <p>8. Assists in ensuring that systems are implemented to support Health System initiatives and goals to improve the quality of patient care, to maximize patient safety, and to provide operational efficiencies.</p>, <p>9. Serves as a resource to the Director of Quality Informatics and Program Director of Data Science.</p>, <p>10. Demonstrates familiarity with current hospital information systems.</p>, <p>11. Performs other duties as assigned.</p>, <ul><li> Bachelor’s Degree in Computer Science, Informatics, Statistics, Engineering, Data Science, or related field, required. Master’s Degree, preferred.</li></ul>, <ul><li> Minimum of two (2) years of post-graduate training or experience involving quantitative data analysis, required and working with clinical data, data science, and machine learning, preferred.</li></ul>, <ul><li> Working familiarity with basic medical and health information technology concepts, including standardized terminologies and ontologies and electronic health records, as well as Data Warehousing and Business Intelligence tools, required.</li></ul>, <ul><li> Expertise in working with SQL relational databases and statistical or general programming languages (e.g., Python, R), required.</li></ul>, <ul><li> Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.</li></ul>]
## 340 [<ul><li>Conduct quantitative assessment to enable efficient product development, testing and commercialization</li><li>Build and apply predictive models or appropriate analytical methods on clinical or real-world data to improve patient vision outcome</li><li>Build and apply machine-learning or deep-learning algorithm to detect signals for ocular disease progression using image-based data or using information captured by devices</li><li>Communicate inference using appropriate visualization techniques to appropriate stakeholders</li><li>Scope modeling opportunities and develop modeling/analysis plan for project teams</li><li>Execute project modeling/analysis plans to achieve high quality deliverable</li><li>Manage collaboration with internal partners and/or external (academia, consulting) groups</li></ul>, <p><b>EEO Statement</b></p>, <p><b>Minimum requirements</b></p>, <ul><li>Bachelor’s Degree or equivalent years of directly related experience (HS +10 yrs; Assoc.+6 yrs; M.S.+2 yrs)</li><li>The ability to fluently read, write, understand and communicate in English</li><li>2 Years of Relevant Experience</li><li>Advanced modeling and simulation knowledge with proven experience to support product development in the biomedical industry or equivalent industry experience</li><li>Experience in developing and applying one or more of the following to solve real-world problems, namely, predictive modeling, signal processing, image analysis, visualization, neural-network or other machine learning techniques</li><li>A deep familiarity with applications for data processing, predictive modeling, image processing, visualization, and machine learning algorithm development (e.g. MATLAB, R, Python, ImageJ, TensorFlow)</li><li>Experience with business intelligence tools or distributed data/computing tools is an asset</li><li>Exceptional written and verbal communication skills including the ability to interact effectively with multidisciplinary teams, Demonstrated aptitude for collaboration with other quantitative partners.</li><li>Well-developed organizational skills and the ability to manage several projects simultaneously</li></ul>, <ul><li>Preferred Qualifications:</li></ul>, <p><b>Division</b></p>, <p><b>Business Unit</b></p>, <p><b>Country</b></p>, <p><b>Work Location</b></p>, <p><b>Company/Legal Entity</b></p>, <p><b>Functional Area</b></p>, <p><b>Job Type</b></p>, <p><b>Employment Type</b></p>]
## 341 [<ul>\r\r\n<li>Create smarter product solutions for our couples and vendors</li>\r\r\n<li>Answer strategic questions by analyzing behavioral data</li>\r\r\n<li>Communicate, collaborate and present results to clients within WeddingWire</li>\r\r\n<li>Explore novel ways to look at our data</li>\r\r\n</ul>, <ul>\r\r\n<li>Master's Degree or Ph.D. preferred</li>\r\r\n<li>Proficiency in key statistical and machine learning techniques (predictive modeling, classification, clustering, text analytics, recommender systems , data mining methods, forecasting, and other advanced techniques)</li>\r\r\n<li>Proficiency with R or Python</li>\r\r\n<li>Familiarity with common Linux command line tasks and version control software like git or svn preferable</li>\r\r\n</ul>, <ul>\r\r\n<li>Able to communicate effectively and influence others</li>\r\r\n<li>Able to work in a fast paced environment and shift gears quickly</li>\r\r\n</ul>, <ul>\r\r\n<li>Our Amazing Team! Our team is led by the industry's top leaders. We are a supportive team that wants every employee to succeed. WeddingWire employees are deeply proud to work here and are eager to onboard employees who want to promote the mission of our organization and achieve our business objectives.</li>\r\r\n<li>Training & Development! WeddingWire provides each employee with company orientation during week one. From there, each team onboards and trains each employee specific to their role. We also provide continuous education and other learning opportunities for the broader team through guest speakers, Emerging Leaders and Leadership Development programs and crash courses.</li>\r\r\n<li>Award-winning Culture! We are proud to have been selected by numerous organizations as one of DC's Best Places to Work! We strongly believe in promoting a unique employee experience and that happy employees lead to happy customers: our competitive advantage! We make significant investments in cultivating our culture, which consistently ranks the highest attribute of working for WeddingWire on our internal and external employee surveys.</li>\r\r\n</ul>]
## 342 [<ul><li><div><b>Minimum Requirements: </b>Bachelor's degree or equivalent and 2 years of related experience or an equivalent combination of education and experience. Solid understanding of principles, practices, theories, and/or methodologies associated with the professional discipline (e.g., information technology, project management, finance, risk management, etc.). Ability to manage competing priorities. Ability to solve problems in straightforward situations by analyzing possible solutions using experience, judgment and precedents. Awareness of industry competitive landscape and the factors that differentiate SunTrust and other banks in the market. Ability to communicate complex information in straightforward situations.</div></li><li><div><br/>\r\r\n</div></li><li><div><b>\r\r\n Preferred Requirements:</b> Master's degree or MBA and 3 years of related experience. Previous experience in the banking industry.</div></li></ul>]
## 343 [<p>With nearly 200 years of history, over 800 expert volunteers, nearly 1000 full-time staff, and terabytes of structured and unstructured data, USP is an organization with rich information assets and a wealth of internal and external expertise. The Research & Innovation department is seeking a one-year fixed-term science fellow to develop a prototype knowledge/expertise search and management tool to help identify staff with specific skills and expertise.</p>, <p>\r\r\nThe vision for the prototype uses robust USP taxonomies/ontologies that need to be developed, appropriate technology tools and a staff dataset to help identify staff with specific skills and expertise independently of their role or department. Therefore, in collaboration with Information Technology, other knowledge management initiatives, and the Science Division leadership, the successful candidate will define the scope of the “skill seeker” prototype, define and implement it and any necessary information collection and management tool prototypes (e.g., a compendial science ontology / taxonomy, staff data collection), and evaluate the performance of the prototype.</p>, <ul><li>Develops a prototype ontology/taxonomy for USP compendial science Defines scope and business requirements for the prototype</li>\r\r\n<li>Identifies existing ontologies/ taxonomies, data stores, and query tools for potential use in skill-seeker</li>\r\r\n<li>Describes high-level functional architecture including sources of input data, storage mechanism, data query, and results visualization</li>\r\r\n<li>Integrates ontologies/taxonomies into a skill-seeker prototype demonstrating key functionality such as input, storage, retrieval, analysis, visualization</li>\r\r\n<li>Builds skill-seeker prototype</li>\r\r\n<li>BS with 2 years of relevant experience in computer or data science; or MS. Relevant fields of study include data / computer science, linguistics, library information science, chemistry, biology, biochemistry, or pharmacy.</li>\r\r\n</ul>, <ul><li>BS with 2 years of relevant experience in computer or data science; or MS. Relevant fields of study include data / computer science, linguistics, library information science, chemistry, biology, biochemistry, or pharmacy.</li>\r\r\n</ul>, <ul><li>Experience in the storage and retrieval of scientific data elements</li>\r\r\n<li>Experience utilizing current web standards (e.g., foundational technologies for Web 3.0 / the semantic web), including both front- and back-end technologies</li>\r\r\n<li>Experience in usage of data models and classifications</li>\r\r\n<li>Experience developing databases, ontologies, user interfaces, with a desire to become proficient in all</li>\r\r\n<li>Demonstrated ability to quickly become competent in technical IT areas</li>\r\r\n<li>Familiarity with vocabulary standards, e.g., RxNorm, LOINC, UNII codes Results driven with demonstrated successful outcomes</li>\r\r\n<li>Possesses attention to details in documentation</li>\r\r\n<li>Strong interpersonal skills with ability to effectively communicate outputs to both lay and technical audiences</li>\r\r\n<li>Experience with planning, tracking and performance management of programs/ initiatives</li>\r\r\n<li>Excellent written, oral and presentation skills</li><br/>\r\r\n</ul>]
## 344 [<ul><li>Responsible for automating the pricing strategies of our catalog</li><li>\r\r\nUse statistical software (Python, R) to apply machine learning and predictive modeling to our pricing strategies.</li><li>\r\r\nDesign and evaluate the results of controlled experiments to optimize pricing.</li><li>\r\r\nAlgorithmically drive our business actions to optimize performance under real-world constraints</li><li>\r\r\nCommunicate complex quantitative analysis, analytic approaches and findings in a clear, precise, and actionable manner</li></ul>, <ul><li>\r\r\n5+ years of machine learning and predictive modeling</li><li>\r\r\n5+ years of experience applying statistical software to real business problems</li><li>\r\r\nExtensive statistical software programming abilities</li></ul>, <ul><li>Untracked PTO for salaried employees.</li><li>Health Insurance. Spreetail pays your full monthly premium.</li><li>Home Owner Bonus. After 2 years, Spreetail supports your purchase of a home with a $5k bonus.</li><li>Company Trips. Each time we hit our goals, we fly to a new destination.</li><li>3 Year Island Getaway. You and a guest get a 5 star beach vacation.</li><li>5 Year Sabbatical. Take 10 days off to reward your time in the office.</li><li>Donation Match. We match you dollar-for-dollar up to $250/year, and up to $1,000/year after 5 years.</li><li>Pet Friendly Office (select locations).</li><li>Stock Appreciation Rights. As Spreetail grows, so does your bank account.</li><li>Leadership Development. We invest in making you a stronger team member.</li></ul>]
## 345 [<p>Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives.<br/>\r\r\n<br/>\r\r\nCorning succeeds through sustained investment in R&D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges.<br/>\r\r\n<br/>\r\r\nCorning's Manufacturing, Technology and Engineering division (MTE) is recognized as the leader in engineering excellence & innovative manufacturing technologies by providing diverse skills to Corning’s existing & emerging businesses.<br/>\r\r\n<br/>\r\r\nWe anticipate & provide timely, valued, leading edge manufacturing technologies and engineering expertise. We partner with Corning’s businesses and the Science & Technology division. Together we create and sustain Corning’s manufacturing as a differential advantage.</p>, <p><b>\r\r\nScope of Position:</b></p>, <p>This candidate will be responsible for gathering existing data and/or generating new data to solve technical, business or project related problems. They should have experience with both the capture of data using different tools, management/manipulation of large data and extensive knowledge of a wide variety of data analysis methods. Data analysis tools and methods include, but are not limited to, linear and non-linear regression, multivariate methods, genetic algorithm, neural network, Gaussian processes and other machine learning techniques.</p>, <p>The analytical work will support a range of projects from highly technical problems to business predictions. This will also involve work from manufacturing, development, research and commercial applications. It is expected that this person will create predictive tools that will enable both business and technical decisions. The work will often require validation through exhaustive research of prior art relative to the problem at hand.</p>, <p><b>Day to Day Responsibilities:</b></p>, <ul><li>Develop new theories or expand upon existing theories using a combination of data and direction from project leaders</li>\r\r\n<li>Research all external and internal information relative to the problems identified by the project team</li>\r\r\n<li>Collaborate with existing subject matter experts to solve very difficult problems</li>\r\r\n<li>Participate on cross functional teams to develop and test hypotheses related to materials understanding</li>\r\r\n<li>Develop models using appropriate methods and software; expanding capabilities as needed</li>\r\r\n<li>Communicate results to teams and stake-holders as needed</li>\r\r\n<li>Document findings with internal and external publications</li>\r\r\n</ul>, <p><b>Travel requirements:</b></p>, <ul><li>Limited travel, likely <10% but that could include international for conferences, et. al.</li>\r\r\n</ul>, <p><b>Hours of work/work schedule/flex-time:</b></p>, <ul><li>Normal Business Hours 8:00-5:00 with additional hours occasionally needed for urgent project demands.</li>\r\r\n</ul>, <p><b>Education and Experience:</b></p>, <ul><li>Ph.D. in Mathematics, Engineering, Statistics or related Field</li>\r\r\n</ul>, <p><b>Required Skills\r\r\n</b></p>, <ul><li>Demonstrated experience and strong technical knowledge in data driven and predictive modeling</li>\r\r\n<li>Data Analysis Experience using any mix of software including, but not limited to: Matlab, R, SAS, JMP, Minitab</li>\r\r\n<li>Programming experience using C/C++, Java or R</li>\r\r\n<li>Ability to work effectively on diverse teams</li>\r\r\n<li>Ability to collaborate closely with scientific community, business leaders and management</li>\r\r\n<li>Good written and verbal communication skills</li>\r\r\n</ul>, <p><b>Desired Skills:</b></p>, <ul><li>Familiar with physics-based modeling for technical field such as CFD, Heat Transfer or Solid Mechanics.</li>\r\r\n</ul>, <p><b>Soft Skills:</b></p>, <ul><li>Must be collaborative and able to openly engage with colleagues to achieve project goals</li>\r\r\n<li>The ability to translate difficult technical concepts to broader audience</li>\r\r\n<li>Self-motivated with an ability to manage one’s own work independently</li>\r\r\n<li>Ability to communicate effectively by phone and video with team members in international locations</li>\r\r\n<li>Ability to take feedback constructively and use it for personal growth</li>\r\r\n</ul>]
## 346 [<p>CGG is a recognized leader in subsurface imaging and our international teams are dedicated to solving our clients’ complex challenges. Come and join us to help build the most stunning images of the Earth's subsurface, using our massive computers capability. Thanks to our talented people and in-house technology, CGG is unique in the geoscience sector.</p>, <p>\r\r\nCGG is currently looking for a creative and results-focused individual who enjoys working on open-ended problems. Your customers are world-class seismic imagers who strive to image the subsurface with a high degree of accuracy and resolution. Your challenge is to analyze the computational activities and demands of seismic imaging and, with your insights, propose solutions and applications for realms widely ranging from resource scheduling and allocations to automation of imaging-related computations in our HPC environment. In a nutshell, we expect you to propose solutions to known problems and also identify new areas where you can add value with your expertise.</p>, <p>\r\r\nWe want people who can work with a team to decide what to look for, and who also have the technical ability to go get it. Interest in data mining and machine learning is key, since these are the two areas where you may specialize. You will participate as an engineer on a development team, writing, testing, and deploying code to achieve your goals. We want you if you are an independent thinker and capable of analyzing requirements, extracting data for analysis, and developing algorithms and tools. We process seismic data at the petascale and warehouse information at the terascale. The stakes are high, but your impact can be higher.</p>, <p><b>\r\r\nMust have current U.S. work authorization or qualify for sponsorship</b></p>, <ul><li>\r\r\nPh.D.in Computer Science, Math, Statistics, Physics or a closely related field but an equivalent combination of educationand experience will be considered</li><li>\r\r\nProven Machine Learning experience</li><li>\r\r\nProfessional experience with Deep Learning Neural Network building</li><li>\r\r\nDemonstrated experience with Deep Learning Framework such as Tensorflow and Keras</li><li>\r\r\nExperience and/or education in at least one of the fields of Big Data, Data Mining, Predictive/Prescriptive Analytics, Optimization, Exploratory Analysis & Visualization</li><li>\r\r\nKnowledge of relational databases, data modeling, and schema normalization techniques</li><li>\r\r\nFamiliar with SQL</li><li>\r\r\nPassion for solving complex data engineering and modeling tasks</li><li>\r\r\nAbility to perform testing based on different hypotheses to determine the impact on key performance indicators</li><li>\r\r\nExcellent analytical skills and the ability to work in a collaborative team environment</li></ul>, <p><b>\r\r\nPreferred:</b></p>, <ul><li>\r\r\nExperience in programming (high performance computing is a plus) and developing databases</li><li>\r\r\nKnowledge and experience with UNIX (Linux), Java, and XML</li><li>\r\r\nKnowledge of Perl, R, and Spark</li><li>\r\r\nExpertise in designing and implementing efficient algorithms</li></ul>, <p>\r\r\nWe wish to thank all applicants for their interest; however, only those candidates selected for an interview will be contacted. EOE</p>, <p><b><i>\r\r\nOur focus on performance and passion for innovation are powered by people</i></b></p>, <p><b><i>\r\r\nOur greatest resource is you\r\r\n</i></b></p>, <p>\r\r\nAll your information will be kept confidential according to EEO guidelines.</p>, <p>\r\r\nI'm interested</p>]
## 347 [<ul><li>Analyze, report, and present on findings and behavioral trends</li><li>Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources</li><li>Drive the collection of new data and the refinement of existing data sources</li><li>Develop product offerings through careful consideration of business value and data analyses</li><li>Explore high-level, undefined ideas and business problems using unstructured, raw data</li><li>Improve internal processes and tools to increase efficiency and spur future product innovation</li><li>Train and develop the less experienced data scientists and analysts on the team</li><li>Spur future product innovation</li></ul>, <ul><li>2 or more years of data science work experience</li><li>Degrees with a concentration in a quantitative discipline</li><li>Familiarity with relational databases and SQL-like query languages</li><li>Strong competence with the R programming language</li><li>Advanced knowledge of statistics</li><li>Strong verbal and written communication skills, listening skills, and effective presentation skills</li><li>Ability to impress internal teams and positively influence third-party partners and customers</li></ul>, <ul><li>Experience in developing and deploying predictive model pipelines</li><li>Involvement in R package development</li><li>Past participation in a formal research setting</li><li>Expertise in NLP and/or optimization machine learning problems</li><li>Experience as a part of a software organization</li></ul>]
## 348 [<ul>\r\r\n<li>Experience with end-to-end data analysis</li>\r\r\n<li>Knowledge of statistics</li>\r\r\n<li>Knowledge of analytical tools, including Microsoft Excel, Tableau, R, and Python</li>\r\r\n<li>Ability to work with a team to follow an analysis process from a client question to provide client recommendations and communicate technical results to a non-technical audience</li>\r\r\n<li>Ability to obtain a security clearance</li>\r\r\n<li>BS degree in Statistics, Mathematics, Science, or Engineering</li>\r\r\n</ul>, <ul>\r\r\n<li>Experience with risk analysis</li>\r\r\n<li>Knowledge of schedule analysis</li>\r\r\n<li>Ability to facilitate data gathering and feedback group sessions with clients</li>\r\r\n<li>Secret clearance</li>\r\r\n</ul>]
## 349 [<p><b>\r\r\nQualifications</b><br/>\r\r\n</p>, <ul><li>\r\r\nPreferred<br/>\r\r\nBachelors of Science in Computer Science, Math or Scientific Computing;<br/>\r\r\nData Analytics, Machine Learning or Business Analyst nanodegree; or<br/>\r\r\nequivalent experience.\r\r\n</li><li>Requires 5-8 years experience or PhD or Masters in an approved field with no minimum years of relevant experience.</li></ul>]
## 350 [<ul><li>\r\r\nYou will work with stakeholders to formulate approaches to solve problems using algorithms and data sources in context of customer, engineering, and business needs.</li><li>\r\r\nYou will use data exploration techniques to discover new opportunities within your problem area.</li><li>\r\r\nYou will interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.</li><li>\r\r\nYou will engage with stakeholders to produce clear, compelling, and actionable insights that influence product and service improvements that will impact millions of customers.</li><li>\r\r\nYou will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.</li></ul>, <ul><li>Knowledge and experience with key data science areas such as machine learning, deep learning, anomaly detection, predictive analysis, text analysis, exploratory data analysis, and other areas of data science</li><li>Experience performing data analysis including applying statistics</li><li>Proficiency using tools like Python, R, MATLAB, AMPL, SAS, or other relevant data science tools/environments</li><li>Excellent verbal and written communication skills with experience presenting to large and small audiences</li><li>Ability to interact with peers and stakeholders to define and drive product and business impact</li><li>Degree in in Computer Science, Statistics, Mathematics, Economics, or another quant-focused field</li><li>Engineering experience using large data systems on SQL, Hadoop, Spark, etc.</li><li>Proficiency using one or more programming or scripting language like Python, Scala, or C# to work with data</li><li>Experience with product and service telemetry systems</li></ul>]
## 351 [<ul><li>\r\r\nPartner closely with leadership on our (external) partnerships, business development, payments, and product management teams on causal inference (including quasi-experiments) and incrementality, predictive modeling, and analytical problems that drive key decisions globally. Excellent communications and understanding of business strategy is key.</li><li>\r\r\nDevelop statistical/machine learning models and related analysis that explain user acquisition, retention, and engagement on our various partner initiatives and devices.</li><li>\r\r\nResearch and develop key metrics and performance indicators. How do we measure the impact of marketing dollars that a partner company spends to promote Netflix? What is the value of implementing Dolby Atmos audio?</li><li>\r\r\nTranslate analytic insights into concrete, actionable recommendations for business or product improvement, and communicate these findings.</li><li>\r\r\nBuild dashboards and visualizations that enable stakeholders to self-serve metrics and trends effectively. Assist and educate on interpretation.</li></ul>, <ul><li>\r\r\nPhD degree in Statistics/Biostatistics, Mathematics, Physics, Operations Research, Econometrics or related field</li><li>\r\r\nExceptional interpersonal and communication skills</li><li>\r\r\nAbility to work independently and drive your own projects</li><li>\r\r\n3+ years relevant experience with a proven track record of leveraging massive amounts of data to drive product innovation</li><li>\r\r\nStrong statistical knowledge and intuition - ability to tease out incrementality vs. correlations; understanding of predictive modeling; time series; probabilistic graphical models;</li><li>\r\r\nStrong skills in SQL, Python and/or R</li><li>\r\r\nExperience with distributed analytic processing technologies (Hive, Pig, Presto, Spark)</li><li>\r\r\nData visualization skills to convey information and results clearly</li><li>\r\r\nDeep product sense</li><li>\r\r\nA fan of Netflix is a strong plus</li></ul>]
## 352 [<ul><li>Ensures the actual adoption and value realization of the analytical solutions and models by developing the complex analytic models, proving the validity of these models, explaining them to the business partners, and driving continuous improvement to the models based on model results and business requirements changes.\r\r\n</li><li>Finds and integrates new internal or external datasets necessary to complete the analysis and improve the validity, predictability, and accuracy of models.\r\r\n</li><li>Ability to present highly technical information to business units not versed in such technicalities.\r\r\n</li><li>Interpreting data and analyzing results using statistical techniques, and providing on-going reports in a timely and professional manner.\r\r\n</li><li>Developing and implementing databases, data collection systems, data analytics, and other strategies that will provide efficient data and reporting solutions.\r\r\n</li><li>Responsible for identifying business trends from big data sources to enable faster and better decision making.\r\r\n</li><li>Employs statistical procedures (Logistic regression, Machine Learning).\r\r\n</li><li>Develops model tracking methodologies and reports to monitor model performance.\r\r\n</li><li>Utilizes statistical software (e.g., SAS, JMP, R, Python) to develop models.<br/>\r\r\n</li></ul>, <ul><li>Bachelor’s Degree in a relevant study area is required (e.g. computer science, mathematics, statistics, business analytics).\r\r\n</li><li>Master’s Degree in a relevant study area is preferred (e.g. computer science, mathematics, statistics, business analytics).</li></ul>]
## 353 [<ul><li><b>Algorithm design</b> - develop quantitative models, leveraging machine learning and advanced data analysis techniques</li><li><b>\r\r\nAlgorithm platform engineering</b> - architect and build technical platforms for our algorithmic engines to run at scale</li><li><b>\r\r\nInfluencing business decisions</b> - relentlessly leverage our work and encourage adoption across our business partners, to drive real business value</li><li><b>\r\r\nData mining</b> - uncover deep insight hidden in our vast repository of raw data, and provide tactical guidance on how act on findings</li></ul>, <ul><li>2+ years of experience in a quantitative or technical work environment or <b>advanced degree (PhD) </b>in quantitative field (e.g. mathematics, economics, computer science, physics, neuroscience, operations research etc.)</li><li>\r\r\nIntuitive sense of how quantitative and technical work aligns closely with business priorities and business value</li><li>\r\r\nAbility to effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions</li><li>\r\r\nHigh comfort level with programming, e.g. languages such as Python, R, Scala, Java, C++, C#, PHP, etc</li><li>\r\r\nKnowledge of quantitative methods - statistics, machine learning, deep learning, NLP, general data analysis</li><li>\r\r\nIntense intellectual curiosity - strong desire to always be learning</li><li>\r\r\nAnalytical, creative, and innovative approach to solving open-ended problems</li><li>\r\r\nHighly collaborative, team-player attitude</li></ul>, <ul><li>Wayfair , an online destination for all things home</li><li>\r\r\nJoss & Main , where beautiful furniture and finds meet irresistible savings</li><li>\r\r\nAllModern , unbelievable prices on everything modern</li><li>\r\r\nBirch Lane , a collection of classic furnishings and timeless home décor</li><li>\r\r\nPerigold , unparalleled access to the finest home décor and furnishings</li></ul>]
## 354 [<p>We've got an electric future. The energy industry is an exciting place, full of developing technology and new customer service possibilities. PPL Electric Utilities is looking for Data Scientists who can help us provide strong, reliable, affordable electric service to more than a million customers in Pennsylvania, while adapting to new opportunities that are changing our industry. People depend on us and we deliver. We'd love to have you on board as we tackle that challenge, in new ways, everyday.<br/>\r\r\n<br/>\r\r\nThe Data Scientist designs and implements processes and layouts for complex, large-scale data sets used for predictive modeling, data mining, and research purposes. They work with the business stakeholders to identify data requirements, and both model and frame business scenarios that are meaningful and impact critical business decisions.</p>, <p><b>Primary Responsibilities</b></p>, <p>Business Alignment and Thought Leadership:</p>, <ul><li>Work with the business stakeholders to identify data requirements</li><li>Model and frame business scenarios that are both meaningful and impact critical business processes and/or decisions</li><li>Effectively communicate complex technical data results to target audience</li></ul>, <p>\r\r\nData Collection and Integration:</p>, <ul><li>Parse and manipulate raw, complex data streams to prepare for loading into an analytical tool</li><li>Perform end-to-end data set identification, development, and implementation</li><li>Work with Data Analysts / Technologists to support data collection, integration and retention requirements based on the input collected with the business</li><li>Gather and process data from the Transmission, Distribution, Customer Service, and EU Service functions, and transform them into data products</li><li>Design and implement statistical data quality procedures around new data sources</li><li>Develop and implement data set processes and layouts</li></ul>, <p>\r\r\nDiscovery and Statistical Analysis:</p>, <ul><li>Implement data formulation process, including identification of attributes, exploratory data analysis, data transformation, and temporal data structures</li><li>Perform statistical analyses with both new and existing data sets in statistical packages</li><li>Understand the use and ability to employ the appropriate algorithms to discover patterns</li><li>Apply best available practices for artificial intelligence and machine learning</li></ul>, <p>\r\r\nReporting:</p>, <ul><li>Implement ongoing improvements to methods and algorithms that lead to findings, including new information</li><li>Guide /collaborate with Data Visualization Technologists to visualize and report data findings creatively in a variety of visual formats that appropriately provide insights to the business</li></ul>, <p>\r\r\nData Governance:</p>, <ul><li>Ensure that the information used follows the compliance, access management and control policies of the organization</li></ul>, <p>\r\r\nPhysical presence in the office/on-site to engage in face-to-face interaction and coordination of work among direct reports and co-workers.</p>, <p>\r\r\nMay be assigned an Electric Utilities emergency and storm role. This is a special assignment that comes into play during storms and other emergencies when the company needs to restore power or respond to other issues affecting customer service. This role may necessitate the need to work after-hours, outside of your normal schedule.</p>, <p><b>Candidate Qualifications</b></p>, <p>Candidates must meet the basic qualifications and pass all required tests or assessments to receive consideration.</p>, <p>\r\r\nIn compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility form upon hire.</p>, <p><b>Basic Qualifications</b></p>, <ul><li>Bachelor’s degree in data science, data analytics, computer science or mathematics and two (2) years of experience with data mining and statistical analysis. In lieu of experience, applicants with a Master's degree in data science, data analytics, computer science or mathematics will be considered.</li>\r\r\n<li>Able to understand various data structures and common methods in data transformation</li>\r\r\n<li>Excellent pattern recognition and predictive modeling skills</li>\r\r\n<li>Experience with object-oriented programming languages such as Python</li>\r\r\n<li>Knowledge of industry leading data quality and data protection management practices</li>\r\r\n<li>Proven ability to prioritize and execute tasks</li>\r\r\n<li>Highly self-motivated and directed with attention to detail</li>\r\r\n<li>Easily adapts to changing circumstances</li>\r\r\n<li>Able to understand business goals and strategic priorities</li></ul>, <p><b>Preferred Qualifications</b></p>, <ul><li>Master’s degree</li>\r\r\n<li>Five (5) years experience with SAS, ETL, data processing, database programming and data analytics</li>\r\r\n<li>Experience building and running machine learning algorithms</li>\r\r\n<li>Experience supporting fast-changing business organizations</li></ul>, <p><b>Equal Employment Opportunity</b></p>, <p>Our company is an equal opportunity, affirmative action employer dedicated to diversity and the strength it brings to the workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, protected veteran status, sexual orientation, gender identify, genetic information, disability status, or any other protected characteristic.</p>]
## 355 [<p><b>About the Role–You will:\r\r\n</b></p>, <ul><li>Develop data science methodologies to classify images\r\r\n</li><li>Utilize data science tools such as Python, TensorFlow, Keras, etc.\r\r\n</li><li>Work as part of a team to evaluate and refine new modeling approaches\r\r\n</li><li>Implement, train and deploy Deep Learning / Convolutional Neural Network models\r\r\n</li></ul>, <p><b>About Our Group:\r\r\n</b></p>, <p>The wafer process development group is looking for an intern to aid in development of image processing models for the automatic identification of defects in processed materials. The student will continually engage with Seagate engineers and scientists collecting and organizing data, proposing new methods to classify images, and evaluating / reporting results.\r\r\n</p>, <p>Our team’s mission is to develop new processes for state of the art recording head technology. Recording head process technology encompasses all disciplines employed in semiconductor wafer process technology, performed in a clean room environment.\r\r\n</p>, <p><b>About You:\r\r\n</b></p>, <ul><li>Student pursuing an MS or PhD degree in Computer Science, Computer Science & Engineering, or Electrical Engineering with experience in applied image processing and machine learning\r\r\n</li><li>Strong interpersonal and communication skills\r\r\n</li><li>Highly analytical and imaginative thinking ability\r\r\n</li></ul>, <p><b>Your Experience Includes:\r\r\n</b></p>, <ul><li>Demonstrated skills in Python, TensorFlow, and Keras\r\r\n</li><li>Experience with Linux systems\r\r\n</li><li>Background in image processing concepts (e.g. filtering, morphology, transforms, compression, etc.) is desired\r\r\n</li></ul>]
## 356 [<p>Position Overveiw:</p>, <p>\r\r\nThe Data Scientist will play a key role in delivering innovative scientific breakthroughs by applying predictive analytics, operations research, and statistics to product recommendations. You will work side closely with interdisciplinary scientists and stakeholders to predict product performance, while developing novel analytical models and best practices for complex data analyses</p>, <p>\r\r\nWhat you will do:</p>, <ul>\r\r\n<li>Design and prototype models with artificial intelligence, optimization, and statistics in order to solve challenging analytics problems influencing farmer decisions</li>\r\r\n<li>Collaborate with engineers to automate analytical models and deliver value at scale</li>\r\r\n<li>Conduct scientific presentations regularly with leadership team</li>\r\r\n<li>Collaborate with engineering teams to support product launch in FieldViewTM</li>\r\r\n</ul>, <p>Basic Qualifications:</p>, <ul>\r\r\n<li>PhD or Masters in Statistics, Mathematics, Computer Science, Engineering, or a related discipline</li>\r\r\n<li>at Least one year research experience with applying quantitative research (e.g. artificial intelligence or operations research) in solving real world problems</li>\r\r\n<li>At least one year experience with Python</li>\r\r\n<li>Ability to communicate complex ideas in a clear precise and actionable manner</li>\r\r\n<li>Ability to execute or propose and execute an analytics plan by collaborating with colleagues in as well as outside the team</li>\r\r\n</ul>, <p>Preferred Qualifications:</p>, <ul>\r\r\n<li>Ability to solve complicated problems by decomposing the problem and gradually demonstrating progess</li>\r\r\n<li>Demonstrated industrial experience of applying artificial intelligence, optimization and/or statistics to drive key decisions</li>\r\r\n<li>Familiarity with operations research, CPLEX and solving integer problems</li>\r\r\n<li>Experience with basic machine learning techniques, statistics and mixed models, as well as with R or other programing languages</li></ul>]
## 357 [<p><b>Job Summary:</b></p>, <p>\r\r\nTVG- Fanduel is looking for a Data Scientist who will support the product, marketing and TV teams with insights gained from analyzing company data to delight customers and drive business growth within the TVG Horse Racing segment. Comfortable questioning the status quo, the selected candidate is also technically competent and a collaborative leader who inspires, influences and motivates growth.</p>, <p>\r\r\n Possessing excellent interpersonal and communication skills, the candidate must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.</p>, <p>\r\r\n In a nutshell, the successful candidate is experienced, curious, commercially minded, customer-centric and has a strong bias to action.</p>, <p><b>\r\r\nEssential Functions:</b></p>, <ul><li>\r\r\nWork with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>\r\r\nMine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.</li><li>\r\r\nAssess the effectiveness and accuracy of new data sources and data gathering techniques.</li><li>\r\r\nDevelop custom data models and algorithms to apply to data sets.</li><li>\r\r\nUse predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.</li><li>\r\r\nCoordinate with different functional teams to implement models and monitor outcomes.</li><li>\r\r\nDevelop processes and tools to monitor and analyze model performance and data accuracy</li></ul>, <p><b>\r\r\nQualifications (Skills, Education, Experience):</b></p>, <ul><li>\r\r\n3+ years of data and insights experience, with specific gaming and/or gambling digital marketplace experience not required.</li><li>\r\r\nExperience working with and creating data architectures</li><li>\r\r\nExcellent written and verbal communication skills for coordinating across teams</li><li>\r\r\nCurious, rigorous, strategic thinker with strong problem-solving and analytical skills; able to execute tactically and hands-on as required.</li><li>\r\r\nConfident, entrepreneurial and an experienced decision-maker – comfortable with considered risk and change.</li><li>\r\r\nPassionate, driven, relentless</li><li>\r\r\nExperience using web services (i.e. Redshift or similar)</li><li>\r\r\nKnime is our main analytical tools – familiarity and experience of using such tool would be advantageous</li><li>\r\r\nKnowledge and experience in statistical and data mining techniques</li></ul>, <p><b>\r\r\n Physical demands (ADA):\r\r\n</b></p>, <p>The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p>, <p>\r\r\nWhile performing the duties of this job, the employee is regularly required to walk and talk or hear. The employee is frequently required to use hands to finger, handle, or use calculator or numerical keys on computer keyboard. The employee is frequently required to sit for long periods of time as well as bend, reach, and stoop, or kneel. Moderate physical activity is involved, including the ability to lift 15 pounds.</p>, <p>\r\r\nSpecific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.</p>, <p><b>\r\r\nWork Environment:</b></p>, <p>\r\r\nWork is normally performed in a typical interior/office work environment. Must be able to multi-task in a constantly changing environment. Requires the ability to meet pressure deadlines and time constraints.</p>, <p><i>\r\r\nThe above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.</i></p>, <p>\r\r\nEmployee Name________________________________</p>, <p>\r\r\nEmployee Signature_____________________________ Date___________________________</p>, <p>\r\r\nI have received a copy of the job description.</p>]
## 358 [<p>Are you passionate about data? Would you like the opportunity to work for an international organisation driving the Data Science area? If so Tek Experts are currently recruiting for a Data Scientist to analyse our data and provide predictive insights both internally and to our clients.</p>, <ul><li>Perform hands-on data analysis and modelling with huge data sets.</li>\r\r\n<li>Apply data mining, NLP, and machine learning to understand correlations and hence improve the performance of the business operations.</li>\r\r\n<li>Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.</li>\r\r\n<li>Create and refine features from the underlying data. You’ll enjoy and have intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat.</li>\r\r\n<li>Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models and communicate results to peers and leaders.</li>\r\r\n<li>Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.</li>\r\r\n</ul>, <ul><li>MS, or PhD in an appropriate field (Computer Science, Statistics, Physics, Applied Math, Operations Research, etc.).</li>\r\r\n<li>Extensive background in data science.</li>\r\r\n<li>Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R, SQL, Hive, Spark, Hadoop etc.</li>\r\r\n<li>Expertise in data mining algorithms and statistical modelling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, sequential pattern discovery, and text mining.</li>\r\r\n<li>Solid communication skills - demonstrated ability to explain complex technical issues to both technical and non-technical audiences</li>\r\r\n</ul>, <p>Tek Experts is an equal opportunity employer. We do not and will not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above listed items.<br/>\r\r\n</p>, <p>A career, not a job<br/>\r\r\n</p>, <p>Be part of something great<br/>\r\r\n</p>, <p>Continuous personal and professional learning<br/>\r\r\n</p>, <p>Fast-track career<br/>\r\r\n</p>, <p>Global Resources<br/>\r\r\n</p>, <p>Opportunity to realize your full potential<br/>\r\r\n</p>, <p>Unleash your potential<br/>\r\r\n</p>, <p>World-wide family</p>]
## 359
## 360 [<p>The Predictive Analytics, Data Scientist provides support in making strategic data-related decisions by analyzing, manipulating, tracking, internally managing and reporting data. These positions function both as a consultant and as a high-level data analyst. The position works with clients to develop the right set of questions/hypotheses, using the appropriate tools/skills to derive the best information to address customer needs.</p>, <p><b>\r\r\nPreferred:</b></p>, <ul><li><div>\r\r\nStatistical modeling (including use of panel data) and predictive modeling experience (including logistic regression, decision tree, random forest, neural network, clustering analysis)</div></li><li><br/>\r\r\n<div>\r\r\nExtensive experience with Excel, SAS, R and/or SQL</div></li><li><br/>\r\r\n<div>\r\r\nInterest in statistical methods, root cause analysis</div></li><li><br/>\r\r\n<div>\r\r\nDegree in mathematics, statistics, economics, or related degree. Prefer Master's degree</div></li></ul>, <p><b>\r\r\nEssential Functions</b></p>, <ul><li>Lead several projects of moderate to complex nature w/ minimal. feedback / rework from manager/mentor of project.</li><li>Leads large project teams and/or high priority efforts to actionable, outcomes oriented results.</li><li>Proactively creates, teaches and checks work, which may include analysis, results, project outcomes, programming, etc. of less senior staff for reasonability and accuracy.</li><li>Contributes to dept infrastructure (e.g. training, recruiting, client relations)</li><li>Negotiates with others to achieve deliverables on time and within budget.</li><li>Identifies the right issues to be communicated, the appropriate audience, vehicle and time.</li><li>Defines and frames complex multidimensional issues and develops time tables/processes for decision making.</li><li>Translates needs, issues, and ideas into effective strategies and action plans.</li><li>Formulates specific implementation plans in partnership w/ constituent groups (internal and external, National and across Regions) and evaluates the effectiveness of actions/programs implemented.</li><li>Develops creative alternative solutions.</li><li>Recognizes opportunities by making a connection between seemingly unrelated information.</li></ul>]
## 361 [<ul><li>Under general direction and minimal supervision perform data extraction and query data for <i>ad hoc</i> analyses and reports.</li>\r\r\n<li>Present concise reports and data visualizations for diverse audiences.</li>\r\r\n<li>Proficient in technical writing skills.</li>\r\r\n<li>Create and update automated processes.</li>\r\r\n<li>Triage coding problems and data-related issues.</li>\r\r\n</ul>, <ul><li>Identify patterns, trends, and relationships within data</li>\r\r\n<li>Research alternative development methodologies and make recommendations for team improvement.</li>\r\r\n<li>Provide ad hoc reporting, predictive modeling and risk stratification reporting as requested by staff.</li>\r\r\n</ul>, <p>Ensure the integrity of data used for Analytics.</p>]
## 362 [<p>Are you someone who enjoys designing, developing and implementing business intelligence solutions, then look no further than P3! As a global consulting, management and engineering services company, we develop and implement innovative solutions to today’s complex technology challenges and industry changes that help our clients succeed at every stage.</p>, <p>\r\r\nAs a Data Scientist, you will work closely with our clients to help them solve complex problems by analyzing terabytes of data. By taking initiative, you will help drive technical prototypes and proofs of concept. This will include understanding current client needs, identifying modeling/algorithm solutions, creating applicable data science solutions around customer outcomes and delivering value back to our clients.</p>, <p><b><i>\r\r\nA Day in the Life:</i></b></p>, <ul><li>\r\r\nWork with the data analytics team to define and implement machine learning solutions or advanced analytics use cases for Fortune 500 clients</li><li>\r\r\nAlways curious about data, constantly asking questions about extracting key insights to understand the domain</li><li>\r\r\nManage data received from multiple sources and cleanse data as needed</li><li>\r\r\nIntegrate data from multiple sources and develop data storage solutions</li><li>\r\r\nDevelop data analytics model for descriptive and predictive analytics using client provided data</li><li>\r\r\nManage the data quality feedback loop so that all issues are corrected in a timely manner</li><li>\r\r\nCreate visualization dashboards to draw insights and recommendations for clients</li></ul>, <p><b><i>\r\r\nWhat You Have:</i></b></p>, <ul><li>\r\r\nBachelor’s or Master’s Degree in Computer Science, Engineering, Mathematics, or a related field is preferred</li><li>\r\r\nAt least 1 year Data Analytics or IT implementation project experience</li><li>\r\r\nSoftware experience with R and/or Python</li><li>\r\r\nUnderstanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests …etc.</li><li>\r\r\nAble to apply statistics skills, such as distributions, statistical testing, regression…etc. into understanding key features of the data</li><li>\r\r\nFamiliar with data cleaning/processing techniques via R or Python</li><li>\r\r\nStrong communication skills with the ability to initiate high level discussions with the client</li></ul>, <p>\r\r\n<b><i>What you might also have:</i></b></p>, <ul><li>\r\r\nAutomotive IoT architecture and solution experience</li><li>\r\r\nAn entrepreneurial mindset and has the ability to work independently or within a team</li><li>\r\r\nThe ability to think critically and understand complex processes</li><li>\r\r\nPrevious client facing project experience</li></ul>]
## 363 [<p>Work that matters, fueled by passion for pets! At Hill’s we have a purpose. Every day around the world, we transform the lives of millions of pet families through pioneering innovation, amazing nutrition, and the best and brightest people. Founded more than 75 years ago with an unwavering commitment to pet nutrition, Hills' mission is to help enrich and lengthen the special relationships between people and their pets.</p>, <p>\r\r\nHILL'S® Prescription Diet® therapeutic pet foods, HILL'S® Science Diet® and HILL'S® Ideal Balance\231 wellness pet foods are sold worldwide. Hill’s is a division of Colgate-Palmolive, a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition, with sales of products in more than 200 countries. To learn more about Hill's and Colgate, please visit http://www.hillspet.com and http://www.colgatepalmolive.com, or find us on LinkedIn, Facebook, Twitter and YouTube.</p>, <p>\r\r\nLocation: Topeka, Kansas, United States<br/>\r\r\nRelocation Assistance Offered Within Country<br/>\r\r\n# 62547</p>, <ul><li>\r\r\nThe focus of the Data Scientist role is to analyze large amounts of complex raw and processed information to find patterns that will improve our understanding of the relationship between nutrition and health/wellbeing.</li><li>\r\r\nThe individual will be responsible for modeling complex scientific problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.</li><li>\r\r\nIn addition to advanced analytic skills, s/he will also be proficient at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating results.</li><li>\r\r\nShould be highly analytical with solid expertise in analysis, math and statistics.</li><li>\r\r\nCritical thinking, creativity and problem-solving skills are essential for success in this role.</li><li>\r\r\nWe also want to see experience and a passion for machine-learning and research.</li><li>\r\r\nPrimary goal in this role will be to lead projects to identify patterns from structured and unstructured data to generate hypotheses for new nutritional products and matching existing and future products to optimal market segments.</li><li>\r\r\nCollaboration with researchers in project teams; timely delivery of results and clear communication are essential to success.</li></ul>, <ul><li>\r\r\nPhD in Computer Science, Engineering, Applied Math, Biology, Physics or relevant quantitative science field with at least 2 years of experience in data analysis/ data science role or MSc with at least 6 years of relevant experience in data science role.</li></ul>, <ul><li>\r\r\nProven experience as a Data Scientist or Data Analyst with data mining responsibilities</li><li>\r\r\nDemonstrated understanding of machine-learning approaches, preferably in context of biomedical/biological research</li><li>\r\r\nKnowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset</li><li>\r\r\nExperience using business intelligence tools (e.g. Tableau) and distributed data frameworks (e.g.</li><li>\r\r\nHadoop)</li><li>\r\r\nAnalytical mind and business acumen</li><li>\r\r\nStrong applied math skills</li><li>\r\r\nProblem-solving</li><li>\r\r\nExcellent written and oral communication and presentation skills</li></ul>, <p>\r\r\nAre you interested in working for Hill's Pet Nutrition? You can apply to work with us using this online application. Attach all relevant documents such as a cover letter and resume or CV. Applications received by e-mail are not considered in the selection process.</p>, <p>\r\r\nBecome part of our team. We look forward to your application.</p>, <p>\r\r\nEqual Opportunity Employer<br/>\r\r\nColgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, or any other characteristic protected by law.</p>]
## 364 [<ul><li>\r\r\nDeveloping applications to implement solutions in the areas of Forecasting, Pricing Operations/Optimization, and Customer Segmentation.</li><li>\r\r\nWork with Business Partners understanding Forecasting Algorithms, Demand Patterns, SKU Life Cycles and Item parameters to test and implement “Best Fit” Algorithms to improve Elasticity Forecasting Accuracy.</li><li>\r\r\nWork closely with key partners to understand business requirements and produce technical designs that propose highly reliable and scalable platform architectures built with well-designed software components.</li><li>\r\r\nTake hands-on ownership implementing software components following engineering practices that drive agility and quality like test driven development, peer reviews, configuration management, monitoring and continuous integration & development</li><li>\r\r\nSet expectations and communicate progress with business partners driving adoption and scale</li></ul>, <ul><li>\r\r\n2-4 years of relevant industry experience plus MS/BS in Computer Science, Project Management, Computer Engineering, Information Systems, Operations Research, Industrial Engineering or related fields</li><li>\r\r\nProgramming skills in at least one modern language (Java, Go, Python, NodeJS, etc.) with at least a working knowledge of Python</li><li>\r\r\nExperience building monitoring and reporting metrics at various hierarchies using PowerBI pulling data from various sources such as Azure and Teradata</li><li>\r\r\nExperience working with RDBMS and NoSQL data stores on-premise and in the Cloud (e.g.: SQL Server, PostgresSQL, MongoDB, Cassandra, Azure Cosmos DB, DynamoDB, Redshift, Teradata, Oracle)</li><li>\r\r\nStrong written and verbal skills with ability to analyze business requirements, work closely with business partners to develop details, drive feature prioritization & adoption of applications.