In this project I’ll be scraping a job hosting website to glean information that can be used to determine what the most valuable skills are in Data Science.
I had previously pursued setting up an API with Upwork to get data there, but it didn’t pan out as their API is set to benefit those hiring, not those seeking work.
# linking to the careerbuilder site with "Data Science" having been filled into the keyword space on the initial space.
careerbuilder <- read_html("https://www.careerbuilder.com/jobs-data-science?keywords=Data+Science&location=")
careerbuilder## {xml_document}
## <html lang="en">
## [1] <head>\n<meta http-equiv="Content-Type" content="text/html; charset= ...
## [2] <body class="">\n\n<noscript>\n<iframe height="0" src="//www.googlet ...job_titles <- html_nodes(careerbuilder, ".show-for-medium-up a")
job1 <- job_titles[1]
cat(str_wrap(job1, width = 50))## Warning in stri_split_lines(str): argument is not an atomic vector;
## coercing## <a data-gtm="jrp-job-list|job-title-click|
## 1" data-job-did="J3V5MC6THSTFGZ2DWLR"
## data-company-did="C8G4BM6CJXF10K0QXPL"
## href="/job/J3V5MC6THSTFGZ2DWLR?
## ipath=JRG1&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv">Associate
## Director - Methodologist / Statistician - Advanced
## Analytics</a># get urls
urls <- careerbuilder %>%
html_nodes(".show-for-medium-up a") %>% # get the CSS nodes
html_attr("href") # extract the URLs
# get job titles
links <- careerbuilder %>%
html_nodes(".show-for-medium-up a") %>% # get the CSS nodes
html_text() # extract the job name
# Combine `links` and `urls` into a data.frame
jb <- data.frame(links = links, urls = urls, stringsAsFactors = FALSE)
head(jb)## links
## 1 Associate Director - Methodologist / Statistician - Advanced Analytics
## 2 Product Manager | Data Science | Applications
## 3 Data Science & Tagging Analyst
## 4 Data Science Expert
## 5 Expert Data Science and Tagging Analyst
## 6 Analyst I, Data Science
## urls
## 1 /job/J3V5MC6THSTFGZ2DWLR?ipath=JRG1&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 2 /job/J3W5HS5VMY0LS7JDFFN?ipath=JRG2&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 3 /job/J3T1WC62RM7DTW29FDR?ipath=JRG3&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 4 /job/J3S3X275Z853ZZKQ0LK?ipath=JRG4&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 5 /job/J3M16L635MWPKDBLPVL?ipath=JRG5&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 6 /job/J3V75H5XYKB4ZRLHVL6?ipath=JRG6&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsvpages <- seq(2,12)
cbp <- sprintf("https://www.careerbuilder.com/jobs-data-science?page_number=%s",pages)
for(i in seq(nrow(cbp))) {
urls <- read_html(cbp[i]) %>% # read a page
html_nodes(".show-for-medium-up a") %>%
html_attr("href")
links <- urls %>% html_nodes(".show-for-medium-up a") %>% html_text()
jb <- bind_rows(jb, (data.frame(links = links, urls = urls, stringsAsFactors = FALSE)))
}
jb## links
## 1 Associate Director - Methodologist / Statistician - Advanced Analytics
## 2 Product Manager | Data Science | Applications
## 3 Data Science & Tagging Analyst
## 4 Data Science Expert
## 5 Expert Data Science and Tagging Analyst
## 6 Analyst I, Data Science
## 7 Principal Statistical Analyst / Data Scientist
## 8 Lead Predictive Modeler (Data Scientist)
## 9 Statistician/ Data Scientist Level IV with TS/SCI clearance
## 10 Principal Statistician
## 11 Statistical Analyst
## 12 Data Science Lead, Senior
## 13 Data Methodologist / Senior Statistician
## 14 SAS Statistical Analyst
## 15 Statistical Consultant, Senior
## 16 Data scientist / Machine learning Engg
## 17 Senior Statistical Analyst
## 18 Statistical Research Specialist
## 19 Bioanalytical Statistician
## 20 Biometrician II / Biometrician III
## 21 Advanced Analytics Modeler (Corporate Office - Maryland)
## 22 Sr. Predictive Modeling Analyst
## 23 Senior Manager, Statistical Methodology
## 24 Statistician II
## 25 Senior Statistician
## urls
## 1 /job/J3V5MC6THSTFGZ2DWLR?ipath=JRG1&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 2 /job/J3W5HS5VMY0LS7JDFFN?ipath=JRG2&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 3 /job/J3T1WC62RM7DTW29FDR?ipath=JRG3&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 4 /job/J3S3X275Z853ZZKQ0LK?ipath=JRG4&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 5 /job/J3M16L635MWPKDBLPVL?ipath=JRG5&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 6 /job/J3V75H5XYKB4ZRLHVL6?ipath=JRG6&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 7 /job/J3Q2PL6H2ZRTBW1KXRH?ipath=JRG7&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 8 /job/J3W0C06CQ3VW27SLK36?ipath=JRG8&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 9 /job/J3R3G963Q22CBZN1SD5?ipath=JRG9&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 10 /job/J3R33D5W853B4VXH5L3?ipath=JRG10&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 11 /job/J3N429773Y5JGH4VXSQ?ipath=JRG11&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 12 /job/J3P5DZ76CJZHNR0YB9M?ipath=JRG12&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 13 /job/J3N6VV5ZJ6GKVCR34HX?ipath=JRG13&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 14 /job/J3K68170CBTJW7GKBLS?ipath=JRG14&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 15 /job/J3R0T86SKDMKMN376G0?ipath=JRG15&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 16 /job/J8Q1K976K8CLR4B4KC9?ipath=JRG16&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 17 /job/J3N81J6JP326LBFVH7Z?ipath=JRG17&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 18 /job/J3P5995XPGMSZRMR745?ipath=JRG18&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 19 /job/J3P4V368LBK1QVPD3L6?ipath=JRG19&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 20 /job/J3S3N576DX27J17XZQZ?ipath=JRG20&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 21 /job/J3Q6WJ6K23T1M0F4HZH?ipath=JRG21&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 22 /job/J3R2SF697G9BMH9LSQK?ipath=JRG22&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 23 /job/J3V7JH65GBZHN1G29W1?ipath=JRG23&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 24 /job/J3W1PB6ZYK0VTT26VL1?ipath=JRG24&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 25 /job/J3R7KD69952PPJ030RB?ipath=JRG25&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsvI know there are more elegant ways to do what’s below but operational efficiencies require that I focus my resources elsewhere.
cb <- read_html("https://www.careerbuilder.com/jobs-data-science?page_number=2")
urls <- cb %>% html_nodes(".show-for-medium-up a") %>% html_attr("href")
links <- cb %>% html_nodes(".show-for-medium-up a") %>% html_text()
nj <- data.frame(links = links, urls = urls, stringsAsFactors = FALSE)
jb <- rbind(jb, nj)
cb <- read_html("https://www.careerbuilder.com/jobs-data-science?page_number=3")
urls <- cb %>% html_nodes(".show-for-medium-up a") %>% html_attr("href")
links <- cb %>% html_nodes(".show-for-medium-up a") %>% html_text()
nj <- data.frame(links = links, urls = urls, stringsAsFactors = FALSE)
jb <- rbind(jb, nj)
cb <- read_html("https://www.careerbuilder.com/jobs-data-science?page_number=4")
urls <- cb %>% html_nodes(".show-for-medium-up a") %>% html_attr("href")
links <- cb %>% html_nodes(".show-for-medium-up a") %>% html_text()
nj <- data.frame(links = links, urls = urls, stringsAsFactors = FALSE)
jb <- rbind(jb, nj)
cb <- read_html("https://www.careerbuilder.com/jobs-data-science?page_number=5")
urls <- cb %>% html_nodes(".show-for-medium-up a") %>% html_attr("href")
links <- cb %>% html_nodes(".show-for-medium-up a") %>% html_text()
nj <- data.frame(links = links, urls = urls, stringsAsFactors = FALSE)
jb <- rbind(jb, nj)
cb <- read_html("https://www.careerbuilder.com/jobs-data-science?page_number=6")
urls <- cb %>% html_nodes(".show-for-medium-up a") %>% html_attr("href")
links <- cb %>% html_nodes(".show-for-medium-up a") %>% html_text()
nj <- data.frame(links = links, urls = urls, stringsAsFactors = FALSE)
jb <- rbind(jb, nj)
cb <- read_html("https://www.careerbuilder.com/jobs-data-science?page_number=7")
urls <- cb %>% html_nodes(".show-for-medium-up a") %>% html_attr("href")
links <- cb %>% html_nodes(".show-for-medium-up a") %>% html_text()
nj <- data.frame(links = links, urls = urls, stringsAsFactors = FALSE)
jb <- rbind(jb, nj)
cb <- read_html("https://www.careerbuilder.com/jobs-data-science?page_number=8")
urls <- cb %>% html_nodes(".show-for-medium-up a") %>% html_attr("href")
links <- cb %>% html_nodes(".show-for-medium-up a") %>% html_text()
nj <- data.frame(links = links, urls = urls, stringsAsFactors = FALSE)
jb <- rbind(jb, nj)
cb <- read_html("https://www.careerbuilder.com/jobs-data-science?page_number=9")
urls <- cb %>% html_nodes(".show-for-medium-up a") %>% html_attr("href")
links <- cb %>% html_nodes(".show-for-medium-up a") %>% html_text()
nj <- data.frame(links = links, urls = urls, stringsAsFactors = FALSE)
jb <- rbind(jb, nj)
cb <- read_html("https://www.careerbuilder.com/jobs-data-science?page_number=10")
urls <- cb %>% html_nodes(".show-for-medium-up a") %>% html_attr("href")
links <- cb %>% html_nodes(".show-for-medium-up a") %>% html_text()
nj <- data.frame(links = links, urls = urls, stringsAsFactors = FALSE)
jb <- rbind(jb, nj)
cb <- read_html("https://www.careerbuilder.com/jobs-data-science?page_number=11")
urls <- cb %>% html_nodes(".show-for-medium-up a") %>% html_attr("href")
links <- cb %>% html_nodes(".show-for-medium-up a") %>% html_text()
nj <- data.frame(links = links, urls = urls, stringsAsFactors = FALSE)
jb <- rbind(jb, nj)
cb <- read_html("https://www.careerbuilder.com/jobs-data-science?page_number=12")
urls <- cb %>% html_nodes(".show-for-medium-up a") %>% html_attr("href")
links <- cb %>% html_nodes(".show-for-medium-up a") %>% html_text()
nj <- data.frame(links = links, urls = urls, stringsAsFactors = FALSE)