</li><li>\r\r\nProven ability to properly scope development and deliver on time.</li></ul>, <ul><li>\r\r\nExperience with pricing and customer segmentation a plus</li><li>\r\r\nExperience with Access and Alteryx a plus</li><li>\r\r\nExperience working with big data processing frameworks (e.g.: Hadoop, Spark, Databricks) is a plus</li></ul>]
## 365 [<ul><li>Master's in Computer Science, Math or related quantitative field (or BS/BA in Computer Science, Math or related quantitative field and 5 years of data mining experience).</li><li>Work experience with Hadoop, SAS, HBASE, Cassandra or other similar development platforms.</li><li>Expert knowledge in large scale information retrieval and statistical analysis.</li></ul>, <ul><li>3 years of experience in data mining and statistical analysis</li><li>Previous work experience in ecommerce</li><li>Experience with large-scale data analysis and a demonstrated ability to identify key</li><li>Insights from data to solve business problems</li></ul>, <ul><li>Strong communication and data presentation skills</li><li>Ability to quickly adapt to new technologies, tools and techniques</li><li>Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines</li><li>Ability to work with technical and non-technical team members</li></ul>]
## 366 [<ul><b>Role Summary:</b>\r\r\nThe Data Analytics Engineer will work with the team to create state-of-the-art data and analytics driven solutions, developing and deploying cutting edge scalable algorithms, working across GE Transportation to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies. You will be supporting all aspects of the Movement Planner business from early customer engagement through railroad operations modeling through customer analytics delivery.<b>\r\r\nEssential Responsibilities:</b><li>\r\r\nArchitect, Design and develop new systems and tools to enable users to consume and understand data faster<br/>\r\r\n</li><li>Work across multiple cross-functional teams in high visibility roles and own the data solution end-to-end<br/>\r\r\n</li><li>Adopt a FastWorks mindset to support Business data and analytics project<br/>\r\r\n</li><li>Help drive a best-in-class data engineering practice that will be leveraged across GE<br/>\r\r\n</li><li>Participates in setting strategy and standards through data architecture and implementation leveraging big data and analytics tools and technologies<br/>\r\r\n</li><li>Work in an Agile development environment<br/>\r\r\n</li><li>Engineer structured and unstructured data from source systems to fit business needs<br/>\r\r\n<br/>\r\r\n<b>Qualifications/Requirements:</b><br/>\r\r\n<p>Basic Qualifications<br/>\r\r\n</p></li><li>\r\r\nBachelor's Degree in Computer Science, Information Technology, Operations Research or equivalent (STEM) with minimum of 2 years of experience as data engineer / scientist / analyst<br/>\r\r\n<br/>\r\r\n<p>Eligibility Requirements:<br/>\r\r\n</p></li><li>\r\r\nLegal authorization to work in the US is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.<br/>\r\r\n<br/>\r\r\n<b>Desired Characteristics:</b><br/>\r\r\n</li><li>Demonstrated awareness of feature extraction and real-time analytics methods<br/>\r\r\n</li><li>Demonstrated awareness of analytic prototyping, analytic scaleup, analytic scaling, and solutions integration<br/>\r\r\n</li><li>Experience with tools such as GITHub<br/>\r\r\n</li><li>Experience using analytics tools such as R, H2O and/or MATLAB<br/>\r\r\n</li><li>Experience using JSON, Map-Reduce, Spark<br/>\r\r\n</li><li>Experience using Scripting (Pig, Python, Perl, etc)<br/>\r\r\n</li><li>Experience with Core Java, Java Web Services development SOAP, REST APIs<br/>\r\r\n</li><li>Experience working on Database(s), SQL<br/>\r\r\n<br/>\r\r\n<p>#DTR<br/>\r\r\n<br/>\r\r\n<b>About Us:</b><br/>\r\r\nGE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.<br/>\r\r\nGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.<br/>\r\r\n<br/>\r\r\n<b>Locations: </b>United States; Florida; West Melbourne<br/>\r\r\n</p><p>\r\r\nGE will only employ those who are legally authorized to work in the United States for this opening.</p></li></ul>, <p>Basic Qualifications<br/>\r\r\n</p>, <p>Eligibility Requirements:<br/>\r\r\n</p>, <p>#DTR<br/>\r\r\n<br/>\r\r\n<b>About Us:</b><br/>\r\r\nGE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.<br/>\r\r\nGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.<br/>\r\r\n<br/>\r\r\n<b>Locations: </b>United States; Florida; West Melbourne<br/>\r\r\n</p>, <p>\r\r\nGE will only employ those who are legally authorized to work in the United States for this opening.</p>]
## 367 [<ul>\r\r\n<li>Experience with programming languages, including Python, C++, R, Matlab, or Java</li>\r\r\n<li>Knowledge of statistics and mathematics principles</li>\r\r\n<li>Ability to learn new analytical techniques or programming languages</li>\r\r\n<li>Ability to obtain a security clearance</li>\r\r\n<li>BA or BS degree</li>\r\r\n</ul>, <ul>\r\r\n<li>Experience with Mathematics, Physics, CS, Engineering, or Statistics a plus</li>\r\r\n<li>Experience with writing research papers</li>\r\r\n<li>Knowledge of or willingness to learn machine learning capabilities</li>\r\r\n<li>MA or MS degree with strong analytical background a plus</li>\r\r\n</ul>]
## 368 [<p>\r\r\nOnce you're here, you'll work to make important, strategic decisions that influence the direction of the company. More specifically:</p>, <ul><li>\r\r\nDive into Zillow's internal and third party data (think Hive, Presto, SQL Server, Python, R, Tableau) to make strategic recommendations (e.g., improve underwriting assumptions, segmented home types, more accurate renovation forecasts).</li><li>\r\r\nAssist in the scoping and development of new underwriting practices. Compile and analyze data describing the performance of those initiatives (e.g., AB tests, pilots, incrementality tests).</li><li>\r\r\nDevelop a common language and approach to analyzing and communicating information and insights across teams.</li><li>\r\r\nCreate, maintain, and document a robust set of metrics to monitor day-to-day bug detection and long-term performance tracking.</li><li>\r\r\nTell stories that describe analytical results and insights in meetings of all sizes with diverse audiences.</li><li>\r\r\nConsult with business partners and provide analytics oriented thought leadership across a variety of non-technical audiences to ensure that all levels of Zillow Group make data driven decisions.</li></ul>, <p>\r\r\nYou will not shy away from complexity or uncertainty. You will develop a deep understanding of our mission, business models, and personas. We want you to use that intuition you've developed (both in business and real life) to find opportunities for growth and cultivate insights from our massive data sets. We're looking for a seasoned data scientist who has:</p>, <ul><li>\r\r\nAn undergraduate or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar) or demonstrable experience within data science and analytics.</li><li>\r\r\n2+ years of work experience involving quantitative data analysis and complex problem solving</li><li>\r\r\nFoundational analytical skills (demonstrated understanding of SQL, command of Excel, and experience using Tableau and R/Python)</li><li>\r\r\nA proficient understanding of real estate investment metrics</li><li>\r\r\n1-2 years experience in a highly analytical role in a financial services or technology setting with experience in financial modeling</li><li>\r\r\nStrong written, verbal, and visual communication skills to concisely communicate in a way that provides context, offers insights, and minimizes misinterpretation.</li><li>\r\r\nThe skills to work cross-functionally and push business partners to focus on realistic goals and projects.</li></ul>, <p>Zillow Group is owned, fueled and grown by innovators who help people make better, smarter decisions around all things home. We encourage one another at every level, and our efforts are supported by employee-driven, world-class benefits that enable us to enjoy our lives outside the office while building fulfilling careers that impact millions of individuals every day.</p>, <p><i>\r\r\nZillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.</i></p>]
## 369 [<ul>\r\r\n<li>Collaborate with teams to analyze problems.</li>\r\r\n<li>Learn a new programming language or data science technique - we continually build our skills and explore new things.</li>\r\r\n<li>Deliver solutions leveraging latest ML techniques, including exploratory data analysis, feature engineering, model selection, model evaluation and cross-validation, and deployment.</li>\r\r\n<li>Write data analysis reports for internal use.</li>\r\r\n<li>Enable others to scale their knowledge and increase impact.</li>\r\r\n<li>Work with customers to develop analyses that help them solve business problems and drive value.</li><br/>\r\r\n</ul>, <ul>\r\r\n<li>Ability to write sophisticated machine learning and data analysis code in R, Matlab, or Python</li>\r\r\n<li>Some ways previous successful candidates have demonstrated this are:</li>\r\r\n<li>By describing a data science model they developed that is deployed in a live setting within a resume or cover letter</li>\r\r\n<li>Made a high quality data science project available in a public forum like GitHub or Kaggle</li>\r\r\n<li>Published work in Data Science related journals or conferences such as ICML, NIPS, JML, KDD, and INFORMS</li>\r\r\n<li>Experience communicating effectively with people at all levels of an organization. Our data scientists regularly share complex insights with all kinds of people.</li>\r\r\n<li>Some ways previous successful candidates have demonstrated this are:</li>\r\r\n<li>Elaborating in a cover letter or resume ways that they have professionally collaborated with others in the organization and the impact that collaboration had on the organizations KPIs</li>\r\r\n<li>Teaching data science to non-data scientists in an academic or professional setting</li>\r\r\n<li>Experience using cloud-based ETL technologies for analyzing and processing large data sets (Azure and/or AWS)</li>\r\r\n<li>Quantitative background with 3+ years of experience using data to solve problems and answer questions</li>\r\r\n<li>Self-sufficient with basic T-SQL commands</li>\r\r\n</ul>, <ul>\r\r\n<li>Graduate degree in a technical field (computer science, applied mathematics, statistics, etc.)</li>\r\r\n<li>Previous experience building ML solutions that are embedded in SaaS applications</li>\r\r\n<li>Knowledge of stream processing technologies/architectures and how ML can be leveraged within them.</li></ul>]
## 370 [<ul><li>University degree in a science, technology, engineering, or mathematics field.</li><li>At least 2 years of industry experience in data-driven scenarios.</li><li>Deep skill in shaping, analyzing, and combining heterogeneous data sets.</li><li>Proficiency in writing code to assist analysis efforts and to interact with the various analysis and</li></ul>, <ul><li>A keen curiosity to learn beyond your boundaries and teach the same.</li></ul>, <ul><li>Experience working with big data technologies such as Hadoop and Spark.</li><li>Ability to communicate effectively and be inclusive to partners that come from non-technology/non-scientific backgrounds as they reach experimentation scale.</li></ul>]
## 371 [<ul><li>You work together with other scientists to develop and expand cutting-edge bioinformatics and computational tools and capabilities within the Genmab global organization.</li>\r\r\n<li>\r\r\nYou will utilize these computational tools and capabilities to gain insights that enable the identification and development of appropriate biomarkers in clinical development (pharmacodynamic, predictive, stratification, surrogate biomarkers, etc.).</li>\r\r\n<li>\r\r\nYou will use external high-density data (-omics, biomarkers, etc.) to complement and provide added context to internal clinical trials data.</li>\r\r\n<li>\r\r\nYou will lead the design, expansion, and maintenance of internal pipelines for computational analyses.</li>\r\r\n<li>\r\r\nSocialize and establish intuitive data analysis and visualization tools with Biologists/Immunologists and Clinical Scientists.</li>\r\r\n<li>\r\r\nYou manage bioinformatics projects, both in house as well as outsourced to service providers.</li>\r\r\n<li>\r\r\nYou work with internal and external parties in project- and expert-teams.</li>\r\r\n<li>\r\r\nYou report scientific results in patents, publications, regulatory documents and product-development reports.</li>\r\r\n<li>\r\r\nAs part of the Translational Research department, you will part be of a team of world-class Scientists and Research Associates with state-of-the-art knowledge of the antibody and oncology field with the goal to transform oncology.</li><br/>\r\r\n</ul>, <ul><li>You hold a MS or PhD degree in immunology, biology, with a bioinformatics, computational biology background or vice versa.</li>\r\r\n<li>\r\r\nYou have excellent knowledge and good understanding of bioinformatics, especially as applied to clinical trials preferably in the oncology setting.</li>\r\r\n<li>\r\r\nYou have good programming skills (Perl, Java, Python, R, etc.) and are experienced in using relational databases like Oracle, MySQL or PostgreSQL.</li>\r\r\n<li>\r\r\nYou have a deep knowledge and practical experiences with high density data types and relevant external resources (genomics, transcriptomics, proteomics, electronics medical records, clinical trials, etc.).</li>\r\r\n<li>\r\r\nYou can implement/adopt new algorithms for data analysis.</li>\r\r\n<li>\r\r\nYou have worked with regulated environments such as ISO/GCP/GMP when working with tools and databases.</li>\r\r\n<li>\r\r\nPublished in high quality journals, references, and external presentations.</li>\r\r\n<li>\r\r\nYou have a ‘getting things done’ mentality, you are creative, pro-active, enthusiastic, able to think ‘outside of the box’, and are goal orientated.</li>\r\r\n<li>\r\r\nYou design fit for purpose experiments that enable decision making and lend themselves to scalability.</li>\r\r\n<li>\r\r\nA proven ability to collaborate with a diverse and global group of Scientists and Research Associates.</li><br/>\r\r\n</ul>]
## 372 [<p><b>Position Description</b></p>, <ul><li>\r\r\nDemonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans</li><li>\r\r\nDevelops analytical models to drive analytics insights</li><li>\r\r\nLeads small and participates in large data analytics project teams</li><li>\r\r\nModels compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity</li><li>\r\r\nParticipates in the continuous improvement of data science and analytics</li><li>\r\r\nPresents data insights and recommendations to key stakeholders</li><li>\r\r\nProvides and supports the implementation of business solutions</li></ul>, <p><b>\r\r\nMinimum Qualifications</b></p>, <ul><li>\r\r\nBachelor of Science and 2 years' data science experience OR Master of Science and 1 years' data science experience.</li></ul>, <p><b>\r\r\nAdditional Preferred Qualifications</b></p>, <ul><li>\r\r\n4 years experience with SQL and relational databases (for example, DB2, Oracle, SQL Server).</li><li>\r\r\n4 years experience with statistical programming languages (for example, SAS, R).</li><li>\r\r\nBachelor's degree in Statistics, Economics, Analytics, Mathematics and 7 years experience in an analytics related field.</li><li>\r\r\nCertificate in business analytics, data mining, or statistical analysis.</li><li>\r\r\nDoctoral degree in Statistics, Economics, Analytics, or Mathematics and 1 year experience in an analytics related field.</li><li>\r\r\nMaster's degree in Statistics, Economics, Analytics, or Mathematics and 3 years experience in an analytics related field.</li></ul>, <p><b>\r\r\nCompany Summary</b></p>, <p><b>Position Summary</b></p>, <ul><li>\r\r\nDemonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans</li><li>\r\r\nDevelops analytical models to drive analytics insights</li><li>\r\r\nLeads small and participates in large data analytics project teams</li><li>\r\r\nModels compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity</li><li>\r\r\nParticipates in the continuous improvement of data science and analytics</li><li>\r\r\nPresents data insights and recommendations to key stakeholders</li><li>\r\r\nProvides and supports the implementation of business solutions</li></ul>]
## 373 [<p>Formation provides personalization for the largest enterprise businesses in the world. We work with high volume data streams to deliver tailored experiences and orchestrate physical and digital exchanges into a seamless journey. Our Data Science Team is transforming the way people engage across multiple industries.</p>, <p>\r\r\nYou'll collaborate closely with engineers and share responsibility throughout the product life-cycle. You'll work in small, self-sufficient teams with a common goal: deliver excellent data science solutions anchored in a culture of quality, delivery, and innovation.\r\r\n</p>, <p>As a Data Scientist at Formation you're capable of working in an agile data science environment to generate and test hypotheses quickly. You’re also passionate about improving, optimizing, and developing new reinforcement learning (RL) strategies to enhance the value of our platform.\r\r\n</p>, <p><b>Key Responsibilities:</b></p>, <ul>\r\r\n<li>Apply RL and statistical analysis to complex, real-world problems through massive data sets</li>\r\r\n<li>Independently design, test, and productionize RL-based experimentation to refine customer strategies</li>\r\r\n<li>Collaborate with colleagues in product and customer success roles, sharing responsibility throughout the product life-cycle</li>\r\r\n<li>Ability to explore an unfamiliar and large data sets with big data tools such as Hive or Spark</li>\r\r\n<li>Present methodology and results to external stakeholders and Fortune 500 clients</li>\r\r\n</ul>, <p><b>Skills and Experience:\r\r\n</b></p>, <ul><li>Minimum 2 years experience as a Data Scientist, prior software development experience is a plus</li>\r\r\n<li>Master's or Ph.D. in a relevant technical field (e.g. Computer Science, Mathematics, Statistics, Physics)</li>\r\r\n<li>Prior experience with RL frameworks such as TensorFlow or Vowpal Wabbit, and Spark is a plus</li>\r\r\n<li>Machine learning knowledge with a focus on contextual bandits, reinforcement learning, recommender systems, knowledge of common Data Science concepts related to e-commerce (e.g. lifetime value, net incremental revenue, churn) is a plus</li>\r\r\n<li>Demonstrated ability to communicate and collaborate with peers</li>\r\r\n<li>Demonstrated skills in result-driven problem solving</li>\r\r\n</ul>, <p><b>ABOUT FORMATION</b></p>, <p>\r\r\nFormation distills complex customer data into uniquely tailored experiences; we orchestrate physical and digital exchanges into one seamless journey. Our business is building lasting, trusted relationships between people and brands—and making it look easy.</p>, <p>\r\r\nWe're already reaching millions of people a day, and we're just getting started. Our founding leadership is equal parts business, design, and engineering—because we believe differing perspectives + passionate discourse achieve the greatest outcomes. We are collectively talented, but also humble. We give our whole selves. We love learning new things.</p>, <p>\r\r\nFormation is committed to inclusion and diversity and is an equal opportunity employer. All applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status.</p>, <p>\r\r\nAlso, we are thrilled to be named one of the Top 50 startups by LinkedIn! Every member of our team makes Formation a special place to work and grow. Come join us and see for yourself!</p>]
## 374 [<p><b>City</b></p>, <p>\r\r\nRochester</p>, <p><b>\r\r\nState</b></p>, <p>\r\r\nMinnesota</p>, <p><b>\r\r\nTelecommute</b></p>, <p>\r\r\nNo</p>, <p><b>\r\r\nDepartment</b></p>, <p>\r\r\nOffice of Access Management</p>, <p><b>\r\r\nWhy Mayo Clinic</b></p>, <p>\r\r\nPosition can be based out of any Mayo Clinic location: Rochester, Florida, Arizona, or Mayo Clicinc Health Systems (MCHS).</p>, <p><b>\r\r\nPosition description</b></p>, <p>\r\r\nThe Data Scientist position develops predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. Data scientists are responsible for providing Consultative Services at an institutional or enterprise level to departments/divisions and committees from any Mayo entity requesting assistance. The Data Scientist will work with other staff in developing demand models, facility capacity and sizing models, physician supply and demand studies, layout efficiency/optimization analysis, process simulation assessments, financial analysis, and strategic planning for outpatient practices of Mayo Clinic across the enterprise. This position also is responsible to gather, analyze, present findings to leadership. The Data Scientist will provide develop the analytics tools that can be used by other staff with non-technical expertise. Duties include: applies advanced statistical and optimization modeling techniques to build, maintain, and improve on multiple real time decision systems; models and frames business scenarios that are meaningful and which impact on critical business processes and/or decisions; develops innovative and effective approaches to solve client's analytics problems and communicates results and methodologies; automates models and metrics that track product performance; integrates analytics with other disciplines to support initiatives, research, and project requirements; communicates insights to key stakeholders, which include technical and non-technical audiences. Must be able to understand, interpret and convey technical information to others, serve as a good team player on large institution wide projects, and independently manage single institution small-scale projects of mild to moderate complexity through the entire project life cycle.</p>, <p><b>\r\r\nQualifications</b></p>, <p>\r\r\nMaster's degree required. If Master's degree, three years of relevant experience. If a Doctorate degree, one year of relevant experience.<br/>\r\r\nDegree in management, industrial engineering, statistics, economics systems engineering, operations research, analytics is preferred. Experience using advanced engineering techniques, including operational research, queuing analysis, theory of constraints and simulation. Expected level of experience in software programming using OR packages, simulation, R, Python or SAS, and other data mining tools.</p>, <p><b>\r\r\nAdditional qualifications</b></p>, <p>\r\r\nUnderstanding of health care industry, and associated key performance drivers, business trends, and the latest industry developments in Qualitative, Quantitative and advanced engineering analysis. Demonstrated project management skills, including working with a diverse team, managing budgets, milestones, and schedules. Certified Analytics Professional (CAP) is encouraged.</p>, <p><b>\r\r\nExemption status</b></p>, <p>\r\r\nExempt</p>, <p><b>\r\r\nCompensation Detail</b></p>, <p>\r\r\nEducation, experience and tenure may be considered along with internal equity when job offers are extended. The minimum salary every 2 weeks is approx $2669.60, based on a full-time position.</p>, <p><b>\r\r\nBenefits eligible</b></p>, <p>\r\r\nYes</p>, <p><b>\r\r\nSchedule</b></p>, <p>\r\r\nFull Time</p>, <p><b>\r\r\nSite description</b></p>, <p>\r\r\nPosition can be based out of any Mayo Clinic location: Rochester, Florida, Arizona, or Mayo Clicinc Health Systems (MCHS).</p>, <p><b>\r\r\nCategory</b></p>, <p>\r\r\nAdministration, Business, Finance</p>, <p><b>\r\r\nJob posting number</b></p>, <p>\r\r\n106688BR</p>, <p><b>\r\r\nRecruiter</b></p>, <p>\r\r\nBrianna Hanna</p>, <p><b>\r\r\nEqual opportunity employer</b></p>, <p>\r\r\nMayo Clinic is an equal opportunity educator and employer (including veterans and persons with disabilities).</p>, <p>\r\r\nEmail</p>]
## 375 [<p><b>Requisition ID:</b> 27143</p>, <p>\r\r\nWindLogics provides innovative forecasting and optimization solutions that enable low cost, reliable and sustainable power systems.</p>, <p><b>\r\r\nPosition Specific Description</b></p>, <p>\r\r\nWindLogics is a renewable energy forecasting and optimization company that performs R&D and new product development for our parent company, NextEra Energy. We’re currently looking for Data Scientists to join our Applied Math Group in St. Paul, Minnesota.</p>, <p>\r\r\nAs a Data Scientist in the Applied Math Group you will be asked:</p>, <ul><li>\r\r\nTo solve the problems by applying techniques from mathematics, statistics, computer science, and related disciplines</li><li>\r\r\nTo develop new products and services in collaboration with WindLogics’ engineering, science and business teams</li><li>\r\r\nTo apply mathematical formulations, scientific rigor and an independent viewpoint to business analyses</li><li>\r\r\nTo respond quickly and effectively to new (and recycled) business problems as they arise.<br/>\r\r\n</li></ul>, <p>\r\r\nThe Applied Math team is looking for Data Scientists who want to understand the mathematical properties of the algorithms they use; to write and share the best possible code; to keep learning new tools, algorithms and approaches; and to put their skills to work for one of the largest renewable energy fleets in the world.</p>, <p><b>Job Overview</b>\r\r\n</p>, <p>This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (e.g. “Big Data”).</p>, <p><b>Job Duties & Responsibilities</b>\r\r\n</p>, <ul><li>Develops machine learning, optimization and other modeling solutions</li><li>\r\r\nPrepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses</li><li>\r\r\nManipulates and analyzes data sets</li><li>\r\r\nPerforms other job-related duties as assigned</li></ul>, <p><b>Required Qualifications</b>\r\r\n</p>, <ul><li>Bachelor’s Degree</li><li>\r\r\nExperience: 3+ years</li></ul>, <p><b>Preferred Qualifications</b>\r\r\n</p>, <ul><li>Master’s Degree</li><li>\r\r\nDoctoral Degree</li></ul>, <p><b>Employee Group:</b> Exempt<br/>\r\r\n<b>Employee Type:</b> Full Time<br/>\r\r\n<b>Job Category:</b> Science, Research, and Technology<br/>\r\r\n<b>Organization:</b> WindLogics Inc<br/>\r\r\n<b>Location:</b> St. Paul, Minnesota<br/>\r\r\n<b>Other Work Locations: </b>Minnesota<br/>\r\r\n<b>Relocation Provided:</b> Yes, if applicable</p>, <p>\r\r\nNextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law. We are committed to a diverse and inclusive workplace.<br/>\r\r\n<br/>\r\r\nIf you require special support or accommodation while seeking employment with NextEra Energy, please send an e-mail to AskHR@NEE.com, providing your name, telephone number and the best time for us to reach you. Alternatively, you may call 1-844-694-4748 (Option 1, Press 6) between 8 a.m. and 5 p.m. EST Monday-Friday. Please do not use this line to inquire about your application status.<br/>\r\r\n<br/>\r\r\nNextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.<br/>\r\r\n<br/>\r\r\nNextEra Energy <b>does not</b> accept any unsolicited resumes or referrals from <b>any third-party recruiting firms or agencies</b>. Please see our policy for more information.</p>, <p>\r\r\n#LI-NG1</p>]
## 376 [<ul><li>Use modeling, machine learning and programming skills to generate insights by leveraging large amounts of health care data from both internal and external sources\r\r\n</li><li>Demonstrate how analytical results are connected to a business problem or objective\r\r\n</li><li>Present and provide recommendations to internal teams and stakeholders\r\r\n</li><li>Work with business partners to support the design of programs/campaigns that will improve the quality of health care, lower costs, and help our members achieve their best health\r\r\n</li><li>What you need\r\r\n</li><li>Strong programming and data manipulation skills\r\r\n</li><li>Proficiency in most areas of mathematical and statistical analyses, machine learning, predictive modeling, and data visualization.\r\r\n</li><li>A strong ability to communicate technical concepts and insights to business partners\r\r\n</li><li>Excellent problem solving skills as well as critical thinking and conceptual thinking abilities\r\r\n</li><li>A passion to help transform health care\r\r\n</li><li>Some relevant experience is preferred at the graduate level\r\r\n</li></ul>, <ul><li>Are currently pursuing a Master’s degree in Data Science, Mathematics, Statistics, Information Systems, Computer Science or other relevant majors\r\r\n</li><li>Have a 3.3+ major GPA (preferred)\r\r\n</li><li>Have an anticipated graduation date between December 2019 – May 2020</li></ul>]
## 377 [<p><b>Join our Innovative Team</b></p>, <p>\r\r\nWant to do more than just imagine the ways our world will move tomorrow? Join the technology company that’s transforming the future of mobility today.</p>, <p><b>\r\r\nAbout the position</b><br/>\r\r\nAptiv is actively looking for data scientist to conduct advanced data analytics, bring insight to product development, and identify strategic opportunities for Aptiv’s Safety Engineering and Autonomous Driving Business Organizations. To achieve this, the Data Scientist will check the quality of the source data, conduct data transformation, coordinate with Subject Matter Experts (SME) to understand the requirements, build models, and write the reports. The Data Scientist will also explore opportunities by conducting Proof of Concept, and promote to business attention & focus to provide strategic vision.<br/>\r\r\n<br/>\r\r\n<b>Responsibilities and Duties</b></p>, <ul>\r\r\n<li>Work together with SME to conduct original research, provide strategies for Aptiv’s Active Safety and Autonomous Driving Business.</li>\r\r\n<li>Coordinate with data engineers to prepare the data, build the models, extract information from massive amount of data and build evidence to story.</li>\r\r\n<li>Communicate with business by using visualization and report to edify recommendations for data driven solution.</li>\r\r\n<li>Support resource for predictive and prescriptive modeling.</li></ul>, <ul><li>Masters or PhD from a Science or Engineering Discipline</li><li>4 years' experience</li><li>Sound data engineering skills, know how to check the quality of the data. Can coordinate with data engineers to prepare the structure data and unstructured data</li><li>Can effectively use at least one analytic tool, like R, Python, Matlab or equivalent</li><li>Can work effectively in MS Windows environment</li><li>Experience with data acquisition</li></ul>, <ul><li>Electrical or mechanical engineering background</li><li>Programming experience</li><li>Database programming and management</li><li>Algorithm Modeling</li></ul>, <p><b>\r\r\nTraits We're Seeking</b></p>, <ul>\r\r\n<li>Curiously investigate everything – ability to solve problems analytically, creatively and collaboratively</li>\r\r\n<li>Lead with confidence – thought leaders who empower those around them</li>\r\r\n<li>Learn by doing – an entrepreneurial mindset that’s driven by hands-on experimentation</li>\r\r\n<li>Embrace resilience – seeing every challenge as a learning opportunity and invitation to grow</li></ul>, <p><b>\r\r\nAptiv Rewards and Advantages</b></p>, <ul>\r\r\n<li>Competitive compensation with bonus potential</li>\r\r\n<li>Competitive health benefits</li>\r\r\n<li>401K with matching contribution</li>\r\r\n<li>Learning and development opportunities</li>\r\r\n<li>Discount programs with various manufacturers and retailers</li>\r\r\n<li>Recognition for innovation and excellence</li>\r\r\n<li>Opportunities to give back to the community</li>\r\r\n<li>Meaningful work that makes a difference in the world</li>\r\r\n<li>Relocation assistance (if applicable)</li></ul>, <p><b>About Aptiv</b></p>, <p>\r\r\nAptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. Headquartered in Dublin, Aptiv has approximately 150,000 employees and operates 14 technical centers, as well as manufacturing sites and customer support centers in 45 countries. Visit aptiv.com.</p>, <p><b>\r\r\nAbout Advanced Safety and User Experience</b></p>, <p>\r\r\nAdvanced Safety and User Experience encompasses our deep expertise in software, centralized computing platforms, advanced safety systems and automated driving focusing on five areas that are transforming mobility: Safety Electronics, Infotainment, User Experience, Autonomous Driving and Connectivity & Security.</p>, <p>\r\r\nRSR</p>, <p><i>\r\r\nAptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, religion, national origin, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.</i></p>, <p><i>\r\r\nCandidates for positions with Aptiv must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire.</i></p>]
## 378 [<ul><li>Develop proficiency in Schneider’s business operations and practices and be able to apply the right methods, models and analysis for our business</li>\r\r\n<li>Prepare proposals, statements of work, project logs and presentations</li>\r\r\n<li>Identify data sources and prepare data including merging data from different sources, cleansing and manipulation\r\r\n</li><li>Work with Senior Data Scientists and Engineers to recommend approaches and design models, to implement modules and to deliver actionable business insights</li>\r\r\n<li>Prepare and deliver non-technical reports and presentations to executives and key decision makers indicating potential solutions and recommendations.\r\r\n</li></ul>, <ul><li>Annual profit sharing bonuses available</li>\r\r\n<li>Strong work/life balance that includes paid holidays and generous personal time off</li>\r\r\n<li>Medical, dental and vision insurance plus company-paid life insurance</li>\r\r\n<li>401(k) savings plan with company match plus a company-paid retirement plan</li>\r\r\n<li>Tuition reimbursement and free financial service assistance</li>\r\r\n<li>Health Care Spending Account</li>\r\r\n<li>On-site services including cafeteria, gym and fitness classes, walking/jogging trail, ATM, personal mail services, company store and much more</li>\r\r\n<li>Resilient, values-based culture that drives safety, integrity in every action, respect and excellence in all we do</li>\r\r\n<li>Individual development opportunities through company-paid training, active leadership involvement and more than 170 online personal development courses\r\r\n</li></ul>, <ul><li>Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or a related field, OR Bachelor's degree + 2 years’ industry experience required.</li>\r\r\n<li>Be able to build effective business relationships with clients, peers and associates.</li>\r\r\n<li>Demonstrated ability to understand the uses and limitations of statistical methodologies (time-series forecasting, regression analysis,random forecasts, k-means clustering and Bayesian methods, machine learning, etc.) as well as ability to select the appropriate methodology to complete assignments.</li>\r\r\n<li>Ability to learn and utilize statistical programming languages and tools such as R, SAS, Python SQL, SPSS and Tableau.</li></ul>, <ul>\r\r\n<li>We treat our customers, associates, shareholders and suppliers with honesty, dignity and respect.</li>\r\r\n<li>We are a desirable employer due to our commitment to achieving mutually beneficial, lasting relationships.</li>\r\r\n<li>We are a responsible member of the community.</li></ul>, <ul><li>Safety-first and always</li>\r\r\n<li>Integrity in every action</li>\r\r\n<li>Respect for all\r\r\n</li><li>Excellence in all that we do</li>\r\r\n<li>Rise to the challenge and become a part of the Schneider family. Be the difference with a leader in an industry that impacts the world. Apply today! http://www.schneiderjobs.com</li></ul>]
## 379 [<ul><li>Validate, analyze, and conduct statistical analysis on data using analytical tools (Excel, SQL, Python).\r\r\n</li><li>Work with SMEs to learn various data assets, processes, and methodologies\r\r\n</li><li>Work with other data science teams, SMEs, and engineers to write, tune, and configure anomaly detection algorithms to create the most effective anomaly detection solution for a given data set.\r\r\n</li><li>Contribute to design, development, and integration of company-wide data quality systems and monitoring\r\r\n</li><li>Improve data quality practices and implementations in response to client-reported issues and internal concerns.\r\r\n</li><li>Interpret results, present findings, and recommend alternative solutions to research management and business decision makers.</li></ul>, <ul><li>5+ years of experience in the analytical field\r\r\n</li><li>Bachelor Degree in Statistics, Decision Sciences, Economics, Physics, Mathematics, or similar field required.</li><li>\r\r\nExperience with statistical modeling and machine learning is a must.</li><li>\r\r\nExperience with SQL and Python a must</li><li>\r\r\nHighly competent in data manipulation and critical thinking.\r\r\n</li><li>Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities.\r\r\n</li><li>Knowledge of data mining and software applications.\r\r\n</li><li>Ability to clearly articulate research in written and verbal presentations with software developers, clients, management, and sales staff.\r\r\n</li><li>Experience with Excel, including pivot tables, formulae, VLOOKUPs, and graphing\r\r\n</li><li>Strong organizational skills including the ability to multi-task and prioritize efficiently to meet deadlines. Strong attention to detail and problem-solving skills. Self-motivated, takes initiative, loves to learn, and continuously seeks new knowledge. Strong documentation skills from both a business and technology perspective.\r\r\n</li><li>Effective troubleshooting and investigation skills to identify root cause of problems.\r\r\n</li><li>Proven ability to manage and perform multiple tasks under conditions of fluctuating workloads, competing requirements, and changing deadlines while maintaining accuracy; working independently and completing assignments with minimal direction. Self-starter who is self-motivated, efficient, responsible, and dependable.\r\r\n</li><li>Experience in the television/media research industry is a plus.</li></ul>, <ul><li>LI-EB1</li><li>MSEB</li></ul>]
## 380 [<ul>\r\r\n<li>Experience with statistics, mathematics, data engineering, machine learning, or visualization</li>\r\r\n<li>Ability to perform tasks under limited supervision from government staff technical leads</li>\r\r\n<li>Active Secret clearance</li>\r\r\n<li>BA or BS degree in Mathematics, Operations Research, CS, Data Science, Technology, Science, or Engineering</li>\r\r\n</ul>]
## 381 [<ul>\r\r\n<li>Experience with statistics, mathematics, data engineering, machine learning, or visualization</li>\r\r\n<li>Ability to perform tasks under limited supervision from government staff technical leads</li>\r\r\n<li>Active Secret clearance</li>\r\r\n<li>BA or BS degree in Mathematics, Operations Research, CS, Data Science, Technology, Science, or Engineering</li>\r\r\n</ul>]
## 382 [<p>Press Ganey - a mission driven healthcare data and services company - is looking for an energetic, creative and curious data scientist to join its Data Science team! We have an opening for a data geek (statistician, data scientist, economist, etc.) interested in producing novel – and impactful - data-driven insights, and developing world-class analytic products, from our database of over 1 billion patient experience and employee engagement results, representing over 20 thousand healthcare facilities. Positions are available for our Boston, Chicago, or Baltimore office</p>, <p><b>\r\r\nAbout Press Ganey:</b></p>, <p>\r\r\nPress Ganey provides both ongoing advisory services and consulting in all phases of performance improvement. Our patient experience advisors are uniquely trained and skilled to identify areas of opportunity and help clients implement targeted improvement plans. Our consultants, whose health care experience is a true differentiator, work in partnership with organizations to identify and implement best practices across their operations.</p>, <p>\r\r\nSimply put, we are vested in our clients’ success, and dedicated to helping them understand and improve every dimension of the patient experience.</p>, <p><b>\r\r\nDuties & Responsibilities:</b></p>, <ul>\r\r\n<li><p>Function as technical lead, in collaboration with other business partners serving the analytic client, to develop deliverables requirements</p>\r\r\n<ul>\r\r\n<li><p>Independently write programs in appropriate language (e.g. R, SQL, Python), to develop data (sets), from multiple databases, needed to support deliverables</p>\r\r\n</li>\r\r\n<li><p>Independently produce analysis (e.g. basic data analysis, statistical test, statistical modeling) or analytics (e.g. a dashboard), with appropriate tools (e.g. Excel, R, Python, HTML, Tableau)</p>\r\r\n</li>\r\r\n<li><p>Document work</p>\r\r\n</li>\r\r\n</ul></li><li><p>Produce written reports, for internal constituents, which summarize analytic deliverable; including methods, interpretations, and business implications</p>\r\r\n</li>\r\r\n<li><p>Provide ad-hoc analytic support to internal clients (e.g. sales, account management, advisory services, product management, and consulting), including answering data and methodology questions, interpretation of results and</p>\r\r\n</li>\r\r\n<li><p>Stay abreast of contemporary analytics, such as big data technologies (e.g. Azure, AWS, Hadoop, OLAP tools), analytic technologies (e.g. SAS, R, Python, Tableau, etc.), and statistical (including data-mining) methods</p>\r\r\n</li>\r\r\n<li><p>In collaboration with business partners (e.g. Knowledge Management, Engineering, Product Management, and Custom Reporting), develop prototypes of scalable, novel analytic solutions that address important business questions</p>\r\r\n</li>\r\r\n<li><p>Develop and prototype novel data sets that integrate existing PG or external data, for the purpose of developing novel analytic solutions</p>\r\r\n</li>\r\r\n<li><p>Stay abreast of healthcare industry issues affecting PG clients (e.g. value based reimbursement programs, meaningful use, “Population Health”)</p>\r\r\n</li>\r\r\n<li><p>Develop internal network of colleagues, and a corresponding reputation for collaboration, that removes barriers to analytic production and enables problem solving</p>\r\r\n</li>\r\r\n</ul>, <p>Function as technical lead, in collaboration with other business partners serving the analytic client, to develop deliverables requirements</p>, <ul>\r\r\n<li><p>Independently write programs in appropriate language (e.g. R, SQL, Python), to develop data (sets), from multiple databases, needed to support deliverables</p>\r\r\n</li>\r\r\n<li><p>Independently produce analysis (e.g. basic data analysis, statistical test, statistical modeling) or analytics (e.g. a dashboard), with appropriate tools (e.g. Excel, R, Python, HTML, Tableau)</p>\r\r\n</li>\r\r\n<li><p>Document work</p>\r\r\n</li>\r\r\n</ul>, <p>Independently write programs in appropriate language (e.g. R, SQL, Python), to develop data (sets), from multiple databases, needed to support deliverables</p>, <p>Independently produce analysis (e.g. basic data analysis, statistical test, statistical modeling) or analytics (e.g. a dashboard), with appropriate tools (e.g. Excel, R, Python, HTML, Tableau)</p>, <p>Document work</p>, <p>Produce written reports, for internal constituents, which summarize analytic deliverable; including methods, interpretations, and business implications</p>, <p>Provide ad-hoc analytic support to internal clients (e.g. sales, account management, advisory services, product management, and consulting), including answering data and methodology questions, interpretation of results and</p>, <p>Stay abreast of contemporary analytics, such as big data technologies (e.g. Azure, AWS, Hadoop, OLAP tools), analytic technologies (e.g. SAS, R, Python, Tableau, etc.), and statistical (including data-mining) methods</p>, <p>In collaboration with business partners (e.g. Knowledge Management, Engineering, Product Management, and Custom Reporting), develop prototypes of scalable, novel analytic solutions that address important business questions</p>, <p>Develop and prototype novel data sets that integrate existing PG or external data, for the purpose of developing novel analytic solutions</p>, <p>Stay abreast of healthcare industry issues affecting PG clients (e.g. value based reimbursement programs, meaningful use, “Population Health”)</p>, <p>Develop internal network of colleagues, and a corresponding reputation for collaboration, that removes barriers to analytic production and enables problem solving</p>, <p><b>Qualifications:</b></p>, <ul>\r\r\n<li><p>Intermediate to advanced proficiency with SQL, SAS, R, STATA or other high level data programming language</p>\r\r\n</li>\r\r\n<li><p>Basic proficiency with Python, PHP, Perl, VB, JavaScript, C++ or other programming language</p>\r\r\n</li>\r\r\n<li><p>Formal training or extensive applied experience with advanced statistical methods such as regression-type modeling and data-mining methods (e.g. classification trees)</p>\r\r\n</li>\r\r\n<li><p>Proficiency with data visualization</p>\r\r\n</li>\r\r\n<li><p>2+ years developing data that merges relational tables, either within a relational database or related “big data” environments (e.g. SQL Server, Hadoop)</p>\r\r\n</li>\r\r\n<li><p>2+ years of data and statistical analysis</p>\r\r\n</li>\r\r\n<li><p>1-2 years project management experience, including demonstrated success with cross-functional collaboration</p>\r\r\n</li>\r\r\n<li><p>1-2 years implementing novel analytics with minimal supervision</p>\r\r\n</li>\r\r\n</ul>, <p>Intermediate to advanced proficiency with SQL, SAS, R, STATA or other high level data programming language</p>, <p>Basic proficiency with Python, PHP, Perl, VB, JavaScript, C++ or other programming language</p>, <p>Formal training or extensive applied experience with advanced statistical methods such as regression-type modeling and data-mining methods (e.g. classification trees)</p>, <p>Proficiency with data visualization</p>, <p>2+ years developing data that merges relational tables, either within a relational database or related “big data” environments (e.g. SQL Server, Hadoop)</p>, <p>2+ years of data and statistical analysis</p>, <p>1-2 years project management experience, including demonstrated success with cross-functional collaboration</p>, <p>1-2 years implementing novel analytics with minimal supervision</p>, <p><b>Minimum Education:</b></p>, <ul>\r\r\n<li><p>Bachelors or higher in Mathematics, Statistics, Engineering, Economics, or other quantitative discipline.</p>\r\r\n</li>\r\r\n</ul>, <p>Bachelors or higher in Mathematics, Statistics, Engineering, Economics, or other quantitative discipline.</p>, <p>All positions at Press Ganey require an applicant who has accepted an offer to undergo a background check. The specific checks are based on the nature of the position. Background checks may include some or all of the following: SSN/SIN validation, education verification, employment verification, criminal check, search against global sanctions and government watch lists, fingerprint verification, credit check, and/or drug test. By applying for a position with Press Ganey, you understand that you will be required to undergo a background check should you be made an offer. You also understand that the offer is contingent upon successful completion of the background check and results consistent with Press Ganey's employment policies. You will be notified during the hiring process which checks are required for the position.</p>, <p>\r\r\nFor more information about Press Ganey, visit our web site at pressganey.com .</p>, <p>\r\r\nPress Ganey Associates, Inc. is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state or local protected class.</p>, <p>\r\r\nPay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.</p>]
## 383 [<ul><li>Strong communication and presentation skills</li>\r\r\n<li>High levels of curiosity, creativity, and problem solving capabilities</li>\r\r\n<li>Experience with Python</li>\r\r\n<li>Experience with image classification and object detection using a deep learning library or framework, such as Keras, fastai, Tensorflow or PyTorch</li>\r\r\n<li>Ability to work both independently and collaboratively with a team</li>\r\r\n<li>Experience working in AWS environment</li>\r\r\n<li>Educational background in data science</li><br/>\r\r\n</ul>, <ul><li>Experience applying convolution neural networks to perform object detection in satellite imagery</li>\r\r\n<li>Experience with Spark clustered computing</li>\r\r\n<li>Experience supporting Intelligence Community</li><br/>\r\r\n</ul>]
## 384 [<p><b>Position Description</b></p>, <ul><li>\r\r\nDemonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans</li><li>\r\r\nDevelops analytical models to drive analytics insights</li><li>\r\r\nLeads small and participates in large data analytics project teams</li><li>\r\r\nModels compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity</li><li>\r\r\nParticipates in the continuous improvement of data science and analytics</li><li>\r\r\nPresents data insights and recommendations to key stakeholders</li><li>\r\r\nProvides and supports the implementation of business solutions</li></ul>, <p><b>\r\r\nMinimum Qualifications</b></p>, <ul><li>\r\r\nBachelor of Science and 2 years' data science experience OR Master of Science and 1 years' data science experience.</li></ul>, <p><b>\r\r\nAdditional Preferred Qualifications</b></p>, <ul><li>\r\r\n4 years experience with SQL and relational databases (for example, DB2, Oracle, SQL Server).</li><li>\r\r\n4 years experience with statistical programming languages (for example, SAS, R).</li><li>\r\r\nBachelor's degree in Statistics, Economics, Analytics, Mathematics and 7 years experience in an analytics related field.</li><li>\r\r\nCertificate in business analytics, data mining, or statistical analysis.</li><li>\r\r\nDoctoral degree in Statistics, Economics, Analytics, or Mathematics and 1 year experience in an analytics related field.</li><li>\r\r\nMaster's degree in Statistics, Economics, Analytics, or Mathematics and 3 years experience in an analytics related field.</li></ul>, <p><b>\r\r\nCompany Summary</b></p>, <p><b>Position Summary</b></p>, <ul><li>\r\r\nDemonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans</li><li>\r\r\nDevelops analytical models to drive analytics insights</li><li>\r\r\nLeads small and participates in large data analytics project teams</li><li>\r\r\nModels compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity</li><li>\r\r\nParticipates in the continuous improvement of data science and analytics</li><li>\r\r\nPresents data insights and recommendations to key stakeholders</li><li>\r\r\nProvides and supports the implementation of business solutions</li></ul>]
## 385 [<p>Short Description\r\r\n</p>, <p><b>About Capgemini</b></p>, <p><b>A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of 200,000 team members in over 40 countries. The Group reported 2017 global revenues of EUR 12.8 billion.</b></p>, <p><b>Visit us at </b><b>www.capgemini.com</b><b>. </b><b><i>People matter, results count.</i></b></p>, <p><b>Job Title: Data Scientist</b></p>, <p><b>Position Type: Permanent/Fulltime</b></p>, <p>Natural Language Processing (NLP).</p>, <p>Deep Reinforcement Learning, Unsupervised Learning, and Generative models.</p>, <p>Computer Vision.</p>, <p>Recurrent Neural Networks, Sequence Learning and Sequence Analysis</p>, <p>Employ the best of Machine Learning research for solving business problems in Banking and Capital Market.</p>, <p>Build and refine machine Learning/deep learning algorithms that can find “useful” patterns in large multi-modal data (particularly, images, text, conversations, and transactional data).</p>, <p>Communicate (both oral and written) with clients</p>, <p>For more senior candidates: Lead, inspire and mentor junior scientists and research assistants / interns</p>, <p>Employ the best of Machine Learning research for solving business problems in Banking and Capital Market.</p>, <p>Build and refine machine Learning/deep learning algorithms that can find “useful” patterns in large multi-modal data (particularly, images, text, conversations, and transactional data).</p>, <p>Communicate (both oral and written) with clients</p>, <p>For more senior candidates: Lead, inspire and mentor junior scientists and research assistants / interns</p>, <p>An advanced degree in a numeric discipline (e.g., Statistics, Machine Learning, Computer Science, Engineering, and Physics).</p>, <p>Scientific expertise, strong track record, and real-world experience in Machine Learning and Deep Learning, especially with hands-on experience in hyper-parameter tuning and deep construction / distribution (e.g., architecture design in DNN/CNN/RNN, parameter initialization, activation, normalization, and optimization).</p>, <p>Expertise in programming (e.g., Python and C++) and computing technologies (high-performance computing, e.g., CUDA).</p>, <p>Ability to use existing deep / machine learning libraries (e.g., Python, TensorFlow, Torch, Theano, Caffe, and scikit-learn).</p>, <p>Experience with the data and platform aspects of the projects.</p>, <p>Review, direct, guide, inspire the research of the more junior scientists in the team (especially applicable to more</p>, <p><b>Disclaimer: Capgemini America Inc and its U.S. affiliates are EEO/AA employers. Capgemini conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, gender identity/expression, disability, citizenship status, genetics, or status as a Vietnam-era, special disabled and other covered veteran status. Click the following link for more information on your rights as an Applicant: </b><b>http://www.capgemini.com/resources/equal</b></p>]
## 386 [<p>The MAX team mission is to grow the M365 business by intelligently connecting Office end-users, admins, and IT Pros to essential knowledge and expertise that enables them to achieve more. The team is uniquely positioned to support E+D’s core business goals by delivering content, help, and support experiences that drive engagement, satisfaction, and reduce support incidents. Building upon the need to scale our work through collaborative practices, the MAX team has become a center of innovation related to expert contributions, including those experts found within Gig platforms. This includes the development of never before seen practices, tools, and roles that accelerate modern methods of working benefiting MAX while laying the groundwork for accelerating broader Modern Work and Modern Life initiatives. The team is leading Microsoft’s effort on connecting ourselves, our customers, and our products to on-demand experts via the Gig economy. Ultimately, the engagement with our experiences and services drives satisfaction, and signals generated through these engagements drives product improvement and is a core source of data for improving automation and AI across E+D.</p>, <p>\r\r\nTo successfully deliver upon this mission and goals, the MAX team is in need of data science experts who are passionate and knowledgeable on driving critical insights across the end-user customer journey. A key focus is driving a true understanding of user intents and behaviors that educate and empower PMs, content professionals, engineers, and business leaders to take action from these insights. This work can range from measuring and optimizing self-help & training that drives product engagement, to intelligently mapping user intents to qualified experts (on-demand and asynchronously), identifying and developing skill based gig worker talent pools, identifying intent and skills gaps across apps and talent pools, and measuring the overall effectiveness of MAX and gig-related work. The role also includes supporting O365 and M365 NPS initiatives – a key focus of the broader Customer Success Engineering (CSE) org.</p>, <ul><li>\r\r\nDevelop insights that improve M365 product engagement & customer sat, reduce support incidents, and help pioneer modern Gig practices focused on intent and skills analysis</li><li>\r\r\nDrive insights across the end-user customer journey</li><li>\r\r\nDesign, prototype, implement and test descriptive and predictive analytics models (includes user profile clustering and sequence mining to predict next best action, ML based intent analysis, etc)</li><li>\r\r\nDevelop operational models that run at scale thru partnership with data engineering teams</li><li>\r\r\nPartner with others to identify and explore opportunities for the application of machine learning and predictive analysis</li><li>\r\r\nProvide insights to support strategic decision-making, includes preparing and delivering insights and recommendations</li></ul>, <ul><li>\r\r\nA minimum of 3 years of relevant work experience in data-analysis related leadership roles</li><li>\r\r\nProven experience with sequence mining, user profile clustering, intent analysis, & recommendation systems</li><li>\r\r\nDemonstrate strong communications and presentation skills, and the ability to work across teams, executives, and subject matter experts to drive results</li><li>\r\r\nAble to break down complex business and technical problems into opportunities for analytical study.</li><li>\r\r\nExtensive knowledge and experience in data science including expertise in one or more of: machine learning, big data/data mining, statistics, business/customer intelligence, data modeling, databases, data warehousing, bioinformatics, information theory, or a similar field</li><li>\r\r\nInherently curious, energized by large challenges, and interested in improving the customer experience on on a globally scaled business.</li><li>\r\r\nMaster’s degree or higher required; emphasis in Computer science, Data Science, Statistics, Physics, Computational Biology or Bioinformatics strongly preferred.</li><li>\r\r\nExperience using at least one of the following technologies: R, Python, RapidMiner, SAS, SPSS, KNIME</li><li>\r\r\nTenacious problem solver that is comfortable with ambiguity</li></ul>]
## 387 [<ul><li>\r\r\nBecome familiar with our datasets and the analysis tools that we work with</li><li>\r\r\nLearn about the business and the problems (short-term and long-term) that we face</li><li>\r\r\nStart to fill holes in our analysis platform and identify the areas of our business that are most important to focus on</li></ul>, <ul><li>\r\r\nDeliver your first detailed analysis, which includes a strategic plan for how to act upon your findings</li><li>\r\r\nImprove the team’s access to advanced analysis tools and begin teaching them how to most effectively use them</li><li>\r\r\nIncrease your knowledge of the business and the teams involved, and prioritize the most impactful projects</li></ul>, <ul><li>\r\r\nEstablish a roadmap for advanced analysis projects for the next few months</li><li>\r\r\nImplement your first strategic initiatives and begin measuring the impact on key metrics associated with the initiative</li><li>\r\r\nEmpower the rest of the team to apply advanced analysis to their own projects using your analysis tools</li></ul>, <ul><li>\r\r\nProfessional experience using advanced analysis to guide strategic decisions at the company level</li><li>\r\r\nYou know how to use the right tool for the job, whether that's a programming language (like R or Python) or just plain old SQL</li><li>\r\r\nExperience working with statistics and supervised/unsupervised models</li><li>\r\r\nCommunication: you love to talk about your work and findings, and can clearly explain the details</li><li>\r\r\nFamiliarity with Amazon Web Services, Apache Spark, Tensorflow, etc</li><li>\r\r\nAbility to move quickly by making smart assumptions</li><li>\r\r\nExperience working with e-commerce marketplaces is a big plus</li><li>\r\r\nA love for travel, especially the hotel part!</li></ul>, <ul><li>\r\r\nAn official Best Places to Work as listed in the SF Business Times (we're in the top 10!)</li><li>\r\r\nA highly collaborative and supportive team environment that isn't afraid to take risks, and we encourage you let go of the fear of failure and give that crazy but brilliant idea a shot</li><li>\r\r\nWe’ll help you create goals that drive you, take on projects that excite you, and learn things that will surprise you</li><li>\r\r\nA beautiful workspace at Market & 5th St</li><li>\r\r\nExcellent health, dental, vision and 401k plans, and stock options too</li><li>\r\r\nFun stuff — quarterly travel stipend, flexible time off, catered meals, subsidized cell phone plans and fitness memberships, access to our very own hotel-inspired full bar, and the opportunity to spin the HT Roulette wheel to win a spontaneous weekend getaway!</li></ul>]
## 388 [<ul>\r\r\n<li>experience Data Mining large sets of text and training models with either Python, Scala, or Java.</li>\r\r\n<li>AWS is a plus!</li>\r\r\n<li>experience with Apache Spark or Hadoop</li>\r\r\n<li>Natural language processing is a plus!</li>\r\r\n</ul>]
## 389 [<p>Do you want to work at the forefront of artificial intelligence and machine learning? CapaxGlobal has a significant data analytics and management presence across many industries. With that footprint comes massive amounts of data that can inform us about markets and ways to improve our client business practices. This position will be part of the Data Science and Machine Learning team and will bring strong quantitative skills to our data science capabilities. You work in a multidisciplinary team exploring, connecting and mining internal data sources and will develop data models using algorithms for pattern detection and forecasting. In this position you will be managing projects that use advanced analytics techniques, such as optimization, forecasting, machine learning, predictive analytics, and statistical analysis, to develop solutions that help deliver significant value to a variety of Capax’s partners and clients. Candidates will be exposed to a wide spectrum of high visibility projects ranging from sales effectiveness, competitive intelligence, fraud detection, time series forecasting, operational efficiency, sourcing and procurement, supply-chain optimization and financial analysis.</p>, <ul><li>\r\r\nDevelop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects. Develop visualization products to share analysis across a large group of business users.</li><li>\r\r\nDesign strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.</li><li>\r\r\nContinuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions.</li><li>\r\r\nNetwork with business stakeholders to develop a pipeline of data science projects aligned with business strategies. Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.</li><li>\r\r\nParticipate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables.</li></ul>, <ul><li>\r\r\nBachelor’s degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research or related fields.</li><li>\r\r\nMaster’s degree in data science, applied mathematics, or bioinformatics preferred.</li><li>\r\r\nMinimum 6 years relevant work experience (if Bachelor’s degree) or minimum 3 years relevant work experience (if Master’s degree) with a proven track record in driving value in a commercial setting using data science skills.</li><li>\r\r\nIn-depth knowledge of various modeling algorithms e.g. Linear, GLMs, trees based models, neural networks, clustering, PCA, and time series models.</li><li>\r\r\nProficiency in R (e.g. ggplot2, cluster, dplyr, caret), Python (e.g. pandas, scikit-learn, bokeh, nltk), Spark – MLlib, H20, or other statistical tools.</li><li>\r\r\nMinimum 2 years experience working in a data science or machine learning environment.</li><li>\r\r\nIn-depth knowledge of databases, data modeling, Hadoop, and distributed computing frameworks.</li><li>\r\r\nExperience in software development environment, Agile, and code management/versioning (e.g. git).</li><li>\r\r\nStrong EDA skills and experience/knowledge.</li><li>\r\r\nAbility to understand complex and ambiguous business needs and applying the right tools and approaches.</li><li>\r\r\nCollaborative team player.</li><li>\r\r\nExcellent communication skills, both written and verbal.</li><li>\r\r\nExperience developing and testing machine learning and/or statistical projects.</li><li>\r\r\nStrong presentation skills. Ability to present statistical results to lay persons in an easy to understand way.</li><li>\r\r\nWe are looking for all levels of data science experience, jr through sr.</li></ul>]
## 390 [<p>Do you enjoy solving difficult problems? Are you resourceful? Do you enjoy working with data? Can you code? If so, AmTrust is looking to add another talented Data Scientist to their growing Advanced Analytics Team. AmTrust Financial Services Inc. (NASDAQ: AFSI) is a Fortune 500 a multinational property and casualty insurer specializing in coverage for small to mid-sized businesses. We love finding new and innovative ways to use our data and technology to provide a top-notch customer experience and we want your help!</p>, <p>\r\r\nAs a Data Scientist, you will unveil insights in our data that will allow us to improve the decision-making process both at an operational and strategic level. You will use the latest machine learning algorithms to develop predictive models to help us assess risks more accurately, handle claims more effectively, and understand and serve our customers more thoroughly.</p>, <p>Qualified applicants would preferably have 2+ years’ experience in the following skill areas:</p>, <ul><li>\r\r\nPython and R</li><li>\r\r\nMachine learning algorithms (i.e. GLM, Boosting, Deep Learning, etc...)</li><li>\r\r\nModel performance measures and validation techniques (i.e. K-fold cross-validation, train/test split, etc...)</li><li>\r\r\nSQL and relational databases (both transactional and analytical environments)</li><li>\r\r\nDeploying predictive models into production</li><li>\r\r\nCollaborative development and version control systems (i.e. Git)</li><li>\r\r\nUnix-like operating systems and comfort in the shell environment (i.e. Bash)</li></ul>, <p>Bonus points for experience in:</p>, <ul><li>\r\r\nDeep learning frameworks like Tensorflow or PyTorch and associated high-level API’s like Keras</li><li>\r\r\nnumpy, pandas, sklearn, matplotlib</li><li>\r\r\ndplyr, data.table, ggplot2</li><li>\r\r\nWeb-application development (Javascript, Node, Flask, Shiny, etc.)</li><li>\r\r\nWeb-scraping</li><li>\r\r\nHadoop-related components and tools (HDFS, Hive, Impala, Sqoop, Solr, etc…)</li><li>\r\r\nStrong performance in a Kaggle competition (top 10%)</li><li>\r\r\nSignificant contributions to an open-source project</li></ul>, <p>\r\r\nWe are looking for a strong communicator who is comfortable with immersing themselves deeply within a business process, learning new things, and finding unique and creative ways to help us grow. If you tend to think of yourself as part engineer, part statistician, part computer scientist, part detective, and part project manager then what are you waiting for? Apply today!</p>]
## 391 [<p><b>A Little About Us:</b></p>, <p>\r\r\nLendingTree was founded in 1996 by CEO Doug Lebda to help people comparison shop and get a great deal on the single biggest transaction of their lives: their mortgage. Since then, we’ve facilitated over 65 million loan requests, while becoming a household name and today we do much more than mortgages. We are the #1 online marketplace in the US for consumers to comparison shop for mortgages, personal loans, credit cards, student loans, auto loans and insurance.</p>, <p>\r\r\nHeadquartered in Charlotte, North Carolina and with offices in the Bay Area, Chicago, New York City, and Charleston –we’re looking for talented individuals that will continue making great products and increase our technology footprint.</p>, <p><b>\r\r\nDescription:</b></p>, <p>\r\r\nLendingTree’s Data Science team is searching for a Data Scientist that is passionate for all things data. We are looking for someone who is a self-starter but wants to work collaboratively with other members of the team, business, marketing, and engineering. In this role you will get exposure to all aspects of the organization, hungry to learn more from your insights. You should push the envelope of reality and build truly amazing products. Data Science at LendingTree is all about helping our consumers and we want you, as a member of the Data Science team, to strive to be an advocate and thought-provoking contributor of Data Science at LendingTree.</p>, <p><b>\r\r\nResponsibilities:</b></p>, <ul>\r\r\n<li>Perform model assessments, validation, and enhancement activities.</li>\r\r\n<li>Collaborate with software developers to plan and construct the architecture surrounding model deployment.</li>\r\r\n<li>Works with the business teams to set a clear vision and direction for experiments and models.</li>\r\r\n<li>Design and implement creative approaches to predictive modeling problems.</li>\r\r\n<li>Maintain a working knowledge of data mining and visualization best practices.</li>\r\r\n<li>Acquire any specialized domain knowledge required to be more effective in all required activities</li>\r\r\n</ul>, <p><b>Requirements:</b></p>, <ul>\r\r\n<li>Extensive hands on experience working with very large data sets, including statistical analyses, data visualization, data mining, and data cleansing/transformation.</li>\r\r\n<li>Have a working knowledge of Big Data platforms leveraging the Spark Ecosystem</li>\r\r\n<li>Knowledge of machine learning concepts: supervised/unsupervised learning, loss functions, regularization, feature selection, regression/classification, cross-validation, bagging, kernel methods, sampling, and probability distributions.</li>\r\r\n<li>Experience prototyping and developing data Science solutions.</li>\r\r\n<li>Strong ability to communicate complex analytical results in forms that resonate with scientific and/or business collaborators, highlighting actionable insights.</li>\r\r\n<li>Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/scientific problems across the company.</li>\r\r\n<li>Strong skills in SQL, Statistical Analysis (R, Python, Scala or equivalent). Apache Spark, Kafka, Kinesis, AWS ecosystem and Docker. Experience with Continuous Delivery for applications.</li>\r\r\n<li>Familiarity with writing queries and working with databases.</li>\r\r\n<li>Understand underlying scientific experimental setup, process, and analysis and to facilitate effective communication.</li></ul>]
## 392 [<p>The Data Scientist is an integral part of the Marketing Analytics team that utilizes the power of Artificial Intelligence to drive customer personalization and marketing effectiveness. This position will build machine learning applications, conduct statistical analyses and construct large scale prediction systems in a fast-paced, data-focused retail environment. The Data Scientist will also act as a subject matter expert, communicating the value and application of artificial intelligence across multiple internal business groups.</p>, <p><b>\r\r\nPRINCIPAL JOB DUTIES & RESPONSIBILITIES</b></p>, <p>\r\r\n1. Design and develop autonomous programs that optimize marketing tactics and generate efficiencies across the organization.</p>, <p>\r\r\n2. Develop a strong partnership and collaboration with the internal Ulta Beauty teams, performing as a team member who consults on how to attain the business goals by leveraging artificial intelligence and machine learning.\r\r\n</p>, <p>3. Select features, construct and enhance classifiers using machine learning techniques</p>, <p>\r\r\n4. Solve business problems by leveraging advanced artificial intelligence and machine learning approaches</p>, <p>\r\r\n5. Explain and present complex approaches in a concise manner to garner buy in from business partners</p>, <p>\r\r\n6. Assess and understand the cost/benefit relationship of developing and deploying learned models based on business needs</p>, <p>\r\r\n7. Ensure data integrity by leveraging proven methodologies, including data reconciliation, data integration and data audits.\r\r\n</p>, <p>8. Mentor less experienced team members on AI/machine learning methodology and techniques</p>, <ul><li>5+ years experience in artificial intelligence with a focus on machine learning and neural networks</li><li>\r\r\nMasters degree in Computer Science, Data Science, Mathematics, or Statistics or related degree.\r\r\n</li><li>Experience in cloud computing platforms such as Google Cloud Platform</li><li>\r\r\nExperience with deep learning framework (ex: Tensorflow, Torch, etc)</li><li>\r\r\nProven command of R or Python or Java</li><li>\r\r\nExcellent interpersonal, verbal, and written communication skills - must be able to communicate complex ideas in both technical and user-friendly language.\r\r\n</li><li>Excellent understanding of machine learning techniques and algorithms</li><li>\r\r\nExperience using statistical computer languages to manipulate data and draw insights from large data sets.</li><li>\r\r\nCapable of working in a dynamic environment, handling multiple projects, meeting deadlines, prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude.\r\r\n</li><li>Advanced knowledge of statistical techniques and concepts (regression, statistical tests and proper usage, etc.) and experience with their application\r\r\n</li><li>Energetic and self-motivated - must be extremely organized and detail oriented with an ability to make proactive recommendations.<br/>\r\r\n</li></ul>, <p><b>PREFERRED OR SPECIAL POSITION REQUIREMENTS</b></p>, <ul><li>\r\r\nExperience building and deploying autonomous/AI programs</li><li>\r\r\nCloud/Big Data platforms</li><li>\r\r\nTensorflow or similar tool</li><li>\r\r\nR, Python, Java</li><li>\r\r\nMust be able to see the “big picture” and drive towards business results</li><li>\r\r\nStrong sense of curiosity.</li><li>\r\r\nStrong attention to detail.</li></ul>, <p><b>\r\r\nWORKING CONDITIONS</b></p>, <ul><li>\r\r\nDynamic, fast-paced office environment and remote stakeholders.</li><li>\r\r\nOccasional training/conference travel possible.</li></ul>]
## 393 [<p><b>\r\r\nRESPONSIBILITIES</b></p>, <ul><li>\r\r\nBuild statistical models to both select and price insurance business</li><li>\r\r\nEvaluate and refine existing models to increase profitability</li><li>\r\r\nHelp build internal platforms and infrastructure to speed up the data science life cycle</li><li>\r\r\nClearly communicate model results to senior leaders</li><li>\r\r\nInfluence others through effective presentations</li><li>\r\r\nCollaborate with business experts to improve existing processes through analytics</li></ul>, <ul><li>\r\r\nStrong ability and willingness to learn new technologies in a short time</li><li>\r\r\nExcellent analytical skills, critical thinking, and interpersonal skills</li><li>\r\r\nProblem-solution orientation and passion for process improvement</li><li>\r\r\nAdvanced statistics, modeling, and data visualization experience</li><li>\r\r\nProven track record of success with broad direction and fluid requirements</li><li>\r\r\nStrong collaboration skills with diverse teams and executive management</li><li>\r\r\nDemonstrated ability to transform data into actionable information</li><li>\r\r\nExcellent verbal and written communication skills</li></ul>, <ul><li>\r\r\n2-5 years of experience in a data science or analytics role</li><li>\r\r\nProficient in SQL with experience extracting and cleaning data for modeling purposes</li><li>\r\r\nProficient in Python or R</li><li>\r\r\nDemonstrated knowledge of machine learning techniques and an understanding of traditional statistical methods such as GLMs</li><li>\r\r\nExcellent communication skills and the ability to communicate clearly to both technical and non-technical audiences</li><li>\r\r\nPublicly available code (e.g. GitHub, Bitbucket, Kaggle) is a plus</li><li>\r\r\nExperience in the P&C Insurance industry is helpful, but not required</li></ul>]
## 394
## 395 [<p><b>Data Scientist</b></p>, <p><b>Description</b></p>, <p>##</p>, <p>At Pearson, we’re committed to a world that’s always learning and to our talented team who makes it all possible. From bringing lectures vividly to life to turning textbooks into laptop lessons, we are always re-examining the way people learn best, whether it’s one child in our own backyard or an education community across the globe. We are bold thinkers and standout innovators who motivate each other to explore new frontiers in an environment that supports and inspires us to always be better. By pushing the boundaries of technology — and each other to surpass these boundaries — we create seeds of learning that become the catalyst for the world’s innovations, personal and global, large and small.</p>, <p>##</p>, <p>We are looking for a Data Scientist to join Pearson’s AI Products and Solutions team. Our mission is to enable the development of AI-first, outcome-driven products to improve learning experiences. The position provides the opportunity to engage in cutting-edge research on a cross-functional team and contribute to developing products that have an impact on millions of learners around the globe.</p>, <p>###</p>, <ul><li><p>Conduct research at the intersection of educational measurement/computer adaptive testing and machine learning, such as deep learning and reinforcement learning.</p></li>\r\r\n<li><p>\r\r\nLeverage complex data sources including emerging content types and technology-based student interactions.</p></li>\r\r\n<li><p>\r\r\nCollaborate and communicate effectively with both technical and non-technical stakeholders and partners as well as management and leadership.</p></li>\r\r\n<li><p>\r\r\nDevelop capabilities that make pioneering learning inferences by bridging the fields of psychometrics and machine learning.</p></li>\r\r\n</ul>, <p>Conduct research at the intersection of educational measurement/computer adaptive testing and machine learning, such as deep learning and reinforcement learning.</p>, <p>\r\r\nLeverage complex data sources including emerging content types and technology-based student interactions.</p>, <p>\r\r\nCollaborate and communicate effectively with both technical and non-technical stakeholders and partners as well as management and leadership.</p>, <p>\r\r\nDevelop capabilities that make pioneering learning inferences by bridging the fields of psychometrics and machine learning.</p>, <p><b>Qualifications</b></p>, <p>###</p>, <ul><li><p>Experience or interest in education and learning.</p></li>\r\r\n<li><p>\r\r\nExperience or interest in machine learning, deep learning, and reinforcement learning.</p></li>\r\r\n<li><p>\r\r\nPh.D. in a quantitative field or equivalent experience.</p></li>\r\r\n<li><p>\r\r\nExperience coding in Python to bring R&D capabilities towards production. Experience with R and/or TensorFlow a plus. Experience using version control and other software development tools a plus.</p></li>\r\r\n<li><p>\r\r\nA knack for creative problem solving and willingness to learn new technologies and skills.</p></li>\r\r\n</ul>, <p>Experience or interest in education and learning.</p>, <p>\r\r\nExperience or interest in machine learning, deep learning, and reinforcement learning.</p>, <p>\r\r\nPh.D. in a quantitative field or equivalent experience.</p>, <p>\r\r\nExperience coding in Python to bring R&D capabilities towards production. Experience with R and/or TensorFlow a plus. Experience using version control and other software development tools a plus.</p>, <p>\r\r\nA knack for creative problem solving and willingness to learn new technologies and skills.</p>, <p>#LI-TM</p>, <p>Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply.</p>]
## 396 [<ul><li>\r\r\nIdentify, analyze and pinpoint trends and patterns in our data sets that we can leverage to further our growth</li><li>\r\r\nCommunicate and present your findings to executives and key stakeholders</li><li>\r\r\nWork closely with management to prioritize business and strategic objectives using a data-driven approach</li><li>\r\r\nInteract with executives and managers to identify information needs based around the products and services we offer to track how they are being used by our clients</li><li>\r\r\nDesign and improve our data collection and database designs to optimize efficiency and improve the data quality</li><li>\r\r\nAcquire data from internal and external data sources that can be used to enhance our data sets and improve analysis</li></ul>, <ul><li>Masters in Computer Science, Mathematics, Statistics</li><li>\r\r\n5+ years' experience in a data science or data analysis role</li><li>\r\r\nWorking knowledge of mining and analyzing data sets to extract meaningful trends</li><li>\r\r\nExperience using statistical programming languages or toolkits for analyzing large, complex datasets</li><li>\r\r\nTechnical proficiency with optimizing data collection, database design, data mining and modeling/analysis</li><li>\r\r\nStrong analytical skills, attention to detail and accuracy</li><li>\r\r\nExpert problem solving skills and creative thinking ability</li><li>\r\r\nAbility to distill and present key findings to managers and other stakeholders (both technical and non-technical individuals)</li><li>\r\r\nProject management skills with experience planning and coordinating full project life-cycle for data and research focused projects</li></ul>]
## 397 [<ul><li>\r\r\nAnalyzing real world data and proposing novel solutions to user challenges.\r\r\n</li><li>Implementing pipelines to prepare and learning from real world data.</li><li>\r\r\nDesigning crowdsourcing pipelines for collecting reliable and unbiased data for experimentation.\r\r\n</li><li>Developing, refining, and evaluating online and offline product metrics.\r\r\n</li><li>Monitoring key product metrics and understanding root causes of changes.</li></ul>, <ul><li>\r\r\nPhD degree in Computer Science or Engineering.\r\r\n</li><li>5+ years of experience working with any of the following languages: C#, Python, or R.<br/>\r\r\n</li><li>2+ years of experience working with Hadoop.<br/>\r\r\n</li><li>3+ years of experience with statistical data analysis.</li></ul>, <ul><li>\r\r\nPublications in major HCI/ML/IR/NLP conferences would be a plus. Example: CHI, NIPS, ICML, KDD, WWW, SIGIR, WSDM, ACL, EMNLP.\r\r\n</li><li>A willingness to learn, share, and improve.\r\r\n</li><li>Superior verbal, visual and written communication skills</li></ul>]
## 398 [<p>Xylem (XYL) is a leading global water technology company committed to developing innovative technology solutions to the world’s water challenges. The Company’s products and services move, treat, analyze, monitor and return water to the environment in public utility, industrial, residential and commercial building services settings. Xylem also provides a leading portfolio of smart metering, network technologies and advanced infrastructure analytics solutions for water, electric and gas utilities. The Company’s more than 16,500 employees bring broad applications expertise with a strong focus on identifying comprehensive, sustainable solutions. Headquartered in Rye Brook, New York with 2017 revenue of $4.7 billion, Xylem does business in more than 150 countries through a number of market-leading product brands.</p>, <p>\r\r\nThe name Xylem is derived from classical Greek and is the tissue that transports water in plants, highlighting the engineering efficiency of our water-centric business by linking it with the best water transportation of all – that which occurs in nature. For more information, please visit us at www.xylem.com.</p>, <p><b>\r\r\nThe Role: </b>Xylem seeks to hire a New Graduate Data Scientist with a desire to join a team delivering Big Data applications in the Cloud. We’re focused on helping utility companies visualize and make use of the petabytes of data coming in from their smart meters so they can lower costs and reduce consumption. This is a market poised for explosive growth and this team is ready to take advantage of it.</p>, <p><b>\r\r\nFunctions:</b></p>, <ul><li>\r\r\nData curation</li><li>\r\r\nDevelop statistical modeling techniques for pattern recognition problems.</li><li>\r\r\nDevelop code in R, Java, Python, or other languages for statistical analysis, optimization, and simulation.</li><li>\r\r\nBuild models that maximize performance and accuracy.</li><li>\r\r\nStrategic planning and project management.</li></ul>, <p><b>\r\r\nRequirements:</b></p>, <ul><li>\r\r\nBS Degree (Master’s preferred) Statistics, Machine Learning, Operations Research, Applied Math; or equivalent.</li><li>\r\r\n0 – 3 years of data science experience.</li><li>\r\r\nExperience with statistical and mathematical software</li><li>\r\r\nProven ability to develop system prototypes.</li><li>\r\r\nSQL skills</li><li>\r\r\nExcellent oral and written communication skills.</li><li>\r\r\nStrong documentation skills.</li><li>\r\r\nUnderstanding of machine learning techniques and the ability to invent.</li><li>\r\r\nBig data experience- Hadoop, Spark, Map-reduce, Hive, etc.</li><li>\r\r\nExperience with Agile methodology or similar lean startup approach to building software.</li></ul>, <p><b>\r\r\nDesired:</b></p>, <ul><li>\r\r\nExperience with time series or signal processing analytics.</li></ul>, <p><b>\r\r\nPhysical Demands:</b></p>, <p>\r\r\n(The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)</p>, <ul><li>\r\r\nLight lifting (20-25 lbs.), office environment</li><li>\r\r\nRegularly required to sit or stand, reach, bend and move about the facility</li></ul>, <p><b>\r\r\nWork Environment:</b></p>, <p>\r\r\n(The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)</p>, <ul><li>\r\r\nOffice: Standard office equipment; work usually performed in an office setting free from any disagreeable elements.</li><li>\r\r\nStandard weekly job hours: 40 hours</li><li>\r\r\nTravel: <25% travel required to fulfill the duties listed above. Other travel as needed or required by the company.</li></ul>, <p><b>\r\r\nEOE including disability and veteran</b></p>]
## 399 [<p><b>Job Description:</b><br/>\r\r\nLeidos has an exciting full time job opening for a Data Scientist in Charlottesville, VA.POSITION/PROGRAM SUMMARY:Leidos is seeking a talented Data Scientist to join our team in Charlottesville, VA. We offer a unique combination of engaging work, collaborative culture, and work-life balance. You will work with user experience designers, technical writers, project managers, and other software engineers to build modern applications in an agile environment. Your team will use tools such as Jira for issue tracking, Git for source control, and continuous integration like Jenkins for testing.-Position requires US citizenship and ability to obtain a DoD security clearance.-Competitive benefits begin day one of employment.PRIMARY RESPONSIBILITIES:-Design, develop, and debug mission critical software.-Work closely with your team and our clients to develop the best technical designs for new features.-Perform unit testing of code, including manipulation of data for analysis of system requirements.-Plan and estimate development tasks and work to improve performance metrics.<br/>\r\r\nBASIC QUALIFICATIONS:-Bachelor's Degree in Computer Science, Computer Engineering, or related field and 2+ years of experience, or 4 years of experience in lieu of a degree.-Experience with Java, C++, or Javascript and a good grasp of your language's standard library.-A desire to learn new programming languages, tools, frameworks, and techniques.-Knowledge of either object-oriented or functional programming paradigms.-Must be able to obtain a DoD Secret Security Clearance.-US Citizenship is required.PREFERRED QUALIFICATIONS:-Experience with practical web development, particularly reactive design.-Experience developing and deploying applications on OSX, Linux, and Windows.-Experience with test-driven development as well as unit and regression testing.-Experience using relational databases, in particular MySQL, PostgreSQL, or SQL Server.-Familiarity with server-side technologies, such as Apache Tomcat, JBoss, and Node.js.-Familiarity with NoSql databases, especially ElasticSearch, Accumulo, and MongoDB.-Knowledge of Agile Development methodologies, particularly SCRUM or Kanban.</p>]
## 400 [<ul><li>\r\r\nA BS degree in CS, ML, NLP or related engineering degree required.</li><li>\r\r\ngraduate degree in computer science or a quantitative domain.</li><li>\r\r\nAt least 2 year experience in R&D one of the following fields: Machine Learning, Information Retrieval, Natural Language Processing, Data Mining and Analytics. Experience in Deep Learning is a plus.</li><li>\r\r\nExcellent problem solving and data analysis skills.</li><li>\r\r\nPassionate, self-motivated.</li><li>\r\r\nEffective communication skills, both verbal and written.</li><li>\r\r\nAt least 2 years of software design and/or development experience in real world applications</li></ul>]
## 401 [<p>Requisition Summary\r\r\n</p>, <p>PACCAR Technical Center Advanced Analytics is looking for a Data Scientist interested in all aspects of the data science cycle. A successful candidate will be curious, self-driven, analytical and excited to play with data.</p>, <p>Company Information\r\r\n</p>, <p>PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of premium light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates and also provides customized financial services, information technology and truck parts related to its principal business.</p>, <p>\r\r\nWhether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services, you can develop the career you desire with PACCAR. Get started!<br/>\r\r\n</p>, <p>Division Information\r\r\n</p>, <p>The PACCAR Technical Center provides engineering excellence to the truck, engine, and winch divisions of PACCAR Inc through innovative product development and testing. The Technical Center is located in the Skagit Valley about 65 miles north of Seattle, Washington.</p>, <p>Job Functions / Responsibilities\r\r\n</p>, <ul><li>Solve business problems using advanced statistical techniques including but not limited to regression/logistic regression, bootstrapping, decision trees, gradient boosting, neural network, clustering & binning, time series forecasting, and market basket analysis</li><li>\r\r\nAbility to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations</li><li>\r\r\nBuild and operationalize data pipelines, analytical tools and decision support models</li><li>\r\r\nCreatively identify and pursue predictive analytics opportunities to solve business problems and drive value</li><li>\r\r\nImplement data science best practices</li><li>\r\r\nDefine and evaluate key metrics and understand what moves them and why</li><li>\r\r\nOwnership of conceptualizing, developing, and maintaining dashboards and visualizations</li><li>\r\r\nStrategize on making analyses easily repeatable and accessible</li><li>\r\r\nProactively identify and develop expertise in new technologies, methodologies, and techniques</li><li>\r\r\nCommunicating technical ideas to non-technical stakeholders by translating complex findings and results into a compelling narrative</li></ul>, <p>Qualifications\r\r\n</p>, <p><b>Required Qualifications & Skills</b></p>, <ul><li>\r\r\nBachelors in a quantitative field, Master’s degree is a plus, and 2+ years of industry experience</li><li>\r\r\nSolid understanding of analytics techniques and statistics</li><li>\r\r\nAbility to write clean and concise code, especially in R</li><li>\r\r\nKnowledge and experience of writing and tuning SQL</li><li>\r\r\nExperienced performing thorough exploratory analysis</li><li>\r\r\nAbility to partner with cross-functional teams using strong written and verbal communication</li><li>\r\r\nDemonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment</li><li>\r\r\nInitiative on solving problems and completing tasks in a reasonable time frame</li><li>\r\r\nStrong written and verbal communication skills</li><li>\r\r\nPositive, can-do attitude</li></ul>, <p><br/>\r\r\n<b>\r\r\nPreferred Qualifications & Skills</b></p>, <ul><li>\r\r\nExperience with Warranty Analytics and/or Diesel Engines a plus</li><li>\r\r\nExperience in model building</li><li>\r\r\nPython, C # or Java programming skills</li><li>\r\r\nKnowledge of non-relational database systems</li><li>\r\r\nHadoop, Spark, MapReduce, Hive</li></ul>, <p>Education\r\r\n</p>, <p>Bachelors in a quantitative field, Master’s degree is a plus, and 2+ years of industry experience</p>, <p>Additional Job Board Information\r\r\n</p>, <p>PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability.</p>]
## 402 [<p><b>Sysco Associate Apply - Click </b><b>Here</b></p>, <p>\r\r\nCompany: BSCC Corporate<br/>\r\r\nLocation: US-TX-Houston<br/>\r\r\nZip Code: 77077<br/>\r\r\nMinimum Level of Education: Master's Degree<br/>\r\r\nMinimum Years of Experience: 3<br/>\r\r\nPosition Type: Exempt<br/>\r\r\nTravel Percentage: 0</p>, <p><b>\r\r\nMore information about this job:</b></p>, <p><b>\r\r\nOVERVIEW:</b><br/>\r\r\nAt Sysco, we offer our associates the opportunity to grow personally and professionally, to contribute to the success of a dynamic organization, and to serve others in a manner that exceeds their expectations. We are looking for talented, hard-working individuals to join our team. Come grow with us and let us show you why good things really do come from Sysco.</p>, <p><b>\r\r\nPOSITION SUMMARY:</b></p>, <p>\r\r\nThis role will be focused on applying advanced analytics to support the evaluation and development of freight cost and revenue optimization and strategy, as well as executable transportation network optimization solutions. This will require expert ability in all areas of analytics, including problem conceptualization; data acquisition, cleansing and manipulation; mathematical modeling; analytical and heuristic solution methods; and the ability to synthesize, visualize and communicate results and recommend a course of action. This role will also need to understand the transportation management system, be able to leverage the system to automate and execute analytical solutions.</p>, <p><b>\r\r\nRESPONSIBILITIES:</b></p>, <ul><li>\r\r\nPerform data mining, cleansing, and manipulation; identify necessary data elements and their sources, leverage appropriate tools to acquire and consolidate large volumes of data from different sources, and identify and resolve any irrelevant, corrupt, missing, or incongruent data</li><li>\r\r\nLead the development of predictive analytics to identify opportunities to reduce freight cost and target the right freight revenue, i.e. through engagement of lane segmentation, demand forecast and market intelligence data</li><li>\r\r\nUpgrade the work streams of transportation network optimization by developing business-friendly tools to increase operational efficiency, as well as leveraging models or scripts to better utilize commercial software to solve complicated or large-scale business problems</li><li>\r\r\nSupport the development of business cases for new solutions, with in-depth analysis of the challenge being addressed, the cost of the solution and projected business impact</li><li>\r\r\nIdentify and use appropriate technologies and platform to execute analytics against business requirements, including the ability to scale, deploy and distribute models across enterprise as needed</li><li>\r\r\nCollaborate with cross-functional teams to frame requirements within an analytics context in order to tackle business goals</li></ul>, <p><b>\r\r\nQUALIFICATIONS:</b></p>, <p>\r\r\nBasic Qualifications:</p>, <ul><li>\r\r\n3+ years of experience accessing and manipulating data in SQL or NoSQL database environments</li><li>\r\r\n3+ years of experience with scientific scripting languages (e.g., Python, R, SAS) and/or object oriented programming (e.g., C++, Java)</li><li>\r\r\n2+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis required</li><li>\r\r\n7-10 years of overall analytics experience, can be inclusive of post graduate work</li></ul>, <p>\r\r\nPreferred Qualifications:</p>, <ul><li>\r\r\nExperience in dynamic programming or text mining highly preferred</li></ul>, <p>\r\r\nEducation and / or Experience:</p>, <ul><li>\r\r\nMaster’s or PhD degree with a focus on a quantitative research and 2+ years of non-academic experience required; or equivalent experience in a R&D environment.</li></ul>, <p>\r\r\nProfessional Skills:</p>, <ul><li>\r\r\nProven capabilities executing analytics in a project-based environment for a wide range of applications in a corporate/production scale</li></ul>, <p>\r\r\nApplicants must be currently authorized to work in the United States.</p>, <p>\r\r\nSysco is proud to be an Equal Opportunity and Affirmative Action employer, and considers qualified applicants without regard to race, color, creed, religion, ancestry, national origin, sex, sexual orientation, gender identity, age, disability, veteran status or any other protected factor under federal, state or local law.</p>, <p>\r\r\nThis opportunity is available through Sysco Corporation, its subsidiaries and affiliates.</p>]
## 403 [<ul><li>University student in their junior year in a STEM related field (Ops Research, Statistics, Applied Math, Engineering, Business Analytics); expected graduation date of December 2019 or May 2020. Or, currently completing your first year in a non-business, 2-year masters program and have less than 2 years of work experience</li><li>\r\r\nDeep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms</li><li>\r\r\nExperience in one or more programming languages (R, Python, C++, etc.)</li><li>\r\r\nAbility to easily understand the complex algorithm and logic to process data</li><li>\r\r\nExperience working with a large volume of data with ability to solve performance issues</li><li>\r\r\nPractitioner of statistical data quality procedures or test driven approach for quality assurance</li><li>\r\r\nBasic business intuition and clear expertise in analyses with the ability to describe analytic processes, including when and why specific approaches are favored</li><li>\r\r\nExcellent communication and presentation skills with an ability to visualize and report insights creatively in variety of formats to various stakeholders</li><li>\r\r\nAbility to deliver in deadline-driven environment</li><li>\r\r\nTeam player with a passion for coaching colleagues and clients</li><li>\r\r\nWillingness to travel up to 80%</li></ul>, <p>For ~ 10 weeks over the summer, you’ll work with an Advanced Analytics team in one of our global offices. Blending strategic thinking with hands-on practicality, our teams of consultants and experts work to develop and implement complex analytics strategies that solve our clients' most critical problems.</p>, <p>\r\r\nOur teams are made up of analysts, mathematicians, data scientists, designers, software engineers, product managers, client development managers and general managers with a base of expertise in a function or industry. Data Scientists are staffed on engagements or product teams and are expected to leverage expertise to solve some of the most pressing and complex issues at clients.</p>, <p>\r\r\nOur intern program gives a group of undergraduate students and eligible graduate students first-hand experience with consulting at McKinsey. You will participate in an introductory training program, as well as a range of social activities to get to know your office and the firm. At the end of the summer, you may receive an offer to join us full-time after completion of your degree.</p>, <p>\r\r\nPlease review the team options and locations below to clarify your application preferences.</p>, <p>\r\r\nMcKinsey Analytics- (ACRE- Denver, Waltham; Financial Services Lab- Waltham; Geospatial - Waltham; Healthcare Analytics & Delivery- New York, Waltham; Ingenuity- Waltham; Journey Analytics- Waltham; People Analytics- Waltham; Pharma and Medical Products- New York; Public and Social Sector- New York, Waltham, Washington DC)</p>, <p>\r\r\nYou will apply an analytical, entrepreneurial mindset to foster innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client work</p>, <p>\r\r\nOperations Advanced Analytics<b>- (</b>Boston, Chicago) You will apply your data science toolkit across our operational service areas (ex. Supply Chain, Product Development, Manufacturing, etc.) to devise creative approaches for our clients in areas such as inventory management, predictive maintenance, or logistics network design</p>, <p>\r\r\nRisk Advanced Analytics<b>- (</b>Waltham) You will complete targeted quantitative analyses, build components of advanced models, and apply machine learning algorithms in different fields of risk (strategic risk management, operational/fraud, credit and market risk, pricing, asset evaluation and loss mitigation)</p>, <p>You will perform statistical data analyses, data mining and optimizations using multiple tools and techniques to get insights from large complex data sets.</p>, <p>\r\r\nIn this role you'll conduct hands-on rigorous quantitative analysis, including getting the data, cleaning it (when necessary / relevant), and exploring it for accuracy. You'll deploy statistical modeling and optimization techniques most suited for the business problem (using R, Python, SQL, and/or other relevant tools). With support, you'll advise client teams on analytic methodologies and approaches to address their specific needs, including discussing data collection, architecture, associated costs and trade-offs, and recommendations.</p>, <p>\r\r\nYou'll interpret outputs of statistical models and results to translate input from quantitative analyses into specific and actionable business recommendations and implications. This includes providing detailed documentation of modeling techniques, methodologies, assumptions made and process steps.</p>, <p>\r\r\nYou'll manage delivery of analytical solutions to client via written and verbal presentations, including capability building as appropriate. You may advance McKinsey’s overall knowledge base by providing analytical rigor and problem solving to our proprietary knowledge investments.</p>, <p>\r\r\nYou'll begin to own an analytics work stream, manage respective tasks and client project team members/experts, while building client relationships. You'll support analytics recruiting efforts (e.g., attends recruiting events, participates in WebExes, etc.)</p>]
## 404 [<ul><li>Experience with Python</li>\r\r\n<li>Experience with image classification and object detection using a deep learning library or framework, such as Keras, fastai, Tensorflow, PyTorch, or MXNet</li>\r\r\n<li>Ability to work both independently and collaboratively with a team</li>\r\r\n<li>High levels of curiosity, creativity, and problem solving capabilities</li>\r\r\n<li>Stays current with new deep learning methods and has experience implementing them</li><br/>\r\r\n</ul>, <ul><li>Familiarity with AWS, including EC2 and S3</li></ul>, <ul><li>Familiarity with Docker</li>\r\r\n<li>Experience with GANs</li>\r\r\n<li>Experience with R, Java, or other programming languages</li><br/>\r\r\n</ul>]
## 405 [<p>Piper Companies is currently looking for a <b>Data Scientist </b>in <b>McLean, VA </b>for one of the largest credit unions in the country for mortgages, automobile loans, credit cards, and checking.</p>, <p><b>Responsibilities for the Data Scientist include:</b></p>, <ul><li>Interact with and advise Management regarding credit risk issues; formulate product strategy recommendations, and evaluate the risk in the overall loan portfolio</li>\r\r\n<li>Autonomous end-to-end statistical model creation, Including but not limited to identifying objectives, compiling data, sampling/prepping data, feature selection, model comparison/selection, deployment and monitoring</li>\r\r\n<li>Ensure adequate internal control processes around model development, implementation and validation are established</li>\r\r\n<li>Develop, monitor and maintain of custom risk scorecards. Recommend and implement model changes to improve performance of credit functions</li>\r\r\n<li>Apply intermediate to advanced knowledge of financial processes and procedures, and routine modeling theories and techniques to create effective modeling solutions for a single or multiple business functions</li>\r\r\n</ul>, <p><b>Qualifications for the Data Scientist include:</b></p>, <ul><li>1+ years of experience in related work building statistical models, and advanced data analysis</li>\r\r\n<li>Master’s degree or PhD candidate in Mat, Economics, Statistics and/or Data Science</li>\r\r\n<li>Experience with Logistic Regression, Linear Regression, Time Series Analysis, Decision Trees, and Cluster Analysis</li>\r\r\n<li>Advanced programming skills to include knowledge of statistical programs (e.g. SQL, SAS, SPSS, R, Python)</li>\r\r\n<li>Must be eligible for full-time employment</li>\r\r\n</ul>, <p><b>Compensation for the Data Scientist include:</b></p>, <ul><li>Salary range: $80,000 - $130,000</li>\r\r\n<li>Full Benefits: Cigna Healthcare, MetLife Dental, VSP Vision, 401K with Voya and Paid Time Off</li><br/>\r\r\n</ul>, <p>Please send resumes to John Gray at jgray@pipercompanies.com</p>]
## 406
## 407 [<ul>\r\r\n<li>Responsible for surveillance activities for compounds in clinical development and for postmarketed products, including signal detection through review of data from multiple sources, including clinical trial and PV databases, and the literature.</li>\r\r\n<li>Maintains the strategy for surveillance activities and recommends revisions to the monitoring plan, as needed.</li>\r\r\n<li>Key contributor to signal assessment and ad hoc regulatory safety requests by analyzing data from the clinical trial and global safety database as well as literature and utilizing clinical judgement to determine the impact of the safety issue on the product’s benefit/risk profile.\r\r\n</li><li>Communicates findings of surveillance activities and safety assessments to a variety of audiences, including the Product Safety Team (PST) and management, to inform on necessary risk minimization activities, including label changes.\r\r\n</li><li>Works closely with the PST Lead physicians to develop strategies and approaches for routine and ad hoc safety deliverables.\r\r\n</li><li>Contributes to the strategy, authoring and review of global safety reports (PSURs/PBRERs, ACOs, DSURs, PADERs in accordance with regulatory requirements and standard operating procedures.</li>\r\r\n<li>Supports various process improvement initiatives for both Safety Data Sciences (including qualitative and quantitative approaches for signal detection) and PPS overall.\r\r\n</li><li>Supports the preparation and maintenance of safety sections of the Clinical Protocols, Clinical Study Reports as well as the Company Core Data Sheet and Risk Management Plan</li>\r\r\n<li>Contributes to safety activities between PST and internal and external partners, represents Safety (Safety Data Sciences) in internal and external cross-functional settings.</li></ul>, <ul>\r\r\n<li><p>Health science degree (e.g., PharmD, RN)\r\r\n</p></li><li><p>2-3 years of related work experience. Preference given to applicants with experience in the pharmaceutical industry.\r\r\n</p></li><li><p>Understanding of the drug development lifecycle, from clinical development through post-approval.\r\r\n</p></li><li><p>Ability to utilize clinical judgement and interpret medical safety data to assess safety issues within the context of the product’s benefit/risk profile</p></li>\r\r\n<li>\r\r\n<p>Excellent oral and written communication skills with the ability to manage multiple projects simultaneously</p></li>\r\r\n<li>\r\r\n<p>Experience working in a cross-functional environment</p></li>\r\r\n<li>\r\r\n<p>Experience manipulating/understanding large and complex data sets</p></li>\r\r\n<li>\r\r\n<p>Experience integrating data from multiple sources to answer specific questions</p></li>\r\r\n<li>\r\r\n<p>Basic Project Management skills and Microsoft WORD and EXCEL skills</p></li></ul>, <p>Health science degree (e.g., PharmD, RN)\r\r\n</p>, <p>2-3 years of related work experience. Preference given to applicants with experience in the pharmaceutical industry.\r\r\n</p>, <p>Understanding of the drug development lifecycle, from clinical development through post-approval.\r\r\n</p>, <p>Ability to utilize clinical judgement and interpret medical safety data to assess safety issues within the context of the product’s benefit/risk profile</p>, <p>Excellent oral and written communication skills with the ability to manage multiple projects simultaneously</p>, <p>Experience working in a cross-functional environment</p>, <p>Experience manipulating/understanding large and complex data sets</p>, <p>Experience integrating data from multiple sources to answer specific questions</p>, <p>Basic Project Management skills and Microsoft WORD and EXCEL skills</p>]
## 408 [<p>Xylem (XYL) is a leading global water technology company committed to developing innovative technology solutions to the world’s water challenges. The Company’s products and services move, treat, analyze, monitor and return water to the environment in public utility, industrial, residential and commercial building services settings. Xylem also provides a leading portfolio of smart metering, network technologies and advanced infrastructure analytics solutions for water, electric and gas utilities. The Company’s more than 16,500 employees bring broad applications expertise with a strong focus on identifying comprehensive, sustainable solutions. Headquartered in Rye Brook, New York with 2017 revenue of $4.7 billion, Xylem does business in more than 150 countries through a number of market-leading product brands.</p>, <p>\r\r\nThe name Xylem is derived from classical Greek and is the tissue that transports water in plants, highlighting the engineering efficiency of our water-centric business by linking it with the best water transportation of all – that which occurs in nature. For more information, please visit us at www.xylem.com.</p>, <p><b>\r\r\nThe Role: </b>Xylem seeks to hire a New Graduate Data Scientist with a desire to join a team delivering Big Data applications in the Cloud. We’re focused on helping utility companies visualize and make use of the petabytes of data coming in from their smart meters so they can lower costs and reduce consumption. This is a market poised for explosive growth and this team is ready to take advantage of it.</p>, <p><b>\r\r\nFunctions:</b></p>, <ul><li>\r\r\nData curation</li><li>\r\r\nDevelop statistical modeling techniques for pattern recognition problems.</li><li>\r\r\nDevelop code in R, Java, Python, or other languages for statistical analysis, optimization, and simulation.</li><li>\r\r\nBuild models that maximize performance and accuracy.</li><li>\r\r\nStrategic planning and project management.