jb <- rbind(jb, nj)jb## links
## 1 Associate Director - Methodologist / Statistician - Advanced Analytics
## 2 Product Manager | Data Science | Applications
## 3 Data Science & Tagging Analyst
## 4 Data Science Expert
## 5 Expert Data Science and Tagging Analyst
## 6 Analyst I, Data Science
## 7 Principal Statistical Analyst / Data Scientist
## 8 Lead Predictive Modeler (Data Scientist)
## 9 Statistician/ Data Scientist Level IV with TS/SCI clearance
## 10 Principal Statistician
## 11 Statistical Analyst
## 12 Data Science Lead, Senior
## 13 Data Methodologist / Senior Statistician
## 14 SAS Statistical Analyst
## 15 Statistical Consultant, Senior
## 16 Data scientist / Machine learning Engg
## 17 Senior Statistical Analyst
## 18 Statistical Research Specialist
## 19 Bioanalytical Statistician
## 20 Biometrician II / Biometrician III
## 21 Advanced Analytics Modeler (Corporate Office - Maryland)
## 22 Sr. Predictive Modeling Analyst
## 23 Senior Manager, Statistical Methodology
## 24 Statistician II
## 25 Senior Statistician
## 26 APPLIED STATISTICIAN - SENIOR
## 27 Statistics and Probability Analyst
## 28 Senior Data Scientist
## 29 Data Scientist
## 30 Marketing Data Scientist
## 31 Data Scientist
## 32 Open Data Platforms Data Strategist
## 33 Data Scientist
## 34 Chief Data Scientist
## 35 Data Scientist
## 36 Data Scientist
## 37 Data Scientist
## 38 Big Data Scientist
## 39 Data Scientist
## 40 New Opening: Data Scientist in Rockville - 18-11736
## 41 Senior Data Scientist - Machine Learning
## 42 Data Scientist
## 43 Data Scientist - Big Data
## 44 Data Scientist Journeyman
## 45 Data Scientist - Senior
## 46 Analytics Data Scientist - Machine Learning
## 47 Data Scientist
## 48 Data Scientist/ Engineer
## 49 Data Scientists
## 50 Data Scientist III(Big Data)
## 51 Data Scientist
## 52 Data Scientist
## 53 Data Scientist
## 54 Data Scientist - Expert
## 55 Data Scientist
## 56 Data Scientist
## 57 Data Scientist
## 58 Data Scientist
## 59 Data Scientist
## 60 Data Scientist
## 61 Data Scientist
## 62 Data Scientist
## 63 Data Scientist
## 64 Data Scientist
## 65 Data Scientist
## 66 Data Scientist
## 67 Data Scientist
## 68 Data Scientist
## 69 Principal Data Scientist
## 70 DATA SCIENTIST - INTERMEDIATE
## 71 Machine Learning Engineer / Data Scientist
## 72 Senior Data Scientist, Advanced Analytics
## 73 Data Scientist
## 74 Data Scientist
## 75 Lead Data Scientist
## 76 Data Scientist IV
## 77 Senior Data Scientist (Marketing)
## 78 Lead Data Scientist
## 79 Data Scientist
## 80 Services Data Scientist
## 81 Data Scientist
## 82 Data Scientist (Python, R, Machine Learning)
## 83 DATA SCIENTIST - SENIOR
## 84 Data Scientist
## 85 Data Scientist II
## 86 Data Scientist
## 87 Data Scientist (USMC)
## 88 Sr. Data Scientist
## 89 Data Strategist, Senior
## 90 Data Scientist
## 91 Sr. Data Scientist
## 92 Data Scientist
## 93 Computer Vision Data Scientist
## 94 Data Scientist
## 95 Data Scientist
## 96 Data Scientist
## 97 Senior Data Scientist
## 98 Proteomics Data Scientist
## 99 Data Scientist
## 100 Data Scientist
## 101 Data Scientist
## 102 Data Scientist (Corporate)
## 103 Data Scientist
## 104 Data Scientist III
## 105 Data Scientist
## 106 Data Scientist
## 107 Senior Data Scientist
## 108 Data Scientist
## 109 Data Science Engineer
## 110 Sr Data Scientist
## 111 Senior Marketing Data Scientist
## 112 Data Scientist
## 113 Data Scientist
## 114 Data Scientist
## 115 Data Scientist
## 116 Senior Data Scientist - Pricing & Inventory Models
## 117 Data Scientist/Data Mining
## 118 Biostatistician
## 119 Data Scientist
## 120 Sr. Data Scientist
## 121 Data Scientist - Stable Company - 150K
## 122 Data Scientist
## 123 Data Scientist
## 124 Data Scientist
## 125 Data Scientist
## 126 Senior Data Scientist
## 127 Data Scientist
## 128 Senior Data Scientist
## 129 Machine Learning Data Scientist II-III (778-600)
## 130 Statistician
## 131 Lead Data Scientist
## 132 Marketing Senior Data Scientist
## 133 Data Scientist - Machine learning
## 134 Data Scientist
## 135 Data Scientist
## 136 Operational Excellence Analyst-Role can be remote-based
## 137 Data Scientist
## 138 Senior Data Scientist
## 139 Data Scientist
## 140 Data Scientist, Lead
## 141 Data Scientist, Senior
## 142 Senior Statistician Clinical Development
## 143 Sr. Engineer - Artificial Intelligence
## 144 Senior Big Data Scientist - Boston, MA - $130-150K
## 145 AWS Big Data Scientist - New York - $150K
## 146 Data Scientist/Analyst, Lead
## 147 Senior Data Scientist-NYC-$160k-200k
## 148 Operations Research - Data Analyst
## 149 Machine Learning Research Scientist
## 150 Senior Data Scientist
## 151 Data Scientist/Machine Learning Engineer, Lead
## 152 Data Scientist
## 153 Data Science/Operations Research Analyst, Mid
## 154 Senior Data Scientist
## 155 Computer Science Data Scientist
## 156 Machine Learning and Artificial Intelligence Scientist W2
## 157 Data Scientist-NYC-$150k+ bonus
## 158 Sr. Data Scientist
## 159 Data Scientist
## 160 Operations Data Analyst(Advanced Analytics Analyst Sr)-PS13298
## 161 Operations Data Analyst
## 162 Arity - Senior Data Scientist
## 163 SR Data Scientist
## 164 Biostatistician (SC4)
## 165 Continuous Improvement Analyst
## 166 Principal Machine Learning Research Scientist
## 167 Machine Learning Lead Engineer
## 168 Data Scientist
## 169 Data Scientist
## 170 Machine Learning Engineer, Senior
## 171 Staff (Senior level) Biostatistician
## 172 Data scientist
## 173 Senior Data Scientist
## 174 Biostatistician II
## 175 Data Engineer Machine Learning
## 176 Data Scientist (Quantitative)
## 177 SIGINT Data Scientist, Senior
## 178 Chief Scientist,Artificial Intelligence & Game Theory (AIGT)
## 179 Taxonomist
## 180 Senior Data Scientist
## 181 Data Scientist
## 182 Sr. Data Scientist - MMX/MTA
## 183 Sr. Data Scientist
## 184 Chief Data Scientist
## 185 Biostatistician
## 186 Data Scientist
## 187 Senior Mission/Operations Data Analyst
## 188 Data Scientist with Machine Learning
## 189 Service Operations Analyst
## 190 Lead Engineer, Sports Science IoT Algorithm Dev.
## 191 Service Operations Analyst
## 192 Machine Learning Engineer
## 193 Machine Learning Engineer
## 194 Analyst, Research
## 195 Sr. Computer Scientist
## 196 Reliability Engineer
## 197 Reliability Engineer
## 198 Cyber Ops Research Analyst
## 199 Cyber Ops Research Analyst III
## 200 Cyber Ops Research Analyst I
## 201 Reliability Engineer
## 202 R&D Engineer 3
## 203 Sr. Operations Research Analyst
## 204 ADAS Algorithm Developer
## 205 Reliability Engineer IV
## 206 Operations Research Analyst Technical Specialist
## 207 Distinguished Engineer - Artificial Intelligence & Machine Learning
## 208 R&D Engineer
## 209 R&D Engineer
## 210 Operations Research Analyst
## 211 Operations Research Analyst
## 212 Operations Analyst
## 213 Process Analyst - Falls Church, VA - Secret
## 214 IT Process Analyst
## 215 Operations Analyst
## 216 Machine Learning Software Engineer
## 217 Biostatistician
## 218 IT Process Analyst
## 219 Machine Learning/Data Engineer-160k-Chicago
## 220 Operation Research Analyst
## 221 Summer Intern Biostatistics and Data Sciences Statistician
## 222 Data Science Intern
## 223 Software Engineer Machine Learning
## 224 Senior Tableau Engineer
## 225 Financial Data Analyst
## 226 Data Science -2019 Summer Intern
## 227 Associate Actuary
## 228 Finance Analyst
## 229 Installations Mission Capacity Analyst
## 230 Senior Financial Analyst
## 231 Government Actuarial Consultant
## 232 Data Science Intern (Summer 2019)
## 233 Financial Systems Analyst
## 234 Financial Support Senior Analyst
## 235 Biostatistician
## 236 Senior Analyst, Payer Operations
## 237 Senior Financial Analyst
## 238 Financial Analyst
## 239 Senior Treasury Analyst
## 240 Senior Finance Analyst
## 241 Portfolio Analyst-Fixed Income-Omaha, NE
## 242 Financial Analyst
## 243 Biostatistician
## 244 Financial Analyst
## 245 Financial Analyst I - III
## 246 Sr. Financial Analyst
## 247 Senior Financial Analyst
## 248 Predictive Modeling Analyst Technical Specialist
## 249 Predictive Modeling Analyst III
## 250 Sr. Financial Analyst
## 251 Senior Financial/Operations Analyst
## 252 Senior Financial Analyst
## 253 Senior Financial Analyst - Operations
## 254 Financial Analyst
## 255 SSP Revenue & Reconciliation Analyst
## 256 Senior Finance Administrator
## 257 Junior Data Scientist
## 258 Senior Software Engineer, Machine Learning
## 259 Operations Analyst
## 260 Financial Data Analyst
## 261 Senior Financial Operations Analyst
## 262 Financial Analyst
## 263 Senior Financial Analyst
## 264 Divisional Statistician
## 265 Financial Analyst Job in Fort Washington, PA
## 266 SAS Data Analyst
## 267 Statistician III
## 268 Financial Analyst Job in Rancho Cordova Area
## 269 Principal Engineer (Python, APIs, AWS)
## 270 Statistician - NJ
## 271 Financial Analyst
## 272 Senior Health Care Financial Analyst
## 273 Sr. Healthcare Revenue Analyst- Network Development & Acquisitions
## 274 Senior Finance Analyst
## 275 Process Improvement Analyst I/II
## 276 Statistical Analyst
## 277 IT Financial Planning Analyst
## 278 Financial Analyst
## 279 Financial Analysts
## 280 Senior Retirement Consulting Actuarial Analyst
## 281 Performance Improvement Specialist
## 282 Financial/Business Analysts
## 283 Senior Financial Analyst
## 284 Junior Data Scientist (0-5 years)
## 285 5213 - Finance Analyst Supervisor - Finance Department (Financial Transactions Division)
## 286 Financial/Data Analyst (11288-417)
## 287 Sr. Splunk Engineer
## 288 Assistant Actuary
## 289 Financial Analyst | WSLS
## 290 Sr Financial Analyst - (Modeling)
## 291 Analyst - Financial Cost
## 292 HEOR Modeler
## 293 Clinical Project Statistician
## 294 Senior Financial Analyst
## 295 Performance Analyst
## 296 Predictive Modeler II
## 297 Senior Financial Analyst - 21806 ACCT
## 298 Financial Analyst
## 299 Financial Analyst
## 300 Senior Financial Analyst, FP&A
## urls
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## 46 /job/J3W48B6P67VQ5LHBF4L?ipath=JRG46&keywords=data+science&searchid=4d818bdb-0d48-489b-96c2-5a5970b616b4%3AAPAb7ISdxwYu3MN9fsLbf9SCwTmQAw%2B%2FDg%3D%3D&siteid=cbnsv
## 47 /job/J3T27377HFMGWTQQ2GV?ipath=JRG47&keywords=data+science&searchid=4d818bdb-0d48-489b-96c2-5a5970b616b4%3AAPAb7ISdxwYu3MN9fsLbf9SCwTmQAw%2B%2FDg%3D%3D&siteid=cbnsv
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## 59 /job/J3V3XD6L2WQYZS4M05L?ipath=JRG59&keywords=data+science&searchid=02364deb-30b9-4e06-9525-d64723b89bae%3AAPAb7IRvKT6x%2FHhQ33c09mxk3hlHNa6gFw%3D%3D&siteid=cbnsv
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## 230 /job/J3V0NM64X0JSJXC8B9X?ipath=JRGU230&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 231 /job/J3Q11S6YGDMCSS45ZW1?ipath=JRGU231&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 232 /job/J3W2ZN6Q5N7FRX94SF6?ipath=JRGU232&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 233 /job/J3Q45H6WF666984TTM2?ipath=JRGU233&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 234 /job/J3S4FK6026ZQXLDHK3R?ipath=JRGU234&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 235 /job/JD81R46YQZS229L62W2?ipath=JRGU235&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 236 /job/J3M50G6J3XG3FVBX9MC?ipath=JRGU236&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 237 /job/J3M0NC6YW4CZF3TQNCK?ipath=JRGU237&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 238 /job/J3Q2KF613J3C2BY7QXW?ipath=JRGU238&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 239 /job/J3M78G5YLDKS4Y3M29X?ipath=JRGU239&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 240 /job/J3N252763C6PBR710X1?ipath=JRGU240&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 241 /job/J3N0Q86MXQ7CXDKZK78?ipath=JRGU241&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 242 /job/J3W5JN6NSL88JWMPFHT?ipath=JRGU242&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 243 /job/J2S5LZ75JKKQF9S25ZY?ipath=JRGU243&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 244 /job/J3W5FM6TJ9WQ3W249MW?ipath=JRGU244&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 245 /job/J3P2DQ75N8CQL496ZWW?ipath=JRGU245&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 246 /job/J3P5TQ73CL2NHRQZK36?ipath=JRGU246&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 247 /job/J3M60864QZVHVSFJ3YM?ipath=JRGU247&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 248 /job/J3M6SN6HPPBH1GSX7RY?ipath=JRGU248&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 249 /job/J3R6M25W629NGSYYLY0?ipath=JRGU249&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 250 /job/J3N8F26BWJ2G6RJNYW1?ipath=JRGU250&keywords=data+science&searchid=3f0d6162-f3b5-4796-b54b-cb93a198a31f%3AAPAb7IQOR4z4jPqslDIRDUtwFIX3tvElWg%3D%3D&siteid=cbnsv
## 251 /job/J3M0RY7124Y29MG129T?ipath=JRG251&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 252 /job/J3V06K6H5VLDY1G6JNN?ipath=JRG252&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 253 /job/J2R14260GQ640MCTL3B?ipath=JRG253&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 254 /job/J3N0186RX1R6YS3NSR9?ipath=JRG254&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 255 /job/J3Q7MJ6K9CKXV8QY43L?ipath=JRG255&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 256 /job/J3Q2VJ67S4K32VY6SVJ?ipath=JRG256&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 257 /job/J3N37B70X59T5YD2Y9C?ipath=JRG257&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 258 /job/J3Q41P6Z76YYYDG1SBC?ipath=JRG258&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 259 /job/J3T4Z36JPZ5XPTW05TD?ipath=JRG259&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 260 /job/J3W6HG5WHYR1J3VFCPN?ipath=JRG260&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 261 /job/J3T18Y6KFBRX5J9KLRQ?ipath=JRG261&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 262 /job/J3Q7CG6RFVGD67LW7NL?ipath=JRG262&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 263 /job/J3Q2556H8B78Z046LSV?ipath=JRG263&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 264 /job/J2S0Q664YV68PVD7R6Y?ipath=JRG264&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 265 /job/J3Q00G78FHN9V163GTG?ipath=JRG265&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 266 /job/J3P2T26SJN577Y7PXV1?ipath=JRG266&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 267 /job/J2N2K364KTMKGPK77D7?ipath=JRG267&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 268 /job/J3Q3H97758NQ7Y5VZ96?ipath=JRG268&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 269 /job/J3W2SK6J7NDWPDYDGQ7?ipath=JRG269&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 270 /job/J3S0T26TR28G64DMS41?ipath=JRG270&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 271 /job/JHP0SY67TVMMHTS443D?ipath=JRG271&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 272 /job/JD64J374XHT5GZG7C1R?ipath=JRG272&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 273 /job/J2N45G6HP8DTSTMY094?ipath=JRG273&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 274 /job/J3V7WS6T6P66TJLXGMG?ipath=JRG274&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 275 /job/J3S3X776M8SQWPMNY1Q?ipath=JRG275&keywords=data+science&searchid=83e9a347-8c37-4003-9206-42639de111a2%3AAPAb7IQgcStosA39PE3J2%2FzgzJYDM7AmAg%3D%3D&siteid=cbnsv
## 276 /job/J3V23G6LP3D8NHKWYHT?ipath=JRG276&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 277 /job/J3S7WF695H08S2VD09W?ipath=JRG277&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 278 /job/J3M29578M90FXGZ5DC2?ipath=JRG278&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 279 /job/J3N61V6DS915YCTGDS8?ipath=JRG279&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 280 /job/J3M7V96H9208PSHQFJ0?ipath=JRG280&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 281 /job/J3Q8FV6Y801ZPQKQSQT?ipath=JRG281&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 282 /job/JD96CT67RTL5MW3LJP8?ipath=JRG282&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 283 /job/J3V7HQ6DBKZYY51NW29?ipath=JRG283&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 284 /job/JHP7V66YJH73SD6H28V?ipath=JRG284&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 285 /job/J3V1X763YN06PMJDC46?ipath=JRG285&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 286 /job/J3Q5KP7950V101L8VTT?ipath=JRG286&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 287 /job/J3Q78C6L0ZH2LGNYQPX?ipath=JRG287&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 288 /job/J3W24P6NJ0ZZG73NC3M?ipath=JRG288&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 289 /job/J3N3HZ6ZQFVDQSSL3F3?ipath=JRG289&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 290 /job/J2P4V76WTMJBSFGX5YP?ipath=JRG290&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 291 /job/J3R6BV6YZT5002G362C?ipath=JRG291&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 292 /job/J3R36163ZHZ4Z4WCD4T?ipath=JRG292&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 293 /job/J3W3C779PV16GLS0QVX?ipath=JRG293&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 294 /job/JCL31M65P9LF32KHYXW?ipath=JRG294&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 295 /job/JD94HT76WXNKWM8QP66?ipath=JRG295&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 296 /job/J3P79B6Y48YG9L7KTQQ?ipath=JRG296&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 297 /job/J3T6F065YPJ813DSD1Z?ipath=JRG297&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 298 /job/J3T74L6QLJ3DSNFQ87F?ipath=JRG298&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 299 /job/J3373S6SBVG3B7Y725D?ipath=JRG299&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsv
## 300 /job/J3Q61Y73J99N1XWMGGN?ipath=JRG300&keywords=data+science&searchid=c36c77e9-10a6-4093-91fe-643f14a1f4a6%3AAPAb7ISNlXXhRT5LJiRhzUWJb1B%2FoggP%2Bg%3D%3D&siteid=cbnsvjobbank <- jb
jobbank$url <- paste0("http://www.careerbuilder.com",jobbank$urls)
jobbank <- data.frame(jobbank$links,jobbank$url, stringsAsFactors = FALSE)
colnames(jobbank) <- c("Job Title", "urls")
head(jobbank)## Job Title
## 1 Associate Director - Methodologist / Statistician - Advanced Analytics
## 2 Product Manager | Data Science | Applications
## 3 Data Science & Tagging Analyst
## 4 Data Science Expert
## 5 Expert Data Science and Tagging Analyst
## 6 Analyst I, Data Science
## urls
## 1 http://www.careerbuilder.com/job/J3V5MC6THSTFGZ2DWLR?ipath=JRG1&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 2 http://www.careerbuilder.com/job/J3W5HS5VMY0LS7JDFFN?ipath=JRG2&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 3 http://www.careerbuilder.com/job/J3T1WC62RM7DTW29FDR?ipath=JRG3&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 4 http://www.careerbuilder.com/job/J3S3X275Z853ZZKQ0LK?ipath=JRG4&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 5 http://www.careerbuilder.com/job/J3M16L635MWPKDBLPVL?ipath=JRG5&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsv
## 6 http://www.careerbuilder.com/job/J3V75H5XYKB4ZRLHVL6?ipath=JRG6&keywords=data+science&searchid=e6d6211a-7f01-4c6a-90cd-200aa3a614f7%3AAPAb7IRew6GVDOLmD%2FqUw2RrCNTjMubVQA%3D%3D&siteid=cbnsvUsed SelectorGadget to find relevant items: node .description p xpath=//*[contains(concat( " “, @class,” " ), concat( " “,”description“,” " ))]//p
Now I’ll loop through each url in the jobbank dataframe and pull the text under these nodes
description <- data.frame("job_id"=seq(1,nrow(jobbank)), jobbank$`Job Title`,"job_desc1" = seq(1,nrow(jobbank)), "job_ind" = seq(1,nrow(jobbank)), jobbank$urls, stringsAsFactors = FALSE)
for(i in seq(nrow(jobbank))) {
description$job_desc1[i] <- read_html(jobbank$urls[i]) %>% # read a page
html_nodes(".columns.item") %>% # find the text
html_text()
description$job_ind[i] <- read_html(jobbank$urls[i]) %>%
html_nodes("#job-industry") %>% # job industry
html_text()
} # remove "\nJob Description\n\" from the front of each line in job_desc1 and the \ns at the end of each line
description$jobdesc <- str_sub(description$job_desc1, 19L, -3L)
# remove "\n" from front and back of each line of industry
description$industry <- str_sub(description$job_ind, 2L, -2L)
jobdf <- select(description, "job_id", "jobbank..Job.Title.", "industry", "jobdesc") # create a new DF