</li></ul>, <p><b>\r\r\nRequirements:</b></p>, <ul><li>\r\r\nBS Degree (Master’s preferred) Statistics, Machine Learning, Operations Research, Applied Math; or equivalent.</li><li>\r\r\n0 – 3 years of data science experience.</li><li>\r\r\nExperience with statistical and mathematical software</li><li>\r\r\nProven ability to develop system prototypes.</li><li>\r\r\nSQL skills</li><li>\r\r\nExcellent oral and written communication skills.</li><li>\r\r\nStrong documentation skills.</li><li>\r\r\nUnderstanding of machine learning techniques and the ability to invent.</li><li>\r\r\nBig data experience- Hadoop, Spark, Map-reduce, Hive, etc.</li><li>\r\r\nExperience with Agile methodology or similar lean startup approach to building software.</li></ul>, <p><b>\r\r\nDesired:</b></p>, <ul><li>\r\r\nExperience with time series or signal processing analytics.</li></ul>, <p><b>\r\r\nPhysical Demands:</b></p>, <p>\r\r\n(The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)</p>, <ul><li>\r\r\nLight lifting (20-25 lbs.), office environment</li><li>\r\r\nRegularly required to sit or stand, reach, bend and move about the facility</li></ul>, <p><b>\r\r\nWork Environment:</b></p>, <p>\r\r\n(The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)</p>, <ul><li>\r\r\nOffice: Standard office equipment; work usually performed in an office setting free from any disagreeable elements.</li><li>\r\r\nStandard weekly job hours: 40 hours</li><li>\r\r\nTravel: <25% travel required to fulfill the duties listed above. Other travel as needed or required by the company.</li></ul>, <p><b>\r\r\nEOE including disability and veteran</b></p>]
## 409
## 410 [<p>FleetPride is the largest after-market distributor of heavy-duty truck and trailer parts in the U.S. with some of the best and brightest people in the business! Partner with the best in the heavy-duty industry and apply today!\r\r\n</p>, <p><b>Position Summary\r\r\n</b></p>, <p>The Data Scientist will support corporate-wide analytic and decision support activities pertaining to supply chain planning and operations, sales and marketing analytics and customer analytics.\r\r\n</p>, <p><b>Essential Tasks\r\r\n</b></p>, <ul><li>Work collaboratively across multi-functional teams focused on enterprise data, data quality, business intelligence, operational data and enterprise resource planning integration to deliver innovation based on data driven insights.\r\r\n</li><li>Create and incorporate data analytics and modeling modules to improve supply chain solutions\r\r\n</li><li>Utilize advanced statistical techniques to create high performing predictive models and analysis to address business needs\r\r\n</li><li>Tests new statistical analysis methods and modeling techniques for continual improvement\r\r\n</li></ul>, <p><b>Skills\r\r\n</b></p>, <ul><li><p>Extensive SQL experience and business intelligence experience using Tableau, Power BI, SSRS and SSIS\r\r\n</p></li><li><p>Expertize in C#, .NET, Python or R\r\r\n</p></li><li><p>Experience with developing applications using MVC .NET framework.\r\r\n</p></li><li><p>Experience in creating and implementing machine learning algorithms and advanced statistics such as: regression, clustering, decision trees, CHAID, association, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks.\r\r\n</p></li><li><p>Ability to analyze data, draw insights, and prepare reports in a cohesive, intuitive, and simplistic manner\r\r\n</p></li><li><p>Work collaboratively across multi-functional teams focused on enterprise data, data quality, business intelligence, operational data and enterprise resource planning integration to deliver innovation based on data driven insights.\r\r\n</p></li></ul>, <p>Extensive SQL experience and business intelligence experience using Tableau, Power BI, SSRS and SSIS\r\r\n</p>, <p>Expertize in C#, .NET, Python or R\r\r\n</p>, <p>Experience with developing applications using MVC .NET framework.\r\r\n</p>, <p>Experience in creating and implementing machine learning algorithms and advanced statistics such as: regression, clustering, decision trees, CHAID, association, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks.\r\r\n</p>, <p>Ability to analyze data, draw insights, and prepare reports in a cohesive, intuitive, and simplistic manner\r\r\n</p>, <p>Work collaboratively across multi-functional teams focused on enterprise data, data quality, business intelligence, operational data and enterprise resource planning integration to deliver innovation based on data driven insights.\r\r\n</p>, <p><b>Attributes\r\r\n</b></p>, <ul><li><i>Oral Expression : </i>The ability to communicate information and ideas in speaking so others will understand.\r\r\n</li><li><i>Written Expression: </i>The ability to communicate job information so technician will understand the requirements.\r\r\n</li><li><i>Oral Comprehension: </i>The ability to understand information and ideas presented through spoken words and sentences.\r\r\n</li></ul>, <ul><li><b><i>Problem Sensitivity: </i></b>The ability to tell when something is wrong or is likely to go wrong. It does not only involve recognizing there is a problem but also solving it.\r\r\n</li><li><b><i>Deductive Reasoning: </i></b>The ability to apply general rules to specific problems to produce answers that make sense.\r\r\n</li></ul>, <p><b>Physical Demands\r\r\n</b></p>, <p>The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\r\r\n</p>, <p>Reaching above shoulder heights, below the waist or lifting as required to file documents and store materials.\r\r\n</p>, <p>Dexterity of hands and fingers to operate a computer keyboard or mouse, and to handle other computer components.\r\r\n</p>, <p>Occasional lifting of moderately heavy objects, such as computers and peripherals.\r\r\n</p>, <p>Sitting for extended periods of time.\r\r\n</p>, <p><b>Environmental / Atmospheric Conditions\r\r\n</b></p>, <p>The primary environment is characterized by ambient room temperatures, lighting and traditional office equipment found in a typical office environment.\r\r\n</p>, <p><b>Qualifications\r\r\n</b></p>, <ul><li>Masters Degree or PhD in a quantitative discipline such as statistics , Operations Research, Computer Science or related filed required\r\r\n</li></ul>, <p>Professional Experience\r\r\n</p>, <ul><li>Minimum of 2-3 years of experience in data analytics required. Post graduate research may be considered in lieu of experience.\r\r\n</li></ul>, <p><i>This job description in no way states or implies that these are the only duties to be performed by this employee. He or she will be required to follow any other instructions and to perform any other duties requested by his or her supervisor.\r\r\n</i></p>, <p>FleetPride is the leader in the industry comprised of retail, service, distribution and wholesale divisions.</p>]
## 411 [<ul><li>Leverage a wide range of data analysis, machine learning and statistical modeling algorithms and methods to solve business problems.\r\r\n</li><li>Evaluate the current operational environment and identify opportunities to leverage advanced analytics.\r\r\n</li><li>Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.\r\r\n</li><li>Generate deep insights through the analysis of data and understanding of operational processes and turn them into actionable recommendations.\r\r\n</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance.</li>\r\r\n<li>Become a subject matter expert and trusted advisor in the analytics discipline.</li>\r\r\n<li>Demonstrate excellent organization skills throughout the development of analytical solutions (data analysis documentation, hypothesis documentation, code management, etc.).</li>\r\r\n<li>Build and deploy prototype solutions to demonstrate ideas and prove concepts.\r\r\n</li><li>Effectively communicate with project team members and sponsors throughout the project lifecycle (status updates, gaps/risks, roadblocks, testing outcomes, etc.).\r\r\n</li><li>Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues.</li>\r\r\n<li>Work independently and collaboratively (as needed) within the team to achieve the desired outcomes of an analytical project.</li>\r\r\n<li>Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.</li></ul>, <ul><li>M.S. or Ph.D. in Statistics, Engineering, Computer Science, Mathematics, Economics or related quantitative field</li>\r\r\n<li>Background in Machine Learning with a strong foundation in statistical analysis and modeling preferred</li></ul>, <ul><li>3+ years experience developing predictive models, forecasting models and/or machine learning algorithms in a large-scale, corporate environment</li>\r\r\n<li>Hands-on experience with a wide variety of predictive modeling, machine learning, data mining, time series forecasting and optimization algorithms</li>\r\r\n<li>3+ years experience working with a variety of database environments (SAS, Oracle, Teradata, etc.)\r\r\n</li><li>Must have demonstrated ability to code complex programs in Python, SAS and SQL\r\r\n</li><li>Must have demonstrated experience in large scale data environments and ability to work efficiently with very large datasets</li>\r\r\n<li>Proven ability to strategically manage complex, highly-visible analytical projects from concept through implementation</li>\r\r\n<li>Experience leveraging job automation applications and environments (e.g., CRON, Control-M)</li>\r\r\n<li>Demonstrated ability to effectively manage all facets of the analytical project lifecycle (data exploration, hypothesis testing, code development, testing/validation, model deployment, etc.)</li></ul>, <ul><li>Outstanding critical thinking and problem solving skills</li>\r\r\n<li>Has an engineering mindset</li>\r\r\n<li>Self-starter mentality with the ability to delegate/collaborate with others</li>\r\r\n<li>Ability to translate ambiguous business problems into a conceptual analytical and technical architecture</li>\r\r\n<li>Passion for continuous learning and professional development</li>\r\r\n<li>Deep curiosity, creativity and imagination.</li></ul>, <ul><li>Ability to influence and become a trusted advisor</li>\r\r\n<li>Ability to partner closely with team members and business sponsors to clearly define the requirements of proposed solutions</li>\r\r\n<li>Ability to translate technical details, observations and results into business language</li>\r\r\n<li>Proven effective communication and presentation skills</li>\r\r\n<li>Ability to effectively navigate an occasionally ambiguous, semi-structured work environment\r\r\n</li><li>Ability to thrive in both independent and collaborative work environments</li></ul>]
## 412 [<ul><li>\r\r\nHave a strong fundamental understanding and deep experience with at least some machine learning algorithms (e.g. regressions, decision trees, k-means clustering, neural networks).</li><li>\r\r\nUnderstand Bayesian modeling techniques.</li><li>\r\r\nAre capable of analyzing data and making rigorous statements about what can or cannot be concluded.</li><li>\r\r\nHave experience designing and implementing model performance/validation assessments.</li><li>\r\r\nHave a background in statistics and understand different distributions and the conditions under which they’re valid.</li><li>\r\r\nKnow how code and have used data science tools and packages.</li><li>\r\r\nHave demonstrated a measurable impact based on the models you’ve created. It’s not always easy getting a model correct and we love talking about places we got stuck and working as a team to think through ideas that could unblock us.</li><li>\r\r\nHave a desire to ship features powered by data science (in other words, you’re excited by both upfront research and actually getting models into production at cloud scale).</li></ul>, <ul><li>\r\r\nBachelor’s or advanced degree in statistics, applied mathematics, computer science or other relevant quantitative discipline, or equivalent industry experience.</li><li>\r\r\nHave worked in a data science role for 2+ years professionally or academically and can talk about your projects and the techniques you used.</li></ul>]
## 413 [<p>This position embodies the Memorial Health System Performance Excellence Standards of Safety, Courtesy, Quality, and Efficiency that support our mission, vision and values. These standards are evident in the daily work, which includes the following:</p>, <ul><li>Works with teams to discover insights from analyzing operational, financial, quality, and peer comparison data.</li>\r\r\n<li>Under direct supervision, models complex business problems, discovers business insights and identifies opportunities through the use of statistical, mathematical, algorithmic, data mining and visualization techniques.</li>\r\r\n<li>Proficiency in integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating results.</li>\r\r\n<li>Works closely with subject matter experts and technical experts to understand proper data extraction and interpretation.</li><br/>\r\r\n</ul>, <p><b>Requirements for this position include:</b></p>, <ul><li>Bachelor’s degree or higher in the studies of Data Analytics, Statistics, Mathematics, Computer Science or other related field</li>\r\r\n<li>Completion of the MHS Lean Six Sigma Green Belt curriculum is required within 2 years of job placement.</li>\r\r\n<li>1-3 years’ experience in data analysis, operations improvement work, computer science/business intelligence work, or other related experience.</li>\r\r\n<li>Must have strong problem solving skills with a keen drive to learn about and explore datasets.</li>\r\r\n<li>Understanding of application and interpretation of statistical tools such as Hypothesis Testing, Non-Parametric Tests, Analysis of Variation, Various forms of Regression and factor analysis, as well as various forecasting and prediction techniques.</li>\r\r\n<li>Basic understanding of Structured Query Language (SQL) code to process and ETL techniques for extracting data from systems and transforming that data into the forms necessary for analysis.</li>\r\r\n<li>Experience with statistical computer packages (Minitab, SPSS, SAS) to manipulate data and draw insights from large data sets.</li>\r\r\n<li>Basic understanding of relational database (RDB) systems and how to explore various data architectures using standard tools (Ex: Microsoft SQL Management Studio, Oracle SQL Developer, etc.).</li>\r\r\n<li>Basic understanding of data mining concepts.</li></ul>]
## 414 [<p>\r\r\nOnce you're here, you'll work to make important, strategic decisions that influence the direction of the company. More specifically:</p>, <ul><li>\r\r\nDive into Zillow's internal and third party data (think Hive, Presto, SQL Server, Redshift, Python, Mode Analytics, Tableau, R) to make strategic recommendations (e.g., personalized user flows, segmented marketing audiences, more accurate pricing forecasts).</li><li>\r\r\nAssist in the scoping and development of new product features and business initiatives. Compile and analyze data describing the performance of those initiatives (e.g., AB tests, pilots, incrementality tests).</li><li>\r\r\nDevelop a common language and approach to analyzing and communicating information and insights across teams.</li><li>\r\r\nCreate, maintain, and document a robust set of metrics to monitor day-to-day bug detection and long-term performance tracking.</li><li>\r\r\nTell stories that describe analytical results and insights in meetings of all sizes with diverse audiences.</li><li>\r\r\nConsult with business partners and provide analytics-oriented thought leadership across a variety of non-technical audiences to ensure that all levels of Zillow Group make data-driven decisions.</li></ul>, <p>\r\r\nYou will not shy away from complexity or uncertainty. You will develop a deep understanding of our mission, business models, and personas. We want you to use that intuition you've developed (both in business and real life) to find opportunities for growth and cultivate insights from our massive data sets. We're looking for a seasoned data scientist who has:</p>, <ul><li>\r\r\nAn undergraduate or Master's degree in a quantitative field (e.g. science, engineering, economics, finance, statistics, or similar) or demonstrable experience within data science and analytics.</li><li>\r\r\n2+ years of work experience involving quantitative data analysis and complex problem solving (preferably focused on consumer-facing internet products).</li><li>\r\r\nFoundational analytical skills (demonstrated understanding of SQL, command of Excel, and experience using R and/or Python) and is a Tableau pro.</li><li>\r\r\nExperience directly querying multi-terabyte-sized data sets (e.g. with Hive and Presto) including clickstream data and raw data ingested from non-standard platforms (e.g., homegrown systems).</li><li>\r\r\nAn understanding of concepts, terminology, and measurement issues related to web traffic.</li><li>\r\r\nStrong written, verbal, and visual communication skills to concisely communicate in a way that provides context, offers insights, and minimizes misinterpretation.</li><li>\r\r\nThe skills to work cross-functionally and push business partners to focus on realistic goals and projects.</li></ul>, <p>Zillow Group is owned, fueled and grown by innovators who help people make better, smarter decisions around all things home. We encourage one another at every level, and our efforts are supported by employee-driven, world-class benefits that enable us to enjoy our lives outside the office while building fulfilling careers that impact millions of individuals every day.</p>, <p><i>\r\r\nZillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.</i></p>]
## 415 [<ul><li>\r\r\nBecome familiar with our datasets and the analysis tools that we work with</li><li>\r\r\nLearn about the business and the problems (short-term and long-term) that we face</li><li>\r\r\nStart to fill holes in our analysis platform and identify the areas of our business that are most important to focus on</li></ul>, <ul><li>\r\r\nDeliver your first detailed analysis, which includes a strategic plan for how to act upon your findings</li><li>\r\r\nImprove the team’s access to advanced analysis tools and begin teaching them how to most effectively use them</li><li>\r\r\nIncrease your knowledge of the business and the teams involved, and prioritize the most impactful projects</li></ul>, <ul><li>\r\r\nEstablish a roadmap for advanced analysis projects for the next few months</li><li>\r\r\nImplement your first strategic initiatives and begin measuring the impact on key metrics associated with the initiative</li><li>\r\r\nEmpower the rest of the team to apply advanced analysis to their own projects using your analysis tools</li></ul>, <ul><li>\r\r\nProfessional experience using advanced analysis to guide strategic decisions at the company level</li><li>\r\r\nYou know how to use the right tool for the job, whether that's a programming language (like R or Python) or just plain old SQL</li><li>\r\r\nExperience working with statistics and supervised/unsupervised models</li><li>\r\r\nCommunication: you love to talk about your work and findings, and can clearly explain the details</li><li>\r\r\nFamiliarity with Amazon Web Services, Apache Spark, Tensorflow, etc</li><li>\r\r\nAbility to move quickly by making smart assumptions</li><li>\r\r\nExperience working with e-commerce marketplaces is a big plus</li><li>\r\r\nA love for travel, especially the hotel part!</li></ul>, <ul><li>\r\r\nAn official Best Places to Work (we're in the top 10!)</li><li>\r\r\nThe opportunity to define mobile commerce and change the way people book travel</li><li>\r\r\nA people-focused organization dedicated to making sure you're challenged, learning, growing, and recognized for all the great work you do</li><li>\r\r\nThe camaraderie of a driven, agile team that is building something disruptive</li><li>\r\r\nExcellent health, dental, vision and 401k plans, and stock options too</li><li>\r\r\nFun stuff - quarterly travel stipend, flexible time off, subsidized cell phone plans and fitness memberships, and the opportunity to spin the HT Roulette wheel to win a spontaneous weekend getaway!</li></ul>]
## 416 [<ul><li>Reports to the Info Sciences and Analytics Division Director</li><li>Supports analytics development tasks as assigned</li><li>Supports custom tool development</li><li>Maintains and develops existing R and Python code</li><li>Supports innovation and marketing projects as assigned</li></ul>, <ul><li>Bachelor’s degree in computer science or related technical field</li><li>Experience programming in R and Python</li><li>Experience with version control (Github)</li><li>Experience with virtual machines and Docker</li><li>Demonstrated ability to work as a team contributor with a mission focus and emphasis on service, integrity, and excellence</li><li>Attention to detail</li><li>Demonstrated ability to work as a team contributor with a mission focus and emphasis on service, integrity, and excellence</li></ul>, <ul><li>Experience developing web applications with R Shiny</li><li>Visualization experience</li><li>Experience with data modeling and forecasting</li><li>Record of innovative and creative problem solving</li><li>Excellent verbal and written communication skills desired</li></ul>, <p>Primary Work Location: Arlington, Virginia – this position does not qualify for long-term mobile/remote work or telework.<br/>\r\r\nSpecial Work Conditions: Possible travel to other CONUS locations. May require work outside of corporate core business hours.<br/>\r\r\nSecurity: U.S. citizenship required. Must have the ability to obtain a US secret security clearance if not currently cleared.</p>, <p>Virginia Tech Applied Research Corporation is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, military status, gender, religion, age, or disability.</p>, <p>Virginia Tech Applied Research Corporation:<br/>\r\r\nThe Virginia Tech Applied Research Corporation (VT-ARC) complements the broad and rich research enterprise found at Virginia Tech. VT-ARC forms multi-disciplinary teams to apply innovative solutions to the real-world problems that strain our social, political, industrial, and economic foundations. Specializing in the identification and use of fundamental research, VT-ARC performs contract R&D on larger scale problems and at technology readiness levels beyond those generally addressed by academia. VT-ARC combines significant technical expertise with program management skills to deliver robust solutions on schedule and on budget.<br/>\r\r\n<br/>\r\r\nApply for this Position<br/>\r\r\nImportant notice:<br/>\r\r\nTo be considered for this position, applicants are required to upload a resume and cover letter (a single document is preferred). Please complete the application process by completing the web form below and follow the upload instructions that follow.</p>]
## 417 [<ul><li>Qualification: Postgrad in one of the following fields with strong academic credentials:.</li><li>Computer Science/IT.</li><li>Operations Research/Applied Math.</li><li>Engineering.</li><li>Statistics.</li></ul>, <ul><li>'Works with the business team to identify the right business objective and data required to answer the same.</li><li>Executes a data collection plan from both structured and unstructured sources that helps in data exploration , hypothesis testing and statistical modeling.</li><li>Analyzes data and generates insights that can articulated to business stakeholders.</li><li>Develops POCs that can be used to generate business decisions.</li><li>Simulates several scenarios through an interactive visualization that deepens the business understanding with underlying trends and root causes.</li></ul>, <ul><li>' Communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights.</li><li>Coordinates in communicating the data needs with both technology and business teams to ensure that right data is captured for analysis and modeling.</li></ul>, <ul><li>' Ensure that the work goes ahead in a way that conforms to DS delivery framewrok and fulfills all outputs specifically outlined by stakeholders.</li><li>Work with Business Operations and Delivering teams on designing, building and deploying data analysis systems for large data sets.</li><li>Execute flawlessly on the DS project plan by adhering to timelines.</li><li>Execute the design, analysis, or evaluation of assigned projects using sound engineering principles and adhering to business standards, practices, procedures, and product / program requirements.</li></ul>, <ul><li>' Explore and examine data from multiple disparate sources.</li><li>Prepare a data collection plan from both structured and unstructured sources.</li><li>Collaborate and coordinate with Technology and Business teams for all data needs.</li><li>Expert level proficiency in data handling (SQL).</li></ul>, <ul><li>' Perform exploratory data analysis and generate insights.</li><li>Validate hypothesis developed during exploration phase.</li><li>Present initial results to business stakeholders and identify the next steps.</li></ul>, <ul><li>' Create models using one or more of the platforms like R, SAS, Python, Matlab Model creation would involve one or more of the following technqiues:.</li><li>1 Classification.</li><li>2 Clusterning.</li><li>3 Time Series.</li><li>4 Forecasting.</li><li>' Testing and validating the model.</li><li>Deriving insights and recommendations from the models.</li><li>Performing data visualization and presentation to clients.</li></ul>, <ul><li>' Provide thoughtleadership and dependable execution on diverse projects.</li><li>implement best practices and technology.</li><li>Discover new opportunities where advanced analytical techniques can be leveraged for solving business problems.</li></ul>, <ul><li>Document all modeling steps in a systematic way including modeling process, insights generated , presentations , model validation results and checklists built in the project.</li><li>Prepare a one pager document that outlines and quantifies the business impact due to the DS project.</li></ul>, <ul><li><b>Proficiency Legends</b></li></ul>, <p><b>Employee Status : </b>Full Time Employee</p>, <p><b>\r\r\nShift : </b>Day Job</p>, <p><b>\r\r\nTravel : </b>No</p>, <p><b>\r\r\nJob Posting : </b>Oct 04 2018</p>, <p>\r\r\nCognizant US Corporation is an Equal Opportunity Employer Minority/Female/Disability/Veteran. If you require accessibility assistance applying for open positions in the US, please send an email with your request to CareersNA2@cognizant.com</p>]
## 418 [<ul><li>Collaborates with business partners to provide advice on metrics, statistical methods and research design for development and evaluation of projects and programs.</li><li>\r\r\nNegotiates and influences sound business decisions by applying knowledge of research methods and principles, industry standards and trends and business perspective.</li><li>\r\r\nDevelops and participates in presentations and consultations to existing and prospective constituents on information services, capabilities and performance results.</li><li>\r\r\nDirects the development of statistical/analytical procedures, processes, policies, data reports and/or products and quality metrics that support internal and external constituents.</li><li>\r\r\nProvides thought leadership and direction for analytic solutions, tools and studies.</li><li>\r\r\nPerform tests on the accuracy and interpretability of the models</li><li>\r\r\nDevelop result reports to be used for improvements in business performance</li><li>\r\r\nOther duties as assigned</li></ul>, <ul><li>\r\r\nBachelor’s Degree in Statistics or similar field of study</li></ul>, <ul><li>\r\r\n3+ years of Statistical modeling, required</li><li>\r\r\nExperience presenting complex statistical information to non-statisticians, required</li><li>\r\r\nExpert with SQL or other relational databases, required</li><li>\r\r\nProven ability to proficiently data mine, required</li><li>\r\r\nExperience with linear regression and predictive modeling, required</li><li>\r\r\nExperience with qualitative and quantitative data analysis and reporting, required</li><li>\r\r\nExperience with statistical modeling in R, required</li><li>\r\r\nExperience with clinical trials or clinical outcomes analysis, a plus</li><li>\r\r\nHealthcare industry experience, preferably with a health plan, a plus</li><li>\r\r\nExcellent written and verbal communications skills</li><li>\r\r\nExpert level attention to detail and organizational skills</li><li>\r\r\nExcellent collaboration skills across departments and roles</li><li>\r\r\nProven ability to proactively manage multiple priorities</li><li>\r\r\nKnowledge of health care industry, policy, research design, univariate and multivariate statistical analyses, predictive modeling, case-mix</li><li>\r\r\nKnowledge of clinical risk adjustment, multivariate analyses, epidemiology or health economics research methods</li></ul>]
## 419 [<p>Do you want to help connect people all over the world, and work on a team building the next generation of planet scale AR games? We’re looking for enthusiastic people to help our company become more data focused. Folks with the ability to be proactive, thorough, and independent but also to work effectively in a dynamic, fast-paced environment.\r\r\n</p>, <p>Responsibilities</p>, <ul><li>Translate quantitative findings in concise and clear messages to leadership and external partners.\r\r\n</li><li>Embedded within a product - you are the data guru responsible for setting and monitoring the targets, diagnosing problems, quantifying the impact, and coming up with solutions.\r\r\n</li><li>Have a product first mindset that aligns with our mission, values and strategy.</li>\r\r\n<li>Drive consensus; independently deliver data insights to drive decisions to cross functional teams.\r\r\n</li><li>Be a hands-on, self-starter and help the company make evidence based decisions.\r\r\n</li></ul>, <p>Qualifications</p>, <ul><li>Expert level SQL experience; deep experience with statistical packages such as R, Stata and Matlab.</li>\r\r\n<li>Clear understanding of statistics, econometrics concepts, especially with regression and time series data.</li>\r\r\n<li>Knowledge and experience with A/B testing or randomized control trials.</li>\r\r\n<li>BA/BS in statistics, applied mathematics , economics, computer science, machine learning or related field.</li>\r\r\n<li>Graduate degree in relevant fields preferred but not required.</li>\r\r\n<li>1+ years work experience in data science or analytics role.</li>\r\r\n</ul>, <p><b>Join the Niantic team!</b></p>, <p>Niantic is the world’s leading AR technology company, sparking creative and engaging journeys in the real world. Our products inspire outdoor exploration, exercise, and meaningful social interaction.<br/>\r\r\n<br/>\r\r\nOriginally formed at Google in 2011, we became an independent company in 2015 with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners. Our current titles include pioneering global-control game Ingress, and record-breaking AR game Pokémon GO. Our third title, Harry Potter: Wizards Unite, is currently in development.<br/>\r\r\n</p>, <p>Niantic is the world’s leading AR technology company, sparking creative and engaging journeys in the real world. Our products inspire outdoor exploration, exercise, and meaningful social interaction.</p>, <p>\r\r\nOriginally formed at Google in 2011, we became an independent company in 2015 with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners. Our current titles include pioneering global-control game Ingress, and record-breaking AR game Pokémon GO. Our third title, Harry Potter: Wizards Unite, is currently in development.</p>, <p>\r\r\nNiantic is an Equal Opportunity and Affirmative Action employer. We believe that cultivating a workplace where our people are supported and included is essential to creating great products our community will love. Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close.</p>, <p>\r\r\nWe’re a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Bellevue, Los Angeles, Tokyo, and Hamburg.</p>, <p>\r\r\nWe're a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Bellevue, Los Angeles, Tokyo, and Hamburg.</p>]
## 420 [<p>Do you want to help connect people all over the world, and work on a team building the next generation of planet scale AR games? We’re looking for enthusiastic people to help our company become more data focused. Folks with the ability to be proactive, thorough, and independent but also to work effectively in a dynamic, fast-paced environment.\r\r\n</p>, <p>Responsibilities</p>, <ul><li>Translate quantitative findings in concise and clear messages to leadership and external partners.\r\r\n</li><li>Embedded within a product - you are the data guru responsible for setting and monitoring the targets, diagnosing problems, quantifying the impact, and coming up with solutions.\r\r\n</li><li>Have a product first mindset that aligns with our mission, values and strategy.</li>\r\r\n<li>Drive consensus; independently deliver data insights to drive decisions to cross functional teams.\r\r\n</li><li>Be a hands-on, self-starter and help the company make evidence based decisions.\r\r\n</li></ul>, <p>Qualifications</p>, <ul><li>Expert level SQL experience; deep experience with statistical packages such as R, Stata and Matlab.</li>\r\r\n<li>Clear understanding of statistics, econometrics concepts, especially with regression and time series data.</li>\r\r\n<li>Knowledge and experience with A/B testing or randomized control trials.</li>\r\r\n<li>BA/BS in statistics, applied mathematics , economics, computer science, machine learning or related field.</li>\r\r\n<li>Graduate degree in relevant fields preferred but not required.</li>\r\r\n<li>1+ years work experience in data science or analytics role.</li>\r\r\n</ul>, <p><b>Join the Niantic team!</b></p>, <p>Niantic is the world’s leading AR technology company, sparking creative and engaging journeys in the real world. Our products inspire outdoor exploration, exercise, and meaningful social interaction.<br/>\r\r\n<br/>\r\r\nOriginally formed at Google in 2011, we became an independent company in 2015 with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners. Our current titles include pioneering global-control game Ingress, and record-breaking AR game Pokémon GO. Our third title, Harry Potter: Wizards Unite, is currently in development.<br/>\r\r\n</p>, <p>Niantic is the world’s leading AR technology company, sparking creative and engaging journeys in the real world. Our products inspire outdoor exploration, exercise, and meaningful social interaction.</p>, <p>\r\r\nOriginally formed at Google in 2011, we became an independent company in 2015 with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners. Our current titles include pioneering global-control game Ingress, and record-breaking AR game Pokémon GO. Our third title, Harry Potter: Wizards Unite, is currently in development.</p>, <p>\r\r\nNiantic is an Equal Opportunity and Affirmative Action employer. We believe that cultivating a workplace where our people are supported and included is essential to creating great products our community will love. Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close.</p>, <p>\r\r\nWe’re a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Bellevue, Los Angeles, Tokyo, and Hamburg.</p>, <p>\r\r\nWe're a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Bellevue, Los Angeles, Tokyo, and Hamburg.</p>]
## 421 [<ul><li>Clearly communicate methods and conclusions with simple language and innovative visualizations to management and executives.</li>\r\r\n<li>Work effectively on a team as well as a self-driven individual to do research and develop cutting edge and effective solutions for the business.</li>\r\r\n<li>Provide expertise in analyzing and visualizing large, complex, and unique data sets.</li>\r\r\n<li>Create new insights that will drive business growth and profitability in the short and long term.</li>\r\r\n<li>Deploy analytics code with a continuous integration environment incorporating version control, build servers, and test servers.</li>\r\r\n<li>Design and implement programs and automation to collect, mash up, process and analyze distributed real-world data.</li>\r\r\n<li>Collaborate with cross-functional teams to understand complex business problems, build statistical models, and create predictive tools.</li><br/>\r\r\n</ul>, <ul><li>6 - 8 years related experience.</li>\r\r\n<li>Degree(s) in Computer Science, Math, Physics, Economics, Operations Research, Statistics or related discipline</li>\r\r\n<li>Experience with relational and non-relational databases.</li>\r\r\n<li>Strong experience with tools for managing, analyzing, and visualizing large datasets.</li>\r\r\n<li>Programming experience with two or more of R, Python, Lisp, Clojure, Scala, Java, Perl, Mathematica and C++.</li>\r\r\n<li>Past success in extracurricular math/science activities or competitions is highly regarded.</li>\r\r\n<li>Creativity and persistence in locating, extracting and analyzing any and all relevant data.</li>\r\r\n<li>Problem solving versatility: making the best decisions possible given the data quality and time available.</li>\r\r\n<li>Strong analytical thinking and ability to quickly pick up new methods, tools and programming languages.</li>\r\r\n</ul>, <ul><li>Expertise w/ GIT, agile project management tools (Trello, JIRA, Rally, etc), documentation/markup expertise (Markdown, etc)</li>\r\r\n<li>Strong verbal, written and visualization communication skills relaying data science findings, problems, etc to business users.</li>\r\r\n<li>Good working knowledge of PL/T-SQL</li>\r\r\n<li>Expertise w/ econometric and machine learning methods for predictive analytics</li>\r\r\n<li>Prior expertise w/ price elasticity of demand modeling</li>\r\r\n<li>Strong knowledge of optimization methods, feature engineering</li>\r\r\n<li>Culture of curiosity and perseverence in the face of messy data and complex business, information systems landscape</li><br/>\r\r\n</ul>]
## 422 [<p><b>Position Description</b></p>, <ul><li>\r\r\nA Staff Data Scientist is responsible for analyzing large data sets to develop multiple custom models and algorithms to drive innovative business solutions. Staff Data Scientists work on large project teams in order to provide analytical support and guidance to an assigned area on for large projects (for example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce. Staff Data Scientists are responsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Staff Data Scientists are responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results. Staff Data Scientists are responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned project. Staff Data Scientists are the subject matter experts for statistical analysis and modeling for their project team.</li><li>\r\r\nBuild complex data sets from multiple data sources, both internally and externally.</li><li>\r\r\nBuild learning systems to analyze and filter continuous data flows and offline data analysis.</li><li>\r\r\nCollaborate with cross-functional partners across the business.</li><li>\r\r\nCollaborate with project teams to implement data modeling solutions.</li><li>\r\r\nCombine data features to determine search models.</li><li>\r\r\nConduct advanced statistical analysis to determine trends and significant data relationships.</li><li>\r\r\nDevelop models of current state in order to determine improvements needed.</li><li>\r\r\nDevelop multiple custom data models to drive innovative business solutions.</li><li>\r\r\nDrives the execution of multiple business plans and projects</li><li>\r\r\nEnsures business needs are being met</li><li>\r\r\nInterpret data to identify trends to go across future data sets.</li><li>\r\r\nPromotes and supports company policies, procedures, mission, values, and standards of ethics and integrity</li><li>\r\r\nProvides supervision and development opportunities for associates</li><li>\r\r\nResearch new techniques and best practices within the industry.</li><li>\r\r\nScale new algorithms to large data sets.</li><li>\r\r\nTrain algorithms to apply models to new data sets.</li><li>\r\r\nTranslate business needs into data requirements.</li><li>\r\r\nUtilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog).</li><li>\r\r\nValidate models and algorithmic techniques.</li></ul>, <p><b>\r\r\nMinimum Qualifications</b></p>, <ul><li>\r\r\nBachelor of Science and 5 years' data science experience OR Master of Science and 3 years' data science experience.</li></ul>, <p><b>\r\r\nAdditional Preferred Qualifications</b></p>, <ul><li>Proficiency in programming (Python, C/C++, Java)</li><li>Comprehension of Data Structures & Algorithms</li><li>College Degree in quantitative discipline (Mathematics, Computer Science, Physics, Electrical Engineering, Statistics, Operations Research, Computational Biology/Bioinformatics, Computational Mathematics, etc..)</li><li>Proficiency and understanding of Machine Learning algorithms in both Supervised (Regression/LASSO, SVM, Neural Networks, etc..) and Unsupervised (Association, Clustering, etc.)</li></ul>, <ul><li>Subject matter expertise in at least one of the following: Bayesian Statistics, Statistical Modeling (e.g. Survival Analysis, Generalized Linear models), Stochastic Calculus, Agent Based Models, Advanced Machine Learning (e.g. Reinforcement Learning, Deep Learning) , Numerical Techniques, Computation Biology, Bayesian Networks/DAGS, Monte Carlo Methods, NLP, Artificial Intelligence, Dynamic Programming & Optimal Control Theory</li><li>Retail or consumer facing industry experience a plus</li></ul>, <p><b>\r\r\nCompany Summary</b></p>]
## 423 [<ul>\r\r\n<li>Develop statistical models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques that address business challenges.</li>\r\r\n<li>Manipulate complex, high-volume, high-dimensionality data from varying sources to provide insights into enhancing Optoro's SmartDisposition\231 algorithm and pricing algorithms.</li>\r\r\n<li>Identify trends and systematic patterns within datasets that illuminate strategic enhancements to business processes.</li>\r\r\n<li>Monitor results of deployed algorithms for accuracy, drift over time, and robustness to new data.</li>\r\r\n<li>Design and execute A/B and multi-armed bandit tests of business logic.</li>\r\r\n<li>Produce reports and data visualizations using Tableau and other tools.</li>\r\r\n</ul>, <ul>\r\r\n<li>Strong mathematical and statistical background; B.A. (graduate degree preferred) in a relevant quantitative field (e.g. applied mathematics, statistics, physics, computer science, operations research); or 3+ years experience in a relevant role.</li>\r\r\n<li>Deep understanding of data analysis, machine learning, and data communication across multiple domain areas.</li>\r\r\n<li>Experience with the Python statistical programming stack (NumPy, pandas scikit-learn, etc…). We also welcome candidates who come primarily from an R background but want to learn Python.</li>\r\r\n<li>Ability to deal with ambiguity in a fast-paced, dynamic environment.</li>\r\r\n<li>Proven experience thinking creatively about challenging, analytical problems.</li>\r\r\n<li>Experience with eCommerce, economic theory, Ruby on Rails, Airflow, Kafka, and PostgreSQL are all a plus!</li>\r\r\n</ul>]
## 424 [<ul>\r\r\n<li>Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams</li>\r\r\n<li>Develop novel and scalable data systems that leverage Big Data sets and machine learning techniques to enhance user experience and engagement</li>\r\r\n<li>Build a better understanding of our user base through exploratory and confirmatory analysis to increase user retention and B2C opportunities</li>\r\r\n<li>Develop entity taxonomies, knowledge bases and graphing techniques to find deep insights and recommendations for users in career space</li>\r\r\n<li>Develop deep learning techniques to do user segmentation and cohort analysis</li>\r\r\n<li>Mentor and coach related team members</li>\r\r\n</ul>, <ul>\r\r\n<li>Bachelors degree in a relevant technical field, such as Computer Science, Statistics, Data Science, Data Engineering, Machine Learning</li>\r\r\n<li>3-4 years of relevant experience in Data Science and Machine Learning</li>\r\r\n<li>Deep understanding of data analysis, statistical techniques, natural language processing and knowledge base, graph systems</li>\r\r\n<li>Expertise in database querying (SQL, noSQL), search techniques, web services etc.</li>\r\r\n<li>Excellent problem-solving skills</li>\r\r\n<li>Domain expertise of data analysis tools (Python, R, Octave/MATLAB, or similar)</li>\r\r\n<li>Fluent in a programming language (Python, Ruby, PHP, Java or similar)</li>\r\r\n<li>Understanding of cloud computing (Amazon Web Services or Microsoft Azure)</li>\r\r\n<li>Familiarity with the Hadoop ecosystem, including HDFS, MapReduce, Hive, and Spark</li>\r\r\n<li>Write reusable, efficient code to automate analysis and data processes</li>\r\r\n<li>Ability to clearly communicate complex analytical methods and results to a non-technical audience</li>\r\r\n<li>Ability to map Data Science techniques to solve product and business problems to increase consumer and retention</li>\r\r\n</ul>, <ul>\r\r\n<li>Masters degree in a relevant technical field, such as Computer Science, Statistics, Data Science, Data Engineering, Machine Learning</li>\r\r\n</ul>]
## 425 [<ul><li>Develop and scale algorithms and mathematical models that significantly improve our current ability to make decisions based on qualitative and quantitative data</li><li>Identify and articulate the value that can be derived from analytical models</li><li>Work as a team player to improve data science methods and be a positive influence on team advancement</li><li>Measure and continue to improve the predictive accuracy of models</li><li>Continuously improve departmental operations and add new analytical methodologies and techniques</li><li>Educate the organization on new analytical techniques and their applicability within Nike</li><li>Accessing and extracting data from Nike systems and support continued evolution of the Nike data capabilities</li><li>Develop the strategy to develop a wide variety of services, tooling, & infrastructure that aims to support any algorithm development here at GPMA: e.g. A/B Testing, ML workflows, and ML applications</li><li>Partner with data science to understand the workflows and identify the opportunities for the needed services, tools and infrastructure</li><li>Partner with our technology teams to ensure that we are developing the right services, tools and infrastructure</li></ul>, <ul><li>Degree in a quantitative field - Statistics, Economics, Advanced Analytics, Operations Research, Applied Mathematics, Decision Sciences, Computer Science, Engineering, Science, or other relevant quantitative fields</li><li>Strong coding skills including developing production quality code for analytic capabilities</li><li>Knowledge of tools and services used to scale data science models</li><li>Proven capability in deployment of solutions leveraging methodologies like time series methods, econometric methods, machine learning algorithms, etc.</li><li>Very strong technical and analytical skillset in one or more data science languages like -\r\r\n</li><li>Proven track record of working cross functionally to develop innovative advanced solutions using agile methodologies</li><li>Ability to communicate in simple terms algorithms that are being developed</li><li>Experience working with large and complex data sets that are sometimes incomplete or inconsistent</li><li>Demonstrated ability to work with AWS big data platform leveraging Databricks, Qubole, EMR, Snowflake, etc.</li><li>Demonstrated ability to distribute and parallelize algorithms</li></ul>]
## 426 [<ul><li>Must have an active TS/SCI clearance</li>\r\r\n<li>Due to the nature of the government contract requirements and/or clearance requirements, US citizenship is required</li>\r\r\n<li>Bachelor's Degree in Economics, Statistics, Operations Research, Computer Science, Information Systems, Engineering or similar quantitative discipline</li>\r\r\n<li>Demonstrated extensive knowledge of, and proven success with a role, executing various aspects of the business or information technology-related client engagements and/or projects within a professional services environment, including knowledge of an industry or functional domain and expertise in at least two of the following areas:\r\r\n<ul><li>Statistical Analysis and Techniques</li>\r\r\n<li>Machine Learning model and algorithm design and development</li>\r\r\n<li>Business, Federal, Human Capital or Operations Analysis within mission, marketing, operations or workforce planning</li>\r\r\n</ul></li><li>Demonstrated significant experience working with analytical models or techniques and the ability to apply such methods to an applicable challenge within the larger field of expertise. This background should include:\r\r\n<ul><li>Advanced analytics techniques (regression, simulation, etc.)</li>\r\r\n<li>Visualization techniques and tools</li>\r\r\n<li>Applicable sources of external, internal or new data sources to support analytic methods and visualization techniques</li>\r\r\n</ul></li><li>Experience with the Agile development approach</li>\r\r\n<li>Proficiency in at least one of the following languages for use in data manipulation, extraction or programming: Python, R, Java, SQL, or similar</li>\r\r\n<li>Minimum Years of Experience: 1-3</li>\r\r\n</ul>, <ul><li>Statistical Analysis and Techniques</li>\r\r\n<li>Machine Learning model and algorithm design and development</li>\r\r\n<li>Business, Federal, Human Capital or Operations Analysis within mission, marketing, operations or workforce planning</li>\r\r\n</ul>, <ul><li>Advanced analytics techniques (regression, simulation, etc.)</li>\r\r\n<li>Visualization techniques and tools</li>\r\r\n<li>Applicable sources of external, internal or new data sources to support analytic methods and visualization techniques</li>\r\r\n</ul>, <ul><li>Experience working within the Intelligence Community (IC) or military organizations</li>\r\r\n<li>Analyzing large and complex data sets to solve business challenges and present insights to non-analytics minded individuals</li>\r\r\n<li>Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building solid relationships with team members, proactively seeking guidance, clarification and feedback</li>\r\r\n<li>Identifying and addressing client needs, building relationships with clients, developing requests for information, demonstrating flexibility in prioritizing and completing tasks, communicating potential conflicts to a supervisor</li><br/>\r\r\n</ul>]
## 427 [<p>Ke`aki Technologies is looking for qualified <b>Data Scientist </b>to support an Air Force Medical Services (AFMS) contract by providing expertise in the areas of Data Science and Decision Support Analysis.</p>, <p><b>\r\r\nDUTIES INCLUDE:</b></p>, <ul>\r\r\n<li>Provide analytical tools and resources to assess the health of the AF beneficiary population.</li>\r\r\n<li>Provide technical expertise in the areas of prevention, managed care, medical readiness issues, health promotion, clinical safety and quality, and other health Service-related issues in order to support the AFMS’s vision of becoming the healthiest and highest performing segment of the US by 2025.</li>\r\r\n<li>Perform clinical and business analytical studies using accepted data science techniques to provide insight into areas of trending/improvement for prevention, managed care, medical readiness issues, health promotion, clinical safety and quality, and other health Service-related issues.</li>\r\r\n<li>Aggregate and analyze population health data to respond to questions from the various Congressional inquiries, DoD senior leaders, AFMOA, AF Surgeon General, Service-specific Headquarters agencies, and the MTFs.</li>\r\r\n<li>Access, validate and analyze information about the AF population by developing, validating and linking various medical, safety, environmental, occupational and personnel databases.</li>\r\r\n<li>Identify and troubleshoot data import, analysis, and display errors from multiple data sources.</li>\r\r\n<li>Provide data analysis and decision support using research expertise as well as literature review/evidence-base to develop clinical and business measures and prototypes of health information technology (IT) tools, programs, procedures, services or databases to support AFMOA’s goal of building a managed healthcare system that considers and optimizes safety, quality, cost and access.</li>\r\r\n<li>Research, identify and apply, when available, national/standardized benchmarks and thresholds to AFMS/MHS metrics as appropriate or the contractor shall identify reasons established benchmarks/thresholds/methods are not appropriate/relevant.</li>\r\r\n<li>Provide technical knowledge to customers, internal and external to AFMS/AF, regarding study design and methodologies.Provide program management to refine the business and clinical measures and prototypes for optimal implementation by AFMS and other agencies/MHS as appropriate.</li>\r\r\n</ul>, <p><b>REQUIRED SKILLS AND EXPERIENCE:</b></p>, <ul>\r\r\n<li>Able to read, write, speak and understand English.</li>\r\r\n<li>Proven ability to synthesize disparate facts from multiple sources and coalesce into an accurate and useful analytic product, incorporating Service and MHS strategic goals for use by leadership in both tactical and strategic decision making.</li>\r\r\n<li>Demonstrated ability to provide accurate and timely analytical products containing well?reasoned and cogent discussion points providing leadership with substantiated options or courses of action.</li>\r\r\n<li>Demonstrated ability to organize/participate/lead working groups to develop analytic products and byproducts or to develop/understand processes leading to effective optimization of analytic efforts.</li>\r\r\n<li>Demonstrated ability to effectively and clearly communicate analytical discoveries and appropriate recommendations/mitigation strategies to all levels of customers including Senior AFMS leadership.</li>\r\r\n<li>Demonstrated advanced proficiency in Microsoft Office products PLUS additional software/hardware skills and capabilities.</li>\r\r\n<li>Ability to critically examine and evaluate, problem-solve.</li>\r\r\n<li>Demonstrated ability to undertake and complete multiple tasks with multiple deadlines simultaneously.</li>\r\r\n<li>Ability to deliver products on time, on schedule, within budget.</li>\r\r\n<li>Flexibility and ability to adapt to rapidly changing and often time-constrained environment.</li>\r\r\n<li>Ability to acquire skills/capabilities necessary to meet growing needs/demands of systems/software/hardware.</li>\r\r\n</ul>, <p><b>DEGREE/EDUCATION/CERTIFICATION REQUIREMENTS:</b></p>, <ul>\r\r\n<li><b>Master’s degree in Public Health, Health Services Research, Epidemiology, Mathematics, Biostatistics, Statistics, Informatics or related areas, or previous participation in advanced training/program with one of those related areas, and identified as a Fellow in their area of expertise is required.</b></li>\r\r\n<li>Other significant related clinical/medical/health data experience such as previous participation in an analytics/quantitative field fellowship/training may be considered as an appropriate substitute for education, but minimum of Bachelor’s degree in above areas required unless otherwise specified and with few exceptions.