jobdf## job_id
## 1 1
## 2 2
## 3 3
## 4 4
## 5 5
## 6 6
## 7 7
## 8 8
## 9 9
## 10 10
## 11 11
## 12 12
## 13 13
## 14 14
## 15 15
## 16 16
## 17 17
## 18 18
## 19 19
## 20 20
## 21 21
## 22 22
## 23 23
## 24 24
## 25 25
## 26 26
## 27 27
## 28 28
## 29 29
## 30 30
## 31 31
## 32 32
## 33 33
## 34 34
## 35 35
## 36 36
## 37 37
## 38 38
## 39 39
## 40 40
## 41 41
## 42 42
## 43 43
## 44 44
## 45 45
## 46 46
## 47 47
## 48 48
## 49 49
## 50 50
## 51 51
## 52 52
## 53 53
## 54 54
## 55 55
## 56 56
## 57 57
## 58 58
## 59 59
## 60 60
## 61 61
## 62 62
## 63 63
## 64 64
## 65 65
## 66 66
## 67 67
## 68 68
## 69 69
## 70 70
## 71 71
## 72 72
## 73 73
## 74 74
## 75 75
## 76 76
## 77 77
## 78 78
## 79 79
## 80 80
## 81 81
## 82 82
## 83 83
## 84 84
## 85 85
## 86 86
## 87 87
## 88 88
## 89 89
## 90 90
## 91 91
## 92 92
## 93 93
## 94 94
## 95 95
## 96 96
## 97 97
## 98 98
## 99 99
## 100 100
## 101 101
## 102 102
## 103 103
## 104 104
## 105 105
## 106 106
## 107 107
## 108 108
## 109 109
## 110 110
## 111 111
## 112 112
## 113 113
## 114 114
## 115 115
## 116 116
## 117 117
## 118 118
## 119 119
## 120 120
## 121 121
## 122 122
## 123 123
## 124 124
## 125 125
## 126 126
## 127 127
## 128 128
## 129 129
## 130 130
## 131 131
## 132 132
## 133 133
## 134 134
## 135 135
## 136 136
## 137 137
## 138 138
## 139 139
## 140 140
## 141 141
## 142 142
## 143 143
## 144 144
## 145 145
## 146 146
## 147 147
## 148 148
## 149 149
## 150 150
## 151 151
## 152 152
## 153 153
## 154 154
## 155 155
## 156 156
## 157 157
## 158 158
## 159 159
## 160 160
## 161 161
## 162 162
## 163 163
## 164 164
## 165 165
## 166 166
## 167 167
## 168 168
## 169 169
## 170 170
## 171 171
## 172 172
## 173 173
## 174 174
## 175 175
## 176 176
## 177 177
## 178 178
## 179 179
## 180 180
## 181 181
## 182 182
## 183 183
## 184 184
## 185 185
## 186 186
## 187 187
## 188 188
## 189 189
## 190 190
## 191 191
## 192 192
## 193 193
## 194 194
## 195 195
## 196 196
## 197 197
## 198 198
## 199 199
## 200 200
## 201 201
## 202 202
## 203 203
## 204 204
## 205 205
## 206 206
## 207 207
## 208 208
## 209 209
## 210 210
## 211 211
## 212 212
## 213 213
## 214 214
## 215 215
## 216 216
## 217 217
## 218 218
## 219 219
## 220 220
## 221 221
## 222 222
## 223 223
## 224 224
## 225 225
## 226 226
## 227 227
## 228 228
## 229 229
## 230 230
## 231 231
## 232 232
## 233 233
## 234 234
## 235 235
## 236 236
## 237 237
## 238 238
## 239 239
## 240 240
## 241 241
## 242 242
## 243 243
## 244 244
## 245 245
## 246 246
## 247 247
## 248 248
## 249 249
## 250 250
## 251 251
## 252 252
## 253 253
## 254 254
## 255 255
## 256 256
## 257 257
## 258 258
## 259 259
## 260 260
## 261 261
## 262 262
## 263 263
## 264 264
## 265 265
## 266 266
## 267 267
## 268 268
## 269 269
## 270 270
## 271 271
## 272 272
## 273 273
## 274 274
## 275 275
## 276 276
## 277 277
## 278 278
## 279 279
## 280 280
## 281 281
## 282 282
## 283 283
## 284 284
## 285 285
## 286 286
## 287 287
## 288 288
## 289 289
## 290 290
## 291 291
## 292 292
## 293 293
## 294 294
## 295 295
## 296 296
## 297 297
## 298 298
## 299 299
## 300 300
## jobbank..Job.Title.
## 1 Associate Director - Methodologist / Statistician - Advanced Analytics
## 2 Product Manager | Data Science | Applications
## 3 Data Science & Tagging Analyst
## 4 Data Science Expert
## 5 Expert Data Science and Tagging Analyst
## 6 Analyst I, Data Science
## 7 Principal Statistical Analyst / Data Scientist
## 8 Lead Predictive Modeler (Data Scientist)
## 9 Statistician/ Data Scientist Level IV with TS/SCI clearance
## 10 Principal Statistician
## 11 Statistical Analyst
## 12 Data Science Lead, Senior
## 13 Data Methodologist / Senior Statistician
## 14 SAS Statistical Analyst
## 15 Statistical Consultant, Senior
## 16 Data scientist / Machine learning Engg
## 17 Senior Statistical Analyst
## 18 Statistical Research Specialist
## 19 Bioanalytical Statistician
## 20 Biometrician II / Biometrician III
## 21 Advanced Analytics Modeler (Corporate Office - Maryland)
## 22 Sr. Predictive Modeling Analyst
## 23 Senior Manager, Statistical Methodology
## 24 Statistician II
## 25 Senior Statistician
## 26 APPLIED STATISTICIAN - SENIOR
## 27 Statistics and Probability Analyst
## 28 Senior Data Scientist
## 29 Data Scientist
## 30 Marketing Data Scientist
## 31 Data Scientist
## 32 Open Data Platforms Data Strategist
## 33 Data Scientist
## 34 Chief Data Scientist
## 35 Data Scientist
## 36 Data Scientist
## 37 Data Scientist
## 38 Big Data Scientist
## 39 Data Scientist
## 40 New Opening: Data Scientist in Rockville - 18-11736
## 41 Senior Data Scientist - Machine Learning
## 42 Data Scientist
## 43 Data Scientist - Big Data
## 44 Data Scientist Journeyman
## 45 Data Scientist - Senior
## 46 Analytics Data Scientist - Machine Learning
## 47 Data Scientist
## 48 Data Scientist/ Engineer
## 49 Data Scientists
## 50 Data Scientist III(Big Data)
## 51 Data Scientist
## 52 Data Scientist
## 53 Data Scientist
## 54 Data Scientist - Expert
## 55 Data Scientist
## 56 Data Scientist
## 57 Data Scientist
## 58 Data Scientist
## 59 Data Scientist
## 60 Data Scientist
## 61 Data Scientist
## 62 Data Scientist
## 63 Data Scientist
## 64 Data Scientist
## 65 Data Scientist
## 66 Data Scientist
## 67 Data Scientist
## 68 Data Scientist
## 69 Principal Data Scientist
## 70 DATA SCIENTIST - INTERMEDIATE
## 71 Machine Learning Engineer / Data Scientist
## 72 Senior Data Scientist, Advanced Analytics
## 73 Data Scientist
## 74 Data Scientist
## 75 Lead Data Scientist
## 76 Data Scientist IV
## 77 Senior Data Scientist (Marketing)
## 78 Lead Data Scientist
## 79 Data Scientist
## 80 Services Data Scientist
## 81 Data Scientist
## 82 Data Scientist (Python, R, Machine Learning)
## 83 DATA SCIENTIST - SENIOR
## 84 Data Scientist
## 85 Data Scientist II
## 86 Data Scientist
## 87 Data Scientist (USMC)
## 88 Sr. Data Scientist
## 89 Data Strategist, Senior
## 90 Data Scientist
## 91 Sr. Data Scientist
## 92 Data Scientist
## 93 Computer Vision Data Scientist
## 94 Data Scientist
## 95 Data Scientist
## 96 Data Scientist
## 97 Senior Data Scientist
## 98 Proteomics Data Scientist
## 99 Data Scientist
## 100 Data Scientist
## 101 Data Scientist
## 102 Data Scientist (Corporate)
## 103 Data Scientist
## 104 Data Scientist III
## 105 Data Scientist
## 106 Data Scientist
## 107 Senior Data Scientist
## 108 Data Scientist
## 109 Data Science Engineer
## 110 Sr Data Scientist
## 111 Senior Marketing Data Scientist
## 112 Data Scientist
## 113 Data Scientist
## 114 Data Scientist
## 115 Data Scientist
## 116 Senior Data Scientist - Pricing & Inventory Models
## 117 Data Scientist/Data Mining
## 118 Biostatistician
## 119 Data Scientist
## 120 Sr. Data Scientist
## 121 Data Scientist - Stable Company - 150K
## 122 Data Scientist
## 123 Data Scientist
## 124 Data Scientist
## 125 Data Scientist
## 126 Senior Data Scientist
## 127 Data Scientist
## 128 Senior Data Scientist
## 129 Machine Learning Data Scientist II-III (778-600)
## 130 Statistician
## 131 Lead Data Scientist
## 132 Marketing Senior Data Scientist
## 133 Data Scientist - Machine learning
## 134 Data Scientist
## 135 Data Scientist
## 136 Operational Excellence Analyst-Role can be remote-based
## 137 Data Scientist
## 138 Senior Data Scientist
## 139 Data Scientist
## 140 Data Scientist, Lead
## 141 Data Scientist, Senior
## 142 Senior Statistician Clinical Development
## 143 Sr. Engineer - Artificial Intelligence
## 144 Senior Big Data Scientist - Boston, MA - $130-150K
## 145 AWS Big Data Scientist - New York - $150K
## 146 Data Scientist/Analyst, Lead
## 147 Senior Data Scientist-NYC-$160k-200k
## 148 Operations Research - Data Analyst
## 149 Machine Learning Research Scientist
## 150 Senior Data Scientist
## 151 Data Scientist/Machine Learning Engineer, Lead
## 152 Data Scientist
## 153 Data Science/Operations Research Analyst, Mid
## 154 Senior Data Scientist
## 155 Computer Science Data Scientist
## 156 Machine Learning and Artificial Intelligence Scientist W2
## 157 Data Scientist-NYC-$150k+ bonus
## 158 Sr. Data Scientist
## 159 Data Scientist
## 160 Operations Data Analyst(Advanced Analytics Analyst Sr)-PS13298
## 161 Operations Data Analyst
## 162 Arity - Senior Data Scientist
## 163 SR Data Scientist
## 164 Biostatistician (SC4)
## 165 Continuous Improvement Analyst
## 166 Principal Machine Learning Research Scientist
## 167 Machine Learning Lead Engineer
## 168 Data Scientist
## 169 Data Scientist
## 170 Machine Learning Engineer, Senior
## 171 Staff (Senior level) Biostatistician
## 172 Data scientist
## 173 Senior Data Scientist
## 174 Biostatistician II
## 175 Data Engineer Machine Learning
## 176 Data Scientist (Quantitative)
## 177 SIGINT Data Scientist, Senior
## 178 Chief Scientist,Artificial Intelligence & Game Theory (AIGT)
## 179 Taxonomist
## 180 Senior Data Scientist
## 181 Data Scientist
## 182 Sr. Data Scientist - MMX/MTA
## 183 Sr. Data Scientist
## 184 Chief Data Scientist
## 185 Biostatistician
## 186 Data Scientist
## 187 Senior Mission/Operations Data Analyst
## 188 Data Scientist with Machine Learning
## 189 Service Operations Analyst
## 190 Lead Engineer, Sports Science IoT Algorithm Dev.
## 191 Service Operations Analyst
## 192 Machine Learning Engineer
## 193 Machine Learning Engineer
## 194 Analyst, Research
## 195 Sr. Computer Scientist
## 196 Reliability Engineer
## 197 Reliability Engineer
## 198 Cyber Ops Research Analyst
## 199 Cyber Ops Research Analyst III
## 200 Cyber Ops Research Analyst I
## 201 Reliability Engineer
## 202 R&D Engineer 3
## 203 Sr. Operations Research Analyst
## 204 ADAS Algorithm Developer
## 205 Reliability Engineer IV
## 206 Operations Research Analyst Technical Specialist
## 207 Distinguished Engineer - Artificial Intelligence & Machine Learning
## 208 R&D Engineer
## 209 R&D Engineer
## 210 Operations Research Analyst
## 211 Operations Research Analyst
## 212 Operations Analyst
## 213 Process Analyst - Falls Church, VA - Secret
## 214 IT Process Analyst
## 215 Operations Analyst
## 216 Machine Learning Software Engineer
## 217 Biostatistician
## 218 IT Process Analyst
## 219 Machine Learning/Data Engineer-160k-Chicago
## 220 Operation Research Analyst
## 221 Summer Intern Biostatistics and Data Sciences Statistician
## 222 Data Science Intern
## 223 Software Engineer Machine Learning
## 224 Senior Tableau Engineer
## 225 Financial Data Analyst
## 226 Data Science -2019 Summer Intern
## 227 Associate Actuary
## 228 Finance Analyst
## 229 Installations Mission Capacity Analyst
## 230 Senior Financial Analyst
## 231 Government Actuarial Consultant
## 232 Data Science Intern (Summer 2019)
## 233 Financial Systems Analyst
## 234 Financial Support Senior Analyst
## 235 Biostatistician
## 236 Senior Analyst, Payer Operations
## 237 Senior Financial Analyst
## 238 Financial Analyst
## 239 Senior Treasury Analyst
## 240 Senior Finance Analyst
## 241 Portfolio Analyst-Fixed Income-Omaha, NE
## 242 Financial Analyst
## 243 Biostatistician
## 244 Financial Analyst
## 245 Financial Analyst I - III
## 246 Sr. Financial Analyst
## 247 Senior Financial Analyst
## 248 Predictive Modeling Analyst Technical Specialist
## 249 Predictive Modeling Analyst III
## 250 Sr. Financial Analyst
## 251 Senior Financial/Operations Analyst
## 252 Senior Financial Analyst
## 253 Senior Financial Analyst - Operations
## 254 Financial Analyst
## 255 SSP Revenue & Reconciliation Analyst
## 256 Senior Finance Administrator
## 257 Junior Data Scientist
## 258 Senior Software Engineer, Machine Learning
## 259 Operations Analyst
## 260 Financial Data Analyst
## 261 Senior Financial Operations Analyst
## 262 Financial Analyst
## 263 Senior Financial Analyst
## 264 Divisional Statistician
## 265 Financial Analyst Job in Fort Washington, PA
## 266 SAS Data Analyst
## 267 Statistician III
## 268 Financial Analyst Job in Rancho Cordova Area
## 269 Principal Engineer (Python, APIs, AWS)
## 270 Statistician - NJ
## 271 Financial Analyst
## 272 Senior Health Care Financial Analyst
## 273 Sr. Healthcare Revenue Analyst- Network Development & Acquisitions
## 274 Senior Finance Analyst
## 275 Process Improvement Analyst I/II
## 276 Statistical Analyst
## 277 IT Financial Planning Analyst
## 278 Financial Analyst
## 279 Financial Analysts
## 280 Senior Retirement Consulting Actuarial Analyst
## 281 Performance Improvement Specialist
## 282 Financial/Business Analysts
## 283 Senior Financial Analyst
## 284 Junior Data Scientist (0-5 years)
## 285 5213 - Finance Analyst Supervisor - Finance Department (Financial Transactions Division)
## 286 Financial/Data Analyst (11288-417)
## 287 Sr. Splunk Engineer
## 288 Assistant Actuary
## 289 Financial Analyst | WSLS
## 290 Sr Financial Analyst - (Modeling)
## 291 Analyst - Financial Cost
## 292 HEOR Modeler
## 293 Clinical Project Statistician
## 294 Senior Financial Analyst
## 295 Performance Analyst
## 296 Predictive Modeler II
## 297 Senior Financial Analyst - 21806 ACCT
## 298 Financial Analyst
## 299 Financial Analyst
## 300 Senior Financial Analyst, FP&A
## industry
## 1 Other Great Industries
## 2 Computer Hardware, Computer Software
## 3 Other Great Industries
## 4 Other Great Industries
## 5 Other Great Industries
## 6 Healthcare - Health Services
## 7 Other Great Industries
## 8 Other Great Industries
## 9 Computer Software, Defense - Aerospace, Telecommunications
## 10 Manufacturing, Pharmaceutical
## 11 Other Great Industries
## 12 Consulting
## 13 Other Great Industries
## 14 Computer Software
## 15 Banking - Financial Services
## 16 Computer Hardware
## 17 Other Great Industries
## 18 Library Science
## 19 Biotechnology, Pharmaceutical
## 20 Other Great Industries
## 21 Hotel - Resort
## 22 Other Great Industries
## 23 Other Great Industries
## 24 Accounting - Finance, Not for Profit - Charitable, Other Great Industries
## 25 Accounting - Finance, Banking - Financial Services, Credit - Loan - Collections
## 26 Other Great Industries
## 27 Consulting
## 28 Computer Software
## 29 Other Great Industries
## 30 Internet - ECommerce
## 31 Food
## 32 Consulting
## 33 Consulting
## 34 Consumer Products
## 35 Other Great Industries
## 36 Other Great Industries
## 37 Other Great Industries
## 38 Computer Hardware, Computer Software, Employment - Recruiting - Staffing
## 39 Retail
## 40 Computer Software
## 41 Computer Software
## 42 Computer Software
## 43 Computer Hardware, Computer Software, Employment - Recruiting - Staffing
## 44 Other Great Industries
## 45 Other Great Industries
## 46 Other Great Industries
## 47 Other Great Industries
## 48 Computer Software, Manufacturing, Oil Refining - Petroleum - Drilling
## 49 Employment - Recruiting - Staffing
## 50 Telecommunications
## 51 Consumer Products, HVAC, Telecommunications
## 52 Other Great Industries
## 53 Insurance
## 54 Other Great Industries
## 55 Employment - Recruiting - Staffing
## 56 Internet - ECommerce
## 57 Banking - Financial Services, Electronics, Internet - ECommerce
## 58 Computer Software, Other Great Industries
## 59 Packaging, Transportation
## 60 Banking - Financial Services
## 61 Telecommunications, Other Great Industries
## 62 Computer Hardware, Computer Software
## 63 Automotive - Motor Vehicles - Parts
## 64 Employment - Recruiting - Staffing
## 65 Healthcare - Health Services
## 66 Consulting
## 67 Mortgage
## 68 Other Great Industries
## 69 Healthcare - Health Services
## 70 Other Great Industries
## 71 Computer Software
## 72 Banking - Financial Services, Biotechnology
## 73 Other Great Industries
## 74 Other Great Industries
## 75 Other Great Industries
## 76 Retail
## 77 Other Great Industries
## 78 Other Great Industries
## 79 Other Great Industries
## 80 Other Great Industries
## 81 Retail
## 82 Computer Software
## 83 Other Great Industries
## 84 Computer Hardware, Computer Software
## 85 Education - Teaching - Administration, Not for Profit - Charitable
## 86 Internet - ECommerce
## 87 Government - Civil Service, Consulting, Not for Profit - Charitable
## 88 Other Great Industries
## 89 Consulting
## 90 Other Great Industries
## 91 Electronics
## 92 Insurance
## 93 Insurance
## 94 Banking - Financial Services
## 95 Other Great Industries
## 96 Other Great Industries
## 97 Healthcare - Health Services
## 98 Other Great Industries
## 99 Computer Software, Internet - ECommerce
## 100 Retail
## 101 Other Great Industries
## 102 Hotel - Resort
## 103 Other Great Industries
## 104 Other Great Industries
## 105 Other Great Industries
## 106 Broadcasting - Radio - TV
## 107 Telecommunications
## 108 Other Great Industries
## 109 Other Great Industries
## 110 Banking - Financial Services
## 111 Other Great Industries
## 112 Other Great Industries
## 113 Other Great Industries
## 114 Other Great Industries
## 115 Manufacturing
## 116 Other Great Industries
## 117 Employment - Recruiting - Staffing
## 118 Other Great Industries
## 119 Computer Software, Electronics
## 120 Banking - Financial Services, Accounting - Finance, Other Great Industries
## 121 Other Great Industries
## 122 Transportation
## 123 Banking - Financial Services
## 124 Insurance
## 125 Internet - ECommerce, Advertising
## 126 Other Great Industries
## 127 Other Great Industries
## 128 Other Great Industries
## 129 Computer Software, Defense - Aerospace, Other Great Industries
## 130 Other Great Industries
## 131 Packaging, Transportation
## 132 Packaging, Transportation
## 133 Telecommunications
## 134 Computer Software
## 135 Other Great Industries
## 136 Other Great Industries
## 137 Banking - Financial Services
## 138 Insurance, Internet - ECommerce
## 139 Consulting, Healthcare - Health Services, Insurance
## 140 Consulting
## 141 Consulting
## 142 Other Great Industries
## 143 Transportation
## 144 Computer Software
## 145 Computer Hardware, Computer Software
## 146 Consulting
## 147 Telecommunications
## 148 Accounting - Finance, Consulting
## 149 Other Great Industries
## 150 Other Great Industries
## 151 Consulting
## 152 Internet - ECommerce
## 153 Consulting
## 154 Insurance
## 155 Consulting
## 156 Computer Software
## 157 Consulting
## 158 Healthcare - Health Services
## 159 Banking - Financial Services
## 160 Healthcare - Health Services, Managed Care
## 161 Healthcare - Health Services
## 162 Other Great Industries
## 163 Other Great Industries
## 164 Healthcare - Health Services, Medical Equipment
## 165 Other Great Industries
## 166 Other Great Industries
## 167 Other Great Industries
## 168 Other Great Industries
## 169 Internet - ECommerce
## 170 Consulting
## 171 Other Great Industries
## 172 Computer Software
## 173 Internet - ECommerce
## 174 Other Great Industries
## 175 Healthcare - Health Services
## 176 Other Great Industries
## 177 Consulting
## 178 Other Great Industries
## 179 Internet - ECommerce
## 180 Other Great Industries
## 181 Other Great Industries
## 182 Other Great Industries
## 183 Other Great Industries
## 184 Consulting
## 185 Other Great Industries
## 186 Consumer Products
## 187 Other Great Industries
## 188 Banking - Financial Services
## 189 Automotive - Motor Vehicles - Parts
## 190 Computer Software
## 191 Other Great Industries
## 192 Other Great Industries
## 193 Computer Software
## 194 Other Great Industries
## 195 Other Great Industries
## 196 Other Great Industries
## 197 Employment - Recruiting - Staffing
## 198 Other Great Industries
## 199 Other Great Industries
## 200 Other Great Industries
## 201 Defense - Aerospace, Computer Software
## 202 Construction
## 203 Packaging, Transportation
## 204 Automotive - Motor Vehicles - Parts
## 205 HVAC
## 206 Other Great Industries
## 207 Other Great Industries
## 208 Other Great Industries
## 209 Manufacturing
## 210 Accounting - Finance, Consulting
## 211 Other Great Industries
## 212 Other Great Industries
## 213 Computer Software, Defense - Aerospace, Telecommunications
## 214 Other Great Industries
## 215 Employment - Recruiting - Staffing
## 216 Other Great Industries
## 217 Pharmaceutical
## 218 Other Great Industries
## 219 Computer Software
## 220 Consulting
## 221 Other Great Industries
## 222 Other Great Industries
## 223 Other Great Industries
## 224 Entertainment, Hospitality, Accounting - Finance
## 225 Accounting - Finance, Banking - Financial Services, Consulting
## 226 Other Great Industries
## 227 Insurance
## 228 Other Great Industries
## 229 Consulting
## 230 Entertainment, Hospitality, Travel
## 231 Other Great Industries
## 232 Other Great Industries
## 233 Building Materials
## 234 Government - Civil Service, Consulting, Not for Profit - Charitable
## 235 Biotechnology
## 236 Other Great Industries
## 237 Other Great Industries
## 238 Accounting - Finance
## 239 Other Great Industries
## 240 Legal, Accounting - Finance, Banking - Financial Services
## 241 Insurance
## 242 Accounting - Finance, Banking - Financial Services
## 243 Consulting
## 244 Accounting - Finance, Banking - Financial Services, Credit - Loan - Collections
## 245 Other Great Industries
## 246 Healthcare - Health Services
## 247 Other Great Industries
## 248 Other Great Industries
## 249 Other Great Industries
## 250 Accounting - Finance, Banking - Financial Services
## 251 Consulting, Retail
## 252 Accounting - Finance, Banking - Financial Services, Consulting
## 253 Other Great Industries
## 254 Insurance
## 255 Managed Care
## 256 Accounting - Finance, Banking - Financial Services
## 257 Government - Civil Service, Consulting, Not for Profit - Charitable
## 258 Other Great Industries
## 259 Other Great Industries
## 260 Accounting - Finance
## 261 Other Great Industries
## 262 Building Materials
## 263 Healthcare - Health Services
## 264 Not for Profit - Charitable
## 265 Other Great Industries
## 266 Internet - ECommerce
## 267 Biotechnology, Pharmaceutical, Other Great Industries
## 268 Other Great Industries
## 269 Computer Software
## 270 Other Great Industries
## 271 Accounting - Finance
## 272 Healthcare - Health Services
## 273 Healthcare - Health Services
## 274 Other Great Industries
## 275 Other Great Industries
## 276 Other Great Industries
## 277 Other Great Industries
## 278 Accounting - Finance
## 279 Accounting - Finance, Banking - Financial Services, Credit - Loan - Collections
## 280 Other Great Industries
## 281 Healthcare - Health Services
## 282 Accounting - Finance, Manufacturing, Banking - Financial Services
## 283 Automotive - Motor Vehicles - Parts, Manufacturing, Transportation
## 284 Manufacturing
## 285 Accounting - Finance
## 286 Accounting - Finance
## 287 Other Great Industries
## 288 Other Great Industries
## 289 Other Great Industries
## 290 Manufacturing
## 291 Other Great Industries
## 292 Other Great Industries
## 293 Other Great Industries
## 294 Banking - Financial Services
## 295 Banking - Financial Services
## 296 Other Great Industries
## 297 Energy - Utilities - Gas - Electric
## 298 Banking - Financial Services
## 299 Accounting - Finance, Manufacturing, Credit - Loan - Collections
## 300 Broadcasting - Radio - TV
## jobdesc
## 1 IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.The IQVIA Advanced Analytics team is one of the leading healthcare analytical teams in the world. Joining the AA team provides the opportunity to work with extremely complex data and methodologies in a fast-paced, ever-changing environment. We seek highly motivated people who truly want to make a difference in human data science. At IQVIA, we look for the very best people, and then give them meaningful work to do. We don’t simply think about careers, we think about contributions.What You’ll Be Doing:Developing, implementing, managing, and validating statistical-based custom analytics for pharmaceutical client engagements to help answer complex business questions\nAssisting the IQVIA Real World Insights and Commercial Services teams with use of appropriate data assets, methodologies, statistical techniques and delivery options to meet client information and analyses needs\nDesigning/documenting analytical plans and developing detailed programming specifications for the execution of the analysis plan\nCoordinating with off-shore statistical programmers throughout the project lifecycle to ensure accurate and timely delivery\nCollaborating closely with project managers to create timelines for the project and to ensure that project results and conclusions are presented accurately and without bias\nUnderstanding the contracted scope of work, proactively identifying potential out-of-scope activities and bringing to the attention of the project leader\nWorking with consulting principals and sales team on business development effort by providing ad-hoc feasibility reports, providing estimations of effort and developing methodologies that address client needs\nManaging the development work for urgent and/or complex projects requiring programming and statistical models in Python, R or other software packages\nBuilding expertise in cross-platform applications of IQVIA assets with a specialization in longitudinal pharmacy and medical claims data\nContributing to the development innovative methodologies and new offerings. Creating and refining best practices and approaches\nMentoring junior team members. Potential for direct people management based on desire and prior experience\nWhat We’re Looking For:Bachelor’s degree in a relevant field including statistics, mathematics, computer science, business analytics or other quantitative field. Master’s degree or doctorate preferred.\nSix or more years of prior experience in operations research, market research, business analytics or applied statistics including manipulating larger datasets, conducting statistical analysis and deriving insights. Healthcare industry experience preferred. Job title commensurate with experience/education\nExperience using statistical programming languages (SQL, Python, R and/or SAS) to manipulate data and build statistical models. Experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, Impala, Spark, etc. is preferred\nKnowledge and experience with statistical and data mining concepts including one or more of the following: multivariate analysis, significance testing, regression, decision trees, clustering, forecasting, sampling, scenario analysis, simulation, advanced modeling and machine learning techniques\nPrior experience with healthcare data analytics leveraging patient-level/longitudinal healthcare claims data, electronic medical records (EMR) or related data is highly desired\nAbility to problem solve and develop innovative approaches along with a drive to learn and master new techniques and technologies\nStrong organization skills and ability to work on multiple tasks simultaneously while achieving quality standards and meeting deadlines\nExcellent written and verbal communication skills. Strong interpersonal skills and ability to work collaboratively across teams\nExperience visualizing/presenting data for internal stakeholders and clients. Comfortable presenting data and findings to internal and external audiences\nProject management and/or team leadership experience preferred\nExperience with people management and mentorship preferred\nIQVIA is an EEO Employer - Minorities/Females/Protected Veterans/DisabledWe know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes.Whatever your career goals, we are here to ensure you get there!We invite you to join IQVIA™.#LI-TF1#GLDJob ID: R1012596
## 2 AI & Machine Learning Predictive Analytics Start UpProduct Manager | Enterprise PlatformBostonGlocomms is working with a very exiting AI and Machine Learning Predictive Analytics start up who believe that the automation of data science workflows can transform every business across all industries. They are currently searching for a talented product manager to help the team of world-class data scientists, designers, engineers, and executives bring automated machine learning to companies around the world and will help millions of people in their everyday working lives.Is this for you?The ideal candidates will enjoy data science, complex problem-solving and high levels of customer interaction.ResponsibilitiesSecurity, and platform support\nSecurity providers\nData connectivity\nOS support and deployment technology for our Data Preparation Products\nDeployment, licensing, administration, and maintenance in the context of enterprise deployments\nIntegration & compliance with enterprise systems, supported platforms, authentication providers, single sign-on\nMonitoring, availability, disaster recovery\nUnderstanding managing data for a system that supports hundreds or thousands of users\nRequirementsHands-on experience with deploying and supporting enterprise solutions requiring broad data access\nStrong technical skills\nEnterprise systems architecture\nSystem administration\nGeneral IT\nExcellent soft skills\nTools Meant for users like:Talend\nInformatica\nCommand line tools,\nRaw APIs\nBe able to empathize with these users and want to empower them to be successful\nThey are actively interviewing for this role, if you are interested please apply here or give me a call directly at (646 253 0219)\n\nJob Requirements\n\nRequirements•Hands-on experience with deploying and supporting enterprise solutions requiring broad data access•Strong technical skills•Enterprise systems architecture•System administration•General IT•Excellent soft skills
## 3 Job Description:he Defense and Intelligence Group of Leidos has a Data Science & Tagging Analyst position in Bethesda, MD. 1) Assist the Government to mine and analyze data from various databases to drive optimization and improvement of strategy and policy development.2) Develop custom data models and algorithms to apply to data sets. 3) Recommend, develop and support implementation of best practices for standardizing data across its lifecycle through engineering, development and governance.4) Advise on a range of Enterprise and IC data management matters through their application of substantive, analytical, operational, program management, and/or IC expertise.Basic Qualifications: 10 years or High School/GED + 8 years or Associate + 6 years or Bachelors + 4 years or Masters + 2 years or Doctorate (PhD)• Minimum five (5) years of experience manipulating data sets and building statisticalmodels, and familiarity with:o Coding knowledge and experience with several languages (C, C++, Java, JavaScript, etc.);o Statistical and data mining techniques (Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.);o Querying databases and using statistical computer languages (R, Python, etc.);o Using web services (Redshift, Spark, DigitalOcean, etc.); ando Creating and using advanced machine learning algorithms and statistics (regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.).o These five (5) years may be concurrent with requisite years of experience.• Strong problem solving skills with an emphasis on product development.• Proven ability to drive business results with data-based insights.• Demonstrated expertise with developing and implementing data management strategies, processes, and technical solutions.• Demonstrated expertise with one of the key data management knowledge areas: data management, data quality, metadata management, data governance, data modeling and design, data storage and operations, data integration and operability, document and content management, reference and master data.• Outstanding oral and written communication skills with the ability to conduct independent research, filter and synthesize data, and produce clear, logical, and concise recommendations to policy and decision-making data management and governance professionals.• Outstanding interpersonal skills, including the ability to work independently and in a team or collaborative environment, to work with all levels of employees from support staff to senior leadership, and to be proactive and responsive in communicating with all stakeholders.• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Currently posses an active Poly. Preferred Qualifications:• Experience analyzing data from 3rd party providers (Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.).• Experience visualizing/presenting data for stakeholders using (Periscope, Business Objects, etc.).• Demonstrated expertise managing competing priorities while maintaining a high level of attention to detail; demonstrated ability to work effectively with senior leaders in a high profile and demanding office.• Outstanding analytical and critical thinking skills, including the demonstrated ability to think strategically, identify needs and requirements, and develop recommendations and solutions.• Outstanding leadership and managerial capabilities, including the ability to effectively direct tasking, and assess and manage performance.• Knowledge of the IC, ODNI, DoD, and the overall national security apparatus
## 4 Overview\nMedical Science & Computing (MSC) is an exciting growth oriented company, dedicated to providing mission critical scientific and technical services to the Federal Government. We have a distinguished history of supporting the National Institutes of Health (NIH) and other government agencies. MSC offers a dynamic and upbeat work environment, excellent benefits and career growth opportunities.We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, Medical and Flexible Spending Accounts, Pre-Tax Transit Assistance and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!\n\nDuties & Responsibilities\n\nMedical Science & Computing is searching for a Data Science Expert to support the National Institutes of Health. This opportunity is a permanent, full-time position with MSC and it is on-site in Bethesda, MD. Biomedical Image Informatics, coupled with machine learning, especially deep learning models, has seen significant growth in recent years as an integral part of data science. It is currently seen as central to further development of techniques for clinical decision making, automated disease screening, automated image indexing for search and retrieval, and automated understanding of scientific literature, and health-related social media communications. The data scientist will conduct R&D in automated deep learning algorithms for image processing for many clinical modalities, such as x-rays, pathology images, microscope cell images and many others. As an example of a project, he or she will contribute to work toward detecting the presence of cervical cancer and clinically stage it based on colposcopy cervix photos, cytology images and HPV testing in various combinations. The incumbent will use colposcopy cervical photos from different sources, Pap smear cytology images, and results of HPV testing to explore a number of hypotheses about cervical cancer. These will be used as training and testing sets for deep learning models to detect and identify morphological or appearance changes on the images to detect, type, and stage cervical cancer related disorders. The research directions supported by the candidate include advancing algorithms for: 1) extraction of information from images; 2) enabling better discoverability, such as automated indexing of clinical images; and 3) research in automated disease screening and clinical decision making.\n\nRequirements\n\nThe position will require substantial experience in the analysis of clinical images, a record of peer reviewed publications, and a solid understanding of existing deep learning frameworks. Significant software development experience using Java/Python and with NVidia’s DGX-1 and other multi-GPU systems would be an advantageEligible candidates must have a Ph.D. or M.D. (or M.D., Ph.D.) or equivalent doctoral degree in advanced computational sciences.The successful candidate should have at least five years of significant experience, with high-quality scientific contributions to biomedical image informatics and machine learning. Medical Science & Computing is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.
## 5 Every day at Perspecta, we enable hundreds of thousands of people to take on our nation’s most important work. We’re a company founded on a diverse set of capabilities and skills, bound together by a single promise: we never stop solving our nation’s most complex challenges. Our team of engineers, analysts, developers, investigators, integrators and architects work tirelessly to create innovative solutions. We continually push ourselves—to respond, to adapt, to go further. To look ahead to the changing landscape and develop new and innovative ways to serve our customers.Perspecta works with U.S. government customers in defense, intelligence, civilian, health care, and state and local markets. Our high-caliber employees are rewarded in many ways—not only through competitive salaries and benefits packages, but the opportunity to create a meaningful impact in jobs and on projects that matter. Perspecta’s talented and robust workforce—14,000 strong—stands ready to welcome you to the team. Let’s make an impact together.Perspecta is an AA/EEO Employer - Minorities/Women/Veterans/Disabled and other protected categories\n\nResponsibilities\n\nAssist the Government to mine and analyze data from various databases to drive optimization and improvement of strategy and policy development. The Contractor shall develop custom data models and algorithms to apply to data sets. The Contractor shall recommend, develop and support implementation of best practices for standardizing data across its lifecycle through engineering, development and governance.Advise on a range of Enterprise and IC data management matters through their application of substantive, analytical, operational, program management, and/or IC expertise.\n\n\nJob Requirements\n\nDoctorate (PhD) + 8 years, Masters +8, Bachelors +12, Associates + 14, High School/GED +16, No deg. +20• Applicable degree(s): Computer Information Systems, Computer Science, Database Administration, Data Science, Engineering, IT Management, Mathematics, or Statistics (or another quantitative field).• Minimum five (5) years of experience manipulating data sets and building statistical models, and familiarity with: o Coding knowledge and experience with several languages (C, C++, Java, JavaScript, etc.);o Statistical and data mining techniques (Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.); o Querying databases and using statistical computer languages (R, Python, etc.);o Using web services (Redshift, Spark, DigitalOcean, etc.); ando Creating and using advanced machine learning algorithms and statistics (regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.).o These five (5) years may be concurrent with requisite years of experience.• Strong problem solving skills with an emphasis on product development.• Proven ability to drive business results with data-based insights. Knowledge of Advanced Statistical Techniques.• Demonstrated expertise with developing and implementing data management strategies, processes, and technical solutions.• Demonstrated expertise with one of the key data management knowledge areas: data management, data quality, metadata management, data governance, data modeling and design, data storage and operations, data integration and operability, document and content management, reference and master data.• Outstanding oral and written communication skills with the ability to conduct independent research, filter and synthesize data, and produce clear, logical, and concise recommendations to policy and decision-making data management and governance professionals. • Outstanding interpersonal skills, including the ability to work independently and in a team.
## 6 \nAre you passionate about improving the quality of healthcare? \nAre you interested in exploring a rapidly expanding universe of clinical data? \nAre you ready to leverage your talents to make healthcare better for everyone? \nAre you fascinated by the growing field of data science?\nThen join the new Data Science & Advanced Analytics team at Health Services Advisory Group (HSAG) that is transforming the delivery of healthcare in the United States!\nHSAG has been a pioneer in the field of healthcare quality improvement for over three decades, serving approximately:\n25 percent of the nation’s Medicare population\n46 percent of the nation’s Medicaid population\n20 percent of the nation’s dialysis population\nHSAG is nationally recognized as an industry leader in the areas of data analysis, measure development, and patient satisfaction surveys. We are in search of talented individuals that are interested in a career in analytics as an Analyst in HSAG’s Data Science & Advanced Analytics division. Together we can spread positive change to make healthcare better. \nUNIQUE BENEFITS\nThe Analyst also benefits from HSAG’s desire to grow its staff into the future leaders of healthcare quality improvement in the nation. New HSAG analysts are provided formal training in statistics, clinical epidemiology, SAS, healthcare data, and an assortment of healthcare-related topics. \nHSAG offers:\nA comfortable work-life balance, including half-day Fridays and flexible work schedules.\nThree weeks of paid time off and 13 company-paid holidays where staff leave two hours early prior to each holiday just to get a “jump start” on holiday festivities.\nHSAG offers a competitive benefit package which includes, medical, dental, vision, tuition reimbursement, 401(k) and an employee stock ownership plan. \nDESCRIPTION\nThe Analyst is a key contributor to cutting edge analytic work that spans the broad spectrum of healthcare data projects at HSAG. Driven by intellectual curiosity and a passion for healthcare quality, the Analyst develops and executes innovative analytic plans that are intended to provide healthcare decision and policy makers with the necessary information to transform healthcare. The Analyst will also assist in designing a wide array of analytic studies and participate in all phases of the research design process. The Analyst will have at his or her fingertips a wide array of data types to facilitate data exploration, including:\nsurvey\ncase review\nmedical and prescription drug claims\neligibility\nclinical\nelectronic health record\noperational\nDetails regarding potential project assignments will be discussed with potential candidates during the interview process.\nESSENTIAL COMPETENCIES, DUTIES, AND RESPONSIBILITIES\nServe as an integral part of HSAG Data Science & Advanced Analytics division.\nUnderstand primary types of healthcare data and methods for approaching data assessments.\nEvaluate a wide array of data types.\nConduct and interpret analyses, develop appropriate statistical models, manipulate complex databases, and track and evaluate patterns of care and outcomes.\nPerform data validation, conduct analysis plans, and cross reference data.\nAttend and participates in team training meetings.\nPresent and communicate project results to non-analytic staff members and customers. \nRepresent HSAG in a professional manner at all times.\n
## 7 Qualifications \nEducation & Experience Requirements:\nMS degree in Analytics, Statistics, or Mathematics fields and 12+ years of Analytics experience or PhD degree and 10+ years of Analytics experience\n5+ years of SAS programming experience in previous roles (SAS not substitutable with any other programming language).\nExpertise acquired through prior experience in applying statistical/mathematical techniques in 2 or more business units/focus areas (Operations, Supply Chain, Real-Estate, Pricing, Marketing, Credit Risk management).\nAdvanced knowledge of the applications of Analytics in all business units/focus areas\nMust be a master storyteller able to explain complicated statistical analyses, techniques, and results to non-statistical audiences of C-level Executives and below.\nCapable of working and communicating directly with C-level Executives and below to scope the technical needs of large scale, high-value, technically complex projects.\nCapable of developing, training, mentoring, and technically supervising all levels of analysts\nExpert in writing extremely large and complex technical documents for auditors or government\nBenefits, Privileges and Growth Opportunities\nWe offer over 31 Benefits and Privileges to include medical, dental, vision, 401k, cash balance retirement plan and more.\nWe are An Equal Opportunity Affirmative Action Employer, in fact, 'One of our strengths is found in our commitment to serve a diverse customer population with diverse teams of teammates. '\nOver 100 years of success is an indication of the stability our workforce enjoys.\nResponsibilities \nPrincipal Duties:\nStatistical Analysis / Data Science (65%):\nBuilds new predictive/descriptive models, evaluate current effectiveness of old models, design experiments/campaigns and analyze the resulting data, perform post-hoc (correlational) analysis when experimental designs (causational analyses) are not feasible and explains the limitations of the results, advises analytical data programmers on quality and infrastructure needs/challenges, etc.\nMajority of time spent coding is on creation of new code\nTranslating analytical results, presenting to C-Level executives and below, and making recommendations for improvements in the areas of application\nCreation of extremely advanced technical documents for auditors and government agencies as appropriate\nIdentify data quality issues and drive their resolution with whoever is appropriate for the given issue\nCreates advanced transformations independently\nFormally train less experienced Analysts.\nDevelop formal training materials.\nApply skills learned in previous roles to the business using SAS with great autonomy.\nMentors and provides technical supervision to Senior level analysts\nCollaborates strategically with executives outside of Analytics\nFocused primarily on large scale high-value projects that may also have legal sensitivity or scrutiny\nApplies advanced techniques for handling interactions independently\nTechnical Supervision / Training / Development (25%)\nTechnically supervising, mentoring, coaching, and training all less senior analysts on advanced statistical techniques and how to apply them to business problems \nOrganization Analytics Strategy / Direction (10%)\nAssist Associate Director and Director of Analytics in the identification and quantification of applications of analytics and development of project charters and plans as appropriateNesco Resource is an equal employment opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status, or any other legally protected characteristics with respect to employment opportunities.
## 8 Employee Perks Why You Will Love Being Part of the Navy Federal Team:*Competitive compensation with opportunities for annual raises, promotions, and bonus potential*Best-in-Class Benefits! (7% 401k match / Pension plan / Tuition reimbursement / Great insurance options)*On-site amenities include fitness center, wellness center, cafeteria, etc. at Pensacola, FL; Vienna, VA and Winchester, VA campuses*Consistently Awarded Top Workplace*Nationally recognized training department by TRAINING Magazine IND123*An employee-focused, diverse, and service-oriented workplace environmentBasic Purpose To lead the development of moderate to large scoped predictive modeling, data-mining, and advanced statistical marketing analytics for assigned internal clients to enable better understanding of member needs, behaviors, and engagement. Serve as lead Analyst independently under general supervision and provide less skilled Analysts with technical and thought guidance in the development of models and collaborative insights with stakeholders. Formulate strategies around member targeting, product and service acquisition, cross-selling and retention for more effective marketing. Provide input, clarification and insight to mid and executive-level management across the company with answers to business questions and information to assist with member-centric decision making.Responsibilities:Collaborate with internal business partners across divisions to integrate analytical tools and solutions into direct marketing, lead generation campaigns/initiatives, and agent/member systems (i.e., INFOR)\nDevelop and refine member segmentation models to help focus corporate and divisional activities supporting corporate growth, retention, member experience and long term profitability\nDevelop and test multiple hypotheses using results from analyses to generate and answer new questions leading to more in-depth understanding of business issue(s) being studied \nEvaluate/develop/implement analytical techniques and best practices to gain a competitive advantage\nForecast initiatives to project strategic plan goals and assess current performance \nIdentify potential issues that arise during the course of research projects and escalate and communicate these to management and internal clients for awareness\\action\\resolution\nIdentify, recommend and manage external suppliers/vendors assisting on analytical research projects, ensure projects meet departmental quality standards, research objectives, and delivered on time\nLead ad hoc analysis of corporate-wide business problems of various scope and complexity\nLead development of predictive modeling projects using data mining techniques for estimating current and future member engagement, prospecting new members, cross-selling to existing members (response models), and identifying members likely to leave\nMake presentations of status, completion and results of studies to non-technical audience of various levels \nManage multiple research projects under tight deadlines; ensure research projects are completed on time and meet internal client expectations \nMonitor performance of scored models; recommend/implement changes to improve performance\nPerform full cycle model design and development which includes but is not limited to identifying objectives, sampling, testing/validation, calibration, and monitoring performance \nProactively work with internal clients and other business areas to create project plans with clear objectives, detailed tasks, accountabilities, timelines, and estimated budgets/corporate impact \nProduce actionable insights from research projects that are effectively communicated \nPerform other duties as assigned\nQualifications – All required unless otherwise noted:Master's Degree in Statistics, Mathematics, Marketing, Economics, Engineering or the equivalent combination of training, education, and experience\nExperience in an informal mentoring, and/or leadership role\nExperience in working in a consultative capacity involving marketing strategies\nSignificant experience in managing multiple priorities independently and/or in a team environment to achieve goals\nSignificant experience in marketing campaign "life-cycle" management with a broad range of marketing research tools, trends and technologies - e.g. data mining, Cognos, Business Objects, SAS, JMP, SPSS, SQL, CRM platforms such as Infor or TRM, Mintel Comperemedia, Claritas tools, Omniture etc.\nSignificant experience in statistical software (e.g., SPSS Modeler and/or SAS) to manage large data sets\nSignificant experience in using a majority of the following statistical methods to solve business problems: linear and logistic regression, neural networks, decision trees, experimental design, time-series and forecasting, K-means clustering, association rules, RFM, survival analysis\nAdvanced skill building effective relationships through rapport, trust, diplomacy and tact\nAdvanced skill interpreting, extrapolating and interpolating data for statistical research and modeling\nAdvanced skill to influence, negotiate and persuade to reach agreeable exchange and positive outcomes\nAdvanced skill using innovative thinking to solve problems and facilitate the decision-making process\nExperience in an informal mentoring role - we'll want this person to share their knowledge and experience with other lesser tenured modelers on their team\nSignificant experience in using a majority of the following statistical methods to solve business problems: linear and logistic regression, neural networks, decision trees, experimental design, time-series and forecasting, K-means clustering, association rules, RFM, survival analysis - we want to see that their background is diverse in terms of knowledge of methods used so they can alter approach depending on the problem\nAdvanced skills in building effective relationships, analyzing and sharing data and using innovative thinking to solve problems - we've had experience with Modelers in the past who were great technically but poor communicators and team players. We'd really like to find someone who has people skills, as well, both in working well with others and being able to make their analysis relatable to various audiences\nDesired:Doctor of Philosophy in Statistics, Mathematics, Marketing, Economics, Engineering or the equivalent combination of training, education, and experience\nSignificant experience in marketing campaign "life-cycle" management and marketing analysis demonstrating usage of all technical tools for data modeling\nAdvanced knowledge of Navy Federal products, services, programs, policies and procedures\nExperience dealing with fraud and working in a financial institution would be great\nHours:Monday-Friday, 9:00AM-5:30PMEqual Employment Opportunity Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability
## 9 Serves as a top level technical or functional expert, often working on multiple projects and programs.Position Overview Provide statistical and mathematical support in assisting NGA analyze and interpret a wide range of data to help NGA understand and improve our customer’s experience. Ability to leverage a range of data sources (e.g., Web traffic, customer requests for information, survey responses, production databases, etc.) for an understanding of what drives a positive customer experience. Provide insights that will be used to inform NGA strategy and decisions, in partnership with teams examining Website design, customer interactions, featured content, and future GEOINT products and services. Works with various stakeholders to develop business questions and identify the data necessary to analyze to answer those questions. Collaborate across a diverse team of statisticians/data analysts. Utilizes industry standard communication and visualization tools to visualize and communicate complex quantitative information and analysis to senior executives. Applies business analytics and customer segmentation techniques in any corporate function, e.g. marketing analytics, consumer analytics, operations analysis, human capital analytics, or other relevant fields. Uses data mining for structured and unstructured information to join and explore relationships in disparate data sets. Applies advanced analytics capabilities to derive insights from a combination of unstructured, semi-structured, and structured data. Maintains, moves, and manipulates data between applications, using appropriate software: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves. Strength in collaboration and teamwork within, between, and across organizational boundaries. Demonstrates good oral and written communication skills, along with good interpersonal skills and an ability to work cooperatively and effectively as a team member.1. Serves as a top level technical or functional expert supporting one or more clients and unlimited user groups.2. Performs highly specialized technical tasks associated with cutting-edge technologies.3. Works with user groups to solve business problems with available technology including hardware, software, databases, and peripherals.4. Applies expert functional knowledge and experience to significant business projects or processes.5. May perform business development activities, including providing technical input to proposal efforts.6. Provides guidance and training to less experienced staff.7. May serve as a technical task or project leader.8. May have supervisory responsibilities.9. Maintains current knowledge of relevant developments in area of expertise.10. Participates in special projects as required.\n\nJob Requirements\n\n10-15 YEARS OF EXPERIENCE IN AREA OF EXPERTISE.Expert-level proficiency- Familiarity with MS Office, data mining, ability to develop and manipulate, and maintain databases.- 10 years demonstrated experience using COTS statistical software (SPSS, SAS, MatLab etc.), COTS desktop software (MS Office and Access), and the Windows operating environment. Of particular importance is software packages used for advanced statistical analysis of operational data and tools for data visualization.- Ability to develop and lead teams in the support of GEOINT regional offices and divisions.- Proven ability to interact and provide technical support to Office-level leadership and management internally as well as externallyFor more than 50 years, General Dynamics Information Technology has served as a trusted provider of information technology, systems engineering, training and professional services to customers across federal, state, and local governments, and in the commercial sector. Over 40,000 GDIT professionals deliver enterprise solutions, manage mission-critical IT programs and provide mission support services worldwide. GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class. #ISDCJ #DPOST. WPSM21
## 10 In this role the Principal Statistician will provide senior-level oversight of statistical aspects in the design of clinical trials and statistical analysis of analytical and clinical trial results. Collaborates with the Science & Technology, Analytical Research Services, Regulatory Affairs, and Quality organizations to provide in-depth expertise in the statistical evaluation, modeling, and publication of clinical study reports, analysis of stability studies, among other things.\nResponsibilities:\n• Design clinical trials with cross functional departments in support of new product development and long term product innovation. • Analyze and assist in the interpretation of data from clinical trials, stability or analytical testing, publicly available metadata, research information relevant to nutrition science and the dietary supplement industry (e.g., NHANES), or work created by Pharmavite's Science & Technology, Analytical Research Services, Regulatory Affairs, and Quality (STARQ) organizations. • In collaboration with key STARQ leaders, develop a statistical strategy that is well coordinated and delivers against our business objectives. • Prepare technical written reports of findings and conclusions, as required. • Develop and establish best statistical practices for key technical functions such as Quality, Analytical Research Services, Product Development, and Product Research. • Develops, plans and executes a wide range of statistical analyses including multi-variable, mathematical modeling, power and sample size calculations, among other things. • Synthesize and simplify complex information to develop business strategies or to influence key opinion leaders and industry experts; at scientific conferences or industry events; or in peer-reviewed manuscripts. • Develop self-service statistical software. • Collect and analyze data to develop and maintain STARQ metrics. • Develop and establish best statistical modeling for use in the Supply Chain. • Functions as analytics expert for multiple complex projects and coordinate with other data analytics incumbents in the Supply Chain. • Designs, maintains and documents procedures, including methods and summary/conclusions. • Ensure that appropriate programs and documentations are developed for datasets development and outputs generation, and ensure the statistical analyses specified in scientific protocols and/or analysis plans are conducted appropriately. • Collaborate with members of the STARQ community and other functions on clinical study protocol development, including choosing an appropriate study design and statistical methodology, defining endpoints, calculating sample size, and writing statistical sections of the protocol. • Collaborate with members of the STARTQ community and other functions on documents containing statistical information and clinical data. • Contribute to the development of functional-level standards, SOPs, and templates.\nThe ideal candidate will possess the following:\n• Masters in statistics, biostatistics, or related field; PhD strongly preferred • A Master's degree plus a minimum of 12 years of experience in data analysis and/or statistician experience. Alternatively, a PhD degree plus a minimum of 6 years of experience in data analysis and/or statistician experience. • Proven experience performing complex statistical programming and statistical analysis and systems programming. • Strong SAS programming skills (Proficient in BASE, STAT, MACRO and GRAPH). • Demonstrated proficiency in using Microsoft Excel, SAS and/or STATA (statistical software), which includes data access, data retrieval, data management, data analysis, and data presentation. • Experience with a wide variety of clinical trials/designs and corresponding reporting of data, and large-scale multivariate longitudinal databases. • Experience in interpreting the results of statistical analyses from complex data sets. • Proven management skills, as shown through management of multiple projects and/or staff members. • Ability to work independently with minimal supervision and coordinate activities with competing deadlines. • Great attention to detail, strong analytical skills, ability to prioritize multiple tasks and ability to deliver reports in timely manner. • Strong organizational and analytical problem-solving skills. • Good organizational skills with the ability to adapt and adjust to changing priorities. • Skills to communicate complex information in a clear and concise manner verbally and written. • Research skills at a level to evaluate alternate solutions and develop recommendations. • Ability to direct and promote teamwork in a multi-disciplinary team setting. • Ability to review current processes and identify potential process improvements.\nWe are proud to offer:\nWe aspire to nurture a culture of inclusion that enables and encourages all of our employees to thrive. Bringing the gift of health to life begin with all of us. Here are a few ways we do that:\n• Competitive salary with a bonus program • Eligibility for our benefits on your first day of employment (medical, dental vision) • An opportunity to be part of a health/wellness organization • Annual wellness discounts • 401K with company matching • Educational assistance • Monthly free products • 11 paid holidays per year • An opportunity to work with passionate people who care deeply about our purpose and each other!\nPharmavite headquarters are located in the greater Los Angeles area - Northridge, CA\nVisit our website at Pharmavite.com\nYour next leadership opportunity is just a click away!\nPharmavite is an equal employment and affirmative action employer F/M/Disability/Vet.\nVisit our Product Web Sites:\nwww.naturemade.com/\nEqual Opportunity Employer Minorities/Women/Protected Veterans/Disabled
## 11 The Data Analyst is responsible for translating numbers into plain English. Every business collects data, whether it's sales figures, market research, logistics, or transportation costs. A Data Analyst's job is to take that data and use it to drive HPOne’s business plans.\n*We are unable to sponsor visas for candidates being considered for this position*\nDescription of accountabilities\nDevelop insights and deliver recommendations based on data analytics\nWork with business leaders to articulate business requirements for data analytics\nCreate automated reports and dashboard products, in order to display results to clients and internal project teams\nDevelop end-customer segmentation schemes by analyzing customer behavior\nPerform ad hoc analyses and deliver recommendations\nHelp develop and implement an overall data analytics and reporting strategy for the company\nRequired qualifications for this role\nONLY LOCAL CANDIDATES WILL BE CONSIDERED\nExperience with predictive modeling and tools like “R” or Python\nExperience conducting regression analyses\nExperience in the operation and programming of database systems (SQL, etc.)\nUnderstanding of relational databases and data management as well as experience with data aggregation and normalization \nAdvanced excel expertise (pivot tables, VLOOKUP, report filters etc.)\nProficiency using the Internet and other Microsoft office tools\nAbility to approach tasks strategically, while owning and mastering the details\nExceptional problem solving, as well as analytical and strategic thinking skills\nInitiative to own projects from start to finish\nStrong oral and written communication skills, with ability to work well with people across the company at all levels\nBachelor’s degree\n5 + years of work experience\nPreferred qualifications for this role\nMajor or significant coursework in at least one of the following: mathematics, business, analytical marketing, information systems, programming/databases, statistics/statistical modeling, finance, economics, or physics\nExperience with business intelligence and data visualization tools (like Domo or Tableau)\nAbout HPOne: \nFounded in 2006, HPOne is a leading sales and marketing organization that operates across multiple segments of the Medicare and health insurance marketplaces. Using proprietary technology solutions coupled with deep industry knowledge, the company provides a range of outsourced sales, marketing and contact services for national and regional health plans, operates private exchanges for individual consumers and employer-based group retirees, and manages the largest exclusive Medicare lead generation marketplace in the industry. HPOne’s core differentiation is its exclusive focus on the health insurance industry, bringing innovative and performance-based solutions that address the most pressing challenges facing clients. With four state-of-the-art contact centers around the country and a management team with an average of over 15 years in the health insurance industry, HPOne provides its clients with the solutions they need to profitably grow and manage their business. For five consecutive years, HPOne has been named to Deloitte's Technology Fast 500™, a ranking of the 500 fastest growing technology, media, telecommunications, life sciences and energy tech companies in North America, earning a rank of 357 for 2016.\nHPOne is an Equal Opportunity Employer:\nHPOne is an equal opportunity employer, committed to employment equity throughout all levels of the organization. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin. We welcome and encourage diversity in the workplace. HPOne requires the necessary drug testing and background checks as part of our pre-employment practices.
## 12 Job Number: R0028592Data Science Lead, SeniorThe Challenge:Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.We have an opportunity for you to use your leadership and analytical skills to improve the Military operations community. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help our military leaders make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. As a technical leader, you’ll identify new opportunities to use data science solutions to help your customers meet their toughest challenges. Join us as we use data science for good in support of operations. Empower change with us.\nBuild Your Career:\nAt Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect:access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk\na chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition\nparticipation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government\nYou’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want, as you chart your own course for success.\nYou Have:-5+ year of experience as a data scientist-Experience with building statistical models and developing machine learning algorithms-Experience with managing a data scientist team-Experience with programming languages, including Python, R, Scala, or Java-Experience with big data technologies, including HDFS, Hadoop, or Spark-Experience with deep learning paradigms and frameworks-Experience with manipulating data and ETL in parallel processing and distributed compute environments-Experience with designing and executing machine learning models and applications-TS/SCI clearance-MA or MS degree\nNice If You Have:-2+ years of experience as a developer of Java, Python, R, or similar high-level languages-2+ years of experience with designing novel data analytic methods and workflows, including full data pipelines from raw data through analysis results-2+ years of experience in managing disparate data sources with varying data structures of content and preparing these for data science and machine learning applications-Experience in working with big data storage, processing, and computation, including one or more of the following: Accumulo, Spark, Storm, Kafka, or MapReduce-Ability to manage and manipulate large data sets, develop data science approaches, and manage data science tasks-Ability to leverage a wide variety of data science capabilities and languages-Ability to exhibit flexibility, initiative, and innovation when dealing with ambiguous and fast-paced situations-MA or MS degree in a Science, Technology, Engineering, or Mathematics field \nClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.CB13, CJ1, SIG2017
## 13 IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.What You’ll Be Doing:Developing, implementing, managing, and validating statistical-based custom analytics for pharmaceutical client engagements to help answer complex business questions\nAssisting the IQVIA Real World Insights and Commercial Services teams with use of appropriate data assets, methodologies, statistical techniques and delivery options to meet client information and analyses needs\nDesigning/documenting analytical plans and developing detailed programming specifications for the execution of the analysis plan\nCoordinating with off-shore statistical programmers throughout the project lifecycle to ensure accurate and timely delivery\nCollaborating closely with project managers to create timelines for the project and to ensure that project results and conclusions are presented accurately and without bias\nUnderstanding the contracted scope of work, proactively identifying potential out-of-scope activities and bringing to the attention of the project leader\nWorking with consulting principals and sales team on business development effort by providing ad-hoc feasibility reports, providing estimations of effort and developing methodologies that address client needs\nManaging the development work for urgent and/or complex projects requiring programming and statistical models in Python, R or other software packages\nBuilding expertise in cross-platform applications of IQVIA assets with a specialization in longitudinal pharmacy and medical claims data\nWhat We’re Looking For:Bachelor’s degree in a relevant field including statistics, mathematics, computer science, business analytics or other quantitative field. Master’s degree or doctorate preferred.\nTwo to five years of prior experience in operations research, market research, business analytics or applied statistics including manipulating larger datasets, conducting statistical analysis and deriving insights. Healthcare industry experience preferred. Job title commensurate with experience/education\nExperience using statistical programming languages (SQL, Python, R and/or SAS) to manipulate data and build statistical models. Experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, Impala, Spark, etc. is preferred\nKnowledge and experience with statistical and data mining concepts including one or more of the following: multivariate analysis, significance testing, regression, decision trees, clustering, forecasting, sampling, scenario analysis, simulation, advanced modeling and machine learning techniques\nPrior experience with healthcare data analytics leveraging patient-level/longitudinal healthcare claims data, electronic medical records (EMR) or related data is highly desired\nAbility to problem solve and develop innovative approaches along with a drive to learn and master new techniques and technologies\nStrong organization skills and ability to work on multiple tasks simultaneously while achieving quality standards and meeting deadlines\nExcellent written and verbal communication skills. Strong interpersonal skills and ability to work collaboratively across teams\nExperience visualizing/presenting data for internal stakeholders and clients\nJob ID: R1013697
## 14 At Vaco, we connect professionals with excellent career growth opportunities! Our recruiters help you get the advantage over your competition through our direct access to HR departments and hiring managers. We currently have an exciting opportunity for an experienced SAS Statistical Analyst. Apply with Vaco, and we will advocate on your behalf! We will promote your strengths and help prepare you for your interview by supplying you with key information about our client.Our recruiters will be able to provide great insight about trends in the market - keeping you up to date on compensation expectations, company culture and growth opportunities.***NO THIRD PARTIES - U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time***Responsible for code development for data analysis and reports. Will maintain existing models through model monitoring and refitting. Will design/develop new reports and analyses as needs arise and automate routine reports.Perform sample-sizing and statistical analysis in support of digital testing.\nConduct regression analysis, verification and validation.\nCreate visual representations of data findings (graphs, charts)\nBuild response models under the guidance of statistician, business analysts, etc.\nDevelop and maintain new program source code related to statistical analysis.\nEnact the automation of the querying and reporting of online transaction data.\nData analysis, identification of trends or issues, and preparation of feasible recommendations based on the results of statistical analysis.\nIdentify anomalies in data and collaborate with IT to resolve them.\nPerform ad hoc analyses and compile reports upon the request of customers.\nEnsure the success of daily data migration for customer-facing reports.\nREQUIREMENTS:Bachelor's degree in Statistics, Economics, Finance or combination of relevant education and work experience.\nAt least 3 years of professional SAS experience; Base SAS, SAS Visual Analytics, PROC SQL and SAS based ETL processes\nStrong programming and data analysis skills. Able to develop code to automate querying/reporting/scoring on Windows servers.\nExcellent verbal and written communication skills\nAble to perform in-depth analysis to uncover commonalities, patterns, anomalies, etc. in large amounts of online transaction data.\nAble to work independently in the mining of data and the troubleshooting of data issues.\nFamiliarity with basic statistical hypothesis-testing and predictive modeling methods.\nUnderstanding of various data visualization tools
## 15 DescriptionThe Senior Statistical Consultant is responsible for leveraging the statistical programming tools to mine various sources of data, analyze customer behavior and drive business decision making. Responsibilities: • Develop advanced predictive models to support business needs, such as prospect targeting, prescreen/ITA, new account nurturing, shopping-cycle, attrition, reactivation, and CLTV models. • Perform data mining and exploratory data analysis on large-scale customer, retail and credit transaction data, and assist in third-party data enhancement initiatives. • Derive customer insights and develop optimal marketing campaign strategy to address business needs, improve campaign effectiveness, and maximize ROI. • Lead and complete large complex modeling project end to end, document modeling process and results, develop presentations to summarize and communicate key findings to both internal and external partners. • Collaborate with other internal groups to understand business needs and develop cutting edge predictive analytical solutions. • Conduct researches to continuously improve predictive model methdologies/algorithms to achieve better outcomes Minimum Qualifications: Education Requirements: Advanced degree (Master’s or PhD) in Statistics, Behavioral Economics, Data Science, Applied Mathematics or other quantitative field. Work Experience: 3- 5 years professional hands-on experience in using SAS, R, Python or other data science tools to manipulate large-scale data and conduct statistical analysis. • Solid communication skills. • Outstanding critical thinking and problem solving skills. • Proven business acumen and the ability to identify and understand opportunities to implement analytical solutions to business problems. • Highly motivated to achieve and collaborative as well as innovative. Desirable Qualifications: • PhD in Statistics, Mathematics, Economics or related quantitative field (such as Engineering). • Experienced in bank card / credit card business, consulting, retail, marketing, loyalty, and/or financial services. QualificationsAlliance Data card services Alliance Data is a leading global provider of tailored marketing and loyalty solutions, delivered through branded credit programs that drive more profitable relationships between our brand partners and their cardmembers. We offer private label, co-brand, and commercial products to many of the world's most recognizable brands. We uphold our Know more. Sell more.® promise by leveraging unmatched customer insights, advanced analytics, and broad-reaching innovative capabilities. It's how we deliver increased sales to our partners, build enduring loyalty to their brands, and provide more value to our cardmembers. Alliance Data offers a competitive salary and a comprehensive selection of benefit options including 401(k). Alliance Data will consider for employment qualified applicants with criminal and credit histories in a manner consistent with all applicable laws. Alliance Data is an Equal Employment Opportunity employer. Alliance Data participates in E-Verify.\nTo learn more, visit www.KnowMoreSellMore.com/careers ...