</li>\r\r\n</ul>, <p><b>CITIZENSHIP/SECURITY CLEARANCE REQUIREMENTS:</b></p>, <ul>\r\r\n<li><b>Must have an active Tier 3 background check to obtain a common access card (CAC)</b></li>\r\r\n<li><b>Must be a U.S. Citizen</b></li>\r\r\n</ul>, <p>The Alaka`ina Foundation Family of Companies (FOCs) is comprised of industry-recognized government service firms who are designated as Native Hawaiian Organization (NHO)-Owned and fall into the respective categories of standard Small Business, 8(a) certified Small Disadvantaged Business (SDB), and HUBZone. The FOCs includes Ke`aki Technologies, Laulima Government Solutions, K?pono Government Services, K?pili Services, and Po`okela Solutions. Alaka`ina Foundation activities under the 501(c)3 principally benefit the youth of Hawaii through charitable efforts which includes providing innovative educational programs that combine leadership, science & technology, and environmental stewardship.</p>, <p>\r\r\nFor additional information on Ke`aki Technologies, LLC, please visit www.alakainafoundation.com.</p>, <p><b><i>\r\r\nWe are an Equal Opportunity/Affirmative Action Employer of individuals with disabilities and veterans. We are proud to state that we do not discriminate in employment decisions on the basis of race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. If you are a person with a disability and you need an accommodation during the application process, please click</i></b><b> </b><b><i>here</i></b><b><i> to request accommodation. We E-Verify all employees.</i></b></p>]
## 428 [<ul>\r\r\n<li>Experience with R, R-Studio, Python, or SAS applications and Microsoft programs, including Excel and PowerPoint</li>\r\r\n<li>Knowledge of advanced analytics, including unsupervised and supervised learning techniques, such as regression analyses, optimization, trending or forecasting, statistics, and simulations and statistics, such as cluster analysis or classification</li>\r\r\n<li>Ability to work within a fast-paced environment</li>\r\r\n<li>BS degree in Engineering, Physical Sciences, or Mathematics</li>\r\r\n</ul>, <ul>\r\r\n<li>Experience with SAP Business Objects, Microsoft Access, and databases</li>\r\r\n<li>Experience with the Department of the Navy and defense contracting</li>\r\r\n<li>Knowledge of business intelligence and Agile development</li>\r\r\n<li>Ability to work well within a large, complex business intelligence team</li>\r\r\n<li>Possession of excellent oral and written communication skills, including writing whitepapers, completing PowerPoints and presentations, and explaining advanced mathematical techniques to lay persons</li>\r\r\n<li>Public Trust Clearance</li>\r\r\n<li>MA or MS degree in Data Science, Statistics, or CS</li>\r\r\n</ul>]
## 429 [<p>Yamaha Motor Finance Corporation, U.S.A. is a growing and dynamic organization with superb financial products that supports our customers and dealers in the purchase of motorsports products that Rev your Heart.</p>, <p>Yamaha has an excellent opportunity for a <b>Data Scientist </b>to join <b>Yamaha Motor Finance Corporation, U.S.A.</b>, in <b>Cypress, CA</b>. This is a highly visible role that will primarily be responsible for analyzing and evaluating the risk in portfolio decisions, forecasting potential losses, and deciding how to curb potential losses and volatility. He/she will be instrumental in helping YMFUS minimize credit and financial risk exposure to improve business results. In addition, they will lead the analytical initiatives to formulate YMFUS’ Credit Risk Strategies and other business initiatives. The areas of focus include database design, credit scoring systems, acquisitions and portfolio management strategy/criteria design, vintage analysis and portfolio segmentation, demographic analysis, portfolio loss forecasting and modeling to maximize risk/reward trade-off.<br/>\r\r\n</p>, <p><b>Specific duties include, but are not limited to:</b><br/>\r\r\n</p>, <ul><li>Develop statistical models, machine learning-based tools or processes to measure and manage business performance.\r\r\n</li><li>Develop recommendation engines or automated scoring and decisioning systems to improve business efficiency</li>\r\r\n<li>Assist in evaluating the adequacy of internal processes and reduce all forms of exposure ranging from credit risk, efficiency/cost and regulatory impact.</li>\r\r\n<li>Lead monitoring and assessment of the post-implementation impact of risk management strategies.</li>\r\r\n<li>Perform research, quantitative analysis, modeling, and monitoring of the company's credit, collateral, and customer performance, such as scorecard development; strategy design or adjustments.</li>\r\r\n<li>Assist in developing, implementing and monitoring YMFUS’s credit and servicing policies and procedures</li>\r\r\n<li>Conduct comprehensive analyses to assess levels of credit risk- including summarizing results with opinions and recommendations for actions.</li>\r\r\n<li>Develop, produce, monitor, examine and interpret advanced MIS/statistical reports</li>\r\r\n<li>Apply SAS, database and computer science knowledge to evaluate risk management strategies.</li>\r\r\n<li>Provide analytical and strategic support in a fast-paced start-up environment.</li>\r\r\n<li>Develop, recommend, and assist with the implementation of business strategies to manage credit risk, increase revenues, and reduce risk exposure.</li>\r\r\n<li>Predict the future trends from the current developments in the economy and recommend the management accordingly to plan the strategies.</li>\r\r\n<li>Liaison with and maintain relationship with Scorecard and Decision Engine service provider.</li>\r\r\n<li>Ad hoc reporting. If necessary meet with internal and external customers to establish requirements.</li>\r\r\n<li>Performs other duties as assigned.</li><br/>\r\r\n</ul>, <p><b>Requirements:</b></p>, <ul><li>Bachelor’s degree in Statistics, Computer Science, Economics, Business Administration or related field</li>\r\r\n<li>Master’s degree in Computer Science or Statistics preferred</li>\r\r\n<li>7+ years’ relevant work experience</li>\r\r\n<li>Hands-on experience in using advanced statistical techniques like Machine Learning, Artificial Intelligence, Deep Learning is required.\r\r\n</li><li>Thorough understanding of Multivariable Calculus and Linear Algebra\r\r\n</li><li>Extensive knowledge with SQL / Oracle, SAS, KnowledgeStudeo, R, Python\r\r\n</li><li>Experience in a financial and/or technical analysis business related environment</li>\r\r\n<li>Experience in Auto / Motorcycle lending a plus</li>\r\r\n<li>Ability to manage multiple projects with competing deadlines a must</li>\r\r\n<li>Must possess strong analytical thinking and problem-solving skills</li>\r\r\n<li>Good presentation skills and ability to present data to Senior Management\r\r\n</li><li>Strong interpersonal skills and ability to interact seamlessly with all levels of management</li>\r\r\n<li>Successful experience working in a fast-paced start-up work environment a plus\r\r\n</li><li>Travel required (approx. 10%)</li><br/>\r\r\n</ul>, <p>#LI-MO1</p>, <p><b>Yamaha Motor Finance Corporation, U.S.A. is proud to be an equal opportunity employer.</b></p>]
## 430 [<ul><li><div>Independently design and develop business technology solutions to answer scientific or business questions by applying modern machine intelligence and data analysis technologies on complex data sets.</div></li>\r\r\n<li><div>Think creatively to solve specific business problems and champion new technologies in achieving project goals.</div></li>\r\r\n<li><div>Act as an internal resource in AI/ML. Explore future directions of machine intelligence and keep abreast of the latest developments. Produce high-quality analyses and codebases that extend the capabilities and impact of the team as a whole.</div></li>\r\r\n<li><div>Work collaboratively alongside other technical experts to rapidly advance agile, impactful, and cost-effective solutions.</div></li>\r\r\n<li><div>Effectively organize and present project objectives and progress. Contribute to technical publications and presentations.</div></li>\r\r\n<li><div>Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security.</div></li></ul>, <ul>\r\r\n<li><div>Degree in a quantitative discipline applying mathematical and computational approaches. BS in Computer Science or related field and 5+ years of experience in pharmaceutical or life science preferred. Experience with image classification or natural language processing a plus.</div></li>\r\r\n<li><div>Aptitude and proficiency in using AI platforms, technologies, and techniques (e.g. TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, etc).</div></li>\r\r\n<li><div>Understanding of technical architectures and current state of the market in several technology areas. Comfortable in both Windows and Unix environments.</div></li>\r\r\n<li><div>Experience developing, testing and deploying APIs.</div></li>\r\r\n<li><div>Passionate about the application of artificial intelligence techniques to tackle difficult technical problems in an agile manner.</div></li>\r\r\n<li><div>Demonstrated ability in one or more programming languages like Python, Java, or R.</div></li>\r\r\n<li><div>Exceptional ability to clearly communicate ideas and findings to both technical and non-technical audiences.</div></li>\r\r\n<li><div>Excellent interpersonal skills - enthusiastic about sharing knowledge and collaborating with other teams</div></li></ul>]
## 431 [<ul>\r\r\n<li>You will help to architect, build and maintain databases to support research and development.</li>\r\r\n<li>Work with individual scientists to understand their needs and prioritize software development.</li>\r\r\n<li>Interface with an existing IT team of two people to define systems</li>\r\r\n<li>As the team grows, their is the potential for this role to grow into a technical leadership and/or data science work.</li>\r\r\n</ul>, <ul>\r\r\n<li>5+ years experience as a multi-faceted software engineer</li>\r\r\n<li>Strong back-end orientation and experience architecting schemas and building databases</li>\r\r\n<li>Experience with scripting languages and building and maintaining data pipelines</li>\r\r\n<li>Possess good organizational, communication, analytical and technical writing skills</li>\r\r\n<li>Experience working with scientists on R&D systems would be beneficial</li>\r\r\n<li>Background in machine learning / data science / statistics</li>\r\r\n<li>Exceptional multitasking skills, attention to detail and ability to work independently Excellent communication and presentation skills. ? Self-motivated, passionate and comfortable working in a fast-paced environment. ?</li>\r\r\n</ul>]
## 432 [<p>A talented data scientist with strong background in realtime big data solutions and contextual relevance frameworks.\r\r\n</p>, <p>You will work as part of the core team and help us discover the information hidden in vast amounts of data, making smarter decisions and contextual relevance in order to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.\r\r\n</p>, <ul><li><p>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.\r\r\n</p></li><li><p>Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable\r\r\n</p></li><li><p>Great communication skills\r\r\n</p></li><li><p>Experience with data visualisation tools, such as D3.js, GGplot, etc.\r\r\n</p></li><li><p>Proficiency in using lnaguages and query languages such as SQL, Python, C#, C++, R, Hive, Pig\r\r\n</p></li><li><p>Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Realm\r\r\n</p></li><li><p>Good applied statistics skills, such as distributions, statistical testing, regression, etc.\r\r\n</p></li><li><p>Good scripting and programming skills C#, Python, Java, Android Studio\r\r\n</p></li><li><p>Data-oriented personality\r\r\n</p></li></ul>, <p>Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.\r\r\n</p>, <p>Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable\r\r\n</p>, <p>Great communication skills\r\r\n</p>, <p>Experience with data visualisation tools, such as D3.js, GGplot, etc.\r\r\n</p>, <p>Proficiency in using lnaguages and query languages such as SQL, Python, C#, C++, R, Hive, Pig\r\r\n</p>, <p>Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Realm\r\r\n</p>, <p>Good applied statistics skills, such as distributions, statistical testing, regression, etc.\r\r\n</p>, <p>Good scripting and programming skills C#, Python, Java, Android Studio\r\r\n</p>, <p>Data-oriented personality\r\r\n</p>, <p>MS or PhD in Data Science or comparable field strongly preferred. However, overwhelming weight will be given to experience and prior accomplishments.</p>]
## 433 [<p><b>Job Description</b></p>, <p>\r\r\nCACI is seeking a Data Insight Enabler (Data Scientist ) to support our program in Portsmouth, VA.</p>, <p>\r\r\nWhat You'll Get to Do:</p>, <ul><li><p>\r\r\nAssess potential data sources (internal and external), design a plan to integrate, centralize, and maintain them to ensure users have access to critical information in the right place, at the right time</p></li><li><p>\r\r\nProvide business analytics services such as business intelligence consulting, development of enterprise analytics architecture, market research and analysis, dashboards and scorecards creation, provisioning of structured and disparate data, to our client</p></li><li><p>\r\r\nSupport senior leadership with insights, management reports, and analysis for decision-making</p></li><li><p>\r\r\nCreate a fluid, end-to-end vision for how data will flow through our customer's organization</p></li><li>\r\r\nDevelop data models for database structures</li><li>\r\r\nDesign, document, construct and deploy database architectures and applications (e.g. large relational databases)</li><li>\r\r\nIntegrate technical functionality (e.g. scalability, security, performance, data recovery, reliability, etc.)</li><li>\r\r\nTranslate business needs into analytics/reporting requirements to support executive decisions and workflows with required information.</li><li>\r\r\nCoordinate with process owners and decision makers to understand their information needs and identify ways to visualize and present information in a user-friendly manner.</li><li>\r\r\nExtract huge volumes of data from multiple internal and external sources.</li><li>\r\r\nDesign Analyses that translate business requirements into a technical analytic plan.<ul><li>\r\r\nExplicitly plan the analyses including scoping, checkpoints and milestones</li><li>\r\r\nAnticipate and address competing explanations by incorporating assumptions and checks that anticipate vulnerabilities.</li><li>\r\r\nExplore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities</li><li>\r\r\nDetermine best way to evaluate results and use them to optimize processes and business value.</li></ul></li><li>\r\r\nExplore data appropriately to identify and mitigate idiosyncrasies. Build and apply algorithms to ensure the technical solution is appropriate for the problem. Clearly document findings with visualization and technical communication</li><li>\r\r\nEmploy sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling</li><li>\r\r\nThoroughly clean and provision data to discard irrelevant information for use in Online Analytical Processing (OLAP) tools</li><li>\r\r\nCommunicate conclusions and findings to management through effective data visualizations and reports</li><li>\r\r\nRecommend cost-effective changes to existing procedures and strategies</li><li>\r\r\nProactively mine large amounts of data to identify trends and patterns and generates insights for business units and senior leadership</li><li>\r\r\nInteract with Information Architects to develop strategy for information storage, modeling, and tagging</li><li>\r\r\nSupport end-users and information architects to enhance information visualization through development of dashboards and user interfaces</li><li>\r\r\nWork closely with information managers, architects, source system specialists, business process owners and data analysts for knowledge sharing, mentoring, and training</li></ul>, <p>\r\r\nAssess potential data sources (internal and external), design a plan to integrate, centralize, and maintain them to ensure users have access to critical information in the right place, at the right time</p>, <p>\r\r\nProvide business analytics services such as business intelligence consulting, development of enterprise analytics architecture, market research and analysis, dashboards and scorecards creation, provisioning of structured and disparate data, to our client</p>, <p>\r\r\nSupport senior leadership with insights, management reports, and analysis for decision-making</p>, <p>\r\r\nCreate a fluid, end-to-end vision for how data will flow through our customer's organization</p>, <ul><li>\r\r\nExplicitly plan the analyses including scoping, checkpoints and milestones</li><li>\r\r\nAnticipate and address competing explanations by incorporating assumptions and checks that anticipate vulnerabilities.</li><li>\r\r\nExplore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities</li><li>\r\r\nDetermine best way to evaluate results and use them to optimize processes and business value.</li></ul>, <p><br/>\r\r\nQualifications You'll Bring:</p>, <ul><li>\r\r\nBachelor's degree in computer science, management information systems, finance, statistics, or related fields. Master's preferred</li><li>\r\r\nMin 10 years of experience as a data analyst, business intelligence analyst, market research analyst, financial analyst, statistician, or equivalent roles</li><li>\r\r\nExperience with consumer-level data for the purposes of analysis, reporting, and/or marketing</li><li>\r\r\nDemonstrated experience deploying database architectures and applications</li><li>\r\r\nExpert in data mining, aggregation and unstructured information analysis</li><li>\r\r\nAbility to generate insights from information</li><li>\r\r\nCompetent in information taxonomy creation, information visualization, information modeling, and data warehousing techniques</li><li>\r\r\nAbility to perform functional requirements analysis and business domain analysis</li><li>\r\r\nAbility to build new tools to automate work</li><li>\r\r\nFamiliarity with Project Management Methods desired</li></ul>, <p>What We Can Offer You:</p>, <ul><li>\r\r\nWe’ve been named a Best Place to Work by the Washington Post.</li><li>\r\r\nOur employees value the flexibility at CACI that allows them to balance quality work and their personal lives.</li><li>\r\r\nWe offer competitive benefits and learning and development opportunities.</li><li>\r\r\nWe are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.</li><li>\r\r\nFor over 55 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success.</li></ul>, <p><b>Job Location</b></p>, <p>\r\r\nUS-Portsmouth-VA-NORFOLK-VIRGINIA BCH</p>, <p>\r\r\nCACI employs a diverse range of talent to create an environment that fuels innovation and fosters continuous improvement and success. At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. CACI is proud to provide dynamic careers for employees worldwide. CACI is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities.</p>]
## 434 [<ul>\r\r\n<li>Partner with Product and Engineering and apply your expertise in quantitative analysis to create and scale insights</li>\r\r\n<li>Create and test hypotheses</li>\r\r\n<li>Create visuals and dashboards to effectively report your insights</li>\r\r\n<li>Help business and engineering partners make date-driven decisions</li>\r\r\n</ul>, <ul>\r\r\n<li>Bachelor's degree in math, statistics, computer science, or other quantitative field</li>\r\r\n<li>2+ years of experience in quantitative analysis & data science or a related field</li>\r\r\n<li>Fluency in SQL or other big data querying language</li>\r\r\n</ul>, <ul>\r\r\n<li>Master's degree in math, statistics, computer science, or other quantitative field</li>\r\r\n<li>Experience with causal inference techniques, experimental design and/or A/B testing</li>\r\r\n<li>Experience with analytical packages such as SciPy or R</li>\r\r\n<li>Experience with a programming language, such as Python</li>\r\r\n<li>Excellent verbal and written communication skills, with high attention to detail</li>\r\r\n<li>Experience in a product-focused role at a social media and/or mobile technology company</li>\r\r\n<li>A team player who can collaborate with engineers, product managers, and other cross-functional teams</li>\r\r\n<li>Ability to initiate and drive projects to completion with minimal guidance</li>\r\r\n<li>Ability to communicate the results of analyses in a clear and effective manner to a senior audience</li>\r\r\n<li>Passionate about Snapchat, Lens Studio, and immersive technology</li>\r\r\n</ul>]
## 435 [<ul>\r\r\n<li>Qualifications may warrant placement in a different job level.*</li>\r\r\n</ul>]
## 436
## 437 [<p><b>Position Description</b></p>, <ul><li>\r\r\nDemonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans</li><li>\r\r\nDevelops analytical models to drive analytics insights</li><li>\r\r\nLeads small and participates in large data analytics project teams</li><li>\r\r\nModels compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity</li><li>\r\r\nParticipates in the continuous improvement of data science and analytics</li><li>\r\r\nPresents data insights and recommendations to key stakeholders</li><li>\r\r\nProvides and supports the implementation of business solutions</li></ul>, <p><b>\r\r\nMinimum Qualifications</b></p>, <ul><li>\r\r\nBachelor of Science and 2 years' data science experience OR Master of Science and 1 years' data science experience.</li></ul>, <p><b>\r\r\nAdditional Preferred Qualifications</b></p>, <ul><li>\r\r\n4 years experience with SQL and relational databases (for example, DB2, Oracle, SQL Server).</li><li>\r\r\n4 years experience with statistical programming languages (for example, SAS, R).</li><li>\r\r\nBachelor's degree in Statistics, Economics, Analytics, Mathematics and 7 years experience in an analytics related field.</li><li>\r\r\nCertificate in business analytics, data mining, or statistical analysis.</li><li>\r\r\nDoctoral degree in Statistics, Economics, Analytics, or Mathematics and 1 year experience in an analytics related field.</li><li>\r\r\nMaster's degree in Statistics, Economics, Analytics, or Mathematics and 3 years experience in an analytics related field.</li></ul>, <p><b>\r\r\nCompany Summary</b></p>, <p><b>Position Summary</b></p>, <ul><li>\r\r\nDemonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans</li><li>\r\r\nDevelops analytical models to drive analytics insights</li><li>\r\r\nLeads small and participates in large data analytics project teams</li><li>\r\r\nModels compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity</li><li>\r\r\nParticipates in the continuous improvement of data science and analytics</li><li>\r\r\nPresents data insights and recommendations to key stakeholders</li><li>\r\r\nProvides and supports the implementation of business solutions</li></ul>]
## 438 [<ul><li>Strong communication and presentation skills</li>\r\r\n<li>High levels of curiosity, creativity, and problem solving capabilities</li>\r\r\n<li>Experience with Python</li>\r\r\n<li>Experience with image classification and object detection using a deep learning library or framework, such as Keras, fastai, Tensorflow or PyTorch</li>\r\r\n<li>Ability to work both independently and collaboratively with a team</li>\r\r\n<li>Experience working in AWS environment</li>\r\r\n<li>Educational background in data science</li>\r\r\n<li>Bachelor’s degree in technical field such as physics, statistics, image science, computer science, or related field</li><br/>\r\r\n</ul>, <ul><li>Experience applying convolution neural networks to perform object detection in satellite imagery</li>\r\r\n<li>Experience with Spark clustered computing</li>\r\r\n<li>Experience supporting Intelligence Community</li><br/>\r\r\n</ul>]
## 439 [<ul>\r\r\n<li>Experience with object-oriented programming</li>\r\r\n<li>Experience with the advanced use of Microsoft Office, including PowerPoint and Excel pivot tables, charts, and functions</li>\r\r\n<li>Ability to obtain a security clearance</li>\r\r\n<li>BA or BS degree required</li>\r\r\n</ul>, <ul>\r\r\n<li>Experience with Java, JavaScript, C#, and VBA</li>\r\r\n<li>Experience with SQL, Microsoft Project, and Microsoft SharePoint</li>\r\r\n<li>Experience with DoD acquisition or the military</li>\r\r\n<li>Experience with data science, data visualization, and database design and maintenance</li>\r\r\n<li>Knowledge of analytics languages, including R or Python</li>\r\r\n<li>Possession of excellent oral and written communication skills</li>\r\r\n<li>MA or MS degree</li>\r\r\n</ul>]
## 440 [<p>At Toptal, we measure everything and always rely on data to guide all of our initiatives, including both our long-term strategy and our day-to-day operations. As a Data Scientist on our Sales Team, you will be working with our operations, growth, and analytics teams to discover actionable business insights, identify high-impact opportunities, and provide our sales team with the data they need to excel. You will be part of a high-energy, fast-paced team responsible for maximizing the revenue growth of the company.</p>, <p>Toptal prides itself on being a data-driven organization. This affects everything from our Product decisions to our Operational processes. With the ever-increasing growth of our organization and the amount of data available to us, it is important that we have team members dedicated to answering hard problems and interpreting data in a way that is actionable for the team.</p>, <p>Tasks may involve analysis of lead quality, pinpointing bottlenecks in our funnel or building dashboards - allowing sales team members to monitor their own progress and maximize their day-to-day efforts.</p>, <p>This task would report to our VP of Sales but would require everyday interactions with many departments of the organization, including Talent Operations, Product, Analytics, and Growth.</p>, <p>This is a remote position that can be done from anywhere.</p>, <ul><li>Use statistical, algorithmic, data mining, and visualization techniques to model complex problems, identify opportunities, discover solutions, and deliver actionable business insights.</li>\r\r\n<li>Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions.</li>\r\r\n<li>Participate in team calls to fully understand the business side of Toptal and the hurdles or concerns we encounter.</li>\r\r\n<li>Take initiative to investigate and volunteer solutions based on that understanding.</li>\r\r\n<li>Be persistent, focused, and disciplined when it comes to finishing your work. At Toptal, we always drive research from start to finish - we don’t get distracted; we don’t leave anything unfinished.</li>\r\r\n<li>Clearly understand the question being asked or the problem at hand.</li>\r\r\n<li>Communicate data-driven insights and recommendations to key stakeholders - ensure that answers/solutions are both clear and usable.</li>\r\r\n<li>Be in constant communication with team members and other relevant parties and convey results efficiently and clearly via Slack.</li>\r\r\n</ul>, <ul><li>Must be available to work during US business hours.</li>\r\r\n<li>A strong background in advanced mathematics (probability theory, statistics, etc), data mining, and business analysis.</li>\r\r\n<li>You must be able to think critically, to look at the big picture and spot what is missing, taking advantage of it to propose improvements and deliver business insights.</li>\r\r\n<li>4+ years of experience in data science and business intelligence or in quantitative academic research, doing exploratory data analysis, testing hypothesis, and building predictive models.</li>\r\r\n<li>Ability to quickly and accurately understand complex new concepts.</li>\r\r\n<li>Proficiency in a programming language of your own choice (R, Python, etc.), and previous experience efficiently conducting research and creating ad hoc reports.</li>\r\r\n<li>Proficiency in data visualization tools (Tableau, Microsoft Power BI, QlikView, etc).</li>\r\r\n<li>An excellent ability to learn new programming languages quickly and effectively.</li>\r\r\n<li>Be excited about collaborating daily with your team and other groups while working via a distributed model.</li>\r\r\n<li>Be eager to help your teammates, share your knowledge with them, and learn from them.</li>\r\r\n<li>Be open to receiving constructive feedback.</li>\r\r\n<li>You must be a world-class individual contributor to thrive at Toptal. You will not be here just to tell other people what to do.</li></ul>]
## 441 [<p><b>Position Description</b></p>, <ul><li>\r\r\nDemonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans</li><li>\r\r\nDevelops analytical models to drive analytics insights</li><li>\r\r\nLeads small and participates in large data analytics project teams</li><li>\r\r\nModels compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity</li><li>\r\r\nParticipates in the continuous improvement of data science and analytics</li><li>\r\r\nPresents data insights and recommendations to key stakeholders</li><li>\r\r\nProvides and supports the implementation of business solutions</li></ul>, <p><b>\r\r\nMinimum Qualifications</b></p>, <ul><li>\r\r\nBachelor of Science and 2 years' data science experience OR Master of Science and 1 years' data science experience.</li></ul>, <p><b>\r\r\nAdditional Preferred Qualifications</b></p>, <ul><li>\r\r\n4 years experience with SQL and relational databases (for example, DB2, Oracle, SQL Server).</li><li>\r\r\n4 years experience with statistical programming languages (for example, SAS, R).</li><li>\r\r\nBachelor's degree in Statistics, Economics, Analytics, Mathematics and 7 years experience in an analytics related field.</li><li>\r\r\nCertificate in business analytics, data mining, or statistical analysis.</li><li>\r\r\nDoctoral degree in Statistics, Economics, Analytics, or Mathematics and 1 year experience in an analytics related field.</li><li>\r\r\nMaster's degree in Statistics, Economics, Analytics, or Mathematics and 3 years experience in an analytics related field.</li></ul>, <p><b>\r\r\nCompany Summary</b></p>, <p><b>Position Summary</b></p>, <ul><li>\r\r\nDemonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans</li><li>\r\r\nDevelops analytical models to drive analytics insights</li><li>\r\r\nLeads small and participates in large data analytics project teams</li><li>\r\r\nModels compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity</li><li>\r\r\nParticipates in the continuous improvement of data science and analytics</li><li>\r\r\nPresents data insights and recommendations to key stakeholders</li><li>\r\r\nProvides and supports the implementation of business solutions</li></ul>]
## 442 [<p>The Director - Data Scientist will lead the Advanced Analytics strategy for internal Enterprise Analytics departments and other MGM Resorts departments, driving execution on data projects and processes using advanced analytics and quantitative methods to drive business performance. The position will be an internal expert on exploring data sources and creating analytical products that help embed predictive and prescriptive analytics into the business. By combining advanced analytics capabilities with programming skills, the Director Data Scientist will help lead the team to drive innovative analytical solutions across MGM Resorts while building departmental standards and best practices.\r\r\n</p>, <p>All duties are to be performed in accordance with departmental and MGM Resorts policies, practices and procedures.\r\r\n</p>, <ul><li>Leads the team that designs experiments, tests hypothesis, performs data mining and builds models to solve highly complex business problems; applies advanced statistical and predictive modeling techniques to build, evaluate, and improve on decision support systems\r\r\n</li><li>Drives the departmental modeling guidelines and formulates the creation of modeling best practices/standards; develops test and version control creation and documentation\r\r\n</li><li>Leads processes including data collection, pre-processing and analysis; develops processes and tools to monitor and analyze model performance and data accuracy\r\r\n</li><li>Coaches the team utilizing predictive modeling to increase and optimize customer experiences, revenue generation, targeting, and other business outcomes; develops company A/B testing framework and test model quality; creates various machine learning-based models or processes within the company such as recommendation engines or automated customer scoring systems\r\r\n</li><li>Ensures the team identifies structured/unstructured and streaming data to solve a business problem while determining appropriate relevancy; automates anomaly detection systems and constant tracking of performance\r\r\n</li><li>Identifies existing model needing to be recalibrated or retrained, and directs the appropriate response\r\r\n</li><li>Actively participates in internal peer review process to validate assumptions and technical approach\r\r\n</li><li>Collaborates with stakeholders to validate and improve results and/or fail fast to higher value opportunities\r\r\n</li><li>Develops and drives the improved analytical capabilities across the aligned functional area(s) and properties\r\r\n</li><li>Partners with Business Intelligence and Enterprise Data Management teams to operationalize and build appropriate change control and monitoring processes for analytical product and/or application programming interfaces\r\r\n</li><li>Manages Human Resources responsibilities for the specifically assigned areas; create and maintain a work environment that promotes client service, teamwork, performance feedback, individual recognition, mutual respect, and employee satisfaction ensuring quality hiring, training, and succession planning processes that encompass the company’s diversity commitment\r\r\n</li><li>Other job related duties as assigned\r\r\n</li></ul>, <p>Education and/or Experience:\r\r\n</p>, <p>Required:\r\r\n</p>, <ul><li>Bachelor’s degree in mathematics, statistics, computer science, economics, engineering, operations research or other related technical field\r\r\n</li><li>Seven (7) or more years of experience in similar advanced analytics role in a professional environment\r\r\n</li><li>Previous experience mentoring more junior team members\r\r\n</li><li>Demonstrated experience in statistical analysis, quantitative analytics, forecasting, predictive analytics, multivariate testing, and/or optimization algorithms\r\r\n</li></ul>, <p>Preferred:\r\r\n</p>, <ul><li>Advanced degree in mathematics, statistics, computer science, economics, engineering, operations research or other related technical field\r\r\n</li><li>Previous leadership experience\r\r\n</li><li>Previous experience working in a similar integrated resort setting</li></ul>]
## 443 [<ul><li><b>Primary Location:</b> United States,Texas,Irving</li><li><b>\r\r\nEducation:</b> Bachelor's Degree</li><li><b>\r\r\nJob Function:</b> Technology</li><li><b>\r\r\nSchedule:</b> Full-time</li><li><b>\r\r\nShift:</b> Day Job</li><li><b>\r\r\nEmployee Status:</b> Regular</li><li><b>\r\r\nTravel Time:</b> No</li><li><b>\r\r\nJob ID:</b> 18064259</li></ul>, <ul><li>Interacting with Business analysts and managers to understand the requirements behind BRDs/FRDs/SRs</li></ul>, <ul><li>Complete understanding of application code through code compilation, code walkthrough, execution flow, overall design</li></ul>, <ul><li>Participate in design review/code/project review meetings- local/global</li></ul>, <ul><li>Hands on Development using python based Machine Learning, NLP and NLG</li></ul>, <ul><li>Unit testing, Integration testing, UAT/SIT support</li></ul>, <ul><li>Code check in, check out, merge, build management as needed</li></ul>, <ul><li>Clean data to improve accuracy</li></ul>]
## 444 [<p>Analyzes large sets of data (structured and unstructured) in order to identify hidden patterns and systemic relationships that can be used to predict future behaviors. Be able to transform information into insights that help business users make more meaningful, evidence-based decisions.</p>, <p><b>Responsibilities:</b></p>, <ul><li>Work closely with our business partners to support their department strategy. Implements this strategy by reviewing our various data sets to understand data trends.</li>\r\r\n<li>Perform strategic data analysis and research to better understand our customers.</li>\r\r\n<li>Ability to draw insights from multiple data sources to provide better visibility into safety/quality related issues.</li>\r\r\n<li>Develop analytical approaches to answer high-level questions and develop insightful recommendations.</li>\r\r\n<li>Demonstrate a client-service mindset and a desire to take on tough and challenging projects.</li>\r\r\n<li>Ability to balance the demands of multiple projects simultaneously.</li>\r\r\n</ul>, <p><b>Additional Responsibilities:</b></p>, <ul><li>Mentor IT staff and business users regarding data mining and analysis procedures in order to ensure business goals and objectives are met.</li>\r\r\n<li>Assist in preparation and cleansing of data for analysis.</li>\r\r\n<li>Educate business users on advanced analytics best practices.</li>\r\r\n</ul>, <p><b>Required Skills/Abilities</b></p>, <ul><li>Knowledge and understanding of statistical theory and machine learning techniques, including generalized linear models, survival analysis, decision trees, and clustering techniques.</li>\r\r\n<li>Excellent programming skills including expertise in R, Shiny, RStudio, and SQL. Ability to use advanced techniques to handle big data with structured and unstructured data.</li>\r\r\n<li>Prior experience with visualization tools such as D3.js, HTML, and CSS is a plus.</li>\r\r\n<li>Linux server-side application administration experience (RStudio Server, Shiny Server, RStudio Connect) a plus.</li>\r\r\n<li>Ability to work both independently and collaboratively.</li>\r\r\n<li>Excellent oral and written communication skills.</li>\r\r\n</ul>, <p><b>Education/Experience</b></p>, <p>BA/BS + 8 years of related experience.</p>]
## 445 [<ul><li>Draw conclusions from research/analysis and effectively communicate findings to business and technology leadership and colleagues</li>\r\r\n<li>Perform ad-hoc analysis against key internal and external datasets to recognize patterns, behaviors and clusters/networks</li>\r\r\n<li>Create visualizations to depict the data patterns identified through data science methods/tools</li>\r\r\n<li>Contribute to on-going evaluation and development of key performance indicators and drivers for the company against key dataset using analytic practices and tools</li>\r\r\n<li>Develops additional technical competencies and subject matter expertise within core functional groups</li>\r\r\n<li>Documenting the types and structure of the business data (logical modeling) and lineage.</li>\r\r\n<li>Leverage geospatial analysis and tools to help the business with understanding geographical customer patterns and optimize sales territories to derive operational efficiencies.</li>\r\r\n<li>Assist the Sales and marketing teams formulate, measure and track KPIs that align with Business Strategy. Assist the teams with automation of workflows</li>\r\r\n<li>Analyzing and mining business data to identify patterns and correlations among various data points</li>\r\r\n<li>Mapping and tracing data from system to system in order to solve a given business or system problem</li>\r\r\n<li>Requirements analysis and documentation</li>\r\r\n<li>Identify and define problems, evaluate alternatives and implement effective solutions</li>\r\r\n</ul>]
## 446 [<ul><li>Data mining and developing relevant data transformation logic</li>\r\r\n<li>Knowledge of data preparation techniques to aid statistical analysis</li>\r\r\n<li>Designing processes to integrate data from multiple sources to facilitate client centric advanced analytics</li>\r\r\n<li>Developing efficient, scalable and repeatable processes to transform data into insight on regular basis</li>\r\r\n<li>Prior model development experience leveraging latest big data tools/platforms (i.e. R, Python, machine learning techniques, Hadoop environment)</li>\r\r\n<li>Experience training and optimizing machine learning models and the accompanying algorithms and methods (e.g. Bayesian, Forest/Tree, SVM, SGD, Neural Nets e.g Keras/Theano/Tensorflow, boosting, logistic regression)</li>\r\r\n<li>Demonstrated experience with both analytical and algorithmic Data Science</li>\r\r\n<li>Highly proficient in either Python for data science with specific reference to the math/stats capabilities and data visualization capabilities.</li>\r\r\n<li>Using best practices framework to ensure data quality and reconciliation checks are in place and are transparent to our users</li>\r\r\n<li>Leveraging written, oral and visual communication skills to collaborate effectively with analysts and business partners across DTCC</li>\r\r\n<li>Aligns risk and control processes into day to day responsibilities to monitor and mitigate risk; escalates appropriately</li></ul>, <ul><li><b>Accountability:</b> Demonstrates reliability by taking necessary actions to continuously meet required deadlines and goals.</li>\r\r\n<li><b>Global Collaboration:</b> Applies global perspective when working within a team by being aware of own style and ensuring all relevant parties are involved in key team tasks and decisions.</li>\r\r\n<li><b>Communication:</b> Articulates information clearly and presents information effectively and confidently when working with others.</li>\r\r\n<li><b>Influencing:</b> Convinces others by making a strong case, bringing others along to their viewpoint; maintains strong, trusting relationships while at the same time is comfortable challenging ideas.</li>\r\r\n<li><b>Innovation and Creativity:</b> Thinks boldly and out of the box, generates new ideas and processes, and confidently pursues challenges as new avenues of opportunity.</li></ul>, <ul><li>Minimum of 2 years related experience</li>\r\r\n<li>Bachelor's degree preferred with Masters or equivalent experience</li></ul>]
## 447 [<p><b>Requisition ID: </b>198752<br/>\r\r\n<b>Work Area: </b>Customer Service and Support<br/>\r\r\n<b>Expected Travel: </b>0 - 10%<br/>\r\r\n<b>Career Status: </b>Professional<br/>\r\r\n<b>Employment Type: </b>Regular Full Time<br/>\r\r\n<b>Original Posting Date: 10/18/2018</b><br/>\r\r\n</p>, <p><b>\r\r\nCOMPANY DESCRIPTION</b></p>, <p>\r\r\nSAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.<br/>\r\r\nSAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives.</p>, <p><b>\r\r\nJob Title:</b> Data Scientist</p>, <p><b>\r\r\nLocation:</b> Palo Alto, California</p>, <p><b>\r\r\nPurpose and Objective:</b> SAP Labs, LLC seeks a Data Scientist for our Palo Alto, CA office to work in different areas, such as customer projects (co-innovation, consulting, custom development, projects with internal customers), development, or research.</p>, <p><b>\r\r\nExpectations and Tasks:</b> Customer projects: execute the mathematical modeling of our customers’ business problems, develop algorithms, data mining flows and applications to solve these problems, and help our customers directly to understand and implement the results of the analysis. In this role, work directly with industry experts and technology experts to translate our customers’ business needs into mathematical models and present and deliver a solution to the client. Development: integrate or implement data mining/mathematical methods into products. Responsible for evaluating and testing data mining methods and maintains a high level of quality. Work closely with the senior data scientist to prototype new innovations and eventually get them into the product. Contribute to data definitions, data storage infrastructure for data mining purposes and to Data Mining architectures. Resolve data mining performance issues, monitor data mining system performance, and implement efficiency improvements. Implement data mining algorithms if required. Work closely with product management, application developers, information developers and end users. Research Projects: perform functional and empirical analysis on data mining topics. Conduct research on data mining tools and algorithms, implement prototypes and data mining algorithms and validate them on real data. Contribute to best practices for data mining topics and collaborate with development, universities and research institutes.</p>, <p><b>\r\r\nEducation and Qualifications/Skills and Competencies:</b> Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, Business Analytics or a related field and 5 years of experience. Alternatively, the company will accept a Master's degree and 2 years of experience.</p>, <p><b>\r\r\nWork Experience:</b> Experience must include 1 year of experience involving the following: developing state-of-the-art enterprise solutions leveraging deep learning and machine learning; translating the recent results from research and academia in the area of Neural Networks into enterprise software modules; implementing Computer Vision and Image Processing algorithms to solve business challenges; implementing Natural Language Processing and Natural Language Understanding components to understand business context; integration of speech-to-text frameworks into enterprise software; implementing machine learning-based solutions using C, C++, Python, Java, MATLAB, OpenCV, NLP Frameworks; and Agile software development, task coordination and execution. 10% travel required.</p>, <p><b>\r\r\nTravel:</b> 10% travel required.</p>, <p><b>\r\r\nInternal use only: reference code lhrs4262</b></p>, <p><b>\r\r\nSAP'S DIVERSITY COMMITMENT</b><br/>\r\r\n<br/>\r\r\nTo harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.<br/>\r\r\n<br/>\r\r\nSAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team (Americas: Careers.NorthAmerica@sap.com or Careers.LatinAmerica@sap.com, APJ: Careers.APJ@sap.com, EMEA: Careers@sap.com). Requests for reasonable accommodation will be considered on a case-by-case basis.<br/>\r\r\n<br/>\r\r\nEOE AA M/F/Vet/Disability:<br/>\r\r\n<br/>\r\r\nQualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.<br/>\r\r\n<br/>\r\r\n<b>Additional Locations :</b></p>]
## 448 [<ul>\r\r\n<li>5+ years of experience working in a professional environment</li>\r\r\n<li>Experience with machine learning algorithms</li>\r\r\n<li>Experience implementing algorithms with Python, R, and Java</li>\r\r\n<li>Experience with dashboard and visualization tools, including Spotfire and Tableau</li>\r\r\n<li>Ability to manipulate, integrate, and analyze large and complex data sets using SQL and NoSQL database platforms</li>\r\r\n<li>Ability to provide non-technical users with data-driven tools for implementing machine learning into workflows, as needed</li>\r\r\n<li>Ability to obtain a security clearance</li>\r\r\n<li>BA or BS degree</li>\r\r\n</ul>, <ul>\r\r\n<li>Experience with financial and healthcare claims data a plus</li>\r\r\n<li>Experience with developing data analytic solutions to predict and detect fraud</li>\r\r\n<li>Experience with developing analytic solutions on Cloud platforms</li>\r\r\n<li>Experience with developing machine learning, deep learning, or natural language, including processing unstructured text data</li>\r\r\n<li>Experience with leading technical project teams</li>\r\r\n<li>MA or MS degree</li>\r\r\n</ul>]
## 449 [<ul><li>2 years' relevant experience plus a Bachelor's Degree in Epidemiology, Statistics, Biostatistics, Applied Mathematics, Operations Research or other relevant field is required.</li>\r\r\n<li>Experience with basic statistical analyses (e.g., t-tests, ANOVA, factor analysis, linear and logistic regression), and proficiency with statistical programs such as R, SAS, MATLAB, or SPSS is required.</li>\r\r\n<li>Successful candidates will have demonstrated experience in data management (e.g., Oracle, Excel, SQL).\r\r\n</li><li>US Citizenship is required\r\r\n</li><li>The ability to work in Monterey is required (no telecommuting is available for this position)\r\r\n</li></ul>, <ul><li>Master's Degree in Epidemiology, Statistics, Biostatistics, Applied Mathematics, Operations Research or other relevant field is strongly preferred.</li>\r\r\n<li>Ideal candidates will have demonstrated programming and/or scripting experience (e.g., Python, C#, Java, Perl).\r\r\n</li><li>Experience with sophisticated analyses (e.g., longitudinal modeling, machine learning, non-parametric statistical modeling) and data visualization (e.g., Tableau, Qlik, R Shiny, Microstrategy) is preferred.<br/>\r\r\n</li></ul>]
## 450 [<p><b>What you’ll be doing...</b>\r\r\n</p>, <p>Be a part of the team that identifies trends, emerging technologies and growth markets—all things that keep us at the forefront of innovation and drive our success.</p>, <p>\r\r\nAs a Data Scientist with Internal Audit you will be part of an objective assurance and consulting team that is independently managed within Verizon Communications designed to add value and improve operations. The team assists the Audit Committee of the Board of Directors and Verizon management in accomplishing their objectives by bringing a systematic and disciplined approach to evaluate and improve the effectiveness of the overall control environment, risk management, and governance processes. As a part of the Internal Audit team you will gain extensive exposure to diverse aspects of Verizon's business through audit assist and risk modeling. These audit assignments include increasing levels of responsibilities and presentations to senior management, making the team an excellent place to succeed.</p>, <p><b>\r\r\nWhat we’re looking for...</b>\r\r\n</p>, <p>You’ll need to have:</p>, <ul><li>\r\r\nBachelor’s degree or four or more years of work experience.</li><li>\r\r\nFour or more years of relevant work experience.</li><li>\r\r\nExperience in analytics, technology, auditing, accounting, finance or economics.</li></ul>, <p>\r\r\nEven better if you have:</p>, <ul><li>\r\r\nBachelor’s degree in Management Information Systems, Computer Science, Accounting, Business, Finance, Economics, Statistics or related field. Ideally your Master’s degree.</li><li>\r\r\nDemonstrated strong business analytical skills; ability to apply business logic to design and implement data mining techniques on large data sets.</li><li>\r\r\nWorking knowledge of predictive and prescriptive analytics, data mining and machine learning a plus (Python and R preferred).</li><li>\r\r\nProjects with evidence of Creative and Critical thinking.</li><li>\r\r\nUnderstanding of Data Warehousing.</li><li>\r\r\nProficiency in the use of Teradata SQL, MS SQL server (SSIS/SSAS experience preferred), Data Visualization (e.g., Tableau or other).</li><li>\r\r\nExperience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.</li><li>\r\r\nWorking knowledge of ‘Big Data’ concepts and Hadoop/Hive and Teradata Aster.</li><li>\r\r\nWorking knowledge of building self-serve analytics tools for business users.</li><li>\r\r\nWorking knowledge of application development and/or web development.</li><li>\r\r\nExperience with Verizon Wireless Enterprise Data Warehouse.</li><li>\r\r\nDemonstrated ability to work independently and within a team in a fast changing environment with changing priorities and changing time constraints.</li><li>\r\r\nDemonstrated strong interpersonal skills and ability to multi-task.</li><li>\r\r\nCapability to interpret business requests as well as communicate findings in a user-friendly manner.</li><li>\r\r\nExperience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.</li><li>\r\r\nDemonstrated capability to write clear, concise reports and presentations with an ability to effectively communicate; organizational and documentation skills.</li><li>\r\r\nAn understanding of risk management methodology and factors.</li><li>\r\r\nConsolidated issues for management level review; developed clear written recommendations; presented recommendations and resolved issues with management.</li></ul>, <p><b>\r\r\nWhen you join Verizon...</b>\r\r\n</p>, <p>You’ll be doing work that matters alongside other talented people, transforming the way people, businesses and things connect with each other. Beyond powering America’s fastest and most reliable network, we’re leading the way in broadband, cloud and security solutions, Internet of Things and innovating in areas such as, video entertainment. Of course, we will offer you great pay and benefits, but we’re about more than that. Verizon is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at Verizon.</p>, <p><b>\r\r\nEqual Employment Opportunity</b>\r\r\n</p>, <p>We're proud to be an equal opportunity employer- and celebrate our employees' differences,including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. Different makes us better.</p>]
## 451 [<p><b>The Opportunity\r\r\n</b></p>, <p>Pluralsight Iris is the learning intelligence platform built within Pluralsight. It helps technologists worldwide discover the learning they need to achieve their personal and career goals in technology.</p>, <p>\r\r\nAs a data scientist on our core team, you will help us you will help us solve novel statistical, machine learning, and data science problems by building and improving on the intelligence of Iris. We are looking for an experienced data scientist who loves tackling ambiguous problems, finding creative and practical solutions, and producing concrete prototypes that will become a key part of Pluralsight’s user experience. You’ll work closely with an established team of top-notch, collaborative data scientists and you will collaborate with a cross-functional product team that is responsible for one of Pluralsight’s key differentiators.</p>, <p><b>\r\r\nWho you are:</b></p>, <ul><li>\r\r\nYou are intellectually curious, collaborative, and highly driven with an entrepreneurial mindset. You have excellent critical thinking, problem solving, and analytical skills.You can guide complex projects from ideation and planning to model design to deployment and independently make decisions about the technical approach</li><li>\r\r\nYou have a strong foundation in Machine Learning, Computer Science, and Statistics.</li><li>\r\r\nYou have mastery of either Python or R. Regardless of your favorite scientific computing environment, you can flex between the two languages.</li><li>\r\r\nYou know your way around SQL-like databases (e.g. PostGres, Impala, Hive) and even better if have experience with Spark and other big data platforms.</li><li>\r\r\nYou are able to perform rapid prototyping of experimental solutions, writing readable, scalable, and reproducible code.</li><li>\r\r\nYou have a solid data science toolkit that you can leverage, with knowledge of and understanding of how and when to apply different algorithms and technical approaches.</li><li>\r\r\nYou can describe and speak in an approachable way about complex analyses and concepts within a cross-functional team. You are a great “analytic translator”.</li></ul>, <p><b>\r\r\nWhat you’ll do:</b></p>, <ul><li>\r\r\nYou will collaborate with the Iris product teams to research, envision, and create quality reliable data science solutions needed to drive our user experience outcomes.