## 16 \n\n\nGreeting from WinMax!!!\n \nWinmax System is a consulting company working with Direct Clients across various domains and technologies. We have an immediate opening for the following position with our direct client in Bay Area, CA. Please review the job description as below and respond with your updated resume and contact details at the earliest.\n\n\nData scientist / Machine learning Engineer\nContract Position\nSan Francisco, CA\n \n\n\n\n\nJob Requirements\n\n\nJob Description\n\nAble to design approach & evaluate options together with product manager / team leaders\nIn-depth experience with at least 3 different algorithms\nProgramming proficiency, but can have science / economics background\nSoftware engineering keywords: Python / Spark, SKLearn, Scala, MLLIB, R, SQL\n\nAlgorithms keywords: collaborative filtering, recommendations engine, search ranking, matrix factorization, xgboost, ….\nDuring interview need to show math understanding of the algorithms they implemented and be able to explain how they evaluate their models\nGood communication skills \n\n
## 17 Qualifications \nEducation & Experience Requirements:MS degree in Analytics, Statistics, or Mathematics fields and 3-6 years of Analytics experience or PhD degree and 2-4 years of Analytics experience\n2+ years of SAS programming experience in previous roles (SAS not substitutable with any other programming language).\nExpertise acquired through prior experience in applying statistical/mathematical techniques and Credit Risk management\nExperimental Design\nLinear/Logistic Regression\nTime Series Analysis\nForecasting\nDecision Trees\nMust be a proficient storyteller able to explain complicated statistical analyses, techniques, and results to non-statistical audiences of Director-level Executives and below.\nCapable of working and communicating directly with Manager-level and below to scope the technical needs of medium scale, medium-value projects and ad-hoc analyses.\nCapable of assisting in technically supervising junior level Statistical Analysts / Data Scientists\n\nBenefits, Privileges and Growth OpportunitiesWe offer over 31 Benefits and Privileges to include medical, dental, vision, 401k, cash balance retirement plan and more.\nWe are An Equal Opportunity Affirmative Action Employer, in fact, 'One of our strengths is found in our commitment to serve a diverse customer population with diverse teams of teammates. '\nOver 100 years of success is an indication of the stability our workforce enjoys.\n\nResponsibilities \nPrincipal Duties:\n1. Statistical Analysis / Data Science (95%):Builds new predictive/descriptive models, evaluate current effectiveness of old models, design experiments/campaigns and analyze the resulting data, perform post-hoc (correlational) analysis when experimental designs (causational analyses) are not feasible and explains the limitations of the results, advises analytical data programmers on quality and infrastructure needs/challenges, etc.\nModify and run code others wrote only when less experienced Analysts are unavailable.\nWrite code that will be run repetitively.\nWrite medium size blocks of code that is needed for the scope of work being done.\nTranslating analytical results, presenting to manager level and below, and making recommendations for improvements in the areas of application\nCreate and present technical results to business managers.\nCreates technical documentation of basic analyses.\nIdentifies and works with other more experienced analysts on data preparation issues (such as missing values and invalid data)\nCreates basic transformations of data independently and intermediate transformations with involvement from more experienced analysts\nApplies basic techniques for handling small sample sizes with involvement from more experienced analysts\nApplies basic techniques for handling interactions with limited involvement from more experienced analysts\nPerform medium scale statistical analysis or medium scale modeling projects independently or in collaboration with other Analysts.\nApply skills learned in previous roles to the business using SAS and further advance business skills.\nDepending on prior roles, may require formal training in some topical areas.\nPartner with more experienced Analysts on large scale modeling projects.\n\n2. Technical Supervision / Training / Development (5%)Technically supervising, mentoring, coaching, and training all less senior analysts on advanced statistical techniques and how to apply them to business problems\nNesco Resource is an equal employment opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status, or any other legally protected characteristics with respect to employment opportunities
## 18 Statistical Research SpecialistBACKGROUNDTennCare is Tennessee's Medicaid program providing health insurance coverage to 1.4 million low income children, pregnant women, disabled adults, and adult caretakers of children. TennCare currently covers one out of every five Tennesseans and 50% of all births, with an annual budget of $11 billion. TennCare partners with its managed care organizations (MCOs) to provide high quality integrated physical, behavioral, and long term care to its member. MISSION & TEAMOperationally, the Quality Oversight Division works closely with several TennCare divisions to lead development and execution of a comprehensive quality strategy. Additionally the Quality Oversight team plays a strategic role in TennCare initiatives focused on improving clinical care and outcomes for TennCare members, including primary care transformation and population health. Externally, the Quality Oversight Division works closely with TennCare's contracted organizations and other state agencies to provide oversight of quality performance and data reporting for TennCare members. The Statistical Research Specialist will be a key member on the Quality Oversight Data Analytics Team reporting to the Quality Oversight Data Analytics Director.TennCare's mission is to support a healthier Tennessee by improving lives through high-quality cost effective care. TennCare has been a leader in innovation through clinical care models and delivery system payment reform while promoting the delivery of high quality services within a sustainable budget. TennCare's Medical Office sits at the forefront of this mission to support clinical quality and operations, federal and state policy, and strategic innovation for the agency. The Quality Oversight Division is an integral team within the Medical Office that is responsible for monitoring, reporting, and leading innovative strategies focused on improving clinical quality and health outcomes. POSITION OVERVIEW & ESSENTIAL FUNCTIONSLeverage data and analytics to meet quality reporting requirements and provide insights for clinical quality improvement.Responsibilities will include:Evaluate quality measures at the individual provider or aggregate level using relevant information, individual judgment, and NCQA and CMS specifications\nCoordinate and support submission of yearly quality reporting metrics such as CMS 416 EPSDT rates and CMS Child and Adult Core measure set\nProvide analytical expertise to review and summarize complex reports for the evaluation team and others upon request\nQuery, collect, prepare, and safeguard data or information necessary for CMS, legislative, and other reports\nAnalyze and trend data to assess program participation and programmatic progress\nDesign and complete complex cost and outcome projections for various Quality Oversight programs\nPartner with clinical data lead to support Quality Oversight leadership in development of TennCare Quality Strategy\nPresent relevant reporting information or quality data, both formally and informally, to small and large groups\nSupports Quality Oversight and Medical Office leadership in quality strategy development\nHandles special projects as assigned by Quality Oversight Division Director\nProvide analytical support for Performance, Review, and Improvement, Population Health, TennCare Kids, PCMH, and Meaningful Use teams.\nDevelop methodology, SAS programming, and data visualization aids to provide actionable data to key stakeholders to inform TennCare strategic planning and improve clinical quality performance\n Minimum Qualifications A master's degree in statistics, applied statistics, social or behavioral sciences, health sciences, business, business administration, or public policy and 2+ years full time professional work developing research methodology and/or directing statistical research- OR -A bachelor's degree in statistics, applied statistics, social or behavioral sciences, health sciences, business, business administration, or public policy and 5+ years full time professional work developing research methodology and/or directing statistical research2+ years experience statistical and analytical experience using SAS and/or SQL \nStrong computer skills including mastery of Microsoft Office applications such as Excel, Access, Word, and Power Point, as well as statistical software applications\nStrong, clear, and concise oral and written communication skills\nStrong organizational skills, including the ability to prioritize, multi-task and manage workload to meet specific timeframes and deadlines\nDesirable QualificationsExperience in healthcare field and/or with quality measurement\nExperience in survey development and analysis \nExperience in Tableau or related data visualization software\nSalary/Range: Compensation and benefits arrangements are competitive and will be commensurate with the selectedcandidate's experience and responsibilities of this position. Pursuant to the State of Tennessee's Workplace Discrimination and Harassment policy, the State is firmly committed to the principle of fair and equal employment opportunities for its citizens and strives to protect the rights and opportunities of all people to seek, obtain, and hold employment without being subjected to illegal discrimination and harassment in the workplace. It is the State's policy to provide an environment free of discrimination and harassment of an individual because of that person's race, color, national origin, age (40 and over), sex, pregnancy, religion, creed, disability, veteran's status or any other category protected by state and/or federal civil rights laws.
## 19 Eurofins Bioanalytical Services is a powerhouse large molecule biotherapeutic-focused, bioanalytical contract research organization that, since its formation in 2003, has actively supported the evolving needs of companies that develop biotherapeutics. Eurofins Bioanalytical Services is searching for a Bioanalytical Statistician in St. Charles, MO. Bioanalytical Statistician responsibilities include, but are not limited to, the following \n : \n • Works within a team setting to participate in the development of statistical methodology to support client projects and advance company capabilities • Collaborates with specific clients on early study design, data analysis and interpretation of results • Uses existing statistical software and a variety of established statistical methods to gather, analyze, and interpret data to derive useful information for regulated and non-regulated clinical studies • Follows up with the market for identification of incoming new software with potential application to the business • Responsible for communicating project progress, synthesized findings from data, and technical hurdles with the client and project team • Formats data, develops and prepares reports, charts, tables, and other related documents and graphics • Understands and follows all procedures and processes required for work performed under Regulatory Compliance (i.e. GxP, FDA/GLP and GCP, OECD, CLIA, etc.) and attends annual GLP training • Independently manages multiple projects simultaneously • Trains personnel if necessary • Creates, maintains, reviews and approves SOPs, procedure manuals, templates, and other documentation • Maintains awareness of evolving trends in large-molecule bioanalysis • Functions effectively in a team-oriented atmosphere • Supports bioanalytical assay development, specifically, calculating cut point for immunogenicity assays, using statistical, graphing, and curve fitting software (e.g. R, SAS, JMP, and GraphPad) • Uses knowledge of statistical research principles, methods, procedures, and standards • Uses knowledge of experimental design, statistical sampling, and survey methodology • Formats data to develop and prepare reports, charts, tables, and other related documents The ideal candidate would possess \n : \n • Familiarity in developing and validating bioanalytical test methods for large molecules • Familiarity with global regulatory guidelines, expectations and corresponding industry best practices (GLP and/or GMP) • Experience with statistical, graphing, and curve fitting software (e.g. R, SAS, JMP and GraphPad) • Experience designing and interpreting ligand binding assay data • Educated in pharmacology or immunology • Ability to read, understand, and follow safety rules, standard operating procedures, maintenance instructions, and procedure manuals • Detail oriented, capable of working in a GLP/GMP environment and reviewing colleague / laboratory support documentation • Ability to provide guidance and mentor laboratory support staff • Highly proficient in using Microsoft Office programs • Expertise in immunogenicity is preferred • Experience working with multiplexing formats is a plus • Proficiency with Watson is a plus Basic Minimum Qualifications \n : \n • M.S. in statistics/biostatistics, Ph.D preferred, with 1+ year experience in a pharmaceutical or contract laboratory environment • B.S. in statistics/biostatistics may be considered with an appropriate amount of experience • Exceptional interpersonal, written and oral communication skills, especially with non-statisticians • Must be self-motivated and have initiative to undertake client projects • Authorization to work in the United States indefinitely without restriction or sponsorship Position is full-time, Monday-Friday, 8 a.m.-5 p.m., with overtime as needed. Candidates currently living within a commutable distance of St. Charles, Missouri are encouraged to apply. As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options. To learn more about Eurofins, please explore our website www.eurofinsus.com . \n Eurofins is a M/F, Disabled, and Veteran Equal Employment Opportunity and Affirmative Action employer.
## 20 Description:\n\n\n\nSelected\ncandidate will be hired into the level of role commensurate to their\nexperiences, education, and/or business needs.\n\n\n\nDescription\\:\n\n \nThe Biometrician II assists more senior level biometricians in providing statistical support to BIAH Research & Development groups including Biological Clinical Development, Pharmaceutical Clinical Development, Analytical Methods and Biological Research. Additional areas may include BIAH groups, such as Marketing and Sales or Operations, and to BI Animal Health Research conducted outside the US. The Biometrician II will contribute to projects within the Biometrics group.\n\nThe Biometrician III provides statistical support to BIAH Research & Development groups including Biological Clinical Development, Pharmaceutical Clinical Development, Analytical Methods and Biological Research. Additional areas may include BIAH groups, such as Marketing and Sales or Operations, and to BI Animal Health Research conducted outside the US. \n \nAs an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.\n \n\nDuties & Responsibilities\n\nProvide statistical analysis of study data from Pharmaceutical and Biological studies at the request and under the supervision of senior level biometricians. Annotate and validate analysis programs.\nContribute to Biometrics group discussions regarding randomizations, experimental design, primary outcome determination, and statistical methodology appropriate for R&D studies\nProvide study-related support including generation of Randomization Schedules, Power/Sample Size Calculations, and preparation for meetings.\nProvide support to biometrics team by conducting analyses of data, reviewing literature, evaluating statistical methods, and evaluating experimental designs. Present results, including overview on underlying statistics principles. Lead discussion in areas of a statistical nature.\nProvide support in identifying and evaluating alternative experimental designs, statistical analysis methods, and statistical methodologies.\nProvide support to Biometrics Group priorities and objectives. Work with team members to develop and refine group processes.\nDevelop successful working relationships with individual biometricians. As needed, interact with project teams, Data Management, Quality Assurance, Regulatory Affairs and Project Management. Further develop and improve presentation and communications skills, and ability to convey statistical information.\nBiometrician II Requirements\\:\nMaster’s degree from an accredited institution in Statistics, Biostatistics, or Biometry with work toward PhD OR a Master’s degree from an accredited institution in the above mentioned areas with two (2) to three (3) years of similar experience or equivalent.\nOne (1) to two (2) years industry experience preferably including clinical trial design and analysis in the pharmaceutical/biological industry.\nSound statistical theory and application of statistical methodologies in study design and analysis\nKnowledge of statistical theory and application of statistical methodologies in study design and data analysis required.\nDemonstrated ability in SAS programming and R, supporting the analysis of data using linear mixed models, generalized linear mixed models, survival and categorical methods.\nAbility to conduct power calculations, assess experimental designs, conduct analyses and provide interpretation of results.\nAbility to work successfully in a team environment to accomplish goals.\nAbility to effectively communicate statistical information to non-statisticians.\nAbility to work with biometricians to determine appropriate statistical analysis methods and efficient experimental designs to address project objectives.\nAbility to manage multiple tasks with differing priorities to meet time lines.\n\n\nBiometrician III Requirements\\:Ph.D. in Statistics, Biostatistics, or Biometry with sound statistical theory and application of statistical methodologies in study design and analysis, 1-3 years industry experience preferably including clinical trial design and analysis in the pharmaceutical/biological industry. Alternatively, M.S. in the above mentioned areas with 4-7 years of similar experience or equivalent.Knowledge of statistical theory and application of statistical methodologies in study design and data analysis required.Demonstrated ability in SAS programming and R, supporting the analysis of data using linear mixed models, generalized linear mixed models, survival and categorical methods.Ability to conduct power calculations, assess experimental designs, conduct analyses and provide interpretation of results.Ability to work successfully in a team environment to accomplish goals.Ability to effectively communicate statistical information to non-statisticians.Ability to write statistical aspects of study protocols, study reports, and publications.Ability to work with researchers to determine appropriate statistical analysis methods and efficient experimental designs to address project objectives.Ability to manage multiple tasks with differing priorities to meet time lines.Physical & Visual Dem\nands / Surroundings\\:\nLifting, carrying, pushing or pulling up to 25 pounds occasionally\nFrequent periods of sitting, walking, and standing\nMust be able to read and see clearly. \nVision clarity with or without correction to read handwritten as well as computer generated documents.\nEligibility Requirements\\:\nMust be legally authorized to work in the United States without restriction.\nMust be willing to take a drug test and post-offer physical (if required)\nMust be 18 years of age or older\n\nOur Culture\\:\n\n \n\n\nBoehringer Ingelheim is one of the world’s top 20 pharmaceutical companies and operates globally with approximately 50,000 employees. Since our founding in 1885, the company has remained family-owned and today we are committed to creating value through innovation in three business areas including human pharmaceuticals, animal health and biopharmaceutical contract manufacturing. Since we are privately held, we have the ability to take an innovative, long-term view. Our focus is on scientific discoveries and the introduction of truly novel medicines that improve lives and provide valuable services and support to patients and their families. Employees are challenged to take initiative and achieve outstanding results. Ultimately, our culture and drive allows us to maintain one of the highest levels of excellence in our industry. We are also deeply committed to our communities and our employees create and engage in programs that strengthen the neighbourhoods where we live and work. Boehringer Ingelheim, including Boehringer Ingelheim Pharmaceuticals, Inc., Boehringer Ingelheim USA, Boehringer Ingelheim Animal Health USA, Inc., Merial Barceloneta, LLC and Boehringer Ingelheim Fremont, Inc. is an equal opportunity and affirmative action employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender identity or expression; affectional or sexual orientation; disability; veteran or military status, including protected veteran status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.\n\n\n\nBoehringer Ingelheim is firmly committed to ensuring a safe, healthy, productive and efficient work environment for our employees, partners and customers. As part of that commitment, Boehringer Ingelheim conducts pre-employment verifications and drug screenings.\n
## 21 Grade: 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: To entertain the human race.It is the primary responsibility of Advanced Analytics Modeler who focuses on Data Integration to manage and develop data-centric solutions to support marketing initiatives and improve marketing and business decisions for Regional properties of MGM Resorts International's casinos and resorts. This position will provide hands-on experience for the development of analytics information architecture, analytics technology integration, and information delivery tools (Dashboards, Portals and Applications). Additionally, it will provide the design of the solutions and project directions for analytics data team in the resolution of issues, 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. All duties are to be performed in accordance with departmental and company policies, practices, and procedures.Analytics Information ArchitectureSupport and develop complex analytics data-centric projects.\nArchitect, develop and maintain high performance analytics model data integration in departmental data environment used by analytics team.\nEvaluate analytics solutions and their performance.\nDefine internal business processes and the information required to support internal processes.\nTroubleshoot and identify internal performance and scalability bottlenecks.\nAnalytics Technology IntegrationDevelop, implement and maintain an integrated analytics technology framework involves a combination of Teradata, SQL Server Analysis Services, SAS Enterprise Guide, SAS Enterprise Miner, Microsoft Power BI, SharePoint, visualization and dashboard tools, as well as other peripheral tools.\nCoordinate with I.T. to ensure correct analytics configuration, data quality/availability for on-going and potential analytics projects.\nAnalytics Information DeliveryDesign, implement and maintain an integrated analytics information delivery framework involves analytic portals, executive dashboards, and other supporting applications to marketing operation teams.Project ManagementUtilize project management, analytical expertise to improve internal performance.\nManage processes and timelines to facilitate the development, deployment, and enhancements of analytics projects.\nCollaborate with other analysts to define, communicate, and document on project development.\nTake 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.\nProvide junior mentorship to analysts to lift skills around accelerated delivery of new capabilities.\nOtherOther job related duties as requested.Required: Bachelor’s Degree in one of the following: Statistics, Computer Science, MIS, Engineering or related field or comparable work experience.\nAt least three 3 years of experience with SAS, SQL or Teradata databases development.\nExcellent customer service skills.\nHave interpersonal skills to deal effectively with all business contacts.\nProfessional appearance and demeanor.\nWork varied shifts, including weekends and holidays.\nHigh school diploma or equivalent.\nAble to effectively communicate in English, in both written and oral forms.\nPreferred:Master’s Degree in Computer Science, MIS, Marketing Research, Business Administrations (MBA), Statistics, Industrial Engineering or related field.\nAt least 3years of experience in data analytics environment using Machine Learning is preferred.\nPrevious experience managing analytics projects.\nPrevious experience in SAS, Python, or R Programming.\nPrevious experience working in a similar resort setting.\n#LI-DR1
## 22 As part of the application process, a candidate account is required to log in and view application(s). Please be sure to check email regularly for information regarding our employment process.Position Summary:Voya Financial is looking for an experienced Predictive Modeling Analyst to perform complex analyses and build sophisticated predictive models to generate knowledge about customers, products and operations.Position Description:Developing and maintaining predictive models using data mining and statistical tools\nPerforming complex data analyses, segmentation and profiling using a mix of 3rd-party and internal customer data\nDeveloping a deep understanding and working knowledge of Voya's suite of IT systems, data sources, and data models\nExpanding adoption of analytics by acting as an advocate and change agent for the application of data analytics\nDeveloping trusted partnerships with business stakeholders and subject matter experts\nPreparing and delivering presentations detailing results of analytics\nProviding strategic recommendations\nKnowledge & Experience:Required:Advanced analytics: the ability to apply appropriate analytical techniques and translate findings into actionable business insights and recommendations\nDatabase technologies: understanding of data warehousing concepts, with the ability to write complex SQL statements to store, retrieve, manipulate, integrate, validate, and summarize data\nStrong communications skills: both verbal and written, with the ability to explain complex concepts to non-technical audiences\nA team orientation: strong interpersonal and collaboration skills, with the ability to network with internal business partners across the organization\nBachelor’s degree in a quantitative or technical field, such as computer science, mathematics, engineering, or business\nSolid business acumen with the ability to quickly learn about Voya's core businesses (Retirement, Annuity, Insurance, Employee Benefits, Investment Management)\nExperience with big data and mining of unstructured data sources\nPreferred:Advanced degree (MS, MBA), with emphasis on quantitative analysis (e.g., statistics, operations research, data mining, artificial intelligence, machine learning)\nKnowledge of 3rd-party data providers (e.g., Experian, Acxiom), publicly available data sources,\nAnalytics work experience in one of Voya’ s core businesses\n#CB#LI-RM1Critical SkillsAt Voya, we have identified the following critical skills which are key to success in our culture: Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.\nCritical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.\nTeam Mentality: Partnering effectively to drive our culture and execute on our common goals. \nBusiness Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions. \nLearning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.\nLearn more about Critical Skills.
## 23 Join us on our exciting journey!IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.The IQVIA Advanced Analytics team is one of the leading healthcare analytical teams in the world. Joining the AA team provides the opportunity to work with extremely complex data and methodologies in a fast-paced, ever-changing environment. We seek highly motivated people who truly want to make a difference in the life sciences industry. At IMS, we look for the very best people, and then give them meaningful work to do. We don’t simply think about careers, we think about contributions.What We’re Looking For:Master's degree/Ph.D. in Statistics, Mathematics or related field with two to five years of experience OR a Bachelor’s degree and 7 years of experience in operations research, market research, or applied statisticsSAS and/or SQL programming experience\nExperience working with Patient-level and/or medical claims-level data\nTechnical skills/knowledge in one or more of the following: Health Economics & outcomes research, multivariate analysis, regression analysis and forecasting, sampling, data modeling, R programming, machine learning, SPSS\nExcellent communication and interpersonal skills\nWhat You’ll Be Doing:Provides statistical methodology and project management support in the delivery of standard and custom studies\nApplies appropriate methodology to studies using longitudinal data\nDefines statistical design and methodology to meet client information needs, conducts statistical analyses to derive conclusions from the study, and identifies new opportunities for standard reports and for value-added analytics\nImplements tactical study plans in answer to business questions, performs quantitative research, and provides written summaries of study results\nParticipates in selecting statistical methodology for use in the development and launch of new products\nGathers recommendations from others to develop research plans, identifying appropriate data sources, and delivery options in meeting client information and analyses needs. May have some client contact in support of project delivery\nWorks on projects where independent judgment is used within generally defined procedures and practicesManages all aspects of data loading, prep, and analysis on established IQVIA data assets (eg. Pharmetrics Plus, IDW US claims)\nExplains benefits and limitations as needed to IQVIA and client stakeholders\nActs as single point of contact for client teams for study requests, both translating client requests into rough analytic plans, then performing data preparation and statistical analyses with little oversight from technical or clinical groups within IQVIA\nWorks with resourcing in US and London to get appropriate resources to complete protocol writing and excess analytical support when needed \nIQVIA is an EEO Employer - Minorities/Females/Protected Veterans/DisabledWe know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes.Whatever your career goals, we are here to ensure you get there!We invite you to join IQVIA™.#LI-TF1#GLDJob ID: R1017496
## 24 Battelle is guided by a founding mission. We invest our knowledge, talents and resources, helping our customers achieve their most important goals. We apply scientific rigor and creativity, succeeding where others may fail, and we invest in our communities, making the world better for generations to come. All of us share a common purpose: to solve the greatest challenges of today and tomorrow.Our 22,000 employees work at the forefront of scientific innovation to tackle critical challenges in security, human health, manufacturing, energy and environmental management. Battelle’s work is grounded in the belief that science, technology and a passion for excellence can make industries more competitive and the world a better place.\n\nPrimary Function\n\n\nWe are currently seeking a Researcher Statistician / Data Scientist. This position is located in Columbus, Ohio.\n\nJOB DESCRIPTION\nFor over 35 years, our Advanced Analytics organization has been specializing in providing statistical analysis, modeling and informatics solutions in the areas of health, defense, environment, toxicological studies and other research areas. We are looking to add a data analyst to our growing team. \n\nMajor Responsibilities\n\n\nApplication of statistical models and machine learning methods Processing and combining data sets for analysis from diverse sources Summarizing data for internal and external reports Critically evaluating data for quality measures such as completeness, accuracy, and applicability, applying understanding of relevant research area nomenclature Recommending and implementing mathematically sound analyses and modeling on diverse data sources Communicating results in a clear, concise, and effective manner with emphasis on data visualization techniques Proactively managing expectations and meeting deadlines in a fast-moving, agile environment Maintaining excellent communication and interacting with co-located team members as well as geographically diverse team members daily Domestic travel on an occasional basis is anticipated\n\nMajor Responsibilities\n\n\n\nPosition Requirements\n\n\nMaster's degree AND 0-2 years with Statistics, Machine Learning, Mathematics, Data Analytics, Computer Science, or Engineering/Science (with strong coursework in statistics or machine learning) or a related data analytics field OR \n Bachelor's degree AND 2-5 years’ experience with degree in Statistics, Machine Learning, Mathematics, Data Analytics, Computer Science, or Engineering/Science (with strong coursework in statistics or machine learning) or a related data analytics field Strong course work in mathematical and statistical theory. Course work or experience demonstrating algorithmic programming and data visualization skills in Python, R, SAS, or Matlab. Excellent written and oral communication skills. Ability to obtain or maintain a DoD Secret security clearance.\n\nLegal Disclaimer\n\n\nThe above statements are intended to describe the nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, activities and skills required of staff members. No statement herein is intended to imply any authorities to commit Battelle unless special written permission is granted by Battelle's Legal Department.\nBENEFITSBattelle’s competitive benefits program includes comprehensive medical and dental care, matching 401K, paid time off, flexible spending accounts, disability coverage, and other benefits that help provide financial protection for you and your family.Battelle provides employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity, marital status, age, genetic information, disability, veteran-status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Battelle.For more information about our other openings, please visit www.battelle.org/careers
## 25 General Summary: The Senior Statistician is responsible for all phases of statistical model design, development, evaluation, and deployment for use in credit and residual risk assessment, ongoing evaluation of the markets and forecasting. Translate complex and analytical concepts into actionable results for the business. Communicate with business stakeholders and provide guidance and thought leadership for the appropriate use of analytical results and statistical models. Develop guidelines and procedures to ensure statistical models' quality, completeness and standardization of data. Measure/monitor losses and exposures, conduct root cause analysis and drive change where necessary. Mentor and guide junior staff. Essential Job Function: 1. Statistical Model Development Work with stakeholders across the organization to understand business needs and requirements and identify appropriate analytical solutions. Design and develop statistical models and procedures to forecast portfolio trends and profitability, including but not limited to credit and residual losses, probability of default, exposure at default, loss given default, current and future used car values. \n • Provide guidance and support for the implementation of statistical models working closely with IT, Credit, Collections, Servicing, Legal, Sales, FP&A, Legal and Global Risk Management. 2. Statistical Model Support • Analyze model output and provide business guidance and analytical leadership to ensure appropriate business interpretation and model use • Identify appropriate metrics and provide guidance and support to business owners for setup, validation and ongoing monitoring of statistical models • Work with Model Governance Team to support model validation. Respond to model governance findings and qualifications and perform additional analysis as appropriate. 3. Analytic Environment and Data Support • Work with other business units to understand business processes and ensure appropriate data collection and use both in predictive model development and for other analytics projects and activities. Work on improving data quality throughout the organization by collaborating with IT and other stakeholders. 4. Direct Internal and External Communication • Build and leverage long-term relationships through an established network across the organization. • Communicate with business leaders the insights gained through data analysis, including implications for business strategy. Prepare presentations and technical analysis for diverse audience (Senior Management to Junior Analysts). • Interface with cross-functional teams within HCA (Risk, Collections, Marketing, IT, Sales, etc.) for opportunities for collaboration. Build effective relationships with senior management as well as line managers. • Maintain awareness of automotive used and new car markets, economic conditions, and other qualitative and quantitative indicators that could affect business results and forecast accuracy • Stay current on developments and advances in statistical sciences and predictive modeling 5. Provide statistical and analytical support on special projects or assignments as required. 6. Perform all other duties as assigned. Qualifications:\n Knowledge and Skills: • Strong computing skills: SAS, UNIX, SQL, Microsoft Access, Excel, Word, PowerPoint, and relational database concepts. R, Python and/or Knowledge Studio would be a plus. • In-depth understanding of statistics and its applications. Proficiency in working with statistical principles. • Ability to collaborate and work effectively in a team environment. • Demonstrate strong presentation skills and ability to explain succinctly complex analytic concepts and results. • Ability to understand business objectives and their relationship to the importance of individual projects. • Ability to create comprehensive and clear documentation detailing statistical models and methods. • Deliver solutions to complex problems which require creativity and resourcefulness. Education and Experience: • Ph.D. or Master's Degree in Statistics or similar quantitative field of study (Mathematics, Financial Engineering, Physics, Economics) preferred; Bachelor's Degree with strong relevant experience considered. • 8-10 years of experience in statistical modeling and analysis. Physical Requirements and Working Condition: Employees in this class are subject to extended periods of sitting, standing and walking, vision to monitor and moderate noise levels. Work is performed in an office environment. Hyundai is an Equal Opportunity Employer M/F/D/V
## 26 Our client is currently seeking a APPLIED STATISTICIAN - SENIOR \nJob Description:\nThe contract statistician will provide support and develop new data science opportunities, expand existing methods, provide insights, and build practical solutions to complex business problems. You will apply advanced analytics skills to turn data into competitive advantage and make recommendations for data-driven business decisions. \nThe candidate will also actively collaborate with clients to design field experiments to test various farming practices and communicate findings to broad audiences. \nThe person should have a solid knowledge base in applied statistics, data interrogation and modeling data for research and production use. Candidate must be extremely self-motivated and possess excellent people interaction and communication skills.\n\nRequirements:\nMaster’s or PhD degree required with emphasis in Mathematics, Statistics, Engineering or Computation Biology \n2+ Years Working experience of basic statistical modeling approaches (ANOVA, regression, classification, sample size calculations) and machine learning techniques.\nStrong programming experience in R or Python.\nExperience presenting with PowerPoint \n\nDesired qualification/experience/skills:\nGood knowledge on field/farm experimental design will be a plus.\nFamiliarity with farming equipment, e.g., planters and combines. \n\nWhat will make this opportunity stand out for potential candidates? \nExtensive experience on application of all kinds of statistical analysis methods including conventional models and machine learning techniques on complicated experimental designs.
## 27 Job Number: R0033084Statistics and Probability AnalystKey Role:Conduct logical analyses of problems and formulate mathematical models of problems and potential solutions for analysis and recommendations. Prepare mathematical and predictive models of problem areas in one or several equations that relate constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters, including uncertainty and probability. Gather, relate, and identify data with variables in models by applying personal judgment and mathematical tests. Review operations and testing of models to ensure adequacy or determine needs for reformulation. Prepare written technical reports for management and clients, indicating solutions, recommendations, and range of possible alternatives in rank of preferability and probability of success. Work under supervision and perform work that is varied and that may be somewhat difficult in character.\nBasic Qualifications:-Experience with the collection and management of data, conducting exploratory data analysis, and building and operation of predictive models of various types-Experience with experimental design, sampling, and regression-Experience with statistical tools, including Microsoft Excel, R, Python, SPSS, SAS, Minitab, Crystal Ball, Risk IQ, or MATLAB-Ability to determine the appropriate probability distribution for a given data set and problem-Ability to take minimal direction and take the initiative to complete difficult analytic tasks to meet a business need-Ability to work as part of a team, coordinating with other analysts, engineers, data scientists, computer programmers, and business leaders-Ability to explain complex analytic results to non-technical stakeholders-Ability to obtain a security clearance-BS degree\nAdditional Qualifications:-Experience with data science techniques and toolsets-Experience with conducting risk analysis of programs and projects-Knowledge of cost and schedule analyses-Knowledge of NAVAIR, Naval Aviation, or DoD acquisitions-Ability to manage very large data sets, merge data sets, and clean complex and ugly data-Active Secret clearance-BS degree in Mathematics, Statics, Actuarial Science, Engineering, or a related technical field preferred; MS degree in Mathematics, Statics, Actuarial Science, Engineering, or a related technical field a plusClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.NMC
## 28 This position is open as of 10/21/2018.Senior Data Scientist - teaching & passion projects. REMOTE!Location: Work from home (though you must live in NYC) with 25-50% travel)Skills: Python, Machine Learning, Teaching experienceRole: Senior Data Scientist - corporate training, personal passion projects and business projects. We are passionate about Data Science and education and are looking for a Data Scientist who feels the same! We are a Data Science education company with customers across the globe. We offer training to corporations from start ups to Fortune 500s and everything in between.Top Reasons to Work with Us- Work with like minded people who are super passionate about data science and education- This role provides a unique mix of teaching, business projects and passion projects- We are a startup company owned by a global giant so you get the best of both worlds - that startup vibe but with security.- Competitive annual salary and full benefits.- Work REMOTE! (With 25% travel).What You Will Be DoingAs our Corporate Senior Data Scientist your role will be as follows:Instruction/Product Development:- Creating data science curriculum for corporate training clients- Delivering corporate training to small groups- Create pre-training skills assessments and methods to measure student learning outcomesPassion projects:- On an ongoing basis you will be able to spend approximately 20% of your time working on personal passion projects. Ever wanted to write a book, work on a personal research project? Maybe you'd like to learn a new skill? We give our data scientists time (usually at least 3 months per year) to work on projects in order to stay current in the industry, remain hands on and to drive role fulfillment. What's the catch? There is none - seriously.What You Need for this PositionMust haves:Machine Learning AlgorithmsPython3+ years INDUSTRY experience of data science A passion for teachingExperience teaching technical topicsAble to travel 25-50%Preferred (NOT essential):Ideally Masters or PhD in quantitative fieldWhat's In It for YouPerks of the Role:•Part of a team that is transforming education•Three paid months per year to sharpen skills and pursue passion projects•Competitive compensation package•Opportunity to network and develop, both among our internal Data Science speaker community, as well as through our parent company which is a global organizationSo, if you are a Data Scientist who wants to teach AND get paid to work on data science projects of your choice 20% of the time, please apply today!Required SkillsData Science, Python, Machine Learning Algorithms, Teaching technical conceptsIf you are a good fit for the Senior Data Scientist - teaching & passion projects. REMOTE! position, and have a background that includes:Data Science, Python, Machine Learning Algorithms, Teaching technical concepts and you are interested in working the following job types:Information Technology, Engineering, Professional ServicesWithin the following industries:Computer SoftwareOur privacy policy: Your resume and information will be kept completely confidential.Looking forward to receiving your resume through our website and going over the job in more detail with you!CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.Your Right to Work – In 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 verification document form upon hire.\n\nJob Requirements\n\nData Science, Python, Machine Learning Algorithms, Teaching technical concepts
## 29 Data Scientist Summary: 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. Responsibilities: Work closely with our business partners to support their department strategy. Implements this strategy by reviewing our various data sets to understand data trends.Perform strategic data analysis and research to better understand our customers.Ability to draw insights from multiple data sources to provide better visibility into safety/quality related issues.Develop analytical approaches to answer high-level questions and develop insightful recommendations.Demonstrate a client-service mindset and a desire to take on tough and challenging projects.Ability to balance the demands of multiple projects simultaneously.Additional Responsibilities: Mentor IT staff and business users regarding data mining and analysis procedures in order to ensure business goals and objectives are met.Assist in preparation and cleansing of data for analysis.Educate business users on advanced analytics best practices.Required Skills/Abilities Knowledge and understanding of statistical theory and machine learning techniques, including generalized linear models, survival analysis, decision trees, and clustering techniques.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.Prior experience with visualization tools such as D3.js, HTML, and CSS is a plus.Linux server-side application administration experience (RStudio Server, Shiny Server, RStudio Connect) a plus.Ability to work both independently and collaboratively.Excellent oral and written communication skills.Education/Experience BA/BS + 8 years of related experience
## 30 This position is open as of 10/21/2018.Marketing Data Scientist - Master of Science RequiredIf you are a Data Scientist with a Master of Science degree, please read on!We are a world famous company e-commerce company with excellent benefits and access to a massive amount of data that needs analyzing! Our Marketing Data Science team is looking for several Data Scientists. You and your team will collaborate with leaders and cross-functional teams such as engineering, product, and applied research.Your work will impact millions of customers. Read below and apply -- I would like to chat with you!What You Will Be DoingWork with large volumes of data to extract insights regarding customer journey and behavior.Reveal isight into pricing proposalsRedefine our bidding algorithms Present your findings to other stakeholdersBuild tools for scalable insightsWhat You Need for this Position- Master of Science in a Quantitative Field- 3+ Years of relevant work experience on top of your graduate degree- Python- R- SAS- SQL- HadoopWhat's In It for You- Travel Allowance- Fitness Allowance- Tuition Reimbursement- Sick days- Vacation/PTO- Medical- Dental- Vision- 401k - 6%So, if you are a Marketing Data Scientist with experience, please apply today!Required SkillsPython, R, SAS, SQL, HadoopIf you are a good fit for the Marketing Data Scientist - Master of Science Required position, and have a background that includes:Python, R, SAS, SQL, Hadoop and you are interested in working the following job types:Information Technology, Engineering, Professional ServicesWithin the following industries:Internet - eCommerceOur privacy policy: Your resume and information will be kept completely confidential.Looking forward to receiving your resume through our website and going over the job in more detail with you!CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.Your Right to Work – In 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 verification document form upon hire.\n\nJob Requirements\n\nPython, R, SAS, SQL, Hadoop
## 31 This position is open as of 10/21/2018.Data ScientistAI Technology Groundbreaking Startup!If you are a Data Scientist with strong experience in either (convex) Optimization, Stochastic Processes, Deep Learning or reinforcement learning, please read on!Silicon Valley based start-up, with an office in the Seattle area, we are on a quest to be the most powerful source of health & well-being on the planet. Using cutting-edge automation & transportation logistics we are developing better tools & processes. We can feed people healthier, sustainably-grown food, delivered fresh & free from chemical stabilization!This is a rare opportunity to get in at the early stages of a growing team, in a rapidly growing company. We're looking for one of the next leaders in the industry. If that's you, lets talk. Don't wait. Apply today. Interviews are going on now.•• Please answer all screening skills and questions in order to expedite the process. Application will be considered incomplete unless the screening skills and questions are answered. Incomplete applications cannot be submitted for further review. ••••• Please note that only qualified candidates will be contacted •••What's In It for You- Strong Base Salary- 100% company-paid Medical, Dental, and Vision for you and 75% for your dependents- Ownership via Stock Options- Flexible Time Off- Daily catered lunch- Free and discounted pizza!- The opportunity to work with an incredibly supportive team of thinkers and innovators- Dog friendly office!What You Will Be DoingThe problem we need to solve is a combination of Uber's ride scheduling problem with Amazon's autonomous supply chain problem, but to make things more tricky food needs to show up freshly prepared, so timing is critical. And that just the tip of the iceberg of where we're going. To scale we're going to need to solve lot of really hard problems that call for a world class data science team. That's where you come in.You should have a broad understanding of data science in general, but we're also looking for specialists in at least one of (convex) optimization, stochastic processes, time series, and machine learning. Graduate work in any of these fields is a plus. You'll need to be proficient in programming (python), and not afraid to get your hands dirty in implementation. Experience with hardware a plus, but not required.What You Need for this PositionWe are looking for an experienced data science with strong experience in either Optimization, Stochastic Processes, Deep Learning or reinforcement learning.- Degree in Computer Science, Applied Math, Statistics, or other scientific field. Graduate degree a plus- Experience building models on real world problems- Software development experience in pythonBONUS POINTS- Familiarity with hardware / robotics- Understanding of supply chains- Previous experience at a start-upSo, if you are a Data Scientist with strong experience in either (convex) Optimization, Stochastic Processes, Deep Learning or reinforcement learning, please apply today!•• Please answer all screening skills and questions in order to expedite the process. Application will be considered incomplete unless the screening skills and questions are answered. Incomplete applications cannot be submitted for further review. ••••• Please note that only qualified candidates will be contacted •••Required SkillsSoftware Development Experience in Python, Building Models on Real World Problems, Broad Understanding of Data Science, Familiarity with Hardware/Robotics, Reinforcement Learning, Stochastic Processes, Machine Learning, Deep Learning, Optimization, time seriesIf you are a good fit for the Data Scientist position, and have a background that includes:Software Development Experience in Python, Building Models on Real World Problems, Broad Understanding of Data Science, Familiarity with Hardware/Robotics, Reinforcement Learning, Stochastic Processes, Machine Learning, Deep Learning, Optimization, time series and you are interested in working the following job types:Information Technology, Engineering, Professional ServicesWithin the following industries:Food ServicesOur privacy policy: Your resume and information will be kept completely confidential.Looking forward to receiving your resume through our website and going over the job in more detail with you!CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.Your Right to Work – In 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 verification document form upon hire.\n\nJob Requirements\n\nSoftware Development Experience in Python, Building Models on Real World Problems, Broad Understanding of Data Science, Familiarity with Hardware/Robotics, Reinforcement Learning, Stochastic Processes, Machine Learning, Deep Learning, Optimization, time series
## 32 Job Number: R0034623Open Data Platforms Data StrategistKey Role:Integrate, manipulate, and manage vast amounts of data using the next generation of Big Data analytic solutions for clients and combine expertise in data management with innovation to deliver robust solutions that serve clients and stand apart from competitors. Interact with a multi-disciplinary team of analysts, data scientists, developers, and users to comprehend data requirements and develop a robust data processing pipeline that will ingest, normalize, enrich, and expose potentially billions of records per day to support advanced analytics. Collaborate with and contribute to open source software communities and ensure the quality delivery of software thorough testing and code reviews. Build and launch new data models that provide intuitive analytics to clients and design, build, and launch configurable data workflows to move data both small and large through a Big Data infrastructure. Analyze the design and development of new systems and tools to enable human users and software services to consume and process data faster. Identify new technologies to be injected into the platform to support advanced data integration and analysis.\nBasic Qualifications:-Experience in working with Python, R, and SQL-Experience with relational databases-Ability to learn technical concepts quickly and communicate with multiple functional groups-Ability to obtain a security clearance-HS diploma or GED\nAdditional Qualifications:-Experience with ETL tools, including NiFi and StreamSets-Experience with using Cloud services, including AWS and Azure-Experience with Agile software development-Experience with data modeling, data analysis, or schema design in data warehouses-Knowledge of RESTful services design, development, and testing-Possession of excellent oral and written communication skills-BS degree in CS, Computer Information Systems, Information Systems, or a related field-Security+ or CISSP Certification\nClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.
## 33 Data Scientist I - Hinsdale, IL, Louisville, CO, and Cary, NC\nWho We Are:\nNexant is a globally recognized software, consulting and services leader that provides innovative solutions to utilities, energy enterprises, chemical companies, and government entities worldwide. Founded in 2000 and headquartered in San Francisco, Nexant and its 500+ employees work from 32 global offices providing deep technical expertise and regional knowledge to improve customer engagement, boost operational efficiency, reduce costs and achieve superior business results.\n\nAbout the Job:\nWe are seeking a Data Scientist to fill a newly created position that will help utility clients adapt to a complex and changing energy landscape. This role will sit in Nexant’s Advanced Analytics consulting group which is comprised of econometricians, applied statisticians, and policy experts. The candidate chosen for this role will work in two main domains:\n1. Applying data science skills to address rapidly emerging grid modernization challenges including the integration of renewable energy resources, quantifying the benefits of grid resilience, asset management portfolio optimization, and improving customer engagement and satisfaction.\n2. Performing econometric evaluation of large-scale hourly usage data to support electric and gas utility demand response, energy efficiency, and behavioral conservation program efficacy.\n\nThis position provides the opportunity to help accelerate the transition to a cleaner and more efficient energy mix for electric utilities throughout North America. Projects commonly involve the analysis of hourly energy consumption data for hundreds of thousands (if not millions) of utility customers.\n\nSkills/Qualifications:\n· Master’s Degree\n· 2-3 years of work experience in one of the following disciplines: data science, economics, statistics, public policy with a quantitative focus, or computer science.\n· Programming experience using R or Python building regression, classification, or other statistical models\n· Demonstrated interest in the energy industry via prior work experience, coursework, or side projects\n· Strong written and oral communication skills\n· Must be able to travel locally and nationally up to approximately 10% of the time.\n\nPreferred Qualifications\n· Experience in the energy sector, through coursework or work experience, is highly preferred\n· Project management experience, including supervising junior staff and tracking budgets and deliverables, preferably in a consulting or client-facing environment\n· Familiarity with Stata, SQL, or Julia or other numerical programming languages\n· Coursework and/or practical experience in machine learning, applied econometrics and/or statistical program evaluation\n· Familiarity with the full data science stack, with a focus on machine learning, data visualization, and communication of complex results to a variety of audiences\n· Experience with model selection and validation methods\n· Real world experience scraping and/or munging large data sets.\n\n\nSalary and Benefits (U.S.)\nNexant offers competitive salaries based on candidate's qualifications. Nexant also offers three weeks paid vacation per year, eleven paid holidays per year, a 401(k) plan with employee matching funds and an overall comprehensive benefits package.\n\nAbout Nexant\n\nEvery day, Nexant employees partner with customers to reimagine the world we live in and create a more sustainable energy tomorrow.\n\nNexant, Inc. is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.\n\nJob Requirements\n\nDuties and Responsibilities\nü Use knowledge of utility data, organizations and priorities to advise clients on data-driven solutions to operational needs, regulatory mandates, and customer outreach\nü Leverage knowledge of the electricity and gas sector to select appropriate statistical and technical approaches to client challenges\nü Prepare reports, presentations, tools, and proposals explaining technical analytical methods and results to both technical and non-technical audiences\nü Project manage and/or support teams to deliver high-quality analysis while remaining on time and on budget\nü Take initiative to validate and troubleshoot data and statistical models\nü Coach junior staff to develop their data science skills\nü Participate in meetings, conference calls, and email exchanges with clients\nü Track energy industry trends and emerging issues
## 34 This position is open as of 10/21/2018.Chief Data Scientist - Machine Learning, Big DataIf you are a Chief Data Scientist with experience, please read on!We are a $3.2B startup that is looking for a Chief Data Scientist to build out a Data Science team. We have established ourselves as top in our industry in the US and are in the process of expanding internationally. To continue pushing forward we are looking to build a Data Science team and need the right leader in place to do so. Note: We are based in Nashville and looking for someone willing to travel each week or relocate.If you have extensive experience leading and building out Data Science teams, this is the position for you!What You Will Be Doing-Build out a Data Science team -Heavy in Machine Learning-Automate operations using predictive algorithmic recommendations-Data Analysis to understand and solve problems-Work closely with Business and Engineering teams-Code production modeling, implement algorithms into productionWhat You Need for this PositionMore Than 5 Years of experience and knowledge of:- Big Data- Machine learning algorithms- AI- Predictive Analytics- Distributed ComputingWhat's In It for YouSalary: Negotiable based on experience- Vacation/PTO- Medical- Dental- Vision- Relocation- Bonus- 401kSo, if you are a Chief Data Scientist with experience, please apply today!Required SkillsMachine Learning, Big Data, Algorithms, AI, Predictive Analytics, Distributed ComputingIf you are a good fit for the Chief Data Scientist - Machine Learning, Big Data position, and have a background that includes:Machine Learning, Big Data, Algorithms, AI, Predictive Analytics, Distributed Computing and you are interested in working the following job types:Information Technology, Engineering, Professional ServicesWithin the following industries:Consumer ProductsOur privacy policy: Your resume and information will be kept completely confidential.Looking forward to receiving your resume through our website and going over the job in more detail with you!CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.Your Right to Work – In 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 verification document form upon hire.\n\nJob Requirements\n\nMachine Learning, Big Data, Algorithms, AI, Predictive Analytics, Distributed Computing
## 35 Job Description 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.Typical Education & Experience Typically a Bachelor's Degree and 2 years work experience or equivalent experienceRequired Skills and Education 3-10 years of relevant Data Science experience - Ability to write scripts including Python and JAVA scripts. - Proficient with feature data services and data modelling. - Proficient with ESRI ArcGIS and ArcServer. - Proficient with geospatial database content management. - Proficient with data format conversion. - Knowledge of coordinate systems (latitude and longitude, UTM) and their conversions. - Knowledge of projections and their properties and conversions. - Knowledge of symbolization rules (how symbols are used to portray features) - Knowledge of generalization rules. - Minimum 2 years of experience working with data quality control tools including ArcGIS Data ReViewer. - Proficient with ESRI Workflow Manager WMX and TAM. - Experience working with geospatial data in a multi-user enterprise environment. - Demonstrated ability in writing SQL Preferred Skills and Education - Experience with combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photogrammetry, and digital data formats. - Demonstrated knowledge of Microsoft Access databases - Understanding of cloud architecture About BAE Systems Intelligence & Security BAE Systems Intelligence & Security, based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do—from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels. That’s BAE Systems. That’s Inspired Work. Equal Opportunity Employer/Females/Minorities/Veterans/Disabled/Sexual Orientation/Gender Identity/Gender Expression. To see Inspired Work in action, visit www.baesystems.com and follow us on Facebook: www.facebook.com/baesystemsintel.