</li><li>\r\r\nYou will create, iterate, and innovate on Iris algorithms and partner to implement them on the Pluralsight platform.</li><li>\r\r\nChampion the introduction of new technology by developing proof-of-concepts and prototypes and effectively communicating highly complex information to Experience team partners</li><li>\r\r\nYou will propose and design experiments to test new product features and analyze their results.</li></ul>, <p><b>\r\r\nExperience you’ll need:</b></p>, <ul><li>\r\r\nM.S. or Ph.D in Computer Science, Statistics, Mathematics, Data Science, or related quantitative discipline</li><li>\r\r\nMinimum 5 years in a non-academic data science role, conducting analysis, developing algorithms and building prototypes</li><li>\r\r\nExperience working with product development teams and/or with developers</li></ul>, <p>Be Yourself.<b> </b>Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.</p>]
## 452 [<p>We’re looking for a Data Scientist in our growing Enterprise Analytics area to develop new data science products using machine learning, natural language processing, data visualization techniques, and other forms of advanced analytics.</p>, <p>\r\r\nThe Enterprise Analytics team is also a Center of Excellence for data science at Blue Cross and Blue Shield of Illinois, New Mexico, Montana, Oklahoma & Texas. This person will spend approximately a quarter of their time promoting best practices in data science across the enterprise and leading and organizing technical training for the broader community.</p>, <p>\r\r\nAt the largest customer-owned and not-for-profit health insurer and fourth largest health insurer overall in the United States, you will have the opportunity to work with massive datasets to drive revenue growth, improve our operational and member-facing processes, and affect how healthcare is delivered to our members.</p>, <p>\r\r\nAn ideal candidate would be someone who loves working with data, demonstrates a continuous learning and growth mindset, possesses an interest in the intersection of healthcare and technology, and has an ability to communicate complex technical concepts to non-technical audiences.</p>, <ul><li>Bachelor's degree and 3 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential or Master</li><li>s degree and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 6 years</li><li>experience in an advanced mathematical, statistical, computer science, engineering, physics, economics or related quantitative field.</li><li>Strong learning and growth mindset</li><li>Customer-focused</li><li>Strong interpersonal, verbal and written communication skills.</li><li>Must demonstrate proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.</li><li>Proficiency with Microsoft applications including Access, Excel, Word and Power Point.</li></ul>, <ul><li>Masters or Ph.D. in a quantitative field, or bachelors degree with significant healthcare experience.</li></ul>, <p>HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. We are an Equal Opportunity Employment / Affirmative Action employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Drug screening and background investigation are required, as allowed by law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.\r\r\n</p>, <p>HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants.\r\r\n</p>, <p>If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can email us <b>here</b> to request reasonable accommodations.\r\r\n</p>, <p>Please note that only <b>requests for accommodations in the application process</b> will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to "my account"" and click on ""View your job submissions"".</p>]"
## 453 [<p><b>Data Scientist</b></p>, <p><b>Description</b></p>, <p>At Pearson, we’re committed to a world that’s always learning and to our talented team who makes it all possible. From bringing lectures vividly to life to turning textbooks into laptop lessons, we are always re-examining the way people learn best, whether it’s one child in our own backyard or an education community across the globe. We are bold thinkers and standout innovators who motivate each other to explore new frontiers in an environment that supports and inspires us to always be better. By pushing the boundaries of technology — and each other to surpass these boundaries — we create seeds of learning that become the catalyst for the world’s innovations, personal and global, large and small.</p>, <p>We are looking for a Data Scientist specializing in Computer Vision to join Pearson’s AI Products and Solutions team. Our mission is to enable the development of AI-first, outcome-driven products to improve learning experiences. The position provides the opportunity to engage in cutting-edge research on a cross-functional team and contribute to developing products that have an impact on millions of learners around the globe.</p>, <ul><li><p>Conduct research into state of the art techniques in computer vision in support of educational applications.</p></li>\r\r\n<li><p>\r\r\nDevelop computer vision capabilities that enable new and exciting learning experiences</p></li>\r\r\n<li><p>\r\r\nLeverage complex data sources including emerging content types and technology-based student interactions.</p></li>\r\r\n<li><p>\r\r\nWork collaboratively with team members and other stakeholders to build functional prototypes leading to new products and businesses.</p></li>\r\r\n</ul>, <p>Conduct research into state of the art techniques in computer vision in support of educational applications.</p>, <p>\r\r\nDevelop computer vision capabilities that enable new and exciting learning experiences</p>, <p>\r\r\nLeverage complex data sources including emerging content types and technology-based student interactions.</p>, <p>\r\r\nWork collaboratively with team members and other stakeholders to build functional prototypes leading to new products and businesses.</p>, <p><b>Qualifications</b></p>, <ul><li><p>Computer Vision experience</p></li>\r\r\n<li><p>\r\r\nExperience working with deep learning frameworks (e.g. TensorFlow, pyTorch)</p></li>\r\r\n<li><p>\r\r\nM.S. in CS or a related field or relevant experience.</p></li>\r\r\n<li><p>\r\r\nDemonstrable coding skills in Python.</p></li>\r\r\n<li><p>\r\r\nA knack for creative problem solving and willingness to learn new technologies and skills.</p></li>\r\r\n</ul>, <p>Computer Vision experience</p>, <p>\r\r\nExperience working with deep learning frameworks (e.g. TensorFlow, pyTorch)</p>, <p>\r\r\nM.S. in CS or a related field or relevant experience.</p>, <p>\r\r\nDemonstrable coding skills in Python.</p>, <p>\r\r\nA knack for creative problem solving and willingness to learn new technologies and skills.</p>, <p>Nice to Have:</p>, <ul><li><p>Ph.D. in CS or a related field or relevant experience.</p></li>\r\r\n<li><p>\r\r\nExperience or interest in learning C</p></li>\r\r\n<li><p>\r\r\nExperience writing unit-tests for deep learning models.</p></li>\r\r\n<li><p>\r\r\nExperience interweaving Computer Vision with Natural Language Processing a plus.</p></li>\r\r\n</ul>, <p>Ph.D. in CS or a related field or relevant experience.</p>, <p>\r\r\nExperience or interest in learning C</p>, <p>\r\r\nExperience writing unit-tests for deep learning models.</p>, <p>\r\r\nExperience interweaving Computer Vision with Natural Language Processing a plus.</p>, <p>#LI-TM</p>, <p>Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply.</p>]
## 454 [<ul>\r\r\n<li>Experience with object-oriented programming</li>\r\r\n<li>Experience with the advanced use of Microsoft Office, including PowerPoint and Excel pivot tables, charts, and functions</li>\r\r\n<li>Ability to obtain a security clearance</li>\r\r\n<li>BA or BS degree required</li>\r\r\n</ul>, <ul>\r\r\n<li>Experience with Java, JavaScript, C#, and VBA</li>\r\r\n<li>Experience with SQL, Microsoft Project, and Microsoft SharePoint</li>\r\r\n<li>Experience with DoD acquisition or the military</li>\r\r\n<li>Experience with data science, data visualization, and database design and maintenance</li>\r\r\n<li>Knowledge of analytics languages, including R or Python</li>\r\r\n<li>Possession of excellent oral and written communication skills</li>\r\r\n<li>MA or MS degree</li>\r\r\n</ul>]
## 455 [<p><b>Organization and Job ID</b></p>, <p>Job ID: 308494</p>, <p>Directorate: National Security</p>, <p>Division: Computing & Analytics</p>, <p>Group: Applied Statistics & Computational Modeling</p>, <p><b>Job Description</b></p>, <p>This position is for a Scientist in Applied Statistics and Computational Modeling who will provide scientific and technical research supporting the data analytics capabilities of the Computing & Analytics Division and the broader data science needs of the laboratory. The Scientist will define and carry out the application of existing methodologies and original research in machine learning and data science largely focused in the area of omics technologies, however the scientist should have the ability to work across domains as necessary. In addition to technical research, this position expects participation and career development in task management, proposal writing, business development, and publishing.</p>, <p>Operating on the data-information-knowledge continuum, staff at PNNL employ diverse methods to confront significant problems of national interest—from distilling distributed data into knowledge that supports decision processes, to enabling biomarker discovery, to equipping cyber defenders with tools that prevent damaging cyber-attacks.</p>, <p>Our research portfolio—spanning from basic to applied—includes data and computational engineering, high-performance computing, applied mathematics, semantic and human language technologies, machine learning, data and computing architectures, systems integration, and software and application development.</p>, <p>Computing researchers and practitioners work side by side to apply advanced theories, methods, algorithms, models, evaluation tools and testbeds, and computational-based solutions address complex scientific challenges affecting energy, biological sciences, the environment, and national security.</p>, <p><b>Minimum Qualifications</b></p>, <ul><li><p>Bachelor's degree with 2+ years’ experience, Master's degree or PhD</p></li>\r\r\n<li><p>Position requires a degree in bio-statistics, statistics, mathematics or closely related fields with experience involving increasing levels of scientific, task management, and programmatic responsibility</p></li>\r\r\n<li><p>Research experience in multiple areas of computational analytics including areas such as machine learning, data mining, statistical modeling, and optimization</p></li>\r\r\n<li><p>Research experience in computational biology and omics technologies, such as genomics, proteomics, and metabolomics</p></li>\r\r\n<li><p>Ability to work in and support operations in a high-security environment</p></li>\r\r\n</ul>, <p>Bachelor's degree with 2+ years’ experience, Master's degree or PhD</p>, <p>Position requires a degree in bio-statistics, statistics, mathematics or closely related fields with experience involving increasing levels of scientific, task management, and programmatic responsibility</p>, <p>Research experience in multiple areas of computational analytics including areas such as machine learning, data mining, statistical modeling, and optimization</p>, <p>Research experience in computational biology and omics technologies, such as genomics, proteomics, and metabolomics</p>, <p>Ability to work in and support operations in a high-security environment</p>, <p><b>Preferred Qualifications</b></p>, <ul><li>PhD in bio-statistics, statistics, mathematics or closely related fields.</li>\r\r\n</ul>, <p><b>Equal Employment Opportunity</b></p>, <p>Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.</p>, <p>Directorate: National Security Dir</p>, <p>Job Category: Computation and Information Sciences</p>, <p>Group: Appld Stats & Computa Modeling</p>, <p>Opening Date: 2018-10-22</p>, <p>Closing Date: 2018-12-20</p>]
## 456 [<p><b>Our company\r\r\n</b></p>, <p>Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.\r\r\n</p>, <p>We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.\r\r\n</p>, <p><b>The challenge\r\r\n</b></p>, <p>One of the challenges as Adobe grows is to accurately measure our customers. Our org, Marketing & Customer Insights (MCI) within the Global Marketing Organization BU, focuses on such measurements to bring insights around our customers.\r\r\n</p>, <p>Your job as an intern will be enabling Customer Lifetime Value (LTV), and Customer Acquisition Cost (CAC) as forms of financial measurements and marketing insights. This exciting project will involve integration of machine learning models into real business applications. As such, the challenge requires you to deliver end-to-end results from working with raw data to delivering meaningful results and business insights from the outputs of the processed data. With CAC and LTV, we believe that we can get a holistic picture of our customers, their value to Adobe, and how we can strategize to maximize their worth. In other words, what you’ll do will have real business impact!\r\r\n</p>, <p><b>What you’ll do\r\r\n</b></p>, <ul><li>Process and understand ‘Really Big Data’ around our customers\r\r\n</li><li>Utilize machine learning models to deliver meaningful business insights\r\r\n</li><li>Make a cross-functional impact with our Finance, Operations, and Corporate Development Organization\r\r\n</li><li>Work with an awesome team under Marketing & Customer insights\r\r\n</li></ul>, <p><b>What you need to succeed\r\r\n</b></p>, <ul><li>A major in statistics, math, computer science or any related field that features logic and rigor\r\r\n</li><li>Prior experience dealing with data processing, modelling, or analytics\r\r\n</li><li>Prior experience using SQL, Tableau, and R (or equivalent statistical language)\r\r\n</li><li>Exceptional ability to communicate ideas succinctly\r\r\n</li><li>Employees who complement our customer-centric culture\r\r\n</li><li><i>Master’s program preferred, but not required\r\r\n</i></li></ul>, <p><b>Get to know the team\r\r\n</b></p>, <p>Global Marketing is responsible for developing and implementing Adobe's brand, communications and integrated marketing efforts worldwide to drive business goals and deliver exceptional customer experiences across every marketing touch point. And they do it all as Adobe’s best trialists and customers, using Adobe Creative Cloud and Adobe Experience cloud to create, implement, measure and optimize all marketing programs.\r\r\n</p>, <p>Take a peek into Adobe life in this video .\r\r\n</p>, <p>When you join Adobe, you can look forward to collaborating with the most genuine people in the industry, working on projects with real purpose, and having immense pride in the products we create and the customers we support. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.\r\r\n</p>, <p>Adobe is an equal opportunity employer. We hire talented individuals, regardless of gender, race, ethnicity, ancestry, age, disability, sexual orientation, gender identity or expression, veteran status, cultural background or religious beliefs. We know that when our employees feel appreciated and included, they can be more creative, innovative and successful. This is what it means to be Adobe For All. Learn more about our vision here .\r\r\n</p>, <p>Come create experiences that matter at a company that is recognized around the world and hear what our employees are saying about their career experiences on the Adobe Life blog .\r\r\n</p>, <p>At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists . You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.\r\r\n</p>, <p>If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.\r\r\n</p>, <p>Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age , sexual orientation, gender identity, disability or veteran status.</p>]
## 457 [<ul><li>Requires a PhD or foreign equivalent degree in mechanical engineering, industrial engineering, operations research, statistics or related quantitative field</li><li>\r\r\n2 years of experience in the position offered or 2 years of experience using mathematical programming, optimization techniques, data mining, or statistical analysis\r\r\n</li><li>2 years of experience using analytic languages and frameworks, including Python, MATLAB, SAS, R, CPLEX or Java</li><li>\r\r\n1 year of experience using database query and management tools, including SQL and Alteryx</li></ul>]
## 458 [<ul><li>\r\r\nLead the effort in shaping our “Data as a Service” product line, one of our core strategic initiatives.</li><li>\r\r\nDesign data related processes and best practices in a way that drives value into every aspect of the organization and aligns to all strategic business priorities.</li><li>\r\r\nBuild leading-edge predictive models and machine learning algorithms.</li><li>\r\r\nBuild a structure and process for modeling, predicting, and classifying user behavior and other business metrics.</li><li>\r\r\nDesign multi-variate tests. Oversee the execution of the tests and the evaluation of the results.</li><li>\r\r\nFacilitate ad-hoc analysis and present findings in a clear and concise manner.</li><li>\r\r\nCollaborate with the Technology team to architect data collection procedures to include required information used for building analytic systems.</li><li>\r\r\nManage data related initiatives and communicate associated priorities to stakeholders and company leadership.</li><li>\r\r\nAnalyze large amounts of information to discover trends and patterns.</li><li>\r\r\nAssist the Audience Development team in setting company goals.</li><li>\r\r\nCollaborate with the Audience Development and Marketing teams to integrate learnings into editorial and user products.</li><li>\r\r\nFacilitate the processing, cleansing, and verification of the integrity of the data, used for various analysis.</li><li>\r\r\nSupport formulation of key performance indicators and goals measurement, modeling key factors to performance outcomes.</li><li>\r\r\nRemain up to date with emerging digital technologies and assess their relevance to our products and services.</li></ul>, <ul><li>\r\r\nMinimum of a Bachelor’s Degree in Computer Science, Statistics, Applied Mathematics or related field. Advanced degree preferred.</li><li>\r\r\n5+ years’ experience with ETL, data processing, database programming (SQL Preferred) and data analytics.</li><li>\r\r\nExtensive background in data mining and statistical analysis on larger data sets.</li><li>\r\r\nExperience with programming languages such as Java/Python or related.</li><li>\r\r\nResults-driven individual focused on increasing website KPIs.</li><li>\r\r\nDemonstrated ability to find meaning in numbers and helping an organization transform this analysis and actionable intelligence into defined business outcomes.</li><li>\r\r\nSuperior and compelling communication skills required, both written and oral.</li><li>\r\r\nExperience with model evaluation, hypothesis testing, and experimental design.</li></ul>, <p><b>\r\r\nIEEE GlobalSpec is an Equal Opportunity Employer.</b></p>]
## 459 [<ul>\r\r\n<li>Experience with Big Data analysis programming techniques and technologies</li>\r\r\n<li>Knowledge of data science tools and concepts</li>\r\r\n<li>Ability to obtain a security clearance</li>\r\r\n<li>BA or BS degree</li>\r\r\n</ul>, <ul>\r\r\n<li>Experience with analytics, data mining, and problem-solving</li>\r\r\n<li>Experience with parallel processing of data using Spark a plus</li>\r\r\n<li>Possession of excellent oral and written communication skills</li>\r\r\n<li>MA or MS degree preferred; PhD degree aplus</li>\r\r\n</ul>]
## 460 [<p>The main focus for this role is developing/monitoring models used in multivariate analysis, linear modeling and data mining. This would include developing and testing predictive risk models; interact, understand and articulate the complex mathematical and computational learning concepts (to appropriate staff).In addition, this position will be expected to understand the business goals (growth) and capital strength and make strategic recommendations to enhance business processes and reflect our strategic goals.</p>, <p>\r\r\nRESPONSIBILITIES/TASKS:</p>, <ul>\r\r\n<li>Responsibilities will be multi-disciplinary and will include:\r\r\n<ul><li>Provides technical and quantitative analysis for predictive modeling group.</li>\r\r\n<li>Assists in statistical data mining and actuarial research by applying advanced statistical concepts.</li>\r\r\n<li>Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages.</li>\r\r\n<li>Participates in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills.</li>\r\r\n<li>Conducts research utilizing predictive modeling.</li>\r\r\n<li>Interprets data and identifies correlations using both univariate and multivariate analysis.</li>\r\r\n<li>Participates in and is responsible for advanced projects.</li>\r\r\n<li>Presents findings and recommendations to appropriate groups.</li>\r\r\n<li>Prepares and delivers summary reports to the relevant or affected areas within the company. Helps to determine what actionable steps can be taken based on the findings.</li>\r\r\n<li>Communicates and trains users on model results.</li></ul>\r\r\n<ul><li>Develops custom, explainable models that enhance business processes to reflect corporate goals, experience, and current market conditions using pattern recognition, evolutionary computation, and machine learning algorithms.</li></ul></li>\r\r\n<li>Document model requirements.</li>\r\r\n<li>Examine and analyze data to determine optimal modeling approach.</li>\r\r\n<li>Identify candidate risk factors.</li>\r\r\n<li>Build models using training, test, and cross-validation data sets.</li>\r\r\n<li>Share model results.</li>\r\r\n<li>Finalize model.</li>\r\r\n<li>Delivers conclusions.</li>\r\r\n<li>Deploy and maintain models with or without the assistance of the IT department</li></ul>, <ul><li>Provides technical and quantitative analysis for predictive modeling group.</li>\r\r\n<li>Assists in statistical data mining and actuarial research by applying advanced statistical concepts.</li>\r\r\n<li>Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages.</li>\r\r\n<li>Participates in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills.</li>\r\r\n<li>Conducts research utilizing predictive modeling.</li>\r\r\n<li>Interprets data and identifies correlations using both univariate and multivariate analysis.</li>\r\r\n<li>Participates in and is responsible for advanced projects.</li>\r\r\n<li>Presents findings and recommendations to appropriate groups.</li>\r\r\n<li>Prepares and delivers summary reports to the relevant or affected areas within the company. Helps to determine what actionable steps can be taken based on the findings.</li>\r\r\n<li>Communicates and trains users on model results.</li></ul>, <ul><li>Develops custom, explainable models that enhance business processes to reflect corporate goals, experience, and current market conditions using pattern recognition, evolutionary computation, and machine learning algorithms.</li></ul>, <p><b>ADDITIONAL RESPONSIBILITIES/TASKS FOR DATA SCIENTIST:</b></p>, <ul>\r\r\n<li>Further involvement in the implementation of predictive model results into the appropriate system.</li>\r\r\n<li>Additional communication to all affected departments. This includes the creation of appropriate documents (PowerPoint presentations, etc.) to be used in the communication of predictive model results to the company.</li>\r\r\n<li>Lead the deployment and maintenance of models with or without the assistance of the IT department.</li></ul>, <p>EMPLOYMENT QUALIFICATIONS:</p>, <p>\r\r\nEDUCATION:</p>, <p>\r\r\nBachelor's degree in insurance, math, economics, statistics, or computer science required. Advanced degree in statistics, actuarial science, or applied mathematics preferred. Continuous learning, as defined by the Company's learning philosophy, is required. Certification or progress toward certification is highly preferred and encouraged.</p>, <p><b>\r\r\nADDITIONAL EXPERIENCE FOR DATA SCIENTIST:</b></p>, <p>\r\r\n4-6 years of research, modeling or actuarial experience required. Workers compensation experience is preferred.</p>, <p>\r\r\nEXPERIENCE:</p>, <p>\r\r\nPREDICTIVE MODELER I:</p>, <p>\r\r\nWith proper education credentials, no experience is required; however, workers compensation, predictive modeling and actuarial experience are preferred.</p>, <p>\r\r\nSKILLS/KNOWLEDGE/ABILITIES (SKA) REQUIRED:</p>, <ul>\r\r\n<li>Excellent interpersonal, organizational and communication skills.</li>\r\r\n<li>Ability and proficiency in the use of computers and company standard software specific to position.General familiarity with the following software: SAS, R, SQL.</li>\r\r\n<li>Strong database management skills.</li>\r\r\n<li>Ability to provide direction to other department analysts.</li>\r\r\n<li>Ability to use independent judgment and initiative and to anticipate needs of executive and department, accomplishing tasks without direction.</li>\r\r\n<li>Ability to work effectively as a member of a team.</li>\r\r\n<li>Resourceful problem solving skills and desire to succeed.</li>\r\r\n<li>Knowledge of insurance and underwriting techniques, agency and policyholder needs.</li>\r\r\n<li>Ability to establish workflows, manages multiple projects, meet necessary deadlines, and work without supervision.</li>\r\r\n<li>Exercise sufficient discretion and independent judgment with a wide degree of creativity and latitude.</li>\r\r\n<li>Ability to apply the principles of independent logical thinking to define problems, collect data, establish facts, draw valid conclusions and make actionable strategic recommendations.</li>\r\r\n<li>Ability to manage responsibilities as unexpected pressures/dilemmas arise.</li>\r\r\n<li>Ability to comprehend consequences of various situations and make appropriate individuals aware of same for decision making.</li>\r\r\n<li>Ability to maintain confidentiality.</li></ul>, <p>WORKING CONDITIONS:</p>, <p>\r\r\nWork is performed in an office setting with no unusual hazards. Minimal travel may be required.</p>, <p><i>\r\r\nThe qualifications listed above are intended to represent the minimum education, experience, skills, knowledge and ability levels associated with performing the duties and responsibilities contained in this job description.\r\r\n</i></p>, <p><i>We are an Equal Opportunity Employer. Diversity is valued and we will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an "at will"" basis. Nothing herein is intended to create a contract.</i></p>]"
## 461 [<p>The main focus for this role is developing/monitoring models used in multivariate analysis, linear modeling and data mining. This would include developing and testing predictive risk models; interact, understand and articulate the complex mathematical and computational learning concepts (to appropriate staff).In addition, this position will be expected to understand the business goals (growth) and capital strength and make strategic recommendations to enhance business processes and reflect our strategic goals.</p>, <p>\r\r\nRESPONSIBILITIES/TASKS:</p>, <ul>\r\r\n<li>Responsibilities will be multi-disciplinary and will include:\r\r\n<ul><li>Provides technical and quantitative analysis for predictive modeling group.</li>\r\r\n<li>Assists in statistical data mining and actuarial research by applying advanced statistical concepts.</li>\r\r\n<li>Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages.</li>\r\r\n<li>Participates in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills.</li>\r\r\n<li>Conducts research utilizing predictive modeling.</li>\r\r\n<li>Interprets data and identifies correlations using both univariate and multivariate analysis.</li>\r\r\n<li>Participates in and is responsible for advanced projects.</li>\r\r\n<li>Presents findings and recommendations to appropriate groups.</li>\r\r\n<li>Prepares and delivers summary reports to the relevant or affected areas within the company. Helps to determine what actionable steps can be taken based on the findings.</li>\r\r\n<li>Communicates and trains users on model results.</li></ul>\r\r\n<ul><li>Develops custom, explainable models that enhance business processes to reflect corporate goals, experience, and current market conditions using pattern recognition, evolutionary computation, and machine learning algorithms.</li></ul></li>\r\r\n<li>Document model requirements.</li>\r\r\n<li>Examine and analyze data to determine optimal modeling approach.</li>\r\r\n<li>Identify candidate risk factors.</li>\r\r\n<li>Build models using training, test, and cross-validation data sets.</li>\r\r\n<li>Share model results.</li>\r\r\n<li>Finalize model.</li>\r\r\n<li>Delivers conclusions.</li>\r\r\n<li>Deploy and maintain models with or without the assistance of the IT department</li></ul>, <ul><li>Provides technical and quantitative analysis for predictive modeling group.</li>\r\r\n<li>Assists in statistical data mining and actuarial research by applying advanced statistical concepts.</li>\r\r\n<li>Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages.</li>\r\r\n<li>Participates in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills.</li>\r\r\n<li>Conducts research utilizing predictive modeling.</li>\r\r\n<li>Interprets data and identifies correlations using both univariate and multivariate analysis.</li>\r\r\n<li>Participates in and is responsible for advanced projects.</li>\r\r\n<li>Presents findings and recommendations to appropriate groups.</li>\r\r\n<li>Prepares and delivers summary reports to the relevant or affected areas within the company. Helps to determine what actionable steps can be taken based on the findings.</li>\r\r\n<li>Communicates and trains users on model results.</li></ul>, <ul><li>Develops custom, explainable models that enhance business processes to reflect corporate goals, experience, and current market conditions using pattern recognition, evolutionary computation, and machine learning algorithms.</li></ul>, <p><b>ADDITIONAL RESPONSIBILITIES/TASKS FOR DATA SCIENTIST:</b></p>, <ul>\r\r\n<li>Further involvement in the implementation of predictive model results into the appropriate system.</li>\r\r\n<li>Additional communication to all affected departments. This includes the creation of appropriate documents (PowerPoint presentations, etc.) to be used in the communication of predictive model results to the company.</li>\r\r\n<li>Lead the deployment and maintenance of models with or without the assistance of the IT department.</li></ul>, <p>EMPLOYMENT QUALIFICATIONS:</p>, <p>\r\r\nEDUCATION:</p>, <p>\r\r\nBachelor's degree in insurance, math, economics, statistics, or computer science required. Advanced degree in statistics, actuarial science, or applied mathematics preferred. Continuous learning, as defined by the Company's learning philosophy, is required. Certification or progress toward certification is highly preferred and encouraged.</p>, <p><b>\r\r\nADDITIONAL EXPERIENCE FOR DATA SCIENTIST:</b></p>, <p>\r\r\n4-6 years of research, modeling or actuarial experience required. Workers compensation experience is preferred.</p>, <p>\r\r\nEXPERIENCE:</p>, <p>\r\r\nPREDICTIVE MODELER I:</p>, <p>\r\r\nWith proper education credentials, no experience is required; however, workers compensation, predictive modeling and actuarial experience are preferred.</p>, <p>\r\r\nSKILLS/KNOWLEDGE/ABILITIES (SKA) REQUIRED:</p>, <ul>\r\r\n<li>Excellent interpersonal, organizational and communication skills.</li>\r\r\n<li>Ability and proficiency in the use of computers and company standard software specific to position.General familiarity with the following software: SAS, R, SQL.</li>\r\r\n<li>Strong database management skills.</li>\r\r\n<li>Ability to provide direction to other department analysts.</li>\r\r\n<li>Ability to use independent judgment and initiative and to anticipate needs of executive and department, accomplishing tasks without direction.</li>\r\r\n<li>Ability to work effectively as a member of a team.</li>\r\r\n<li>Resourceful problem solving skills and desire to succeed.</li>\r\r\n<li>Knowledge of insurance and underwriting techniques, agency and policyholder needs.</li>\r\r\n<li>Ability to establish workflows, manages multiple projects, meet necessary deadlines, and work without supervision.</li>\r\r\n<li>Exercise sufficient discretion and independent judgment with a wide degree of creativity and latitude.</li>\r\r\n<li>Ability to apply the principles of independent logical thinking to define problems, collect data, establish facts, draw valid conclusions and make actionable strategic recommendations.</li>\r\r\n<li>Ability to manage responsibilities as unexpected pressures/dilemmas arise.</li>\r\r\n<li>Ability to comprehend consequences of various situations and make appropriate individuals aware of same for decision making.</li>\r\r\n<li>Ability to maintain confidentiality.</li></ul>, <p>WORKING CONDITIONS:</p>, <p>\r\r\nWork is performed in an office setting with no unusual hazards. Minimal travel may be required.</p>, <p><i>\r\r\nThe qualifications listed above are intended to represent the minimum education, experience, skills, knowledge and ability levels associated with performing the duties and responsibilities contained in this job description.\r\r\n</i></p>, <p><i>We are an Equal Opportunity Employer. Diversity is valued and we will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an "at will"" basis. Nothing herein is intended to create a contract.</i></p>]"
## 462 [<p><b>Ericsson Overview:</b></p>, <p>\r\r\nEricsson is world’s leading provider of communications technology and services. Our offerings include services, consulting, software and infrastructure within Information and Communications Technology.</p>, <p>\r\r\nUsing innovation to empower people, business and society, Ericsson is working towards the Networked Society: a world connected in real time that will open up opportunities to create freedom, transform society and drive solutions to some of our planet’s greatest challenges.</p>, <p>\r\r\nWe are truly a global company, operating across borders in over 180 countries, offering a diverse, performance-driven culture and an innovative and engaging environment. As an Ericsson employee, you will have freedom to think big and the support to turn ideas into achievements. Continuous learning and growth opportunities allow you to acquire the knowledge and skills necessary to progress and reach your career goals. We invite you to join our team.</p>, <p>\r\r\nWe are seeking hire Data Scientists in our Plano, TX North American Headquarters.</p>, <p>\r\r\nYOU WILL:</p>, <ul><li>\r\r\nPartner with Ericsson’s machine intelligence team to prioritize and answer the most important questions where machine learning and AI breakthroughs will have material impact</li><li>\r\r\nUse your experience in analytics tools and scientific rigor to produce actionable insights. This includes working with petabytes of 4G/5G-netwroks, IoT and exogenous data, and proposing/selecting/testing predictive models, recommendation engines, anomaly detection systems, statistical model, deep learning, reinforcement learnings and other machine learning systems</li><li>\r\r\nCollaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models</li><li>\r\r\nMentor junior data scientists on technologies, methodologies and best-practices</li><li>\r\r\nDevelop methodologies, standards/best-practices and systems for reusable MI assets across Ericsson businesses</li><li>\r\r\nDevelop and nurture MI communities within Ericsson and its ecosystem in the areas of expertise</li><li>\r\r\nCollaborate with others on best way to document and present the findings and experiments of the data analysis, including benchmarking against (de-facto) industry standards and baselines, to the stakeholders</li><li>\r\r\nCollaborate with product development teams to industrialize the findings</li><li>\r\r\nCommunicate key results to senior management in verbal, visual, and written media</li><li>\r\r\nEngage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI’s needs</li><li>\r\r\nPresent and be prominent in MI related forums and conferences, e.g., presenting papers, organizing sessions and be a panelist<p>\r\r\nMINIMUM QUALIFICATION AND EXPERIENCE REQUIREMENTS</p></li></ul>, <p>\r\r\nMINIMUM QUALIFICATION AND EXPERIENCE REQUIREMENTS</p>, <ul><li>\r\r\nBS, MS, or PhD in Computer Science, Computer Engineering, Mathematics, Physics, Economics, or related field; Certifying MI MOOCS can be compliment</li><li>\r\r\nStrong knowledge in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration.</li><li>\r\r\nDemonstrated skills in Machine Learning, e.g., linear/logistics regression discriminant analysis, bagging, random forest, Bayesian model, SVM, neural networks, etc.</li><li>\r\r\nStrong Programming skills in various languages (C++, Scala, Java, R)</li><li>\r\r\nStrong skills in the use of current state of the art machine learning frameworks such as Scikit-Learn, H2O, Keras, TensorFlow, and Spark</li><li>\r\r\nAbility to clearly communicate complex results to technical and non-technical audiences</li><li>\r\r\nVersatility and willingness to learn new technologies on the job<p>\r\r\nPREFERRED QUALIFICATION AND EXPERIENCE REQUIREMENTS</p></li></ul>, <p>\r\r\nPREFERRED QUALIFICATION AND EXPERIENCE REQUIREMENTS</p>, <ul><li>\r\r\nFamiliarity with Linux/OS X command line, version control software (git), and general software development</li><li>\r\r\nExperience in programming or scripting to enable ETL development</li><li>\r\r\nFamiliarity with relational databases</li><li>\r\r\nPrevious industry experience or internships in product related analytics</li><li>\r\r\nIndependent research experience<br/>\r\r\n<p>\r\r\nTECHNOLOGIES WE USE AND TEACH:</p><br/>\r\r\n</li></ul>, <p>\r\r\nTECHNOLOGIES WE USE AND TEACH:</p>, <ul><li>\r\r\nR, Python</li><li>\r\r\nHive and other Bigdata family</li><li>\r\r\nStatistics (Frequentist/Bayesian methods, experimental design, causal inference)</li><li>\r\r\nShiny/D3/Tableau etc</li></ul>, <p>\r\r\n**LI-BF1</p>, <p>\r\r\nDISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Therefore employees assigned may be required to perform additional job tasks required by the manager.</p>, <p>\r\r\nWe are proud to be an EEO/AA employer M/F/Disabled/Veterans. We maintain a drug-free workplace and perform pre-employment substance abuse testing.</p>, <p>\r\r\nEricsson provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, protected veteran status, union membership or genetics information. Ericsson complies with applicable country, state and all local laws governing nondiscrimination in employment in every location across the world in which the company has facilities. In addition, Ericsson supports the UN Guiding Principles for Business and Human Rights and the United Nations Global Compact.</p>, <p>\r\r\nThis policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training and development.</p>, <p>\r\r\nEricsson expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, gender identity, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, protected veteran status, union membership or genetic information.</p>, <p>\r\r\nEricsson will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by Ericsson or (c) consistent with Ericsson’s legal duty to furnish information.</p>, <p>\r\r\nEmployee Polygraph Protection Act Notice - Employers are generally prohibited from requiring or requesting any employee or job applicant to take a lie detector test, and from discharging, disciplining, or discriminating against an employee or prospective employee for refusing to take a test or for exercising other rights under the Act. For more information, visit https://www.dol.gov/whd/regs/compliance/posters/eppac.pdf.</p>, <p>\r\r\nEricsson is an equal opportunity employer and is committed to providing reasonable accommodation for qualified disabled individuals during the application and hiring process. Ericsson will make modifications or adjustments to the job application or interview process that will enable a qualified applicant to be considered for a position. If you require an accommodation due to a disability, please contact Ericsson at hr.direct.dallas@ericsson.com or (866) 374-2272 (US) or (877) 338-9966 (Canada) for further assistance.</p>, <p>\r\r\nPrimary country and city: United States (US) || || Plano || Consulting&SysInt</p>]
## 463 [<ul><li>\r\r\nLead team in designing analytic solutions that meet customer needs</li><li>\r\r\nEnhance existing analytic solutions to ensure quality, and performance</li><li>\r\r\nSelect and implement appropriate measurements, and scoring metrics to evaluate performance of existing algorithms</li><li>\r\r\nSelect and implement industry machine learning algorithms to enhance or compete with existing algorithms</li><li>\r\r\nIntegrate Data from multiple sources to create a common operating picture</li><li>\r\r\nPresentations to internal and external customers</li><li>\r\r\nIdentifying and Implementing data visualization for analysis, presentation, and end-user UI needs</li><li>\r\r\nDuties will also include feature engineering, classifier optimization, event forecasting, and anomaly detection</li><li>\r\r\nData processing, cleansing, and validating both existing and incoming data</li></ul>, <ul><li>\r\r\nPython and good working knowledge of numpy, scikit-learn, pandas, scipy, matplotlib</li><li>\r\r\nExperience in applying machine learning techniques to time series and geospatial data</li><li>\r\r\nStrong statistical background in areas such as statistical testing, regression, and probability</li><li>\r\r\nGood interpersonal skills and communication with all levels of management</li><li>\r\r\nBachelors in Mathematics or related discipline with 6+ years of data science industry experience</li><li>\r\r\nAble to multitask, prioritize, and manage time efficiently</li><li>\r\r\nUS Citizenship and an active Public Trust clearance</li></ul>, <ul><li>\r\r\nAlgorithm performance scoring</li><li>\r\r\nData Visualization of multi-source, multi-dimensional data, and analytic results in both real-time and for presentations</li><li>\r\r\nMS in Computer Science, Physics, Mathematics, or other related discipline with 5+ years of industry experience of the data science field</li><li>\r\r\nFamiliarity with database / data file system such as PostgreSQL, Kudu, HDFS</li><li>\r\r\nStrong Google-Fu</li><li>\r\r\nExperience with time series event forecasting</li><li>\r\r\nWide breadth of machine learning algorithm experience and posses understanding of which problems those ML algorithms solve</li><li>\r\r\nUp-to-date on latest industry trends; able to articulate trends and potential clearly and confidently</li></ul>]
## 464 [<p>Req. ID: 121953</p>, <p>\r\r\nAs a Data Scientist at Micron you will:</p>, <ul><li>\r\r\nWork within a Data Science Team on leading edge projects</li><li>\r\r\nDevelop and codes software programs, algorithms, typically on very large datasets, from multiple sources- including Time-Series Data from IoT Devices</li><li>\r\r\nDevelop new solutions using Deep Neural Networks on the latest frameworks, on GPUs</li><li>\r\r\nProvide Visualization Solutions for complex data sets, including dimensionality reduction when needed.</li><li>\r\r\nAssists in the design of user interface and business application prototypes.</li><li>\r\r\nInteracts with product and service teams to identify questions and issues for data analysis and experiments.</li><li>\r\r\nInterprets actionable insights from large data and metadata sources and communicates the findings to product, service, and business managers for product enhancement.</li></ul>, <p><b>\r\r\nRequirements:</b></p>, <ul><li>\r\r\nMust have an MS plus 2 years relevant work experience, or BS + 7 Years relevant work experience.</li><li>\r\r\nExperience working with structured, semi-structured, and un-structured data sources.</li><li>\r\r\nSolid Experience with Deep Neural Networks. CNNs, LSTMs, RNNs, RCNNS,</li><li>\r\r\nThe ability to problem solve and provide complex solutions with limited direction.</li><li>\r\r\nStrong experience with design, development, and implementation of complex architecture.</li><li>\r\r\nSome experience with web front end development: HTML/CSS, JavaScript (JQuery or Angular preferred).</li><li>\r\r\nHands-on experience with various machine learning methods.</li><li>\r\r\nExcellent communication and leadership skills.</li><li>\r\r\nDemonstrated capability in Python, Java, and at least one other programming language.</li><li>\r\r\nAbility to learn quickly and become productive on new technologies, APIs, development languages, and frameworks.</li><li>\r\r\nSome working knowledge of Hadoop Environment, including: Hive, Map Reduce, No/SQL, HBase, and Spark.</li></ul>, <p><b>\r\r\nEducation:</b></p>, <p>\r\r\nBachelor’s Degree or Master’s Degree in: Computer Science, Science, Engineering, Information Science; or a related field</p>, <p><b><i>\r\r\nDesired Skills:</i></b></p>, <ul><li>\r\r\nSimulations</li><li>\r\r\nOptimization</li><li>\r\r\nSignal analysis methods.</li><li>\r\r\nComplex data visualization techniques.</li><li>\r\r\nImage analytics with OpenCV or equivalent.</li><li>\r\r\nProficiency in R Language.</li><li>\r\r\nCuda</li></ul>, <p><br/>\r\r\nWe recruit, hire, train, promote, discipline and provide other conditions of employment without regard to a person's race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity and expression, pregnancy, veteran’s status, or other classifications protected under law. This includes providing reasonable accommodation for team members' disabilities or religious beliefs and practices.</p>, <p><br/>\r\r\nEach manager, supervisor and team member is responsible for carrying out this policy. The EEO Administrator in Human Resources is responsible for administration of this policy. The administrator will monitor compliance and is available to answer any questions on EEO matters.</p>, <p><br/>\r\r\nTo request assistance with the application process, please contact Micron’s Human Resources Department at 1-800-336-8918 (or 208-368-4748).</p>, <p><br/>\r\r\nKeywords: Manassas || Virginia (US-VA) || United States (US) || Frontend Manufacturing || College || Regular || Engineering || #LI-AW1 ||</p>]
## 465 [<ul>\r\r\n<li>You will be tasked with being a steward of the company data and will provide novel strategies and ideas for leveraging new data sources, development of custom analytics to uncover valuable opportunities and insights, and spearhead rapid prototyping</li>\r\r\n<li>You will approach problems from multiple angles and will develop and test complex models to enhance, track, and drive client sales</li>\r\r\n<li>While a technical skills set in R, Python, and Machine Learning are key to this role, a strong business acumen for e-commerce search optimization, price elasticity, and the psychology of sales and demand is equally required.</li>\r\r\n<li>You will also be a thought leader in the organization as they branch into new e-commerce spaces, and new ways to approach data monetization</li>\r\r\n<li>Understand all of the operational and business aspects and data streams of Viral Launch</li>\r\r\n<li>Utilize Machine Learning applications to enhance proprietary marketing and analytics software services in an Agile environment</li>\r\r\n<li>Maintain and update business intelligence systems that are in place</li>\r\r\n<li>Constantly research new information in the industry and drive the creation, prototyping, and iteration of novel business analytics advancements.</li>\r\r\n</ul>, <ul>\r\r\n<li>Graduate degree in Computer Science, Engineering, Business Information Systems, Mathematics, Statistics, Data Science or related field, MBA is a plus</li>\r\r\n<li>Proven track record of delivering highly-scalable and reliable data science solutions through multiple cycles</li>\r\r\n<li>Strong ability to communicate insights and analysis via appropriate visualization tools, methods and techniques</li>\r\r\n<li>Excellent information management skills (architecture, design, development and support) in ETL, Database, EDW, Reporting & Big Data is a must</li>\r\r\n<li>Strong experience on at least 2-3 different technology stacks in each of the ETL, DW, Reporting & Big Data space</li>\r\r\n<li>Excellent written and oral communication skills, particularly the ability to synthesize complex issues/scenarios into easy-to-understand concepts and “storytelling”</li>\r\r\n<li>Attention to detail with self-discipline, strong ownership and accountability and drive for results</li>\r\r\n<li>Demonstrated ability to work in ambiguous situations and have influence across organizational boundaries</li>\r\r\n<li>eCommerce business-related experience a plus, will also consider academic projects/internships related to eCommerce</li>\r\r\n</ul>, <ul>\r\r\n<li>Medical/Dental/Vision/Life Benefits</li>\r\r\n<li>SIMPLE IRA with company match</li>\r\r\n<li>Potential to earn equity (not guaranteed)</li>\r\r\n<li>Flexible schedules and Unlimited PTO</li>\r\r\n</ul>]
## 466 [<p><b>Cures Start Here. </b>At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. <b>Careers Start Here.</b></p>, <p>\r\r\nThe Hutch Data Commonwealth (HDC) represents a new organization within the Fred Hutchinson Cancer Research Center with a mission to develop new capabilities and resources to facilitate the center’s interaction with large and complex data sets. HDC data scientists partner with center investigators in research leveraging high-dimensional data to drive requirements into the HDC product team where data and software engineers are responsible for developing and supporting robust data management and analysis platforms and tools.</p>, <p>\r\r\nThe<b> Data Scientist</b> provides collaborative and innovative analytic support across all divisions of the center, leveraging big data to support and empower center investigators. The Data Scientist will be responsible for construction of analytic datasets sourcing elements from potentially diverse data sources, implementation of exploratory and predictive analyses, visualization of data, communication and presentation of results, and putting these solutions into production.</p>, <ul><li>Identify and integrate disparate data sources, both internal and external, structured and unstructured clinical or research data from Consortium partners or external collaborators, as well as from publicly-available databases.</li><li>\r\r\nDevelop and deploy machine learning algorithms, predictive models, and classification methods to advance cancer research and inform clinical decision making.</li><li>\r\r\nDeliver novel, data-driven insights to improve outcomes in the treatment of cancer.</li><li>\r\r\nIdentify areas of growth for the HDC data science team and actively partner with Data Scientists across Fred Hutch</li><li>\r\r\nCollaborate with researchers and clinicians to identify high-impact opportunities for data science applications.</li><li>\r\r\nManage data science projects from creation to completion.</li><li>\r\r\nCommunicate results to technical and non-technical audiences.</li></ul>, <ul><li>\r\r\nA Bachelor’s degree or higher in computer science, data science, statistics, informatics, or equivalent.</li><li>\r\r\nCore competency in at least one of the following: deep learning, statistics, genomics, natural language, image processing, medical records or claims.</li><li>\r\r\nProficiency in Python.</li><li>\r\r\nKnowledge of statistical analysis, machine learning, and predictive modeling.</li><li>\r\r\nAwareness of a variety of data formats and markup languages (e.g., csv, JSON, XML).</li><li>\r\r\nGeneral experience with the following:<ul><li>\r\r\nCommon data storage mediums (e.g., SQL, Excel)</li><li>\r\r\nUnix/Linux.</li></ul></li><li>\r\r\nVersion control (e.g. git).</li><li>\r\r\nProven ability to collaborate with various levels of internal and external partners, being able to work independently, with heavy multi-tasking.</li><li>\r\r\nExcellent interpersonal skills and professional diplomacy.</li><li>\r\r\nExcellent verbal and written communication skills.</li></ul>, <ul><li>\r\r\nCommon data storage mediums (e.g., SQL, Excel)</li><li>\r\r\nUnix/Linux.</li></ul>, <ul><li>A strong desire to explore, investigate, dig, and generally uncover patterns and puzzles in data while maintaining a strong sense of thoughtful and pragmatic solutions.</li><li>\r\r\nAbility to advise investigators and management in clear language about results and new directions; strong oral and written communication and critical thinking skills are a must for this position.</li><li>\r\r\nAbility not only to work autonomously, but also to work collaboratively within multidisciplinary teams including statisticians, computational biologists, data engineers, epidemiologists, clinicians, administrators, etc.</li></ul>, <ul><li>Experience with messy, “real life” data sets. Experience with NoSQL models and big data platforms (e.g., MongoDB, Hadoop, Hive).</li><li>\r\r\nExperience with API’s and container environments (e.g., Flask, Docker, Kubernetes).</li><li>\r\r\nExperience with application development, user design, and visualization tools (e.g., JavaScript, HTML5, D3, Shiny).</li><li>\r\r\nExperience architecting, implementing, and tuning deep learning models.</li><li>\r\r\nExperience with R and statistical computing.</li></ul>]
## 467 [<p><b>Your Role:</b><b> </b>This individual will play key roles in our bioinformatics tool/platform development to support R&D, marketing and company business. Work independently and collaboratively with members of bioinformatics, R&D and marketing to develop bioinformatics/chemoinformatics tools/pipelines/platforms; Data analysis on high-dimensional data sets from a wide range of sources to provide solutions to research and business; Develop new computational methods and algorithms to support new product and technology development related to metabolomics, genomics and chemoinformatics.</p>, <ul><li>Bachelor's degree in bioinformatics, computational biology or CS with biology/chemistry knowledge. Master's or PhD degree preferred.</li>\r\r\n<li>Strong background in Bioinformatics, Genomics and/or Proteomics.</li>\r\r\n<li>Experience in software application development with strong programming skills.</li>\r\r\n<li>Experience with machine learning.</li>\r\r\n<li>Proficiency in scripting language (eg perl or python) and java is required, knowledge in javaEE, PHP and R is a plus.</li>\r\r\n<li>Experience in SQL and noSQL is a plus</li>\r\r\n<li>Experience with jquery, javascript is a plus</li></ul>]
## 468 [<p><b>What do we need?</b></p>, <ul><li>\r\r\nYou to have an amazing personality and communication style.</li><li>\r\r\nThat you are super-organized and are a problem solver.</li><li>\r\r\nThat you take pride in everything that you do, and it shows.</li><li>\r\r\nAnd most importantly that you have unquestionable integrity.</li></ul>, <p><br/>\r\r\n<b>\r\r\nWhy work for us?</b></p>, <ul><li>\r\r\nWe invest in our employees, and offer extensive training, and development programs to set you up for future success.</li></ul>, <p><br/>\r\r\nIf we sound like a fit, and you’re ready to start an exciting career with an organization that fosters employee growth, apply today!