## 36 The Allegis IS Connected program is looking for a Data Scientist for their Search and Match Team. Connected is an agile run project broken into streams of work/teams: ATS, Communities, CRM, Marketing Automation, Search & Match and SOA. Overall goal is to combine all operating companies on a single platform (Salesforce) for ATS, Communities, CRM, Search.One of the goals for Connected is to take search to the next level. To do this, they want to provide a more integrated, cross-platform search experience. Right now, they have many different systems with many different search boxes running on many different search engines. Search & Match is broken up into two different groups - Insight & Intelligence and Feature Teams (3). This resource will be a part of Insight & Intelligence. Insight & Intelligence focuses on proof of concepts, data science, making sure user stories are properly groomed and overall, be the "think tank" for Search & Match. The Data Scientist supports the organization's growing machine learning and natural language processing initiatives. Analyzes large datasets to help improve models. Runs analytical experiments in a methodical manner. Utilizes natural language processing to process unstructured documents for data analysis. Responsible for identifying and implementing innovative and efficient models that will advance the business.This position is a key member of a product delivery team, interacting with Product Owners, Analysts, Developers, QA testers, Architects, Scrum Masters, Vendors, and more. Thus, supporting business applications by designing, implementing and modifying application programs from detailed specifications and ensures that improvements are successfully integrated into the existing systems. Develops the data science behind critical business applications and analyzes logic in existing applications. Develops proof-of-concepts and user interface prototypes.The Individual has expanded beyond practical applications of the discipline to knowledge gained from guiding how Allegis should apply the principles and concepts within the discipline and interpreting the complexities of the discipline.Essential Functions:* Plans, designs and develops Enterprise Search applications. Writes program specifications using a variety of languages and platforms such as Java, Elasticsearch, Hadoop, and Cloudera* Codes, tests and supports existing and new systems and applications using Agile techniques* Writes functional and design specifications for applications as identified by users and/or management* Maintains a working knowledge of new technologies and adopts suitable concepts for the organization* Create level of effort (LOE) and duration estimates for assigned work. Proactively manage activities to meet those expectations* Ensure unit testing of application development work is correctly completed* Streamlines existing applications and systems to ensure integration and ease of use* Provide development support for analysis and functional and load testing* Eliminates errors in computing environment for smooth operation and functionality* Designs and implements templates, databases and interfaces that fulfill user requirements* Communicates project status, issues and resolutions with appropriate stakeholders* Documents testing and system corrections in compliance with security standards* Communicate and work with graphic developers to create user interfaces* Problem diagnosis and resolution* System maintenance and after-hours support, as needed* Monitors systems' technical performance and identifies trends in operating outputSkills/Abilities:* Requires depth of expertise in data science to be able to guide others in the application of principles and concepts and to interpret complexities, nuances.* Expert-level understanding of databases, data structures, and data analysis* Experience with machine learning models* Experience with natural language processing a plus* Experience with Apache Hadoop or other NoSQL database solution preferred* Experience with Python, R, or Scala for data analysis* Assist with establishing protocols and processes for the discipline* Sufficient knowledge to guide the application of best practices within Information Services* Uses industry understanding to drive decision-making beyond best practices* Interprets internal/external business challenge, assesses current/industry practices and selects best practices to improve products, processes or services* Works independently, with guidance in only the most complex situations* Anticipates and solves complex problems; uses sophisticated analytical thought to exercise judgment and identify solutions* Impacts the achievement of customer, operational, project or service objectives; work is guided by Information Services policies* Communicates difficult or sensitive concepts and works to build consensus* Understands issues related to scalability and reliability, including globalization* Data Science certification or graduate degree preferredAbout TEKsystems:We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please call 888 472-3411 or email accommodation@teksystems .com for other accommodation options.
## 37 We are currently looking for multiple Data Scientists for a large financial company in the Charlotte area. This position is contract to hire and sits 100% on-site. Please send your resume to [Click Here to Email Your Resumé] if this is something you are interested in. It will move quickly!\n\nJob Description:\nResponsible for enabling analysis, modeling, and optimization through producing information products. Involved in the research and development efforts. Primary requirement is not related to traditional programming or systems analysis skills, but to the ability to support the creation of sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research. These systems must overcome issues of complex data (e.g., VLDB, multi-structured, 'big data', etc.) as well as deployment of advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to deliver insights. This role often possesses a degree in hard science or another heavy quantitative business or social discipline. Able to work independently or in a team on complex projects.\nResponsibilities:\nThe Data Scientist will be responsible in assessing AI (Artificial Intelligence) solutions implemented across the bank (built internally or externally) to identify any risks which may have unintended consequences. Thereby, assisting Bank of America to follow principles of Responsible AI (Fairness/Equality/Justice, Privacy, and Transparency).\nReview, critical assessment and challenge of models on conceptual soundness, assumptions and limitations, data, developmental evidence in support of modeling choices, performance and implementation.\nUnderstand the core methodology in AI solutions and the context in which it will be deployed so as to find risks/gaps\nDevelop efficient methodologies to detect and to quantify risks/gaps in AI solutions\nSuggest alternative approaches or controls to mitigate risks/gaps identified\nDevelop and implement testing plans and testing code in order to challenge models through empirical analyses and to verify model implementation\nCreate metrics to quantify risks/gaps specific to each AI solution and define thresholds after consulting with all stakeholders\nMonitor metrics for breach of thresholds\nLook for unexpected risks / unintended consequences of an AI solution over its life cycle\nWrite technical reports for distribution and presentation to model developers, senior management, and audit\nRequired Skills:\n2- 3 years of professional experience as a Data Scientist or related roles\nExperience with Machine Learning/Deep Learning techniques like Linear Regression, ARIMA, Decision Trees, Gradient Boosted Trees, PCA – Factor Analysis, Clustering, SVM, CNN, RNN-LSTM, NLP- GloVe/Word2Vec etc.\nProgramming experience using SAS / R/ Python required\nKnowledge of model performance measures required\nDesired Skills:\nPhD or Masters in a quantitative field such as Mathematics, Physics, Finance, Engineering or Statistics or Equivalent work experience.\nKnowledge of financial instruments and financial risk management principles is beneficial\nAbility to understand and implement techniques discussed in AI research papers (academic and technical)\nBackground in Audit/ Model Risk Management/ Legal/Compliance areas are preferred\nCandidates with certifications like CFA, FRM are preferred\n\n\n\n\n\n\n\n\nEEO Employer\nApex is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at 844-463-6178
## 38 JOB DESCRIPTION: Job Duties - Extract data from a variety of relational databases, manipulate, explore data using quantitative, statistical and visualization tools. - Work on Distributed file system and Big Data technologies like Hadoop, Advanced and Statistical Analytics, Real Time analytics. - Conduct statistical analysis using appropriate tools and advanced techniques. - Work on the acquisition, management, and documentation of data (including geo-spatial data). - Work on NTTDATA's Big Data accelerators and Visualization Framework. - Data wrangling of heterogeneous data to explore and discover new insights. - Participate in proposal writing, client deliverables. - Assist business development teams with pre-sales activities and RFPs. - Identify appropriate analytic and statistical methodology; develop predictive models and document process and results. - Work on NTTDATA's Big Data accelerators and Machine Learning Framework. - Process unstructured data into a form suitable for analysis. - Gather and process raw data at scale (including writing scripts, web scraping, calling APIs write SQL queries, etc.). - Work with business and cross-functional teams to thoroughly document reporting processes and systems. - Work on Distributed file system, DSaaS, SaaS, PaaS and cloud computing services like AWS. - Work on emerging big data technologies and reporting requirements. - Create visualizations from data / GIS data analysis. Qualifications 5-7 years of experience manipulating data sets and building statistical models. 3+ years experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. 3+ years experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc. Strong problem solving skills with an emphasis on product development. Experience working with and creating data architectures. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
## 39 RESPONSIBILITIES:Kforce has a client in search of a Data Scientist in Columbus, Ohio (OH).Summary:The advanced analytics department is responsible for supporting customer insight, website analytics, and campaign analysis to provide strategic recommendations to cross-functional partners within the Company's Direct business unit. The team leverages a relational database and various analytic tools to query, segment, understand, and communicate data.The department's work is divided into four main focus areas: Web analytics and customer insight to support the site merchandising team\n Analysis of customer data to support marketing strategies and objectives\n Test design, implementation, and analysis to support learning objectives of the business\n Executional work to support customer experience across multiple channels and platforms\nThe analytic consultant will be primarily responsible for converting business questions from cross-functional partners into insights and actions. This will be accomplished through extracting data from existing data sources (transactional and customer databases) as well as summarizing the findings. The analytic consultant will primarily support and interact with the company direct advanced analytics team.Responsibilities: Analyze transactional and customer data, perform cross-tabulations and statistical analysis, provide insights into purchasing patterns, and develop hypotheses about trends\n Responsible for both recurring/standardized reporting as well as ad hoc projects\n Perform independent data mining and database research to identify customer opportunities\n Execute against marketing campaign strategy by querying and segmenting the customer database\n\nJob Requirements\n\nREQUIREMENTS: Bachelor's degree in Marketing, Finance, Accounting or other related discipline, or equivalent experience; Experience with retail or customer analytics preferred\n Demonstrated analytic skills (ROI, profitability, customer segmentation, etc.)\n Database and data analysis experience required: demonstrated use of Relational Databases and SQL programming. Familiarity with Teradata databases a plus\n Proficient SAS programmer (SAS certifications a plus)\n Proficient with MS Excel, MS PowerPoint\n Must be able to take verbal business requirements and convert them into results\n Must be able to quickly translate data into concise and insightful executive summaries\n Must be an effective project manager; This position requires an individual who is able to manage multiple projects simultaneously\n This individual must also be able to work independently in a fast-paced, high- energy environment; The ability to multitask will be a key to success\n Strong written and verbal skills are a must\nKforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status
## 40 Diversant has multiple needs for Data Scientists for one of the top investment banks in your area. My client is one of the top 3 largest banks by assets.This is a potential contract to hire. We can work W2 ONLY – h1b sponsorship and gc processing is available for qualified candidates. We provide referral bonuses as well. I am a preferred vendor, and a top performing vendor at my client. Further, we have direct lines of contact with most of our managers and will be able to set up interviews asap.Roles in Rockville W2 18 month contract Please include two references for Submittal (peer or manager)\nKey Responsibilities:Job OverviewWe are looking for a Data Scientist who will support our products and business teams with insights gained from analyzing market surveillance 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.Regards,Andrew LoehwingDIVERSANT LLCTechnical Recruiter61 Broadway, Suite 1702New York, NY 10006[Click Here to Email Your Resumé](212) 710-5535 View all of our open job requirements on our home page http://www.diversant.com under *Job Search*. If you know any IT Professionals who are looking for new job opportunities, please pass along my contact information! DIVERSANT (diversant.com) is one of the largest African-American owned IT staffing firms in the U.S. We offer rewarding career opportunities with many of the nation’s leading corporations. Our experienced recruiters understand what hiring managers look for in a candidate and provide our applicants with the proper support and guidance along the entire application and interviewing process. We offer opportunities on a contingent, contract-to-hire, and direct hire basis. At DIVERSANT, we are committed to providing the highest level of service and satisfaction to our customers, consultants, and employees. DIVERSANT 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, DIVERSANT complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
## 41 RESPONSIBILITIES:Kforce has a global Fortune 100 RTP area seeking a Senior Data Scientist onsite in Raleigh/Durham, NC. This role will be working with both internal and external clients in a fully Agile/SCRUM environment solving a wide variety of data intensive problems.\n\nJob Requirements\n\nREQUIREMENTS: Bachelor's degree or equivalent in Technology, Computer Science, Mathematics or Statistics; Master's or equivalent preferred, PhD is a plus\n 10+ years of IT experience, last 3+ as a Data Scientist \n Passion for data science, problem solving and the scientific method\n Superior written and oral communication skills\n In depth experience with Machine Learning, Deep Learning, Natural Language Processing (NLP), Predictive Modeling, Descriptive Models, Decision Trees and Artificial Intelligence \n Hands on technical skills with some of the following: Python (required), R, Apache Spark, Sci-Kit Learn, SPSS Modeler, Hadoop\n Experience with large scale AI platforms such as Salesforce Einstein, Seebo, LivePerson, IBM Watson, Maana Knowledge Platform, Azure Machine Learning Studio, etc. is highly desired\nKforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status
## 42 The Data Scientist will have previous experience working with statistical and/or predictive model development and large-scale implementations of statistical methods to build decision support or recommender systems will enable you for this role. The Data Scientist will need to be innovative and entrepreneurial to work within a "start-up like" environment. Ability to work independently and oversee mid-level analysts. Must have a demonstrated track record of solving quantitative problems. The Data Scientist will: Design, develop, build classifier and implement quantitative models. Perform exploratory data analysis to identify attributes and applies predictive analytics techniques including information retrieval, machine learning, network analysis and data mining\nResearch, test, build, and perform data transformations for data reduction and variable analysis of risk analysis to implement statistical techniques. Design and develop new models or refresh to existing software.\nCollaborate with project teams and stakeholders to identify client requirements.\nPerform reporting analysis on modeling gains and impact analysis.\nImplement modeling features and methods to develop custom architectures and application integration for program execution.\nAct as team leader on projects.\nInstruct, assign, direct, and check the work of other software developers on project team.\nMinimum Skills Qualifications: 2+ years of experience conducting data analytics with AI, machine learning using R and Python Use of open source data analytics frameworks\n2+ years of experience with threat analysis, risk assessments and analytical studies\nBachelor's degree from accredited university or related work experience S. citizenship and clearable for Federal background investigation\nPreferred Skills:Master's degree from accredited university or related work experience Experis is an Equal Opportunity Employer (EOE/AA)
## 43 JOB DESCRIPTION: Day to Day job Duties: (what this person will do on a daily/weekly basis) Evaluate trends, characterize factors, develop predictive models, and identify optimization opportunities.Provide accurate, timely, relevant and quality analysis that translate data into sound organizational decisions.Research, design and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems.Build tools and support structures needed to analyze data, perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.Work with development teams & business groups to ensure models can be implemented as part of a delivered solution replicable across many clients.Present findings to stakeholders to drive improvements and solutions from concept through to delivery. Basic Qualifications: (what are the skills required to this job with minimum years of experience on each) Data Scientist-Hadoop: 3-5 yearsStrong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, C/C++) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their workSQL programming skillsExperience with design and implementation of analytic models and methodologies for new applications.Experience with data visualization tools (e.g. Tableau)Experience with large and complex data setsDemonstrated ability to propose novel solutions to problems, performing experiments to show feasibility of their solutions and working to refine the solutions into a real-world contextStrong analytical, written, and verbal communication skills Travel: Need Locals Degree: Bachelors in Computer Science or equivalent work experience Desirable Skills / Experience: PhD in computer science, computer engineering or MS with 3+ years of experience in related field.Deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problemsDesired interdisciplinary skills include big data technologies, ETL, statistics and causal inference, Deep Learning, modeling and simulationBreadth of skills and experience in machine learning - diverse types of data, diverse data sources, different types of learning models, diverse learning settingsExperience in Healthcare domain
## 44 Job Description:Leidos is seeking a Data Scientist Journeyman to support our a customer in Springfield, VA. Active TS/SCI is required for consideration.The Data Scientist will analyze actual and predictable interacting operational activities of give 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. Devises 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. Identify and evaluate standardized methods, models and algorithms to address intelligence problems of limited scale as directed. Provide documentation for methods and algorithms use in data science solutions to the client and address outstanding items. Must have demonstrated good oral and written communication skills. The successful candidate will work as a member of a government-contractor team providing data research and analysis to solve intelligence problems.MINIMUM REQUIRED SKILLS:Bachelor's Degree in a quantatative discipline such as data science, mathematics, statistics, earth science, GIS, computer science, physics or other scientific field and 3-10 years of relevant experience with data processing and analysis of large datasets and machine learning\nActive TS/SCI Clearance required\nAbility to conceive and prepare thorough, well-articulated tactical or strategic data science products\nAbility to identify, retrieve, manipulate, relate and/or exploit multiple structured and unstructured data sets from various sources\nAbility to identify problems to which data science can be applied and initiate appropriate solutions\nAbility 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\nDemonstrated strong writing and oral communication skills\nExtensive knowlege of programming languages (e.g. Python, Java, JavaScript, SQL, Pig or R), spatial analysis tools and concepts, data mining methods, database structures and analytic information extraction and visualization.\n"External Referral Eligible"MACS
## 45 Job Description:Job Summary:Provide human capital data analytics support to CHCO. Primary Responsibilities:Provide expert and professional data scientists to implement effective and innovative solutions meshing disparate data types to discover insights and trends in human capital information. Perform work on a data science team to advance HCA across the IC. Centralize IC CHCO data collection and synthesis, including survey data, enabling strategic and predictive analytics to guide business decisions.Develop or utilize complex programmatic and quantitative methods to find patterns and relationships in data sets; lead statistical modeling, or other data-driven problem-solving analysis to address novel or abstract business operation questions; and incorporate insights and findings into a range of products. Create detailed write-ups of processes used, logic applied, and methodologies used for creation, validation, analysis, and visualizations. Write ups shall occur initially, within a week of when process is created, and updated in writing when changes occur. Adapt freeware solutions such as R, and modular solutions for maximum flexibility. Provide an advanced capability for data analysis of human capital information from disparate data types, promoting visualization and storytelling to discover insights that help guide business decisions. Be forward leaning, exploring HCA solutions that benefit IC elements individually and collectively. Let the data tell the story including what is inconsistent or contradictory, and automate data cleansing as much as possible. Integrate data solutions and collection with IC Information Technology Enterprise to enhance connectivity with IC Elements. Identify and customize, if necessary, Commercial Off The Shelf (COTS) Information Technology (IT) tools for administration and data collection, or to leverage, support, and integrate the process with tools built for the IC and/or its component elements. Any tools developed shall be web-based and web-enabled, designed to maximize feedback effectiveness while protecting employee assessment information, and include both structured interview and web-based tools for gathering feedback. Assist in the development and maintenance of financial procedural guidance, templates and data formats, for identifying IC-wide workforce numbers, to include government, military, and contractor support. Review, assess data, identify data deficiencies and recommend solutions for remediation. Support quantitative and analytic efforts for workforce planning, development of financial procedural guidance data formats related to the Congressional Budget Justification Book (CBJB) planning displays, and analytic support for budget management and planning. Assist with ad hoc data requests from Congress, IC elements or as required by IC CHCO.Coordinate and facilitate community of practice and working group meetings, to include meeting logistics, agenda development and presenter coordination, day-of execution and facilitation, documentation and distribution of meeting minutes and presentations. Present or coordinate presentations on relevant topics as directed by IC CHCO.EDUCATION & EXPERIENCE: Requires BS degree and 8 - 12 years of prior relevant experience or Masters with 6 - 10 years of prior relevant experience. May possess a Doctorate in technical domain.Basic Qualifications:10+ years relevant IC experienceDemonstrated knowledge of the Intelligence Community mission and understanding of the human capital life cycle activities and relationships.Demonstrated experience performing data analysis and modeling on an independent (i.e., without significant guidance or direction) basis.Demonstrated experience in developing and applying quantitative methods to find patterns and relationships in large human capital data sets (such as the Human Capital Data Call, Foreign Language Data Call, FAIR act data, etc.) using statistical and graphical packages.Applied knowledge in the mathematical sciences such as probability, statistics, predictive modeling, computational social sciences; computer programming such as but not limited to Python, R, SAS, SPSS; and COTS data visualization packages such as but not limited to Tableau. Experience with Oracle Database and Procedural language/Structured Query Language (PUSQL).Preferred experiences include but not limited to C#.NET, ASP.NET Model View Controller (MVC), jQuery, and Cascading Style Sheets (CSS), etc.Demonstrated experience with structuring data, natural language processing, database technologies, and machine learning algorithms.Ability to translate complex, technical, or analytic findings into an easily understood narrative - tell a story with the data in graphical, verbal, or written form.Expertise in supporting quantitative and analytic efforts and knowledge of workforce planning. Experience should include engagement with the Intelligence Community and expertise with using analytical software.Demonstrated professional experience in developing quantitative financial analysis related to budget formulation and execution. Experience in development of financial procedural guidance data formats related to CBJB workforce displays and analytic support, resource management and planning.Demonstrated experience in human resource management supporting the federal government.Demonstrated experience in the use of programming, design, development, and implementation of online and automated survey instruments.Bachelor's or advanced degree in social sciences or related fields and requisite experience. Related fields may include statistics, mathematics, computer science, physical science, economics, or engineering
## 46 Our client is currently seeking a Analytics Data Scientist - Machine Learning This job will have the following responsibilities: Quickly explore new analytical technologies and evaluate their technical and commercial viability. \nWork in 4-week sprint cycles to develop proof-of-concepts and prototype models that can be demoed and explained to data scientists, internal stakeholders, and clients. \nQuickly test and reject hypotheses around data processing and machine learning model building. \nExperiment, fail quickly, and recognize when you need assistance vs. when you conclude that a technology is not suitable for the task. \nBuild machine learning pipelines that ingest, clean data, and make predictions. \nStay abreast of new AI research from leading labs by reading papers and experimenting with code. \nDevelop innovative solutions and perspectives on AI that can be published in academic journals/arXiv and shared with clients. Qualifications & Requirements: Minimum Degree Required: Bachelor’s, Master’s, or PhD in Engineering, Economics, Statistics, Math, Computer Science, Informatics, Operations Research, or other quantitative disciplines Knowledge Preferred: Demonstrated ability to continuously learn new technologies and quickly evaluate their technical and commercial viability Demonstrated ability to apply machine learning techniques for addressing a variety of problems (e.g. consumer segmentation, revenue forecasting, image classification, etc.). Understanding of machine learning algorithms (e.g. k-nearest neighbors, random forests, ensemble methods, deep neural networks, etc.) and when it is appropriate to use each technique. Programming: Python, R, Java, JavaScript, C++, Unix\n\nHardware: sensors, robotics, GPU enabled machine learning, FPGAs, Raspberry Pis, etc.\nData Storage Technologies: SQL, NoSQL, Hadoop, cloud-based databases such as GCP BigQuery, and different storage\nformats (e.g. Parquet, etc.)\n\nData Processing Tools: Python (Numpy, Pandas, etc.), Spark, cloud-based solutions such as GCP DataFlow\n
## 47 \nOverview\n\nDo 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!As 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.\n\nResponsibilities\n\nQualified applicants would preferably have 2+ years’ experience in the following skill areas:Python and R\nMachine learning algorithms (i.e. GLM, Boosting, Deep Learning, etc...)\nModel performance measures and validation techniques (i.e. K-fold cross-validation, train/test split, etc...)\nSQL and relational databases (both transactional and analytical environments)\nDeploying predictive models into production\nCollaborative development and version control systems (i.e. Git)\nUnix-like operating systems and comfort in the shell environment (i.e. Bash)\n\n\nJob Requirements\n\nBonus points for experience in:Deep learning frameworks like Tensorflow or PyTorch and associated high-level API’s like Keras\nnumpy, pandas, sklearn, matplotlib\ndplyr, data.table, ggplot2\nWeb-application development (Javascript, Node, Flask, Shiny, etc.)\nWeb-scraping\nHadoop-related components and tools (HDFS, Hive, Impala, Sqoop, Solr, etc…)\nStrong performance in a Kaggle competition (top 10%)\nSignificant contributions to an open-source project\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!