<br/>\r\r\n<br/>\r\r\n<b>Job Description</b><br/>\r\r\nThis position will be responsible for:</p>, <ul><li>\r\r\nDevelop marketing, credit risk models and segmentations</li><li>\r\r\nPerform all required tests and measures of developed models</li><li>\r\r\nDeliver comprehensive model documentation (e.g., Model Development Document, Technical Specification Document) of modeling projects</li><li>\r\r\nUnderstand and follow modeling procedures, credit policies, and deliver technical/regulatory documentation for internal/external reviews</li><li>\r\r\nCommunicate technical information verbally and in writing to both technical and non-technical audiences</li></ul>, <p><b>Education</b></p>, <ul><li>\r\r\nAdvanced Degree (Masters or PhD preferred) in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, Quantitative Finance. MBAs should apply only if they are interested in career in specialized quantitative risk management discipline</li></ul>, <p><br/>\r\r\n<b>\r\r\nExperience\r\r\n</b></p>, <ul><li>Min of 2 years of experience in advanced credit risk modeling</li></ul>, <p><br/>\r\r\n<b>\r\r\nSkills</b></p>, <ul><li>\r\r\nVery strong knowledge of statistics methods and machine learning techniques</li><li>\r\r\nStrong numerical programming ability using a range of languages (SAS, R, Python); working experience with SQL</li><li>\r\r\nHigh quality written communication including results of research and presentations for technical and non-technical audiences</li><li>\r\r\nExperience of developing and applying statistical models within credit risk and/or marketing domain</li><li>\r\r\nDetail-oriented with high degree of accuracy</li><li>\r\r\nStrong analytical, problem-solving and critical-thinking skills</li><li>\r\r\nExcellent verbal and written communication skills</li></ul>, <p><b>Benefits</b></p>, <ul><li>\r\r\nMedical / Dental/ Vision benefits available after 30 days of employment</li><li>\r\r\nCompany paid life insurance</li><li>\r\r\nPaid holidays</li><li>\r\r\nPTO/ 401K / Tuition Reimbursement</li></ul>, <p><br/>\r\r\nAll your information will be kept confidential according to EEO guidelines.</p>]
## 469 [<p>We’re looking for an Associate Data Scientist in our growing Enterprise Analytics area to develop new data science products using machine learning, natural language processing, data visualization techniques, and other forms of advanced analytics.</p>, <p>\r\r\nThe Enterprise Analytics team is also a Center of Excellence for data science at Blue Cross and Blue Shield of Illinois, New Mexico, Montana, Oklahoma & Texas. This person will spend approximately a quarter of their time designing and promoting best practices in data science across the enterprise, leading and organizing technical training for the broader community, and promoting a data-driven culture.<br/>\r\r\nAt the largest customer-owned and not-for-profit health insurer and fourth largest health insurer overall in the United States, you will have the opportunity to work with massive datasets to drive revenue growth, improve our operational and member-facing processes, and affect how healthcare is delivered to our 15 million members.</p>, <p>\r\r\nAn ideal candidate would be someone who has a track record of technical leadership and successful delivery of analytical products or projects, loves working with data, demonstrates a continuous learning and growth mindset, possesses an interest in the intersection of healthcare and technology, and has an ability to communicate complex technical concepts to non-technical audiences.</p>, <ul><li>Bachelor's degree and 1 year of work experience in an advanced mathematical, statistical, engineering, physics or related quantitative field; OR Actuarial credential or Master's degree in an advanced mathematical, statistical, engineering, physics or related quantitative field without experience; OR 6 years experience in an advanced mathematical, statistical, engineering, physics or related quantitative field.</li><li>Learning and growth mindset.</li><li>Customer-focused.</li><li>Interpersonal, verbal and written communication skills.</li><li>Experience in at least three of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.</li><li>Microsoft applications including Access, Excel, Word and Power Point.</li></ul>, <ul><li>Masters or Ph.D. in a quantitative field, or bachelors degree with significant healthcare experience.</li><li>Experience with Python and R.</li></ul>, <p>HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants. We are an Equal Opportunity Employment / Affirmative Action employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Drug screening and background investigation are required, as allowed by law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.\r\r\n</p>, <p>HCSC is committed to diversity in the workplace and to providing equal opportunity and affirmative action to employees and applicants.\r\r\n</p>, <p>If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can email us <b>here</b> to request reasonable accommodations.\r\r\n</p>, <p>Please note that only <b>requests for accommodations in the application process</b> will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to "my account"" and click on ""View your job submissions"".</p>]"
## 470
## 471 [<p>At Google, data drives all of our decision-making. Data Scientists work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical rigor and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As a Data Scientist, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.<br/>\r\r\n<br/>\r\r\nAs a key member of the team, you work with engineers to analyze and interpret data, develop metrics to measure results and integrate new methodologies into existing systems.</p>, <p>Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.</p>, <ul><li>Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed; Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables and presentations.</li>\r\r\n<li>Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and sales activity.</li>\r\r\n<li>Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities, design and assess improvements to Google products.</li>\r\r\n<li>Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.</li>\r\r\n<li>Research and develop analysis, forecasting and optimization methods to improve the quality of Google's user facing products; example application areas include ads quality, search quality, end-user behavioral modeling and live experiments.</li>\r\r\n</ul>, <ul>\r\r\n<li>PhD degree in a quantitative discipline (e.g. statistics, bioinformatics, computational biology, computer science, applied mathematics, or similar) or equivalent practical experience.</li>\r\r\n<li>Relevant internship or work experience with data analysis.</li>\r\r\n<li>Experience with statistical software (R, S-Plus, SAS, or similar).</li>\r\r\n<li>Experience with databases and scripting languages (such as Python).</li>\r\r\n</ul>, <ul>\r\r\n<li>Authorization to legally work in the United States.</li>\r\r\n<li>1 year of relevant work experience (i.e., data scientist role), including deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.</li>\r\r\n<li>Ability to draw conclusions from data and recommend actions.</li>\r\r\n<li>Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques.</li>\r\r\n</ul>]
## 472 [<p>\r\r\nElectronic Arts Inc. is a leading global interactive entertainment software company. EA delivers games, content and online services for Internet-connected consoles, personal computers, mobile phones and tablets.</p>, <p>\r\r\nData Scientist, EA Customer Experience</p>, <p>#WeAreEA and we exist to inspire the world to play. EA values creativity, pioneering, passion, determination, learning, and teamwork. We mean things like acting with curiosity, speaking up with original ideas, and committing to each other as one team.</p>, <p>\r\r\nWe’re looking for all the best kinds of people to make great experiences for our players. The best people want a job that inspires them, while giving them room to enjoy their lives. And we want to give them that. We celebrate diversity and inclusion by creating a place where you can come to work and be yourself.</p>, <p>\r\r\nYou’re a Data Scientist.<br/>\r\r\n</p>, <p>You know how to pull all types of data from any source, be it Facebook posts, call center chats, video likes or survey results. You understand that you have 2 basic jobs:</p>, <p>\r\r\nHelp our studios understand what problems players have with their games and provide insights that help optimize our call center. Both pursue the ultimate goal of providing the World’s Best Service for the World’s Best Games.</p>, <p>\r\r\nYou use all resources available to you to help solve a problem, be it a new algorithm, programming language or the person sitting next to you.</p>, <p>\r\r\nYou’re a programmer/statistician/NLP expert who is fanatic about games and Customer Experiences.</p>, <p>\r\r\nYou’re also a genuinely nice person who brings positive energy to an office. You’re approachable and take the time to listen so that you understand someone else’s view.</p>, <p>\r\r\nThis role is part of EA’s Customer Experience organization. The Customer Experience organization strives to make EA known for taking care of its players. We’re players taking care of players and people talking to people – whenever, wherever, and however they need us.</p>, <p>\r\r\nWe’re the Data Science team, part of the larger Customer Experience Insights team.</p>, <p>We are surrounded by Production, BI, SEO and Market Research analysts. We’re the people who use advanced statistics and modeling to help solve business problems. We surface player problems through our text analytics offerings. We write a lot of code and talk to stakeholders from all teams and all levels. We are great team mates and trusted advisors, who provide insights to facilitate decisions and create models that change experiences.</p>, <p>\r\r\nA typical day in the life of a Data Scientist:</p>, <ul><li>Come into the office and catch up with your team mates about last night’s gaming session or the hottest show on TV (no spoilers until 24hrs have passed – after that: anything is fair game!)</li><li>\r\r\nCheck on last night’s Jenkins script and add some code to a project you’re working on</li><li>\r\r\nTalk to one of your coworkers on the Call Center side about how to match the right advisor to the right player – this could be your next big project</li><li>\r\r\nTake some time back at your desk to write up any notes and make a project plan proposal</li><li>\r\r\nAttend a JIRA prioritization meeting to update work that’s in flight and plan for work to come</li><li>\r\r\nGrab coffee and read up on any stats blogs or tech news you’re subscribed to</li><li>\r\r\nCheck out the model you deployed into production last month to see if it’s time to re-train</li><li>\r\r\nPull the latest changes on an NLP model you’re collaborating on from Stash and tinker with the parameters, then chat with your peer about the results of the tweaks and make plans for what to change next</li><li>\r\r\nSpend a couple of hours heads down/headphones on getting series with an analysis.</li><li>\r\r\nFinish the day looking over any code you wrote today, knit any Markdowns and make sure your documentation is up to snuff.</li></ul>, <p>So how do Data Scientists make great experiences for players? They:</p>, <ul><li>\r\r\nTell stories with data and interpret results for their stakeholders</li><li>\r\r\nPrioritize problems to solve based on the impact to the player experience while keeping overall organizational goals in mind</li><li>\r\r\nHave a basic understanding of EA’s games and find time to play whenever they can</li><li>\r\r\nDisplay confidence in communicating with senior management, or any audience, to ensure what they say is heard and understood</li><li>\r\r\nIdentify and lead collaborative efforts both inside and outside of their team; working with key influencers to effect change</li><li>\r\r\nTailor communications to their audience, providing either in-depth expertise or a high-level summary depending on the situation</li><li>\r\r\nUse models and techniques that win on performance and understandability vs. sophistication</li></ul>, <p>You’ll need to be awesome at wearing these hats:</p>, <p><i>\r\r\nCustomer Advocate</i> – You care what kind of experience our players are having when their games or services don’t work and you want to be an active participant in improving it</p>, <p><i>\r\r\nProgrammer</i> – You’re an expert at writing functions and identifying the right language for the right situation</p>, <p><i>\r\r\nPeople Analyst</i> – You understand that your work contributes to improving people’s lives not predict when a machine is going to break down</p>, <p><i>\r\r\nLearner</i> – You are a regular on Stack Overflow, know how to take apart a Vignette and are always looking for a new project that allows you to put that cutting edge technique to good use you read about last month</p>, <p><i>\r\r\nDocumentation Expert</i> – you know just the right level of documentation to help yourself and the next person understand what you did, when and why</p>, <p><i>\r\r\nTeacher</i> – you’re patient and can field questions from the rest of the team around better coding practices</p>, <p><i>\r\r\nExperiment Designer</i> – You can create up an A/B test in your sleep, but you don’t let a less than ideal A/B test set up stop you from finding some answers</p>, <p><i>\r\r\nNLP fanatic</i> – you can turn language into math??? Yeah – that’s the stuff you love!</p>, <p>\r\r\nA few last things about how we work, because they’re super important:</p>, <ul><li>We chat to each other in Slack</li><li>\r\r\nWe email each other about things that can wait or are just FYI</li><li>\r\r\nWe store all our code on Stash, how-to’s on Confluence and complete analyses on the Knowledge Repo</li><li>\r\r\nWe document our code like we’re going to win the lottery tomorrow and somebody else has to take over</li><li>\r\r\nWe plan and track our work in JIRA so we can avoid duplication with other teams</li><li>\r\r\nWe collaborate with Data Science at HQ to share best practices and exchange findings</li></ul>, <p>If you’re interested in this role, you’ll need these skills or experiences:</p>, <ul><li>3 to 5 years’ experience in Data Science with focus on NLP</li><li>\r\r\nMaster’s in Computer Science, Statistics, Operations Research or related field (we will consider a Bachelor’s degree with significant relevant experience)</li><li>\r\r\nExpert in at least one Statistical Programming Language such as R or Python</li><li>\r\r\nExperience with relational and distributed databases</li><li>\r\r\nExperience with any of the following is a big plus: PySpark, Scala, Zepplin Notebooks, Spark and MLlib as well as application development using AWS, Virtual Machines, or Docker</li><li>\r\r\nGaming industry and customer support experience a plus</li></ul>, <p>What’s in it for you? Glad you asked!\r\r\n</p>, <p>We love to brag about our great perks like comprehensive health and benefit packages, tuition reimbursement, 401k company match and, of course, many other perks! And since we realize it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off of creativity and individuality. At EA, we live the “work hard/play hard” credo every day. More about our location:</p>, <p>\r\r\nhttps://www.ea.com/careers/careers-overview/austin\r\r\n </p>, <p>#LI-TA1</p>]
## 473 [<p><b>Requisition ID: </b>191683<br/>\r\r\n<b>Work Area: </b>Software-Design and Development<br/>\r\r\n<b>Expected Travel: </b>0%<br/>\r\r\n<b>Career Status: </b>Professional<br/>\r\r\n<b>Employment Type: </b>Regular Full Time<br/>\r\r\n<b>Original Posting Date: July 31, 2018</b></p>, <p><b>\r\r\nCOMPANY DESCRIPTION</b></p>, <p>\r\r\nSAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.<br/>\r\r\nSAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives.</p>, <p><b>\r\r\nLocation:</b> Palo Alto, CA</p>, <p><b>\r\r\nPurpose and Objective:</b> SAP Labs, LLC seeks a Data Scientist at our Palo Alto, CA office location to work in customer projects execute the mathematical modeling of our customers' business problems, develop algorithms, data mining flows and applications to solve these problems, and help our customers directly to understand and implement the results of the analysis.</p>, <p><b>\r\r\nExpectations and Tasks:</b> Work directly with industry experts and technology experts to translate our customers' business needs into mathematical models and present and deliver a solution to the client. Work in development integrate or implement data mining/ mathematical methods into products. Responsible for evaluating and testing data mining methods and maintain a high level of quality. Work closely with the senior data scientist to prototype new innovations and eventually get them into the product. Contribute to data definitions, data storage infrastructure for data mining purposes and to Data Mining architectures. Resolve data mining performance issues and monitors data mining system performance and implement efficiency improvements. Implement data mining algorithms if required. Work closely with product management, application developers, information developers and end users. Work in research projects perform functional and empirical analysis on data mining topics. Conduct research on data mining tools and algorithms, implement prototypes and data mining algorithms and validates them on real data. Contribute to best practices for data mining topics and collaborates with development, universities and research institutes.</p>, <p><b>\r\r\nEducation and Qualifications/Skills and Competencies:</b> Bachelor's degree in Computer Science, Information Management, Data Science, Analytics or related field of study and 5 years of experience required. The company will also accept a Master's degree and 2 years of experience.</p>, <p><b>\r\r\nWork Experience:</b> Experience must involve two years in the following: Develop state-of-the-art enterprise solutions leverage learning and machine learning; Data-driven, full-stack software product engineering; Develop machine learning models at an enterprise scale; Translate recent progress in research and academia in the area of Machine Learning into enterprise software solutions; Data mining and feature engineering for customer data; Optimization of business processes and decisions by leveraging machine learning. Development of big data visualizations; Backend and frontend integration of cloud software solutions.</p>, <p><b>\r\r\nTravel:</b> 0%</p>, <p><b>\r\r\nWHAT YOU GET FROM US</b><br/>\r\r\nSuccess is what you make it. At SAP, we help you make it your own.<br/>\r\r\nA career at SAP can open many doors for you. If you’re searching for a company that’s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment – apply now.</p>, <p><b>\r\r\nSAP'S DIVERSITY COMMITMENT</b><br/>\r\r\nTo harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.</p>, <p>\r\r\nSAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team. (Americas:Careers.NorthAmerica@sap.com or Careers.LatinAmerica@sap.com, APJ: Careers.APJ@sap.com, EMEA: Careers@sap.com). Requests for reasonable accommodation will be considered on a case-by-case basis. Successful candidates might be required to undergo a background verification with an external vendor.</p>, <p><b>\r\r\nEOE AA M/F/Vet/Disability:</b><br/>\r\r\nQualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.</p>, <p>\r\r\nSuccessful candidates might be required to undergo a background verification with an external vendor.<br/>\r\r\n<b>Additional Locations:</b></p>]
## 474 [<p>Req. ID: 121908</p>, <p>\r\r\nAs a Data Scientist at Micron you will:</p>, <ul><li>\r\r\nWork within a Data Science Team on leading edge projects.</li><li>\r\r\nDevelop and codes software programs, algorithms, typically on very large datasets, from multiple sources.</li><li>\r\r\nDevelop new solutions using Deep Neural Networks on the latest frameworks, on GPUs</li><li>\r\r\nProvide Visualization Solutions for complex data sets, including dimensionality reduction when needed.</li><li>\r\r\nAssists in the design of user interface and business application prototypes.</li><li>\r\r\nInteracts with product and service teams to identify questions and issues for data analysis and experiments.</li><li>\r\r\nInterprets actionable insights from large data and metadata sources and communicates the findings to product, service, and business managers for product enhancement.</li></ul>, <p><b>\r\r\nRequirements:</b></p>, <ul><li>\r\r\nMust have an MS plus 2 years relevant work experience, or BS + 7 Years relevant work experience.</li><li>\r\r\nExperience working with structured, semi-structured, and un-structured data sources.</li><li>\r\r\nSolid Experience with Deep Neural Networks. CNNs, LSTMs, RNNs, RCNNS,</li><li>\r\r\nThe ability to problem solve and provide complex solutions with limited direction.</li><li>\r\r\nStrong experience with design, development, and implementation of complex architecture.</li><li>\r\r\nSome experience with web front end development: HTML/CSS, JavaScript (JQuery or Angular preferred).</li><li>\r\r\nHands-on experience with various machine learning methods.</li><li>\r\r\nExcellent communication and leadership skills.</li><li>\r\r\nDemonstrated capability in Python, Java, and at least one other programming language.</li><li>\r\r\nAbility to learn quickly and become productive on new technologies, APIs, development languages, and frameworks.</li><li>\r\r\nSome working knowledge of Hadoop Environment, including: Hive, Map Reduce, No/SQL, HBase, and Spark.</li></ul>, <p><b>\r\r\nEducation:</b></p>, <p>\r\r\nBachelor’s Degree or Master’s Degree in: Computer Science, Science, Engineering, Information Science; or a related field</p>, <p><b><i>\r\r\nDesired Skills:</i></b></p>, <ul><li>\r\r\nSimulations</li><li>\r\r\nOptimization</li><li>\r\r\nSignal analysis methods.</li><li>\r\r\nComplex data visualization techniques.</li><li>\r\r\nImage analytics with OpenCV or equivalent.</li><li>\r\r\nProficiency in R Language.</li><li>\r\r\nCuda</li></ul>, <p><br/>\r\r\nWe recruit, hire, train, promote, discipline and provide other conditions of employment without regard to a person's race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity and expression, pregnancy, veteran’s status, or other classifications protected under law. This includes providing reasonable accommodation for team members' disabilities or religious beliefs and practices.</p>, <p><br/>\r\r\nEach manager, supervisor and team member is responsible for carrying out this policy. The EEO Administrator in Human Resources is responsible for administration of this policy. The administrator will monitor compliance and is available to answer any questions on EEO matters.</p>, <p><br/>\r\r\nTo request assistance with the application process, please contact Micron’s Human Resources Department at 1-800-336-8918 (or 208-368-4748).</p>, <p><br/>\r\r\nKeywords: Manassas || Virginia (US-VA) || United States (US) || Frontend Manufacturing || College || Regular || Engineering || #LI-AW1 ||</p>]
## 475 [<ul><li>Serve as a key member of development teams helping to ensure customer success on the AI platform. Participate in feature and project discussions by understanding customer needs and developing technical solutions to meet those needs. Provide updates to development team and work with others to ensure product releases are stable, tested, and meet all customer and architectural requirements.\r\r\n</li><li>Aid in developing solutions leveraging AI services, working closely with our customers to deeply understand their business needs and to design a technical solution that takes best advantage of a centralized, best-in-class AI service\r\r\n</li><li>Propose AI solutions through mechanisms like proof-of-concepts or prototypes\r\r\n</li><li>Participate and contribute to an AI internal community of Subject Matter Experts.\r\r\n</li><li>Understand and follow best practices and insights for the use of AI services for customer solutions.\r\r\n</li><li>The candidate will possess both technical and customer-facing skills that will allow them to understand product needs and communicate proposed technical solutions. He or she will be able interact and give advice and opinions to technical experts, software developers, IT pros, and architects. The ideal candidate will also have an ability to think strategically about business, product, and technical challenges.<br/>\r\r\n</li></ul>, <ul><li><div>New Graduate with MS in Statistics, Machine Learning, or a Data Science related field\r\r\n</div></li><li><div>Data Science and NLP skills\r\r\n</div></li><li><div>Formal training in dimensionality reduction, clustering, and sequence classification algorithms\r\r\n</div></li><li><div>Some practical training in Machine Learning package ScikitLearn\r\r\n</div></li><li><div>Some practical training in NLP methods such as OpenNLP, StanfordNLP, Mallet, LDA, word2ve\r\r\n</div></li></ul>, <ul><li>Recent coding experience using Python AND/OR (Java OR Scala)</li></ul>]
## 476 [<ul>\r\r\n<li>3+ years of experience working in a professional environment</li>\r\r\n<li>Experience with machine learning algorithms</li>\r\r\n<li>Experience with a variety of analytic tools, including Python, R, Tableau, SAS, Spotfire</li>\r\r\n<li>Ability to manipulate, integrate, and analyze large and complex data sets using SQL and NoSQL database platforms</li>\r\r\n<li>Ability to provide non-technical users with data-driven tools for implementing machine learning into workflows, as needed</li>\r\r\n<li>Ability to obtain a security clearance</li>\r\r\n<li>BA or BS degree</li>\r\r\n</ul>, <ul>\r\r\n<li>Experience with financial and healthcare claims data a plus</li>\r\r\n<li>Experience with developing data analytic solutions to predict and detect fraud</li>\r\r\n<li>Experience with developing analytic solutions on Cloud platforms</li>\r\r\n<li>Experience with developing machine learning, deep learning, or natural language, including processing unstructured text data</li>\r\r\n<li>Experience with leading technical project teams</li>\r\r\n<li>MA or MS degree</li>\r\r\n</ul>]
## 477 [<ul><li>Using data to deeply understand user needs</li><li>\r\r\nBuilding, improving and maintaining our analytics infrastructure to help continuously inform business decisions</li><li>\r\r\nBuilding and improving industry-leading home valuation models and methodologies using millions of real-estate transactions and complementary data sets</li><li>\r\r\nIdentifying, researching, and analyzing new data sources</li><li>\r\r\nCollaborating with Software Engineers, Product Managers, and Product Designers</li><li>\r\r\nMaintaining development best practices, including test coverage, continuous integration, A/B testing, and documentation</li><li>\r\r\nBecoming a domain expert in real-estate</li></ul>, <ul><li>\r\r\nStrong Python programming skills, including experience with NumPy, SciPy, Pandas, and scikit-learn\r\r\n</li><li>A demonstrated track record of writing production-ready code and the ability to contribute to the development of Amne's back-end data services</li><li>\r\r\nAn aptitude for transforming business problems and objectives into data-driven solutions</li><li>\r\r\nWell-developed communication skills and the expertise to relate data-driven insights through visualizations and written documentation</li><li>\r\r\nA strong background in statistics and mathematics</li><li>\r\r\nAn understanding and ability to implement common supervised and unsupervised learning methods</li><li>\r\r\nExperience in SQL, preferably PostgreSQL</li><li>\r\r\nFamiliarity with common AWS services such as EC2, Elastic Beanstalk, RDS and S3\r\r\n</li></ul>, <ul><li>\r\r\nPrevious GIS experience</li><li>\r\r\nExperience with Apache Airflow</li><li>\r\r\nPrior experience with Flask and/or Django</li><li>\r\r\nA working knowledge REST APIs</li><li>\r\r\nA familiarity with complexity analysis and algorithm design</li></ul>, <ul><li>\r\r\nExperience with databases, statistics, web services, algorithms, and Python</li><li>\r\r\nExperience building modular, scalable, cloud-based systems</li><li>\r\r\nWillingness to learn new technologies and a whatever-it-takes attitude towards building the best possible home buying and selling experiences for our users</li></ul>]
## 478 [<ul><li>Developing production ready code complete with error checking and assisting the IT department in developing automated scheduling and triggered execution.</li><li>Conducting research on industry trends/techniques and available data and partnerships – evaluate this research to recommend changes to existing process and develop new ones</li><li>Mentoring peers on how to use cutting edge techniques to address opportunities in marketing response, credit risk, marketing cost allocation, optimization, and customer segmentation</li></ul>, <ul><li>3+ years’ statistical data analysis experience</li><li>A solid knowledge of SAS & SQL; all modeling and data analysis will be conducted with these tools</li><li>Solid grasp of probability, statistical and mathematical modeling with analytical and quantitative problem-solving ability</li><li>Willingness to help others and ability to cultivate an environment of teamwork</li></ul>]
## 479 [<p>BAE Systems is looking for talented Data Scientists excited to develop, transform, and present data models to improve decision making in support of NGA’s GPS Monitoring efforts. The select candidates will be responsible for data extraction and manipulation of data sets. Create workflows and predictive models for end-users using system tools. Conduct statistical analysis on data to ensure correct predictive forecasting. Manage the analytics request process by capturing requirements. Additional responsibilities will involve the creation and maintenance of surveys and deciphering survey analytics.<br/>\r\r\n</p>, <ul><li>Ability to write scripts including Python and JAVA scripts.</li><li>Proficient with feature data services and data modelling.</li><li>Proficient with ESRI ArcGIS and ArcServer.</li><li>Proficient with geospatial database content management.</li><li>Proficient with data format conversion.</li><li>Knowledge of coordinate systems (latitude and longitude, UTM) and their conversions.</li><li>Knowledge of projections and their properties and conversions.</li><li>Knowledge of symbolization rules (how symbols are used to portray features)</li><li>Knowledge of generalization rules.</li><li>Minimum 2 years of experience working with data quality control tools including ArcGIS Data ReViewer.</li><li>Proficient with ESRI Workflow Manager WMX and TAM.</li><li>Experience working with geospatial data in a multi-user enterprise environment.</li><li>Demonstrated ability in writing SQL</li></ul>, <ul><li>Experience with combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photogrammetry, and digital data formats.</li><li>Demonstrated knowledge of Microsoft Access databases</li><li>Understanding of cloud architecture<br/>\r\r\n</li></ul>]
## 480 [<p><b>Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 244 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom, enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.\r\r\n</b></p>, <p><b>When applying for a job you are required to create an account, if you have already created account - click Sign In.\r\r\n</b></p>, <p><b>Creating an account will allow you to follow the progress of your applications.\r\r\n</b></p>, <p><b>Note:\r\r\n</b></p>, <p><b>Provide full legal first Name/Family Name\r\r\n</b></p>, <ul><li>DO: Capitalize first letter of First and Last Name. Example: John Smith\r\r\n</li><li>DON'T: Capitalize entire First and/or Last Name. Example: JOHN SMITH\r\r\n</li><li>NOTE: Use correct grammar for Names with multiple cases. Example: McDonald or O'Connell\r\r\n<br/>\r\r\n</li></ul>, <p><b>Provide full address details\r\r\n</b></p>, <p><b>Resume is required\r\r\n</b></p>, <p><b>Multiple attachments can be uploaded including Resume and Cover Letter for each application<br/>\r\r\n</b><br/>\r\r\n</p>, <p>Job Description Summary:\r\r\n</p>, <p>Job Description:\r\r\n</p>, <ul><li>Understand the process of decision optimization, data analysis, as well as analytical and operational partners' work\r\r\n</li><li>Create pipelines (data processing, data analysis, optimization, implementation) for automated strategy development\r\r\n</li><li>Collaborate closely with analytical and operational partners in creating and maintaining tools to reduce their repeated manual effort, and improve decision quality and process efficiency\r\r\n</li><li>Communicate efficiently and frequently with partners to gather requests and feedback, then quick adopt these requests and feedback into products your are building\r\r\n</li><li>Interest and ability in learning new techniques and research on how to apply them into daily work\r\r\n</li></ul>, <ul><li>BA degree (MS is a plus) in Computer Science, Computer Engineering, Electric Engineering, Mathematics or equivalent practical experience\r\r\n</li><li>2+ years of Data Scientist experience required.\r\r\n</li><li>Experience with data manipulation and analysis tools (SQL, Python, R or similar languages)\r\r\n</li><li>Familiar with typical data mining and machine learning algorithms such as linear regression, decision tree, logistic regression, and clustering's representation and implementation\r\r\n</li><li>Effective communication skills\r\r\n</li></ul>, <p>Subsidiary:\r\r\n</p>, <p>Travel Percent:\r\r\n</p>, <p>Primary Location:\r\r\n</p>, <p>Additional Locations:\r\r\n</p>, <p><b>We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.\r\r\n</b></p>, <p><b>Paypal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.</b></p>]
## 481 [<p><b>Job Req ID:</b> 165790</p>, <p><b>\r\r\nPosition Number:</b> 00143702</p>, <p><b>\r\r\nEmployment Type:</b> Full Time</p>, <p><b>\r\r\nShift:</b> Day</p>, <p><b>\r\r\nShift Details</b>: M-F, Days</p>, <p><b>\r\r\nStandard Hours:</b> 40.00</p>, <p><b>\r\r\nDepartment Name: </b>IAS Population Hlth Analytics</p>, <p><b>\r\r\nLocation: </b>CHS Corporate Operations</p>, <p><b>\r\r\nLocation Details:\r\r\n</b></p>, <p><i>Carolinas HealthCare System is Atrium Health. Our mission remains the same: to improve health, elevate hope and advance healing - for all. The name Atrium Health allows us to grow beyond our current walls and geographical borders to impact as many lives as possible and deliver solutions that help communities thrive. For more information, please visit </i><i>carolinashealthcare.org/AtriumHealth</i></p>, <ul><li>With minimal guidance, use advanced statistical and computational methodologies to deliver insights and strategic opportunities to improve the quality, patient experience, and cost of healthcare\r\r\n</li><li>Establish scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation\r\r\n</li><li>Proactively monitor and analyze complex systems to understand, diagnose, and continuously improve key performance indicators\r\r\n</li><li>Expertise in problem definition, i.e., able to translate business/research questions into analytical questions and translate analytical results into business/research solutions\r\r\n</li><li>Write statistical methodology and results for technical reports and publications\r\r\n</li><li>Manipulate, combine, and refine large databases to produce information suitable for analysis\r\r\n</li><li>Develop algorithms for data analysis and write computer code to implement them\r\r\n</li><li>Create graphics for data visualization and information display\r\r\n</li><li>Develop metrics and scorecards\r\r\n</li><li>Partner with senior leaders (SVP, EVP) across the organization to assess needs and define business questions\r\r\n</li><li>Able to take leadership of multiple projects concurrently and accommodate frequent interruptions and changing priorities\r\r\n</li><li>Able to influence senior leaders (SVP, EVP) to take action based on analytical insights\r\r\n</li><li>Creates timelines for project management with little or no assistance. Ensures successful completion of assigned projects on schedule, within budget, and in accordance with CHS standards and ethics\r\r\n</li><li>Ability to translate advanced methodologies and complex results for non-technical audiences\r\r\n</li><li>Conduct effective meetings with customers, including senior leaders\r\r\n</li></ul>, <p><i>\r\r\nAt Atrium Health, formerly Carolinas HealthCare System, our patients, communities and teammates are at the center of everything we do. Our commitment to diversity and inclusion allows us to deliver care that is superior in quality and compassion across our network of more than 900 care locations.</i></p>, <p><i>\r\r\nAs a leading, innovative health system, we promote an environment where differences are valued and integrated into our workforce. Our culture of inclusion and cultural competence allows us to achieve our goals and deliver the best possible experience to patients and the communities we serve.</i></p>, <p><b>\r\r\nPosting Notes:</b> Not Applicable</p>, <p><b><i>\r\r\nCarolinas HealthCare System is an EOE/AA Employer</i></b></p>]
## 482 [<p>Req. ID: 124501</p>, <p><b>\r\r\nMicron Technology’s vision is to transform how the world uses information to enrich life and our commitment to people, innovation, tenacity, collaboration, and customer focus allows us to fulfill our mission to be a global leader in memory and storage solutions. This means conducting business with integrity, accountability, and professionalism while supporting our global community.</b></p>, <p>\r\r\nDo you have a desire to create Machine Learning applications that can help improve world-class memory solutions?</p>, <p>\r\r\nAs a <b>Data Scientist</b> at Micron Technology, Inc., you will <b>make value</b> out of data and build <b>practical</b> applications to improve the predictive methods of operation.</p>, <p>\r\r\nYou will employ techniques and theories drawn from areas of mathematics, statistics, and computer science to interpret large data sets to develop solutions to hard problems.</p>, <p><b>\r\r\nYour responsibilities and tasks will include, but not limited to:</b></p>, <ul><li>\r\r\nCreating various Machine Learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems, based on data collection, aggregation, and analysis</li><li>\r\r\nPerforming statistical analysis at scale</li><li>\r\r\nDesire to grow career as Data Scientist in developing next generation memory products</li><li>\r\r\nUnderstanding of database systems and structure</li></ul>, <p><b>\r\r\nYou will have the following qualifications:<br/>\r\r\n</b></p>, <ul><li>A Bachelor’s Degree in Mathematics, Computer Science, Data Science, Physics, Electrical Engineering, or related fields and Industry Semiconductor Data Science experience <b>(Optional)</b> and 3+ years of industry experience</li><li>\r\r\nStrong skills in machine learning, statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised machine learning</li><li>\r\r\nUnderstanding the details of Machine Learning algorithms</li><li>\r\r\nExperienced in software development and data structures</li><li>\r\r\nFluent in pySpark and/or Scala Spark</li><li>\r\r\nFluent in Python and/or R</li><li>\r\r\nExperienced in Hadoop, HDFS, Hive, HBase</li><li>\r\r\nFluent in executing data extraction from variety of data sources (Teradata, Oracle, MS SQL, etc.)</li><li>\r\r\nExperienced in aggregations, reporting/summarization techniques and data visualization</li><li>\r\r\nExperienced in working with high dimensional, skewed and frequently changing datasets</li><li>\r\r\nSME on DRAM operations <b>(Optional)</b> for better use of application of the data to new operations and methodologies</li></ul>, <p><b>\r\r\nAbout Us</b></p>, <p><b>\r\r\nAs the leader in innovative memory solutions, Micron is helping the world make sense of data by delivering technology that is transforming how the world uses information. Through our global brands — Micron, Crucial and Ballistix — we offer the industry’s broadest portfolio. We are the only company manufacturing today’s major memory and storage technologies: DRAM, NAND, NOR and 3D XPoint\231 memory. Our solutions are purpose built to leverage the value of data to unlock financial insights, accelerate scientific breakthroughs and enhance communication around the world.</b></p>, <p><b>\r\r\nMicron Benefits</b></p>, <p><b>\r\r\nEmployee Rewards Program, Healthcare, Paid time off (Combined Sick and Vacation Time), Retirement savings plans, Paid maternity/paternity leave, Employee Assistance Program, Professional development training, Workplace wellness programs, Micron Health Clinic (Boise only), Fitness Center / Activity rooms (Boise only), Tuition Reimbursement, Micron Corporate Discounts, Casual Dress attire.</b></p>, <p><br/>\r\r\nWe recruit, hire, train, promote, discipline and provide other conditions of employment without regard to a person's race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity and expression, pregnancy, veteran’s status, or other classifications protected under law. This includes providing reasonable accommodation for team members' disabilities or religious beliefs and practices.</p>, <p><br/>\r\r\nEach manager, supervisor and team member is responsible for carrying out this policy. The EEO Administrator in Human Resources is responsible for administration of this policy. The administrator will monitor compliance and is available to answer any questions on EEO matters.</p>, <p><br/>\r\r\nTo request assistance with the application process, please contact Micron’s Human Resources Department at 1-800-336-8918 (or 208-368-4748).</p>, <p><br/>\r\r\nKeywords: Boise || Idaho (US-ID) || United States (US) || DEG (DRAM Engineering Group) || Experienced || Regular || Engineering || #LI-MP1 ||</p>]
## 483 [<p>The Marketing Junior Data Scientist leverages advanced analytic knowledge and statistical/data mining model to predict customer behavior and segment customer clusters. He/she works with business marketing teams and support to optimize the digital campaigns, analyze the effectiveness of the campaign and estimate the financial impact.</p>, <p>\r\r\nWe’re the obstacle overcomers, the problem get-arounders. From figuring it out to getting it done… our innovative culture demands “yes and how!” We are UPS. We are the United Problem Solvers. Our Information Management teams are responsible for designing and supporting data solutions to meet UPS’s rapidly changing business needs. Our team is comprised of individuals who are experts in data management, compliance and governance. We ensure quality, completeness, availability, protection, understanding and effective use of our data assets. Our ability to organize and design the wealth of data we receive each day provides the foundation which enables many of UPS’ core processes.</p>, <p>\r\r\nThis position offers an exceptional opportunity to work for a Fortune 50 industry leader. If you are selected, you will join our dynamic technology team in making a difference to our business and customers. Do you think you have what it takes? Prove it! At UPS, ambition knows no time zone.</p>, <p><b>\r\r\nResponsibilities and Duties</b></p>, <ul>\r\r\n<li>Develops descriptive and predictive models for customer value estimation and behavior estimation</li>\r\r\n<li>Works with peer marketing team to support digital campaigns and leverage the analysis or advanced models</li>\r\r\n<li>Turns disparate data into coherent audiences based on complex relationships</li>\r\r\n<li>Mines data to build propensity models</li>\r\r\n<li>Mines data to support the analytics team to build out performance measurement</li>\r\r\n<li>Measures the effectiveness of digital campaigns and estimates financial impact</li>\r\r\n<li>Supports digital campaign markets data platform and integration</li>\r\r\n</ul>, <p><b>Knowledge and Skills</b></p>, <ul>\r\r\n<li>3+ years' experience in machine learning/statistical modeling (e.g., classification model, cluster models, etc.)</li>\r\r\n<li>3+ years' experience in big data or customer data platform environments</li>\r\r\n<li>Deep experience with Python or R</li>\r\r\n<li>Advanced experience in database/table concepts and constructs, including cloud computing environment</li>\r\r\n<li>Deep experience in Hive, Spark, SQL and other big data skills</li>\r\r\n<li>Knowledgeable on digital campaigns, digital audience management and digital marketing concepts</li>\r\r\n<li>Master's Degree (or internationally comparable degree) in Computer Science, Mathematics, Statistics, Data Science or related field - Preferred</li>\r\r\n</ul>]
## 484
## 485 [<p><b>Sysco Associate Apply - Click </b><b>Here</b></p>, <p>\r\r\nCompany: CORP Enclave<br/>\r\r\nLocation: US-TX-Houston<br/>\r\r\nZip Code: 77077<br/>\r\r\nMinimum Level of Education: Master's Degree<br/>\r\r\nMinimum Years of Experience: 3<br/>\r\r\nPosition Type: Exempt<br/>\r\r\nTravel Percentage: 0</p>, <p><b>\r\r\nMore information about this job:</b></p>, <p><b>\r\r\nOVERVIEW:</b><br/>\r\r\nAt Sysco, we offer our associates the opportunity to grow personally and professionally, to contribute to the success of a dynamic organization, and to serve others in a manner that exceeds their expectations. We are looking for talented, hard-working individuals to join our team. Come grow with us and let us show you why good things really do come from Sysco.</p>, <p>This role will be focused on applying advanced analytics to support the evaluation and development of both costing and pricing strategies, as well as the design of processes, tools, and metrics to execute strategy. This will require expert ability in all areas of analytics, including problem conceptualization; data acquisition, cleansing and manipulation; mathematical modeling; analytical and heuristic solution methods; and the ability to synthesize, visualize and communicate results and recommend a course of action. This role will also advocate for any additional BI capabilities needed to develop predictive models or to quantify the impact of any element of the margin waterfall.</p>, <p><b>RESPONSIBILITIES:</b><br/>\r\r\n</p>, <ul><li>Perform data mining, cleansing, and manipulation; identify necessary data elements and their sources, leverage appropriate tools to acquire and consolidate large volumes of data from different sources, and identify and resolve any irrelevant, corrupt, missing, or incongruent data</li>\r\r\n<li>Identify and use appropriate technologies and platform to execute analytics against business requirements, including the ability to scale, deploy and distribute models across enterprise as needed</li>\r\r\n<li>Support the development of business cases for new solutions, with in-depth analysis of the challenge being addressed, the cost of the solution and projected business impact</li>\r\r\n<li>Support the development of performance management scorecards and dashboards to monitor adoption, implementation and impact of price and cost strategies</li>\r\r\n<li>Collaborate with cross-functional teams to frame requirements within an analytics context in order to tackle business goals</li>\r\r\n</ul>, <p><b>QUALIFICATIONS:</b><br/>\r\r\n</p>, <p>Basic Qualifications:<br/>\r\r\n</p>, <ul><li>3+ years of experience accessing and manipulating data in SQL or NoSQL database environments</li>\r\r\n<li>3+ years of experience with scientific scripting languages (e.g., Python, R, SAS) and/or object oriented programming (e.g., C++, Java)</li>\r\r\n<li>2+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis required</li>\r\r\n<li>7-10 years of overall analytics experience, can be inclusive of post graduate work</li>\r\r\n</ul>, <p>Preferred Qualifications:<br/>\r\r\n</p>, <ul><li>Experience in dynamic programming or text mining highly preferred</li>\r\r\n</ul>, <p>Education and / or Experience:<br/>\r\r\n</p>, <p>Master’s or PhD degree with a focus on a quantitative research and 2+ years of non-academic experience required; or equivalent experience in a R&D environment.</p>, <p>Professional Skills:<br/>\r\r\n</p>, <p>Proven capabilities executing analytics in a project-based environment for a wide range of applications in a corporate/production scale</p>, <p>Physical Demands:</p>, <p>The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.<br/>\r\r\n</p>, <p>Working Conditions:</p>, <p>The above information on this description has been designed to indicate the general nature and level of work performed by associates within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of associates assigned to this job.</p>, <p>To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p>, <p>\r\r\nApplicants must be currently authorized to work in the United States.</p>, <p>\r\r\nSysco is proud to be an Equal Opportunity and Affirmative Action employer, and considers qualified applicants without regard to race, color, creed, religion, ancestry, national origin, sex, sexual orientation, gender identity, age, disability, veteran status or any other protected factor under federal, state or local law.</p>, <p>\r\r\nThis opportunity is available through Sysco Corporation, its subsidiaries and affiliates.</p>]
## 486 [<p>Who we are...\r\r\n</p>, <p>Position Overview\r\r\n</p>, <p>Essential Responsibilities\r\r\n</p>, <p>Qualifications\r\r\n</p>]
## 487 [<ul><b>Role Summary:</b>\r\r\nThe Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, they will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.<b>\r\r\nEssential Responsibilities:</b>\r\r\nThe Data Scientist will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. Develop analytics within well-defined projects to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate The work and outcomes. Share and discuss findings with team members.<b>\r\r\nQualifications/Requirements:</b><p>\r\r\nBasic Qualifications:<br/>\r\r\n</p><li>\r\r\nBachelor’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics)<br/>\r\r\n</li><li>Minimum 1 year analytics development in a commercial setting<br/>\r\r\n<br/>\r\r\n<p>Eligibility Requirements:<br/>\r\r\n</p></li><li>\r\r\nLegal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job<br/>\r\r\n<br/>\r\r\n<b>Desired Characteristics:</b><br/>\r\r\n</li><li>Demonstrated awareness of feature extraction and real-time analytics methods<br/>\r\r\n</li><li>Demonstrated awareness of analytic prototyping, analytic scaleup, analytic scaling, and solutions integration<br/>\r\r\n</li><li>Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)<br/>\r\r\n</li><li>Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment<br/>\r\r\n</li><li>Demonstrated skill in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets<br/>\r\r\n<br/>\r\r\n<p>#DTR<br/>\r\r\n<br/>\r\r\n<b>About Us:</b><br/>\r\r\nGE (NYSE:GE) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE’s mission and deliver for our customers. www.ge.com<br/>\r\r\nGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.<br/>\r\r\n<br/>\r\r\n<b>Locations: </b>United States; Ohio; Evendale<br/>\r\r\n</p><p>\r\r\nGE will only employ those who are legally authorized to work in the United States for this opening.</p></li></ul>, <p>\r\r\nBasic Qualifications:<br/>\r\r\n</p>, <p>Eligibility Requirements:<br/>\r\r\n</p>, <p>#DTR<br/>\r\r\n<br/>\r\r\n<b>About Us:</b><br/>\r\r\nGE (NYSE:GE) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE’s mission and deliver for our customers. www.ge.com<br/>\r\r\nGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.<br/>\r\r\n<br/>\r\r\n<b>Locations: </b>United States; Ohio; Evendale<br/>\r\r\n</p>, <p>\r\r\nGE will only employ those who are legally authorized to work in the United States for this opening.</p>]
## 488 [<p><b>Illumination Works, LLC (ILW):</b><br/>\r\r\n</p>, <p>\r\r\nILW is a motivated, fast-growing solutions enablement company. We provide expert level consulting, design, and development services that deliver exceptional outcomes and products for our clients. We know data. We’ve grown with the industry as it morphed from rows and columns filled with structured data to applying text analytics and prescriptive models to unstructured data. We create innovative solutions for our customers ranging from prototypes to scalable, enterprise-level products. We’ve helped customers migrate and ingest data into Big Data frameworks and data lakes to drive understanding, business value, and future investment prospects. We design custom algorithms and apply analytics that optimally leverage the data in a statistically robust manner to yield new insights and meet our customer’s needs.</p>, <ul><li><b>\r\r\nOutstanding problem-solving and critical thinking skills</b></li><li><b>\r\r\nInnovative, creative, out-of-box thinking</b></li><li><b>\r\r\nAbility to explore complex data sets and extract value from them</b></li><li><b>\r\r\nExperiment design and algorithm development</b></li><li>\r\r\nExcellent verbal and written communication skills and the ability to interact professionally with executives, managers, and subject matter experts</li><li><b>\r\r\nAbility to thrive in collaborative and independent work environments</b></li><li><b>\r\r\nAptitude for learning and mentoring</b></li><li><b>\r\r\nAbility to efficiently assimilate and apply new knowledge</b></li><li>\r\r\nProficiency with at least one computer programming language (e.g., Python, R)</li><li>\r\r\nPhD or Masters in an analytic discipline and at least 5 years independent research or work experience or equivalent work experience with any degree in an analytic discipline.</li></ul>, <p><b>\r\r\nPreferred technical skills</b></p>, <ul><li><b>\r\r\nMastery of Python or R</b></li><li>\r\r\nExperience with advanced statistics</li><li><b>\r\r\nExperience with machine learning</b></li><li><b>\r\r\nCollaborative coding experience and competency with Git</b></li><li>\r\r\nExperience with Mathematica, SAS, MATLAB or equivalent</li><li>\r\r\nExperience with SQL, Hadoop, Hive, Pig, Hue, MongoDB, etc.</li></ul>, <p><b>\r\r\nNote: Acceptable candidates must successfully pass a drug test and background screen</b></p>, <p><b>\r\r\nWhy Choose Us?</b></p>, <ul><li>\r\r\nMarket Competitive Salary</li><li>\r\r\nGenerous PTO Package</li><li>\r\r\nComprehensive Medical, Dental, Vision and Life Insurance Plans</li><li>\r\r\n401K</li><li>\r\r\nShort and Long-Term Disability Insurance</li><li>\r\r\nFun & Engaging Culture</li><li>\r\r\nOngoing training, education and industry partnerships that allow you to be up to speed on the latest technologies and processes.</li></ul>]
## 489 [<ul>\r\r\n<li>Experience with applying advanced analytic techniques, including natural language processing and machine learning</li>\r\r\n<li>Experience with building data products using open source programming languages, including Python, R, TensorFlow, and ElasticSearch</li>\r\r\n<li>Experience with scaling data products across distributable computing environments, including Hadoop, MapReduce, or MongoDB</li>\r\r\n<li>Ability to obtain a security clearance</li>\r\r\n<li>BA or BS degree</li>\r\r\n</ul>, <ul>\r\r\n<li>Secret clearance preferred</li>\r\r\n<li>MA or MS degree a plus</li>\r\r\n</ul>]
## 490 [<p>(NYSE: WRK) partners with our customers to provide differentiated paper and packaging solutions that help them win in the marketplace. WestRock’s 45,000 team members support customers around the world from more than 300 operating and business locations spanning North America, South America, Europe, Asia and Australia. Learn more at www.westrock.com.</p>, <p><b>Principal Data Scientist</b></p>, <p><b>\r\r\nOverview</b></p>, <p>\r\r\nAs a Principal Data Scientist at WestRock, you will be part of a cross-functional team dedicated to building and delivering innovative products with high impact and visibility within the organization. You will leverage advanced techniques, such as optimization, data mining, statistical analysis and mathematical modeling, to develop solutions that help us operate more efficiently and cost-effectively. You will be expected to engage with our business partners to identify data-driven opportunities and develop corresponding predictive/prescriptive models to solve business problems. You will be responsible for collecting, organizing, analyzing, and then sharing insights gleaned from data.<br/>\r\r\n</p>, <p><b>Major Tasks, Responsibilities & Key Accountabilities</b></p>, <ul><li><div>\r\r\nFormulates and applies mathematical modeling and other optimizing methods to develop and interpret information that assists the business with decision making, policy formulation and/or other management functions through solutions that save time, cost, or improve processes.</div></li><li><div>\r\r\nAnalyzes large data sets and use programming languages such as Python, R to develop statistical and optimization models to drive business solutions.\r\r\n</div></li><li><p>Builds large data sets from multiple sources to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets.\r\r\n</p></li><li><p>Setups and deploys models/solutions in a live/production environment.</p></li><li><div>\r\r\nDefines new development guidelines based on emerging trends and patterns.</div></li><li><p>\r\r\nIdentify data needs and requirements for data collection, transformation and integration to support modeling needs</p></li><li><p>\r\r\nPrepare technical reports, presentations, and status briefings to communicate status and results of analysis to other business partners within WestRock.</p></li></ul>, <p>Builds large data sets from multiple sources to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets.\r\r\n</p>, <p>Setups and deploys models/solutions in a live/production environment.</p>, <p>\r\r\nIdentify data needs and requirements for data collection, transformation and integration to support modeling needs</p>, <p>\r\r\nPrepare technical reports, presentations, and status briefings to communicate status and results of analysis to other business partners within WestRock.</p>, <ul><li><p>\r\r\nResearches current trends in the industry and utilizes up-to-date technology (for example, HBase, MapReduce) and analytical skills to support their assigned project.</p></li><li><p>\r\r\nHandles a high-level of ambiguity by decomposing business objectives into technical solutions</p></li><li><p>\r\r\nCoordinates interdependencies between tasks and drives an optimal path for completion across team members.</p></li><li><p>\r\r\nActs as a mentor for associate and intermediate team members assisting in their career growth.</p><br/>\r\r\n</li></ul>, <p>\r\r\nResearches current trends in the industry and utilizes up-to-date technology (for example, HBase, MapReduce) and analytical skills to support their assigned project.</p>, <p>\r\r\nHandles a high-level of ambiguity by decomposing business objectives into technical solutions</p>, <p>\r\r\nCoordinates interdependencies between tasks and drives an optimal path for completion across team members.</p>, <p>\r\r\nActs as a mentor for associate and intermediate team members assisting in their career growth.</p>, <p><b>\r\r\nBasic Requirements:</b></p>, <ul><li><div>\r\r\nMaster's degree in Industrial Engineering, Operations Research, Computer Science, Math or related quantitative field.\r\r\n</div></li><li><div>Has expert-level knowledge in Prescriptive and Predictive analytics\r\r\n</div></li><li><div>Strong understanding of the relationships to other centers of excellence</div></li><li><div>\r\r\n10+ years of experience in developing large-scale optimization application using tools including CPLEX, AMPL, or OPL</div></li><li><div>\r\r\nStrong programming, data mining and machine learning background\r\r\n</div></li><li><div>5+ years of experience in manufacturing and/or transportation industry</div></li><li><div>\r\r\nAnalytical and detail oriented with the ability to prioritize, execute and deliver projects on time</div></li><li><div>\r\r\nDemonstrates influence with stakeholders and team members to coordinate completion of projects</div></li><li><div>\r\r\nMust be comfortable with unstructured, fast moving and constantly evolving high growth environment</div></li><li><div>\r\r\nCommitted team player who is proactive, takes ownership over the success of their projects, and works hard to support those around them</div></li><li><p>\r\r\nDemonstrated ability in innovation to create business value and influence business strategy</p></li></ul>, <p>\r\r\nDemonstrated ability in innovation to create business value and influence business strategy</p>, <p><b>\r\r\nPreferred Qualifications:</b></p>, <ul><li><div>\r\r\nPhD in Industrial Engineering, Operations Research, Computer Science, Math or related quantitative field.\r\r\n</div></li><li><div>Experience with machine learning, graph analysis and statistical modeling.</div></li><li><div>\r\r\nExpertise in at least one statistics/data analysis package, such as Spark, Python or R.\r\r\n</div></li><li><div>Expertise in at least one programming language, such as Python or Java, etc.\r\r\n</div></li><li><div>Experience with deploying data science solutions in a live, production environment.</div></li><li><p>\r\r\nSolid coding practices including good design documentation, unit testing, and integration testing.<br/>\r\r\n</p></li></ul>, <p>\r\r\nSolid coding practices including good design documentation, unit testing, and integration testing.<br/>\r\r\n</p>, <p><b>Knowledge, Skills, Abilities and Competencies:</b></p>, <ul><li><div>\r\r\nStrong communication and data presentation skills; ability to communicate with data-driven stories\r\r\n</div></li><li><div>Ability to quickly adapt to new technologies, tools and techniques\r\r\n</div></li><li><div>Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines\r\r\n</div></li><li><p>Ability to work with technical and non-technical team members</p></li></ul>, <p>Ability to work with technical and non-technical team members</p>]
## 491 [<p>About WestRock (NYSE: WRK) partners with our customers to provide differentiated paper and packaging solutions that help them win in the marketplace. WestRock’s 45,000 team members support customers around the world from more than 300 operating and business locations spanning North America, South America, Europe, Asia and Australia. Learn more at www.westrock.com.</p>, <p>Principal Data Scientist</p>, <p>\r\r\nOverview</p>, <p>\r\r\nAs a Principal Data Scientist at WestRock, you will be part of a cross-functional team dedicated to building and delivering innovative products with high impact and visibility within the organization. You will leverage advanced techniques, such as optimization, data mining, statistical analysis and mathematical modeling, to develop solutions that help us operate more efficiently and cost-effectively. You will be expected to engage with our business partners to identify data-driven opportunities and develop corresponding predictive/prescriptive models to solve business problems. You will be responsible for collecting, organizing, analyzing, and then sharing insights gleaned from data.<br/>\r\r\n</p>, <p>Major Tasks, Responsibilities & Key Accountabilities</p>, <ul><li><div>\r\r\nFormulates and applies mathematical modeling and other optimizing methods to develop and interpret information that assists the business with decision making, policy formulation and/or other management functions through solutions that save time, cost, or improve processes.</div></li><li><div>\r\r\nAnalyzes large data sets and use programming languages such as Python, R to develop statistical and optimization models to drive business solutions.\r\r\n</div></li><li><p>Builds large data sets from multiple sources to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets.\r\r\n</p></li><li><p>Setups and deploys models/solutions in a live/production environment.</p></li><li><div>\r\r\nDefines new development guidelines based on emerging trends and patterns.</div></li><li><p>\r\r\nIdentify data needs and requirements for data collection, transformation and integration to support modeling needs</p></li><li><p>\r\r\nPrepare technical reports, presentations, and status briefings to communicate status and results of analysis to other business partners within WestRock.</p></li></ul>, <p>Builds large data sets from multiple sources to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets.\r\r\n</p>, <p>Setups and deploys models/solutions in a live/production environment.</p>, <p>\r\r\nIdentify data needs and requirements for data collection, transformation and integration to support modeling needs</p>, <p>\r\r\nPrepare technical reports, presentations, and status briefings to communicate status and results of analysis to other business partners within WestRock.</p>, <ul><li><p>\r\r\nResearches current trends in the industry and utilizes up-to-date technology (for example, HBase, MapReduce) and analytical skills to support their assigned project.</p></li><li><p>\r\r\nHandles a high-level of ambiguity by decomposing business objectives into technical solutions</p></li><li><p>\r\r\nCoordinates interdependencies between tasks and drives an optimal path for completion across team members.</p></li><li><p>\r\r\nActs as a mentor for associate and intermediate team members assisting in their career growth.</p><br/>\r\r\n</li></ul>, <p>\r\r\nResearches current trends in the industry and utilizes up-to-date technology (for example, HBase, MapReduce) and analytical skills to support their assigned project.</p>, <p>\r\r\nHandles a high-level of ambiguity by decomposing business objectives into technical solutions</p>, <p>\r\r\nCoordinates interdependencies between tasks and drives an optimal path for completion across team members.</p>, <p>\r\r\nActs as a mentor for associate and intermediate team members assisting in their career growth.</p>, <p>\r\r\nBasic Requirements:</p>, <ul><li><div>\r\r\nMaster's degree in Industrial Engineering, Operations Research, Computer Science, Math or related quantitative field.\r\r\n</div></li><li><div>Has expert-level knowledge in Prescriptive and Predictive analytics\r\r\n</div></li><li><div>Strong understanding of the relationships to other centers of excellence</div></li><li><div>\r\r\n10+ years of experience in developing large-scale optimization application using tools including CPLEX, AMPL, or OPL</div></li><li><div>\r\r\nStrong programming, data mining and machine learning background\r\r\n</div></li><li><div>5+ years of experience in manufacturing and/or transportation industry</div></li><li><div>\r\r\nAnalytical and detail oriented with the ability to prioritize, execute and deliver projects on time</div></li><li><div>\r\r\nDemonstrates influence with stakeholders and team members to coordinate completion of projects</div></li><li><div>\r\r\nMust be comfortable with unstructured, fast moving and constantly evolving high growth environment</div></li><li><div>\r\r\nCommitted team player who is proactive, takes ownership over the success of their projects, and works hard to support those around them</div></li><li><p>\r\r\nDemonstrated ability in innovation to create business value and influence business strategy</p></li></ul>, <p>\r\r\nDemonstrated ability in innovation to create business value and influence business strategy</p>, <p>\r\r\nPreferred Qualifications:</p>, <ul><li><div>\r\r\nPhD in Industrial Engineering, Operations Research, Computer Science, Math or related quantitative field.\r\r\n</div></li><li><div>Experience with machine learning, graph analysis and statistical modeling.</div></li><li><div>\r\r\nExpertise in at least one statistics/data analysis package, such as Spark, Python or R.\r\r\n</div></li><li><div>Expertise in at least one programming language, such as Python or Java, etc.\r\r\n</div></li><li><div>Experience with deploying data science solutions in a live, production environment.</div></li><li><p>\r\r\nSolid coding practices including good design documentation, unit testing, and integration testing.<br/>\r\r\n</p></li></ul>, <p>\r\r\nSolid coding practices including good design documentation, unit testing, and integration testing.<br/>\r\r\n</p>, <p>Knowledge, Skills, Abilities and Competencies:</p>, <ul><li><div>\r\r\nStrong communication and data presentation skills; ability to communicate with data-driven stories\r\r\n</div></li><li><div>Ability to quickly adapt to new technologies, tools and techniques\r\r\n</div></li><li><div>Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines\r\r\n</div></li><li><p>Ability to work with technical and non-technical team members</p></li></ul>, <p>Ability to work with technical and non-technical team members</p>]
## 492 [<p>Do you want to stretch your boundaries and accelerate your career? C.H. Robinson – one of the world’s largest third party logistics providers - is looking for motivated people who are excited to dig in, be challenged and have a direct impact on our global technology!\r\r\n</p>, <p>From week one you will have hands on, meaningful responsibilities and training that will challenge and reward you. You will work and innovate on projects that drive toward our vision of a single global technology platform that supports efficient and effective delivery of high value features our business users need. C.H. Robinson is an industry leader in logistics technology and you can be a part of our cutting-edge solutions.\r\r\n</p>, <p><b>Responsibilities:</b></p>, <ul><li>\r\r\nCollaborate on required analytic projects\r\r\n</li><li>In conjunction with data owners and subject matter experts, develop new ways of getting insights out of data that allow us to improve supply chain logistics</li><li>\r\r\nUnderstanding root causes of changes in metric</li><li>\r\r\nDevelop algorithms that can go from prototype to production quickly</li><li>\r\r\nUse data mining, model building, and other analytical techniques to develop and maintain predictive model</li><li>\r\r\nWorking in python or R primarily, with a variety of technologies (Hadoop, Spark, Hive, MySQL, Docker) to access data and deploy models.</li></ul>, <p><b>\r\r\nQualifications:</b></p>, <p><b>\r\r\nRequired Qualifications:</b></p>, <ul><li>\r\r\nPassionate about empirical research, asking and answering questions in large datasets, finding patterns and insights within structured and unstructured data\r\r\n</li><li>Strong communication and interpersonal skills and ability to work in team environment</li><li>\r\r\nQuick learner who adapts well to a fast-moving environment and gets things done\r\r\n</li><li>Combines creativity, problem-solving skills, and a can-do attitude to overcome any obstacle\r\r\n</li></ul>, <p><b>Preferred Qualifications:</b></p>, <ul><li>\r\r\nUnderstanding of statistical, predictive and descriptive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms</li><li>\r\r\nFamiliar with data visualization using tools like Python and R. Experience with a web-based visualization tool such as (Shiny, D3 or Plotly)</li><li>\r\r\nKnowledge of machine learning algorithms, both using and creating</li><li>\r\r\nKnowledge of geospatial\r\r\n</li><li>Experience designing and evaluating the results of complex controlled experiments</li><li>\r\r\nExperience computer programming using technologies and languages like C++, Java, R, Python, Scala or related</li><li>\r\r\nKnowledge of relational database and multi-dimensional concepts with ability to perform complex queries in a SQL Server environment</li><li>\r\r\nExperience with data sources like MongoDB, Redis, Elastic, Hadoop\r\r\n</li></ul>, <p><b>Education:</b><br/>\r\r\nAcademic background in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline.</p>, <p><b>Benefits</b></p>, <p>\r\r\nWe offer a competitive compensation package and excellent benefits including medical, dental, and vision insurance, prescription drug coverage, paid holidays and vacation, disability insurance, life insurance, 401K with company match, profit sharing, Employee Stock Purchase Plan, and the opportunity to prosper in a Fortune 500 company.</p>, <p><b>\r\r\nAbout C.H. Robinson</b></p>, <p>\r\r\nBecome a part of our team of over 500 talented IT Professionals. Work in collaborative, Agile development environment. Find continuing challenges and work with committed leaders. Stay with us – we’re large enough to build global solutions, but small enough to make real impacts as individuals.</p>, <p>\r\r\nC.H. Robinson—accelerating careers with immense opportunities and professional growth within the global supply chain industry. Start here. Accelerate here.</p>, <p>\r\r\nEvery individual working at C.H. Robinson is integral to the success of our customers and our company. C.H. Robinson is a Fortune 500, global company that values teamwork, initiative, accountability, and integrity from its employees. We work globally and innovate daily to enhance and execute supply chains that move goods around the world. The fast pace of the logistics industry translates into a high-energy and collaborative workplace environment. We are empowered to make decisions, help our customers grow, and accelerate our careers.</p>, <p>\r\r\nNo matter the product being shipped or from which corner of the globe, C.H. Robinson can help make it happen—quickly, securely, and reliably. Through personal connections and solid relationships, our employees use their in-depth knowledge, robust tools, and global network to help customers reach their goals quickly. Whether shipping by plane, rail, ship, or truck, C.H. Robinson has the knowledge, flexibility, and dedication to deliver the goods that make our world go ‘round.</p>, <p>\r\r\nJoin the 12,000 employees worldwide who are accelerating their careers at C.H. Robinson.</p>, <p><b>\r\r\nEqual Opportunity Employer</b></p>, <p>\r\r\nC.H. Robinson - Affirmative Action Employer/EOE/M/F/Disabled/Veteran</p>]
## 493
## 494 [<p>Are you inspired by “what’s next”? So are we.\r\r\n</p>, <p>When you join the Albemarle team, you contribute to a better tomorrow. You will play a role in powering many of the world’s largest and most critical industries, from energy and communications to transportation and electronics. We are putting innovation to work to improve people’s lives and we want YOU to be a part of it.\r\r\n</p>, <p><b>Job Description\r\r\n</b></p>, <p>When you join the Albemarle team, you contribute to a better tomorrow. You will play a role in powering many of the world’s largest and most critical industries, from energy and communications to transportation and electronics. We are putting innovation to work to improve people’s lives and we want YOU to be a part of it.\r\r\n<br/>\r\r\n<br/>\r\r\n<b>Job Description\r\r\n</b><br/>\r\r\n<br/>\r\r\nThe Data Scientist role is a key position in the Data Science team. Primary focus is on data mining & database development, data analysis & correlation development, scenario design & test, statistical trends, regressions, and forecasting.\r\r\n<br/>\r\r\n<br/>\r\r\nThe role includes, but is not limited to the following duties:\r\r\n</p>, <ul><li>Perform special market research and other projects as assigned with focus on mathematical modeling, data science and programming\r\r\n</li><li>Find, track, analyze, and communicate global economic data and trends impacting Albemarle business areas/products, both current and future\r\r\n</li><li>Use data to create models that depict trends in the customer base and market dynamics\r\r\n</li><li>Work with GBU/Divisional leadership to outline the specific data needs for each business and determine core analytics to be provided to manage business effectively\r\r\n</li><li>Facilitate and champion a data-driven decision culture.\r\r\n</li></ul>, <p><br/>\r\r\n<b>Education\r\r\n</b><br/>\r\r\n<br/>\r\r\nBS in Computer Science, Mathematics, Engineering, Economics or Science related discipline.\r\r\n<br/>\r\r\n<br/>\r\r\nMS/PhD preferred.\r\r\n<br/>\r\r\n<br/>\r\r\n<b>Experience<br/>\r\r\n</b><br/>\r\r\n</p>, <ul><li>5 - 10 years data analytics and/or mathematical modeling and programming experience (Less experience will be considered for candidates with MS/PhD degrees)\r\r\n</li><li>Experience in Artificial Intelligence and Machine Learning preferred\r\r\n</li><li>Intermediate or advanced experience in Python, R or another scripting language required\r\r\n</li><li>Chemical industry experience preferred Experience in Lithium/Energy Storage portfolio preferred\r\r\n</li></ul>, <p>#LI-VS1\r\r\n</p>, <p>Choose to unlock your full POTENTIAL . Apply today.\r\r\n</p>, <p><b>Responsibilities:\r\r\n</b></p>, <p><b>Experience:\r\r\n</b></p>, <p><b>Education:\r\r\n</b></p>, <p><b>Language:</b></p>]
## 495 [<p><b>JOB RESPONSIBILITIES\r\r\n</b></p>, <ul><li>Build complex data sets from multiple data sources, both internally and externally.\r\r\n</li><li>Build learning systems to analyze and filter continuous data flows and offline data analysis.\r\r\n</li><li>Conduct advanced statistical analysis to determine trends and significant data relationships.\r\r\n</li><li>Demonstrate up-to-date expertise and applies this to the development, execution, and improvement of action plans\r\r\n</li><li>Develop custom data models to drive innovative business solutions and train algorithms to apply models to new data sets.\r\r\n</li><li>Scale new algorithms to large data sets.\r\r\n</li><li>Validate models and algorithmic techniques.\r\r\n</li><li>Work with cross-functional partners across the business\r\r\n</li></ul>, <p><b>QUALIFICATIONS\r\r\n</b></p>, <ul><li>Advanced degree in Computer Science, Statistics, Mathematics, Economics, or related field\r\r\n</li><li>3+ years of work experience in data science and/or predictive analytics functions in business environment (preferably internal or external consulting)\r\r\n</li><li>Programming experience in one or more of Python and R, or other open-source programming languages\r\r\n</li><li>Experience with big data technology (such as Hadoop, Hive, Data Lake), either cloud or on-premise platforms\r\r\n</li><li>Knowledge of statistics and experience using statistical packages for analyzing datasets\r\r\n</li><li>Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy\r\r\n</li><li>Ability to write queries, generate reports, and present findings\r\r\n</li><li>Strong communication and facilitation skills\r\r\n</li><li>Excellent planning and organizing skills\r\r\n</li><li>Strong ability to continuously learn and upgrade technical skills\r\r\n</li></ul>, <p><b>EOE/Disabled/Veterans</b></p>]
## 496 [<p>Key Responsibilities:\r\r\n</p>, <ul><li>Drive end to end analytical process: from formulation of requirements, data acquisition, identification of analytical methods, creation/validation of models to business-friendly summarization of results\r\r\n</li><li>Interact with stakeholders to identify critical questions that need to be answered in order for the Analytics team to provide effective KPIs - actionable insights rather than just reports\r\r\n</li><li>Conduct analysis and data modeling to draw insights that drive critical decision making and to uncover social media patterns, fan engagement, behavior and feedback\r\r\n</li><li>Analyze data to identify outliers, missing, incomplete, and/or invalid data\r\r\n</li><li>Create models, KPIs, and dashboards to operationalize outcomes of analytics\r\r\n</li><li>Create, automate, and maintain reports and visualizations (e.g., social media mentions, competitive engagement, talent impact mapping)\r\r\n</li><li>Work in complex data environment comprising several heterogeneous internal and third party data sources, manipulate large data sets and navigate a variety of servers, data types, and data structures to complete statistical and other analyses\r\r\n</li><li>Design and build dashboards and automated reports with embedded visualizations\r\r\n</li></ul>, <p>Qualifications:\r\r\n</p>, <ul><li>Proven track record of identifying and highlighting key insights, signals, and trends deep within data\r\r\n</li><li>Well-rounded individual with the ability to write code to query and transform both unstructured and structured data\r\r\n</li><li>Openness to an environment of active developmental feedback and coaching from peers and managers, with desire to learn and grow rapidly\r\r\n</li><li>Experience publishing reports using visualization and presentation tools\r\r\n</li><li>Strong planning and organizational skills\r\r\n</li><li>Should enjoy generating actionable insights by mining data and be passionate about answering challenging questions and telling stories with data and visualizations\r\r\n</li><li>Self-motivated, attentive to detail, and driven to continuously improve analytics skill set\r\r\n</li><li>Bachelor’s degree in Statistics/Mathematics, Econometrics/Economics, Engineering/Computer Science, Business/Finance, or related quantitative field\r\r\n</li><li>Working knowledge of at least two technologies: SQL, SAS, Python, Big Query, Google Analytics, Excel, and Tableau\r\r\n</li><li>SPSS and/or R\r\r\n</li><li>Knowledge of social media platforms including but not limited to Facebook, Twitter, Instagram, Snapchat, YouTube\r\r\n</li></ul>, <p>_</p>]
## 497 [<p><b>Position Description</b></p>, <ul><li>Work closely with merchants to define objectives and design appropriate analytics solutions</li><li>Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand consumers</li><li>Develop analytical models to drive analytics insights</li><li>Lead small and participate in large data analytics project teams</li><li>Participate in the continuous improvement of data science and analytics</li><li>Present data insights and recommendations to key stakeholders</li><li>Provide and support the implementation of business solutions</li><li>Model compliance with company policies and support company mission, values, and standards of ethics and integrity</li></ul>, <p><b>\r\r\nMinimum Qualifications</b></p>, <ul><li>\r\r\nBachelor of Science and 5 years data science experience OR Master of Science and 3 years data science experience.</li></ul>, <p><b>\r\r\nAdditional Preferred Qualifications</b></p>, <ul><li>5 years’ experience in predictive modeling and large data analysis</li><li>5 years’ experience with statistical programming languages (for example, R, SAS)</li><li>5 years’ experience with SQL and relational databases (for example, DB2, Oracle, SQL Server)</li><li>Expert in any scripting language (Python, PHP, Perl, etc.)</li><li>Experience with Big Data/Distributed computing (Hadoop, Hive, Cassandra, Spark, etc.)</li><li>Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product</li><li>Experience analyzing data and a broad understanding of core statistical and ML techniques</li><li>Computer science, applied mathematics or statistics background in addition to data science skills</li><li>Capability to develop experimental and analytic plans for data modeling processes, use of baselines and KPIs, and ability to accurately determine cause and effect relationships</li><li>Demonstrated experience mentoring and educating junior data scientists to help them become competent and confident problem solvers</li><li>Certificate in business analytics, data mining, or statistical analysis</li></ul>, <p><b>\r\r\nCompany Summary</b></p>]
## 498 [<p><b>Position Description</b></p>, <ul><li>Work closely with merchants to define objectives and design appropriate analytics solutions</li><li>Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand consumers</li><li>Develop analytical models to drive analytics insights</li><li>Lead small and participate in large data analytics project teams</li><li>Participate in the continuous improvement of data science and analytics</li><li>Present data insights and recommendations to key stakeholders</li><li>Provide and support the implementation of business solutions</li><li>Model compliance with company policies and support company mission, values, and standards of ethics and integrity</li></ul>, <p><b>\r\r\nMinimum Qualifications</b></p>, <ul><li>\r\r\nBachelor of Science and 5 years data science experience OR Master of Science and 3 years data science experience.</li></ul>, <p><b>\r\r\nAdditional Preferred Qualifications</b></p>, <ul><li>5 years’ experience in predictive modeling and large data analysis</li><li>5 years’ experience with statistical programming languages (for example, R, SAS)</li><li>5 years’ experience with SQL and relational databases (for example, DB2, Oracle, SQL Server)</li><li>Expert in any scripting language (Python, PHP, Perl, etc.)</li><li>Experience with Big Data/Distributed computing (Hadoop, Hive, Cassandra, Spark, etc.)</li><li>Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product</li><li>Experience analyzing data and a broad understanding of core statistical and ML techniques</li><li>Computer science, applied mathematics or statistics background in addition to data science skills</li><li>Capability to develop experimental and analytic plans for data modeling processes, use of baselines and KPIs, and ability to accurately determine cause and effect relationships</li><li>Demonstrated experience mentoring and educating junior data scientists to help them become competent and confident problem solvers</li><li>Certificate in business analytics, data mining, or statistical analysis</li></ul>, <p><b>\r\r\nCompany Summary</b></p>]
## 499
## 500 [<p>Overview\r\r\n</p>, <p>Responsibilities\r\r\n</p>, <p>The lead data scientist is responsible for working with multiple platforms, architectures, and diverse technologies gathering requirements, design and developing recipes to satisfy customer requirements.<br/>\r\r\n</p>, <p>The successful candidate will be able to articulate and implement best practices for machine learning and AI with focus on automation, productization, reusability and modularity, across modern data tools. The candidate must have a successful track record in:</p>, <ul><li>\r\r\nSelecting features, building and optimizing classifiers using machine learning techniques</li><li>\r\r\nData mining using state-of-the-art methods</li><li>\r\r\nEnhancing data collection procedures to include information that is relevant for building analytic systems</li><li>\r\r\nCreating automated anomaly detection systems and constant tracking of its performance</li><li>\r\r\nContinuously scan the market for emerging tools and technologies that will enable competitive advantage in the defined areas of advanced analytics</li><li>\r\r\nProven abilities to generate white papers and collateral for enhancing brand value and usability of the outcome products and services</li></ul>, <p>Qualifications\r\r\n</p>, <p><b>Required Skills:</b></p>, <ul><li>\r\r\n15+ years of experience in with Data Science, big data and advanced analytics tools</li><li>\r\r\nStrong statistical and analytical skills</li><li>\r\r\nExtensive experience in Linux, shell scripting, python, R is expected</li></ul>, <p><b>\r\r\nDesired Skills:</b></p>, <ul><li>\r\r\nBe self-motivated to take on mentoring of resources</li><li>\r\r\nBe able to work independently with minimal supervision</li><li>\r\r\nExperience in working with the Hadoop ecosystem is advantageous</li></ul>, <p><b>\r\r\nEducation:</b></p>, <ul><li>\r\r\nBachelor's degree in Computer Science, Mathematics, Statistics or related discipline</li><li>\r\r\nMaster’s degree in Statistics, Computer Science, Mathematics or related discipline</li></ul>]
## Location Company_Revenue Company_Employees
## 1 TX
## 2 OR
## 3 DC
## 4 TX Less than 10,000
## 5 MD
## 6 NY
## 7 GA
## 8 ID
## 9 PA
## 10 PA
## 11 TX Less than $1B (USD) Less than 10,000
## 12 GA
## 13 GA Less than $1B (USD) Less than 10,000
## 14 MA
## 15 VA 10,000+
## 16 NJ More than $10B (USD) 10,000+
## 17 MA
## 18 LA 10,000+
## 19 MO More than $10B (USD) 10,000+
## 20 MO More than $10B (USD) 10,000+
## 21 NY
## 22 GA
## 23 VA 10,000+
## 24 LA 10,000+
## 25 NY More than $10B (USD) 10,000+
## 26 MA More than $10B (USD) 10,000+
## 27 CA $1B to $5B (USD) Less than 10,000
## 28 CA $5B to $10B (USD) 10,000+
## 29 GA
## 30 CA More than $10B (USD) 10,000+
## 31 MN
## 32 WA More than $10B (USD) 10,000+
## 33 CA Less than 10,000
## 34 TX
## 35 WA More than $10B (USD) 10,000+
## 36 NC
## 37 NC
## 38 IL Less than 10,000
## 39 CA $1B to $5B (USD) Less than 10,000
## 40 NY $1B to $5B (USD) Less than 10,000
## 41 CO
## 42 UT 10,000+
## 43 OH Less than $1B (USD) Less than 10,000
## 44 CA
## 45 USA 10,000+
## 46 OR
## 47 WA More than $10B (USD) 10,000+
## 48 TX More than $10B (USD) 10,000+
## 49 OH
## 50 FL $1B to $5B (USD) 10,000+
## 51 IL 10,000+
## 52 AR More than $10B (USD) 10,000+
## 53 VA
## 54 WA More than $10B (USD) 10,000+
## 55 TX More than $10B (USD) 10,000+
## 56 VA
## 57 PA $5B to $10B (USD) 10,000+
## 58 MO $1B to $5B (USD) Less than 10,000
## 59 ME
## 60 CA
## 61 IL
## 62 NV $5B to $10B (USD) 10,000+
## 63 CT $1B to $5B (USD) Less than 10,000
## 64 REMOTE Less than $1B (USD) Less than 10,000
## 65 RI Less than 10,000
## 66 PA More than $10B (USD) 10,000+
## 67 NY
## 68 NY
## 69 FL 10,000+
## 70 TN 10,000+
## 71 FL More than $10B (USD) 10,000+
## 72 MA More than $10B (USD) 10,000+
## 73 TX
## 74 WA Less than $1B (USD) Less than 10,000
## 75 WI
## 76 DC Less than 10,000
## 77 SC
## 78 DC
## 79 MO
## 80 IL More than $10B (USD) 10,000+
## 81 CA
## 82 MA
## 83 MI $5B to $10B (USD) Less than 10,000
## 84 PA Less than 10,000
## 85 NY
## 86 NY
## 87 CA Less than 10,000
## 88 KY Less than 10,000
## 89 MA
## 90 AZ
## 91 NV $5B to $10B (USD) 10,000+
## 92 FL $1B to $5B (USD) 10,000+
## 93 WA More than $10B (USD) 10,000+
## 94 GA
## 95 PA $1B to $5B (USD) 10,000+
## 96 MA More than $10B (USD) Less than 10,000
## 97 VA
## 98 IL Less than $1B (USD) Less than 10,000
## 99 UT $5B to $10B (USD) 10,000+
## 100 NC Less than $1B (USD) 10,000+
## 101 NY
## 102 MA More than $10B (USD) 10,000+
## 103 CO
## 104 TX
## 105 FL
## 106 NY
## 107 MD
## 108 IN
## 109 USA 10,000+
## 110 MN More than $10B (USD) 10,000+
## 111 TX
## 112 MD
## 113 CA $1B to $5B (USD) 10,000+
## 114 PA
## 115 PA
## 116 PA More than $10B (USD) 10,000+
## 117 AR More than $10B (USD) 10,000+
## 118 CA
## 119 TX $5B to $10B (USD) Less than 10,000
## 120 MI $5B to $10B (USD) 10,000+
## 121 WA
## 122 NY Less than 10,000
## 123 MI More than $10B (USD) 10,000+
## 124 PA More than $10B (USD) 10,000+
## 125 FL $1B to $5B (USD) 10,000+
## 126 VA
## 127 MD Less than 10,000
## 128 PA
## 129 OH
## 130 TX Less than 10,000
## 131 CO More than $10B (USD) 10,000+
## 132 MO Less than $1B (USD) Less than 10,000
## 133 CA
## 134 MN
## 135 MN $1B to $5B (USD) 10,000+
## 136 TX
## 137 CO
## 138 USA More than $10B (USD) 10,000+
## 139 FL $1B to $5B (USD) 10,000+
## 140 TX More than $10B (USD) 10,000+
## 141 NE $1B to $5B (USD) 10,000+
## 142 TX
## 143 MN Less than $1B (USD) 10,000+
## 144 GA $5B to $10B (USD) 10,000+
## 145 VA 10,000+
## 146 CA More than $10B (USD) 10,000+
## 147 VA
## 148 CA More than $10B (USD) 10,000+
## 149 NC Less than $1B (USD) 10,000+
## 150 CO
## 151 WI
## 152 USA
## 153 MD Less than 10,000
## 154 CA 10,000+
## 155 NM
## 156 GA Less than $1B (USD) Less than 10,000
## 157 GA $5B to $10B (USD) 10,000+
## 158 TX More than $10B (USD) 10,000+
## 159 TX More than $10B (USD) 10,000+
## 160 FL More than $10B (USD) Less than 10,000
## 161 AZ 10,000+
## 162 MI 10,000+
## 163 AZ Less than $1B (USD) 10,000+
## 164 OH $1B to $5B (USD) Less than 10,000
## 165 VA Less than 10,000
## 166 CO Less than 10,000
## 167 CO Less than 10,000
## 168 NC $1B to $5B (USD) 10,000+
## 169 NY More than $10B (USD) 10,000+
## 170 GA Less than $1B (USD) Less than 10,000
## 171 CA
## 172 OH
## 173 OH
## 174 TX 10,000+
## 175 VA
## 176 GA
## 177 VA $1B to $5B (USD) Less than 10,000
## 178 IN More than $10B (USD) 10,000+
## 179 IN More than $10B (USD) 10,000+
## 180 IN More than $10B (USD) 10,000+
## 181 AR $5B to $10B (USD) 10,000+
## 182 MI More than $10B (USD) 10,000+
## 183 MD
## 184 TX Less than $1B (USD) Less than 10,000
## 185 NJ
## 186 PA
## 187 CO
## 188 TN
## 189 IL
## 190 AL Less than 10,000
## 191 AL Less than 10,000
## 192 PA
## 193 CA Less than $1B (USD) Less than 10,000
## 194 NC $5B to $10B (USD) 10,000+
## 195 MD More than $10B (USD) 10,000+
## 196 IL $5B to $10B (USD) 10,000+
## 197 MD
## 198 AZ
## 199 CO 10,000+
## 200 CT More than $10B (USD) 10,000+
## 201 CO Less than 10,000
## 202 MD
## 203 VA More than $10B (USD) 10,000+
## 204 NV $1B to $5B (USD) 10,000+
## 205 VA 10,000+
## 206 MD
## 207 WA
## 208 MO 10,000+
## 209 CO
## 210 CO
## 211 CA
## 212 AL Less than 10,000
## 213 VA $5B to $10B (USD) 10,000+
## 214 NY More than $10B (USD) 10,000+
## 215 TN
## 216 GA
## 217 GA
## 218 TX
## 219 MD
## 220 VA Less than 10,000
## 221 NY
## 222 NY Less than 10,000
## 223 MA
## 224 IL
## 225 DC
## 226 TX
## 227 VA Less than 10,000
## 228 NV More than $10B (USD) 10,000+
## 229 CA
## 230 MA
## 231 DC
## 232 PA
## 233 GA
## 234 NV $1B to $5B (USD) 10,000+
## 235 MD
## 236 WA
## 237 MO 10,000+
## 238 CA
## 239 AZ 10,000+
## 240 VA 10,000+
## 241 CO
## 242 VA
## 243 NY
## 244 MA
## 245 CA $5B to $10B (USD) 10,000+
## 246 TN
## 247 PA
## 248 GA
## 249 IL
## 250 VA 10,000+
## 251 CO
## 252 NY
## 253 MA More than $10B (USD) 10,000+
## 254 CA
## 255 TX Less than 10,000
## 256 CA
## 257 NY $1B to $5B (USD) 10,000+
## 258 MA
## 259 CA
## 260 VA
## 261 MA
## 262 NY
## 263 OR More than $10B (USD) 10,000+
## 264 IL
## 265 CA $1B to $5B (USD) Less than 10,000
## 266 VA 10,000+
## 267 GA
## 268 FL
## 269 KS Less than $1B (USD) Less than 10,000
## 270 CA More than $10B (USD) 10,000+
## 271 MA
## 272 TX $1B to $5B (USD) Less than 10,000
## 273 OR More than $10B (USD) 10,000+
## 274 WA
## 275 MA
## 276 OR Less than 10,000
## 277 MA $5B to $10B (USD) Less than 10,000
## 278 TX 10,000+
## 279 AZ
## 280 TX More than $10B (USD) 10,000+
## 281 FL
## 282 TX
## 283 MA
## 284 KS More than $10B (USD) 10,000+
## 285 NJ
## 286 NJ
## 287 CA
## 288 USA More than $10B (USD) 10,000+
## 289 MI $5B to $10B (USD) 10,000+
## 290 IN
## 291 CA
## 292 NJ More than $10B (USD) 10,000+
## 293 USA More than $10B (USD) 10,000+
## 294 CA
## 295 TX
## 296 MA
## 297 WA More than $10B (USD) 10,000+
## 298 CA
## 299 CA Less than $1B (USD) Less than 10,000
## 300 VA
## 301 GA
## 302 TX
## 303 WA Less than $1B (USD) Less than 10,000
## 304 WA $5B to $10B (USD) 10,000+
## 305 IA
## 306 KY
## 307 FL
## 308 AR More than $10B (USD) 10,000+
## 309 GA 10,000+
## 310 TX $1B to $5B (USD) Less than 10,000
## 311 CA More than $10B (USD) 10,000+
## 312 CA
## 313 CT
## 314 MN
## 315 GA More than $10B (USD) 10,000+
## 316 GA More than $10B (USD) 10,000+
## 317 IL
## 318 FL 10,000+
## 319 MN
## 320 SC More than $10B (USD) 10,000+
## 321 GA
## 322 REMOTE
## 323 VA Less than $1B (USD) Less than 10,000
## 324 OH More than $10B (USD) 10,000+
## 325 CA More than $10B (USD) 10,000+
## 326 MI
## 327 NC More than $10B (USD) 10,000+
## 328 AR More than $10B (USD) 10,000+
## 329 NE
## 330 FL Less than 10,000
## 331 AR
## 332 NY
## 333 USA More than $10B (USD) 10,000+
## 334 TX
## 335 TX 10,000+
## 336 CA
## 337 MI
## 338 GA
## 339 NY More than $10B (USD) 10,000+
## 340 TX
## 341 DC Less than 10,000
## 342 GA $5B to $10B (USD) 10,000+
## 343 MD
## 344 NE
## 345 NY $5B to $10B (USD) 10,000+
## 346 TX
## 347 IL
## 348 MD $5B to $10B (USD) 10,000+
## 349 GA More than $10B (USD) 10,000+
## 350 WA More than $10B (USD) 10,000+
## 351 CA
## 352 IA
## 353 MA $1B to $5B (USD) Less than 10,000
## 354 PA $5B to $10B (USD) 10,000+
## 355 MN More than $10B (USD) 10,000+
## 356 MO
## 357 CA
## 358 CO Less than 10,000
## 359 OH
## 360 CA 10,000+
## 361 IL
## 362 MI Less than 10,000
## 363 KS $1B to $5B (USD) Less than 10,000
## 364 MA More than $10B (USD) 10,000+
## 365 GA More than $10B (USD) 10,000+
## 366 FL More than $10B (USD) 10,000+
## 367 VA $5B to $10B (USD) 10,000+
## 368 WA Less than $1B (USD) Less than 10,000
## 369 IL
## 370 WA More than $10B (USD) 10,000+
## 371 NJ
## 372 CA Less than 10,000
## 373 CA
## 374 MN Less than $1B (USD) 10,000+
## 375 MN $1B to $5B (USD) 10,000+
## 376 NY More than $10B (USD) 10,000+
## 377 MI More than $10B (USD) 10,000+
## 378 WI $1B to $5B (USD) 10,000+
## 379 VA
## 380 VA $5B to $10B (USD) 10,000+
## 381 VA $5B to $10B (USD) 10,000+
## 382 MA
## 383 VA
## 384 CA More than $10B (USD) 10,000+
## 385 NY 10,000+
## 386 WA More than $10B (USD) 10,000+
## 387 CA
## 388 MD
## 389 IL
## 390 OH
## 391 NC
## 392 IL $1B to $5B (USD) 10,000+
## 393 DE Less than $1B (USD) Less than 10,000
## 394 MO
## 395 CO 10,000+
## 396 CT $1B to $5B (USD) Less than 10,000
## 397 WA More than $10B (USD) 10,000+
## 398 IN
## 399 VA Less than $1B (USD) 10,000+
## 400 WA More than $10B (USD) 10,000+
## 401 WA More than $10B (USD) 10,000+
## 402 TX More than $10B (USD) 10,000+
## 403 MA
## 404 VA
## 405 VA Less than $1B (USD) Less than 10,000
## 406 GA More than $10B (USD) 10,000+
## 407 IL More than $10B (USD) 10,000+
## 408 NC
## 409 IL
## 410 TX 10,000+
## 411 OH More than $10B (USD) 10,000+
## 412 MA
## 413 IL Less than 10,000
## 414 WA Less than $1B (USD) Less than 10,000
## 415 NY
## 416 VA
## 417 AZ $5B to $10B (USD) 10,000+
## 418 AZ Less than 10,000
## 419 CA
## 420 CA
## 421 CO More than $10B (USD) 10,000+
## 422 AR More than $10B (USD) 10,000+
## 423 DC
## 424 CA
## 425 OR More than $10B (USD) 10,000+
## 426 VA
## 427 TX
## 428 SC $5B to $10B (USD) 10,000+
## 429 CA Less than $1B (USD) Less than 10,000
## 430 IL More than $10B (USD) 10,000+
## 431 NJ
## 432 USA
## 433 VA $1B to $5B (USD) 10,000+
## 434 CA
## 435 AZ More than $10B (USD) 10,000+
## 436 VA
## 437 CA Less than 10,000
## 438 VA
## 439 HI $5B to $10B (USD) 10,000+
## 440 USA
## 441 CA More than $10B (USD) 10,000+
## 442 NV $5B to $10B (USD) 10,000+
## 443 TX More than $10B (USD) 10,000+
## 444 NJ
## 445 NJ
## 446 FL $1B to $5B (USD) Less than 10,000
## 447 CA More than $10B (USD) 10,000+
## 448 TX $5B to $10B (USD) 10,000+
## 449 CA More than $10B (USD) 10,000+
## 450 VA More than $10B (USD) 10,000+
## 451 MA Less than $1B (USD) Less than 10,000
## 452 IL
## 453 CO 10,000+
## 454 HI $5B to $10B (USD) 10,000+
## 455 WA
## 456 CA $5B to $10B (USD) 10,000+
## 457 MI More than $10B (USD) 10,000+
## 458 NY
## 459 VA $5B to $10B (USD) 10,000+
## 460 MI
## 461 MI
## 462 TX 10,000+
## 463 VA Less than 10,000
## 464 VA More than $10B (USD) 10,000+
## 465 IN
## 466 WA Less than 10,000
## 467 MO 10,000+
## 468 TX
## 469 IL
## 470 MA
## 471 CA More than $10B (USD) 10,000+
## 472 TX $1B to $5B (USD) Less than 10,000
## 473 CA More than $10B (USD) 10,000+
## 474 VA More than $10B (USD) 10,000+
## 475 NC
## 476 TX $5B to $10B (USD) 10,000+
## 477 TX
## 478 WI Less than 10,000
## 479 MO More than $10B (USD) 10,000+
## 480 CA $5B to $10B (USD) 10,000+
## 481 NC $5B to $10B (USD) 10,000+
## 482 ID More than $10B (USD) 10,000+
## 483 GA More than $10B (USD) 10,000+
## 484 OH
## 485 TX More than $10B (USD) 10,000+
## 486 AZ Less than 10,000
## 487 OH More than $10B (USD) 10,000+
## 488 OH
## 489 MD $5B to $10B (USD) 10,000+
## 490 GA More than $10B (USD) 10,000+
## 491 GA More than $10B (USD) 10,000+
## 492 MN More than $10B (USD) 10,000+
## 493 DC
## 494 NC
## 495 WI Less than 10,000
## 496 CT Less than 10,000
## 497 AR More than $10B (USD) 10,000+
## 498 AR More than $10B (USD) 10,000+
## 499 WA
## 500 VA
## Company_Industry python sql machine learning r hadoop
## 1 1 1 1 1 0
## 2 1 1 0 1 0
## 3 Government 0 0 0 0 0
## 4 Banks and Financial Services 0 0 0 1 0
## 5 0 0 1 0 0
## 6 Government 1 1 1 1 0
## 7 0 1 1 1 0
## 8 Education and Schools 1 0 0 1 0
## 9 Education and Schools 1 0 1 1 0
## 10 Education and Schools 1 0 1 1 0
## 11 Education and Schools 0 0 1 0 0
## 12 1 0 1 0 0
## 13 Consulting and Business Services 1 0 1 0 0
## 14 1 1 1 1 0
## 15 Consulting and Business Services 1 1 1 1 0
## 16 Energy and Utilities 0 0 1 0 0
## 17 Education and Schools 0 0 1 0 0
## 18 Health Care 1 0 1 1 0
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## 21 Government 0 1 0 0 0
## 22 Consulting and Business Services 0 1 0 0 0
## 23 Consulting and Business Services 1 0 0 1 0
## 24 Health Care 1 0 1 1 0
## 25 Internet and Software 0 0 0 0 0
## 26 Internet and Software 0 0 0 0 0
## 27 Government 1 0 1 0 0
## 28 Internet and Software 0 0 1 0 0
## 29 1 1 1 1 0
## 30 Internet and Software 0 0 0 0 0
## 31 Education and Schools 1 1 1 1 0
## 32 Internet and Software 0 0 0 0 0
## 33 Internet and Software 0 0 1 0 0
## 34 Education and Schools 0 0 0 0 0
## 35 Internet and Software 1 0 1 0 1
## 36 Health Care 0 0 0 0 0
## 37 Health Care 1 1 0 1 0
## 38 Transport and Freight 1 1 1 1 0
## 39 Internet and Software 0 0 1 0 1
## 40 Internet and Software 0 0 1 0 1
## 41 0 0 1 0 0
## 42 Organization 0 0 1 0 0
## 43 Aerospace and Defense 1 0 1 0 0
## 44 0 0 1 0 0
## 45 Consulting and Business Services 1 0 1 1 0
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## 47 Telecommunications 0 0 0 0 0
## 48 Retail 0 1 0 1 0
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## 50 Energy and Utilities 0 0 1 0 0
## 51 Government 0 0 1 0 0
## 52 Retail 0 1 0 1 0
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## 54 Internet and Software 1 1 1 1 0
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## 57 Retail 1 1 1 1 0
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## 63 Banks and Financial Services 0 0 1 0 0
## 64 Internet and Software 1 1 1 0 0
## 65 Insurance 1 1 1 1 0
## 66 Health Care 0 0 1 1 0
## 67 1 1 1 1 1
## 68 1 1 1 1 1
## 69 Consulting and Business Services 1 0 0 1 0
## 70 Insurance 0 1 1 1 0
## 71 Insurance 0 0 0 0 0
## 72 Retail 1 1 1 0 0
## 73 1 1 1 1 0
## 74 Consumer Goods and Services 1 1 1 1 0
## 75 1 0 1 1 0
## 76 0 0 0 0 0
## 77 0 1 0 0 0
## 78 Government 0 0 0 0 0
## 79 Retail 1 1 0 1 0
## 80 Health Care 1 1 1 1 0
## 81 Government 1 0 0 0 0
## 82 0 0 1 0 0
## 83 Energy and Utilities 0 1 0 0 0
## 84 Education and Schools 0 0 1 0 0
## 85 0 1 0 0 0
## 86 Banks and Financial Services 1 1 1 1 0
## 87 Internet and Software 0 0 1 0 1
## 88 Insurance 1 1 1 1 0
## 89 1 1 1 0 0
## 90 1 1 0 1 0
## 91 Restaurants, Travel and Leisure 0 1 1 1 0
## 92 1 1 0 1 0
## 93 Telecommunications 1 0 0 1 0
## 94 0 1 1 1 0
## 95 Education and Schools 1 1 1 1 0
## 96 Banks and Financial Services 1 1 1 1 0
## 97 1 1 0 1 1
## 98 Consulting and Business Services 1 1 1 1 0
## 99 Internet and Software 1 1 1 1 0
## 100 Banks and Financial Services 1 1 1 1 0
## 101 1 1 1 1 1
## 102 Pharmaceuticals 1 1 0 1 0
## 103 Government 1 1 0 0 0
## 104 Education and Schools 1 1 1 1 0
## 105 1 0 0 1 0
## 106 1 1 0 0 0
## 107 1 0 0 1 0
## 108 1 1 1 1 0
## 109 Consulting and Business Services 1 1 0 1 0
## 110 Banks and Financial Services 1 0 0 1 0
## 111 0 0 1 0 0
## 112 0 0 0 1 0
## 113 Internet and Software 0 0 1 0 0
## 114 1 0 1 1 0
## 115 1 0 1 1 0
## 116 Banks and Financial Services 0 0 1 0 0
## 117 Retail 0 1 0 1 0
## 118 1 1 1 1 0
## 119 Energy and Utilities 0 0 1 0 0
## 120 Health Care 1 1 1 1 1
## 121 0 0 1 0 0
## 122 Consulting and Business Services 1 0 1 1 0
## 123 Industrial Manufacturing 1 0 1 1 0
## 124 Health Care 0 0 1 1 0
## 125 1 1 0 1 0
## 126 1 1 0 1 0
## 127 1 0 1 1 0
## 128 Education and Schools 0 0 0 1 0
## 129 0 1 0 1 0
## 130 Consulting and Business Services 0 0 0 0 0
## 131 Media, News and Publishing 0 1 0 1 0
## 132 Banks and Financial Services 0 1 0 0 0
## 133 1 0 0 0 0
## 134 1 1 0 1 0
## 135 Energy and Utilities 0 0 1 0 0
## 136 0 0 0 0 0
## 137 1 0 0 1 0
## 138 Health Care 0 0 1 0 0
## 139 Energy and Utilities 0 1 1 1 0
## 140 Telecommunications 0 0 1 0 0
## 141 Telecommunications 1 1 1 1 0
## 142 Health Care 0 0 0 1 0
## 143 Health Care 0 0 0 0 0
## 144 Banks and Financial Services 0 1 0 0 0
## 145 Consulting and Business Services 1 1 0 1 0
## 146 Health Care 1 1 1 1 0
## 147 1 0 1 1 1
## 148 Computers and Electronics 1 0 1 1 0
## 149 Banks and Financial Services 1 1 1 1 0
## 150 Health Care 1 1 1 1 1
## 151 Industrial Manufacturing 1 1 1 0 0
## 152 1 1 1 1 0
## 153 1 0 1 1 0
## 154 Health Care 1 1 1 1 0
## 155 Education and Schools 0 0 0 1 0
## 156 Consulting and Business Services 1 0 1 0 0
## 157 Banks and Financial Services 0 1 0 0 0
## 158 Insurance 1 0 1 0 0
## 159 Consulting and Business Services 0 0 0 0 0
## 160 Health Care 1 1 1 1 1
## 161 Health Care 1 1 0 1 0
## 162 Auto 1 0 1 1 0
## 163 Consulting and Business Services 1 0 1 1 0
## 164 Industrial Manufacturing 0 1 0 1 0
## 165 Consulting and Business Services 0 0 0 0 0
## 166 Aerospace and Defense 1 1 0 1 0
## 167 Aerospace and Defense 1 1 0 1 0
## 168 Transport and Freight 1 0 1 1 0
## 169 Banks and Financial Services 0 0 1 0 1
## 170 Consulting and Business Services 1 0 1 0 0
## 171 0 0 1 0 0
## 172 1 1 0 1 0
## 173 1 1 0 1 0
## 174 Internet and Software 1 1 1 1 1
## 175 0 0 0 0 0
## 176 Consulting and Business Services 1 1 1 0 0
## 177 Real Estate 1 1 1 1 1
## 178 Industrial Manufacturing 1 0 1 1 0
## 179 Industrial Manufacturing 1 0 1 1 0
## 180 Industrial Manufacturing 1 0 1 1 0
## 181 Transport and Freight 0 0 1 1 0
## 182 Auto 1 1 1 0 1
## 183 Health Care 0 1 0 1 0
## 184 Education and Schools 0 0 1 0 0
## 185 0 0 0 0 0
## 186 Consulting and Business Services 1 1 1 0 0
## 187 Government 1 0 0 1 0
## 188 Consulting and Business Services 1 1 1 0 0
## 189 Consulting and Business Services 1 1 1 0 0
## 190 Aerospace and Defense 1 1 0 1 0
## 191 Aerospace and Defense 1 1 0 1 0
## 192 Health Care 1 1 0 1 0
## 193 Health Care 1 1 0 0 0
## 194 Consulting and Business Services 1 0 1 1 1
## 195 Aerospace and Defense 1 1 0 1 0
## 196 Internet and Software 1 0 0 1 0
## 197 Human Resources and Staffing 1 1 0 1 0
## 198 1 0 1 1 0
## 199 Consulting and Business Services 1 0 0 0 0
## 200 Insurance 1 1 1 1 1
## 201 Aerospace and Defense 1 1 0 1 0
## 202 0 0 1 1 0
## 203 Auto 1 1 1 0 0
## 204 Consulting and Business Services 1 1 1 1 0
## 205 Consulting and Business Services 1 1 0 1 0
## 206 1 1 1 1 0
## 207 Internet and Software 1 1 1 1 0
## 208 Consulting and Business Services 1 1 0 1 0
## 209 Consulting and Business Services 1 1 1 0 0
## 210 Consulting and Business Services 1 1 1 0 0
## 211 0 0 1 0 0
## 212 Aerospace and Defense 1 1 0 1 0
## 213 Aerospace and Defense 1 1 1 0 1
## 214 Industrial Manufacturing 0 0 1 0 0
## 215 Health Care 0 1 0 0 0
## 216 Consulting and Business Services 1 1 1 0 0
## 217 Consulting and Business Services 1 1 1 0 0
## 218 Consulting and Business Services 1 1 1 0 0
## 219 0 0 1 0 0
## 220 Consulting and Business Services 0 0 0 0 0
## 221 Consulting and Business Services 1 1 1 0 0
## 222 Consulting and Business Services 1 1 0 1 1
## 223 0 0 1 0 0
## 224 Consulting and Business Services 1 1 1 0 0
## 225 Consulting and Business Services 1 1 1 0 0
## 226 Consulting and Business Services 1 1 1 0 0
## 227 Aerospace and Defense 1 1 0 1 0
## 228 Industrial Manufacturing 1 1 1 1 0
## 229 Aerospace and Defense 1 0 1 0 0
## 230 1 0 1 0 0
## 231 Consulting and Business Services 1 1 1 0 0
## 232 Consulting and Business Services 1 1 1 0 0
## 233 Consulting and Business Services 1 1 1 0 0
## 234 Consulting and Business Services 1 1 1 1 0
## 235 Consulting and Business Services 1 1 1 0 0
## 236 Consulting and Business Services 1 1 1 0 0
## 237 Consulting and Business Services 1 1 0 1 1
## 238 Aerospace and Defense 1 0 1 0 0
## 239 Consulting and Business Services 1 1 1 1 1
## 240 Consulting and Business Services 1 1 0 1 0
## 241 Consulting and Business Services 1 1 1 0 0
## 242 Consulting and Business Services 1 1 1 0 0
## 243 0 0 1 0 0
## 244 Education and Schools 1 1 1 1 0
## 245 Internet and Software 1 0 1 0 1
## 246 Banks and Financial Services 0 0 0 0 0
## 247 1 1 0 1 1
## 248 Consulting and Business Services 1 1 1 0 0
## 249 Consulting and Business Services 1 1 1 0 0
## 250 Consulting and Business Services 0 0 0 0 0
## 251 Consulting and Business Services 1 1 1 0 0
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## 500 0 0 0 0Experimented with the tibble func below for the first time. Tibbles have a refined print method that shows only the first 10 rows, and all the columns that fit on screen. This makes it much easier to work with large data.
jobs_listinfo <- as_tibble(jobs_list)
jobs_listinfo## # A tibble: 500 x 43
## MyUnknownColumn Job_Title Link Queried_Salary Job_Type Skill No_of_Skills
## <chr> <chr> <chr> <chr> <chr> <chr> <int>
## 1 1 Data Sci~ http~ <80000 data_sc~ ['Ma~ 5
## 2 2 Data Sci~ http~ <80000 data_sc~ ['Da~ 9
## 3 3 Graduate~ http~ <80000 data_sc~ ['Ce~ 1
## 4 4 Data Sci~ http~ <80000 data_sc~ ['St~ 7
## 5 5 Data Sci~ http~ <80000 data_sc~ ['AI~ 6
## 6 6 Geospati~ http~ <80000 data_sc~ ['St~ 10
## 7 7 Data Sci~ http~ <80000 data_sc~ ['Ma~ 3
## 8 8 Bioinfor~ http~ <80000 data_sc~ ['Li~ 4
## 9 10 Data Sci~ http~ <80000 data_sc~ ['Ma~ 8
## 10 11 Data Sci~ http~ <80000 data_sc~ ['Ma~ 8
## # ... with 490 more rows, and 36 more variables: Company <chr>,
## # No_of_Reviews <chr>, No_of_Stars <chr>, Date_Since_Posted <int>,
## # Description <chr>, Location <chr>, Company_Revenue <chr>,
## # Company_Employees <chr>, Company_Industry <chr>, python <chr>, sql <chr>,
## # `machine learning` <chr>, r <chr>, hadoop <chr>, tableau <chr>, sas <chr>,
## # spark <chr>, java <int>, Others <int>, CA <int>, NY <int>, VA <int>,
## # TX <int>, MA <int>, IL <int>, WA <int>, MD <int>, DC <int>, NC <int>,
## # Other_states <int>, `Consulting and Business Services` <int>, `Internet and
## # Software` <int>, `Banks and Financial Services` <int>, `Health Care` <int>,
## # Insurance <int>, Other_industries <int>Note the use of the conflicted library below was helpful in tackling a difficult issue of knitting to html with the rename func used in our R code. Similarly from assignment 2, it is ideal for us to rename often time certain data which is not easy to understand/or to better the appearance of certain data such as columns. Also note the dplyr::rename being utilized in this scenario.
library(conflicted)
library(dplyr)
jobs_listinfo9 <- dplyr::rename(jobs_listinfo,"Title"="Job_Title",
"Salary" = "Queried_Salary",
"Type" = "Job_Type",
"ID" = "MyUnknownColumn"
)
print(jobs_listinfo9)## # A tibble: 500 x 43
## ID Title Link Salary Type Skill No_of_Skills Company No_of_Reviews
## <chr> <chr> <chr> <chr> <chr> <chr> <int> <chr> <chr>
## 1 1 Data~ http~ <80000 data~ ['Ma~ 5 Money ~ ""
## 2 2 Data~ http~ <80000 data~ ['Da~ 9 comSco~ "62.0"
## 3 3 Grad~ http~ <80000 data~ ['Ce~ 1 Centra~ "158.0"
## 4 4 Data~ http~ <80000 data~ ['St~ 7 Federa~ "495.0"
## 5 5 Data~ http~ <80000 data~ ['AI~ 6 Nation~ "173.0"
## 6 6 Geos~ http~ <80000 data~ ['St~ 10 NYC Ca~ "30.0"
## 7 7 Data~ http~ <80000 data~ ['Ma~ 3 OM Par~ ""
## 8 8 Bioi~ http~ <80000 data~ ['Li~ 4 Univer~ "233.0"
## 9 10 Data~ http~ <80000 data~ ['Ma~ 8 The Un~ "541.0"
## 10 11 Data~ http~ <80000 data~ ['Ma~ 8 The Un~ "541.0"
## # ... with 490 more rows, and 34 more variables: No_of_Stars <chr>,
## # Date_Since_Posted <int>, Description <chr>, Location <chr>,
## # Company_Revenue <chr>, Company_Employees <chr>, Company_Industry <chr>,
## # python <chr>, sql <chr>, `machine learning` <chr>, r <chr>, hadoop <chr>,
## # tableau <chr>, sas <chr>, spark <chr>, java <int>, Others <int>, CA <int>,
## # NY <int>, VA <int>, TX <int>, MA <int>, IL <int>, WA <int>, MD <int>,
## # DC <int>, NC <int>, Other_states <int>, `Consulting and Business
## # Services` <int>, `Internet and Software` <int>, `Banks and Financial
## # Services` <int>, `Health Care` <int>, Insurance <int>,
## # Other_industries <int>