## 48 Top Three Skills:HadoopOraclePython Job Description: * Build robust data pipelines and models on cloud technologies* Process, cleanse, and verify the integrity of data used for analysis; process unstructured data and optimize for consumption* Develop data set processes for data discovery, modeling, mining and archival* Extract and process big data at scale using shell scripting, querying, calling rest APIs, etc.* Perform complex data analysis with large volumes of data* Maintain and monitor cloud performance and provide solutions for effective parallel computing on cloud* Collaborate with data scientists, architects, modelers and IT team members to build new analysis tools and metrics Work Environment: Work will be 90% in Duncan onsite, office environment. Minimal travel to Houston and work site. Qualifications: * Minimum of a Bachelor's degree with 3 years of direct experience* 3+ years of experience in big data analytics, management, consulting or comparable role* Expert level proficiency with big data technologies such as Hadoop, Spark, Hive/Pig, MapReduce, HDFS* Strong knowledge of relational databases such as Oracle, MySQL, Microsoft SQL server, Postgres SQL* Strong scripting ability in bash and/or Python* Experience with Java, Scala, R and/or Python Performance Expectations: Performance is based on the ability to process data, verify integrity and offer solutions with the data. Interview Information: Interview will be with EASI Practice Engineer. Resume review from client. Additional Compensation: Additional Information: Questions:What is your greatest strength? What was your undergraduate degree in?Have you had any experience in Spotfire?Technical analytics/ visualizations in Spot/fire and build it in ClickviewWhat experience do you have with machine learning/ AI tools?Text mining extracting information from freeform text?Additional Comments:The data cleansing is related specifically to the equipment, operational data, pressures, densities, what gear is the transmission, how long at one gear, How many times will a pump rotate per 1000 PSIThe idea is to gather the Data Engineering first and then analyze it. The data we analyze now will help us deter failures and execute preventive maintenance in the future. For instance, 5 years from now. About Aerotek: We know that a company's success starts with its employees. We also know that an individual's success starts with the right career opportunity. As a Best of Staffing® Client and Talent leader, Aerotek's people-focused approach yields competitive advantage for our clients and rewarding careers for our contract employees. Since 1983, Aerotek has grown to become a leader in recruiting and staffing services. With more than 250 non-franchised offices, Aerotek's 8,000 internal employees serve more than 300,000 contract employees and 18,000 clients every year. Aerotek is an Allegis Group company, the global leader in talent solutions. Learn more at Aerotek.com.The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please call 888-237-6835 or email accommodation@aerotek .com for other accommodation options. However, if you have questions about this position, please contact the Recruiter located at the bottom of the job posting. The Recruiter is the sole point of contact for questions about this position.
## 49 Job Title: Data Scientists - Dearborn, MI Job Description: Essential Responsibilities: You will be responsible for providing the data support for enterprise data management tasks, including ingestion, standardization, enrichment, mastering and assembly of data products for downstream applications. In addition, you will: -Drive the Data Strategy and align it with continuously changing business landscape -Work on all the data types across the enterprise including Customer, Dealer, Vehicle, Manufacturing, etc. -Continuously increase Data Coverage by working closely with the Data Scientists, understanding and evaluating their data requirements and delivering the data they need -Support the data requirements of the different functional teams like MS&S, PD, Quality, etc. and all the regional KPI / Metrics initiatives -Evaluate, explore and select the right data platform technologies including Big Data, RDBMS & NoSQL to meet the analytics requirements -Provide visibility to Data Quality issues and work with the business owners to fix the issues -Implement an Enterprise Data Governance model and actively promote the concept of data sharing, data reuse, data quality and data standards -Perform any necessary data mapping, data lineage activities and document information flows -Build the Metadata model & Business Glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems Serve as data subject matter expert and demonstrate an understanding of key data management principles and data use Skills Required:Ability to work in different database technologies including Big Data / Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), RDBMS and NoSQL. Experience in creation of scripts to manipulate files within HDFS is preferred Knowledge of data transfer and ingestion technologies including Informatica Demonstrated experience building visualizations using Tableau/Qlikview Ability to write complex SQL queries needed to query & analyze data Knowledge of data management standards, data governance practices and data quality Ability to communicate complex solution concepts in simple terms Ability to apply multiple solutions to business problems Ability to quickly comprehend the functions and capabilities of new technologies Strong Oral and written communication skills Skills Preferred:Strong team player, with the ability to collaborate well with others, to solve problems and actively incorporate input from various sources Demonstrated customer focus, with the ability to evaluate decisions through the eyes of the customer, build strong customer relationships, and create processes with customer viewpoint Strong analytical and problem solving skills, with the ability to communicate in a clear and succinct manner and effectively evaluates information / data to make decisions Strong interpersonal, and leadership skills, with proven abilities to communicate complex topics to leaders and peers in a simple, clear, plan oriented manner Ability to anticipate obstacles and develop plans to resolve those obstacles Change oriented, with the ability to actively generates process improvements, support and drives change, and confront difficult circumstances in creative ways Resourceful and quick learner, with the ability to efficiently seek out, learn, and apply new areas of expertise , as needed Highly self-motivated, with the ability to work independently Superior organization, coaching and interpersonal skills, combined with effective leadership, decision-making, and communication Strong oral and written communication skills (English) Strategic and clear thinking to translate discreet and complex ideas to business-driven results Detail-oriented with a strong drive to enforce common standards Demonstrated acceptance and adherence to high ethical, moral, and personal values Six Sigma Green Belt Certified (Ford Internal Only) Experience Required:Minimum of 5 years of experience in a Data Management role including running queries and compiling data for analytics Minimum of 3 years of experience in data design, data architecture and data modeling (both transactional and analytic) Minimum of 2 years of experience in Big Data / NoSQL technologies including Hadoop (HDFS, MapReduce, Hive, Shark, Spark, Informatica etc.), especially command line experience with loading and manipulating files within HDFS Education Required: Bachelor's Degree in Computer Science or related field from an accredited college or university Additional Details: Job ID: 330688Dept ID: 10526Location: Dearborn, MI United States of AmericaIndustry: Information Technology / IT - SoftwareJob Type: Temp PositionFolder Group ID 106 Posted Date:7/18/2018 Domain:arna
## 50 \n\n\n \n\n\n• Total 5+ years of development experience, and 3+ years in Big Data (Hadoop ecosystem)• Hands on experience developing applications that run on Spark (preferably PySpark)• Strong Python experience (including NumPy, SciPy, and Pandas)• Intermediate Java experience• Intermediate Bash/Shell scripting experience • Hands on experience designing and developing non-trivial ETL processes within Hadoop using tools like Hive and Sqoop• Strong Hive skills (CLI and scripting) • Intermediate SQL skills (Oracle, MySQL, Postgres, etc.) • Experience using Kafka (both consuming and producing content)\n\nJob Requirements\n\nWe are looking for someone that has both data science and development background. We need someone who can extract and manipulate data; not just produce theoretical models.\n\nTop 6 qualifications that we are looking for\n1. Total 5+ years of development experience, and 3+ years in Big Data (Hadoop ecosystem)\n2. Hands on experience designing and developing non-trivial ETL processes within Hadoop using tools like Hive, Sqoop, Kafka.\n3. Strong Python experience (including NumPy, SciPy, and Pandas)\n4. Hands on experience developing applications that run on Spark (preferably PySpark)\n5. Understanding and experience implementing Machine Learning algorithms such as: density-based clustering (DBSCAN), Linear/Logistic Regression, and classification trees (Decision/Random Forest)\n6. Experience using Kafka (both consuming and producing content)
## 51 \nLaSalle Network is currently partnering with a fast growing startup to identify a Data Scientist to join their team. Our client focuses on the consumer shopping market and this individual will work on a team of 3 other Data Science professionals to help provide analytical solutions that help their clients get rich insights. This is a full time, salaried position with benefits and this is also an onsite position in Chicago (no relocation assistance provided). \nData Scientist Responsibilities:\nCreate R/Python programming modules for custom insights. Leverage statistical analysis to understand what is “acceptable" versus “outliers"\nContribute to Data Exploration needed to enhance the cleanliness and effectiveness data sources\nPresent insights to clients through data visualization\nPerform analyses that demonstrate the data’s value and build algorithms that elevate the platform\nData Scientist Requirements: \nMinimum of 2 years’ experience in a data analysis, business intelligence, or data science position (we can count internships or school research as experience).\nProficient programming skills in at least 2 of the following (SQL, python, R, or SAS).\nFamiliarity with the works of Spark, AWS S3\nFamiliarity with some sort of data visualization tool\nStrong analytical and communications skills, ability to work within a team, and ability to keep on schedule in fast paced development environment\nIf you are interested in the Data scientist opportunity and are ready to work for an organization that will reward your hard work and effort with upward professional development – apply today.\nThank You!\nJim Halpin\nTeam Lead, Technology Services\nKeywords and Related Terms: data science, Python, R, SAS, SQL, business intelligence, data analytics, consumer insights.\nLaSalle Network is an Equal Opportunity Employer, m/f/d/v.\nLaSalle Network is the leading provider of professional staffing and recruiting services. LaSalle has worked with more than 10,000 companies, ranging from Fortune 500s to start ups. With units specializing in marketing, administrative, accounting and finance, executive search, technology, sales, supply chain, healthcare revenue cycle, call center, and human resources, LaSalle serves companies of all sizes and across all industries.\n\n
## 52 Job Description:The NationalSolutions Group at Leidos currently has multiple anticipated openings for a Data Scientist to supporta client's requirements in a challenging, dynamic setting located in Aurora,CO. The position requires an active TS/SCI with Polygraphsecurity clearance and is contingent upon program award.The Data Scientist will be expected to build statistical models,test hypotheses, interpret, summarize, visualize, and succinctly report on dataholdings. The Scientist will write scripts (coding) to performlook ups and data pulls, provide development, coding and engineeringsupport to system alerts and sensors to monitor user activity and extractand transform audit log data. The Scientist will design, test andimplement auditing and reporting processes; documentall processes described. The Scientist will conduct technicalinvestigations of data handling incidents and coordinate with teammembers, including program management and Customers that are non-technical. Roles and Responsibilities:• Provide expert and professional data analysisto implement effective and innovative solutions meshing disparate data types todiscover insights and trends. • Centralize data collection andsynthesis, including survey data, enabling strategic and predictive analyticsto guide business decisions. • Develop or utilize complex programmaticand quantitative methods to find patterns and relationships in data sets; leadstatistical modeling, or other data-driven problem-solving analysis to addressnovel or abstract business operation questions; and incorporate insights andfindings into a range of products. • Create detailed write-ups of processesused, logic applied, and methodologies used for creation, validation, analysis,and visualizations. Write ups shall occur initially, within a week of whenprocess is created, and updated in writing when changes occur. • Provide an advanced capability for dataanalysis of information from disparate data types, promoting visualization andstorytelling to discover insights that help guide business decisions. Beforward leaning, exploring solutions that benefit elements individually andcollectively. Let the data tell the story including what is inconsistent orcontradictory, and automate data cleansing as much as possible. Assist in the development and maintenance of procedural guidance, templates and data formats, to include government, military, and contractor support. Review, assess data, identify data deficiencies and recommend solutions for remediation. Support quantitative and analytic efforts for planning and development. TransformersQualifications:To be considered for this position, youmust minimally meet the knowledge, skills, and abilities listed below• Bachelors or advanced degree in social sciences or related fieldsand requisite experience. Related fields may include statistics, mathematics,computer science, physical science, economics, or engineering. Typically requires BSdegree and 8-12+ years of prior relevant experience or Masters with 6- 10 yearsof prior relevant experience. May possess a Doctorate in technicaldomain. • TS/SCI with Polygraph is required • Relevant IC experience• Demonstrated experience performing data analysis and modeling onan independent (i.e., without significant guidance or direction) basis• Demonstrated experience in developing and applying quantitativemethods to find patterns and relationships in large data sets using statisticaland graphical packages• Demonstrated experience with structuring data, natural languageprocessing, database technologies, and machine learning algorithms.• Ability to translate complex, technical, or analytic findings intoan easily understood narrative - tell a story with the data in graphical,verbal, or written form.• Excellent written andverbal communication skills• Strong interpersonal skills• Ability to work in afast-paced, collaborative team environmentPreferred Qualifications:Candidates with these desired skills will be given preferential consideration• Demonstrated experience in the use of programming, design,development, and implementation of online and automated survey instrumentsEducation:BS and 4 - 8 years of prior relevant experience or Masters with 2 - 6years of prior relevant experienc
## 53 Location: Lincoln, RI (Claims Executive Department) \nAre you looking for a job in a growing industry with new products, new markets and new technology?\nWith locations across the country, Amica Mutual Insurance Company offers opportunities to join this dynamic field with a financially strong and respected insurance provider. Amica, based in Lincoln, RI, is a national writer of auto, home, marine and umbrella\ninsurance. Amica Life Insurance Company, a wholly owned subsidiary, offers a full line of life insurance products.\n\nWe are recognized as a leader in customer service and credit this success to our 3,700 employees in 44 offices across the country. Our benefits package includes high-quality medical, dental and vision coverage, short-term and long-term disability insurance\nand more.\nOur office located in Lincoln, RI is seeking an Associate Modeling Research Analyst to help further our data science and analytics capabilities. The Claims Business Intelligence team’s mission is to provide current, comprehensive, and accurate information empowering\nAmica to make the best business decisions possible. \nThe selected candidate will combine insightful data analysis and algorithm development with exceptional communication skills in order to drive business value from structured and unstructured data. Will be responsible for shaping and executing analyses, and\npreparing clear and concise presentations.\nJob Functions and Responsibilities:\n•Use machine learning, hypothesis testing, and other data science techniques to develop solutions and positively impact the Company\n•Determine requirements, evaluating analytical approaches, and producing predictive models using appropriate software\n\n•Create useful insights and compelling stories from structured and unstructured data\n\n•Communicate and document statistical analyses and methods in a logical and understandable manner for non-analytical business users and executive decision makers\n\n•Provide technical leadership, mentoring, and training to staff in statistical modeling and data analyses\n•Assist with supervision of all processes involved with the development of multivariate models\n•Collaborate on the development and planning of analytic projects in response to business needs\n•Contribute to the development of data models for mining production databases\n•Participate in development of the analytics roadmap by evaluating and incorporating emerging standards, best practices, and new technologies\n•Make recommendations on products and services to support structured and unstructured data mining\n•Demonstrate strong business acumen and understanding of insurance concepts\n•Ensure accuracy of results and analytic methods\n•Perform other job-related duties as necessary\nJob Requirements:\n•Bachelor’s degree in Statistics, Mathematics, Economics or similar discipline (Master's degree preferred)\n\n•3+ years recent, hands-on experience working with data mining tools (SAS, SPSS, R Studio, Python, or an equivalent analytics package)\n•Proficiency with logistic regression, time series, neural networks, forecasting, optimization, and other predictive modeling techniques\n•Expertise in text and sentiment analysis\n•Experience manipulating large amounts of data using SQL\n•Exceptional communication and presentation skills\n•Ability to translate business needs into technical requirements\n•Superior analytical, mathematical, and problem solving skills \n•Ability to work with a reasonable degree of independence and with a team\n•Effectively manage time to handle competing high priority projects\n•Experience using Business Intelligence tools (MicroStrategy) and creating data visualizations is a plus\n•Knowledge of Claims Processing systems (Guidewire ClaimCenter) is a plus\nEqual Opportunity Policy: All qualified applicants who are authorized to work in the United States will receive consideration for employment without regard to race, religion, sex, color, national origin, ethnicity, age, genetic information, disability or sexual\norientation. The Age Discrimination in Employment Act prohibits discrimination on the basis of age with respect to individuals who are 40 years of age or older. Employees are subject to the provisions of the Workers' Compensation Act.•cb* \nIND1
## 54 Job Description:JOB SUMMARY: The Intelligence Group of Leidos is seeking an Expert Data Scientist for an Intelligence Community (IC) program in Northern Virginia. An Active TS/SCI with polygraph security clearance is required in order to be considered for this position. The candidate will support Government staff in developing a broad range of written products in support of senior leadership and USG policymakers.PRIMARY RESPONSIBILITIES: Provide expert and professional data scientists to implement effective and innovative solutions meshing disparate data types to discover insight and trends in Human Capital information. Perform work on a data science team to advance Human Capital Analysis across the IC. Centralize Intelligence Community Chief Human Capital Office (IC CHCO) data collection and synthesis, including survey data enabling strategic and predictive analytics to guide business decisions. Develop or utilize complex programmatic and quantitative methods to find patterns and relationships in data sets; lead statistical modeling, or other data driven problem solving analysis to address novel or abstract business operations questions; and incorporate insight and findings into a range of products.Create detailed write-ups of processes used, logic applied, and methodologies used for creation, validation, analysis, and visualizations. Write-ups shall occur initially, within a week of when process is created, and updated in writing when changes occur.A "Key" position which leads a team of 5 other data analysts.EDUCATION & EXPERIENCE: Requires BS degree and 12 - 15 years of prior relevant experience or Masters with 10 - 13 years of prior relevant experience. May possess a Doctorate in technical domain.BASIC QUALIFICATIONS: Active TS/SCI with polygraph.15 years demonstrated core experience in the Labor Category area.Demonstrated knowledge of the Intelligence Community.Demonstrated experience performing data analysis and modeling on an independent (i.e., without significant guidance or direction) basis.Demonstrated experience in developing and applying quantitative methods to find patterns and relationships in large human capital data sets (such as the Human Capital Data Call, Foreign Language Data Call, FAIR act data, etc.) using statistical and graphical packages.Applied knowledge in the mathematical sciences such as probability, statistics, predictive modeling, computational social sciences; computer programming such as but not limited to Python, R, SAS, SPSS; and COTS data visualization packages such as but not limited to Tableau. Experience with Oracle Database and Procedural language/Structured Query Language (PUSQL).Preferred experiences include but not limited to C#.NET, ASP.NET Model View Controller (MVC), jQuery, and Cascading Style Sheets (CSS), etc.Demonstrated experience with structuring data, natural language processing, database technologies, and machine learning algorithms.Ability to translate complex, technical, or analytic findings into an easily understood narrative - tell a story with the data in graphical, verbal, or written form.Demonstrated fifteen (15) years (expert) expertise in supporting quantitative and analytic efforts and knowledge of workforce planning. Experience should include engagement with the Intelligence Community and expertise with using analytical software.Demonstrated professional experience in developing quantitative financial analysis related to budget formulation and execution. Experience in development of financial procedural guidance data formats related to CBJB workforce displays and analytic support, resource management and planning.Demonstrated experience in human resource management supporting the federal government.Demonstrated experience in the use of programming, design, development, and implementation of on*line and automated survey instruments.Bachelor's or advanced degree in social sciences or related fields and requisite experience. Related fields may include statistics, mathematics, computer science, physical science, economics, or engineering
## 55 The Data scientist continues to evolve with technology but involves communicating data findings to both technology leaders and business managers to help an organization meet a business challenge. The data scientist explores information from not just one source, but from multiple sources in order to gain maximum insight that can give the company a competitive advantage. A data scientist spends long hours collecting and analyzing data, using Artificial intelligence, and building tools to spot trends and help a company face the challenges of an evolving customer base and changing marketplace.ResponsibilitiesBuild and use technologies to identifies unique opportunities and methods to collect new data\nDeliver consumer analytics efforts to better understand how users engage with the digital products\nDesigns new processes and builds large, complex data sets\nStrategize new uses for data and its interaction with data design\nLocates new data sources, analyzes statistics and implements quality procedures\nPerforms data studies of new and diverse data sources\nFinds new uses for existing data sources\nConducts statistical modeling and experiment design\nTests and validates predictive models\nBuilds web prototypes and performs data visualization\nConducts scalable data research on and off the cloud\nImplements automated processes for efficiently producing scale models\nDesigns, modifies and builds new data processes\nGenerates algorithms and creates computer models\nCollaborates with database engineers and other scientists\nImplements new or enhanced software designed to access and handle data more efficiently\nSkills, Qualifications, and KnowledgePossesses a working knowledge of statistics, programming and predictive modeling\nDemonstrates excellent code writing abilities\nHas strong critical thinking skills and the ability to relate them to the products or services the company is producing\nDisplays understanding of and ability to use programming languages like SQL (Structured Query Language)\nShows strong knowledge of basic and advanced prediction models\nHas data mining knowledge that spans a range of disciplines\nAbility to bridge the gap between data science and business management\nHas the ability to think and research creatively\nPossesses a mastery of statistics, machine learning, algorithms and advanced mathematics.\nEducation and ExperienceBachelor’s degree in computer science, business analytics, or an advanced computer programming\nPrevious experience working in data mining or natural language processing\nFOR U.S. ONLYAGS is an Equal Opportunity/Affirmative Action Employer (M/F/Disability/Veterans). We will consider all applications without regard to race, gender, sexual orientation, gender identity, age, color, religion, national origin, veteran status, disability, genetic information or any other status protected by applicable law.If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to disability, please call 844-604-7059 or email [Click Here to Email Your Resumé]. > AGS is an Equal Opportunity/Affirmative Action Employer (M/F/Disability/Veterans). We will consider all applications without regard to race, gender, sexual orientation, gender identity, age, color, religion, national origin, veteran status, disability, genetic information or any other status protected by applicable law.If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to disability, please call 844-604-7059 or email accommodation@allegisglobalsolutions .com.
## 56 \n\nShop.com is seeking a Data Scientist supporting our product, engineering, leadership and marketing teams with insights gained from analyzing company data.\nIn this role you will be adept at using large data sets to find opportunities for product and process optimization. You 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. Have a proven ability to drive business results with your data-based insights. You should be comfortable working with a wide range of stakeholders and functional teams. The ideal candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.\nWhat are the day to day responsibilities?\nWork with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.\nMine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.\nAssess the effectiveness and accuracy of new data sources and data gathering techniques.\nDevelop custom data models and algorithms to apply to data sets.\nUse predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.\nCoordinate with different functional teams to implement models and monitor outcomes.\nDevelop processes and tools to monitor and analyze model performance and data accuracy.\n \nWe are proud to be an equal opportunity employer and we offer competitive salaries and benefits, including health, dental, vision, life, short and long-term disability insurance, and a 401(k) retirement plan with company match.\n\n\n\nJob Requirements\n\nWhat skills will you need to be successful in this role?\nStrong problem-solving skills with an emphasis on product development.\nExperience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.\nExperience working with and creating data architectures.\nKnowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.\nKnowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.\nExcellent written and verbal communication skills for coordinating across teams.\nA drive to learn and master new technologies and techniques.\nAdditional Requirements for the role?\nWe’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s degree or Phd in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:\nExperience querying databases and using statistical computer languages: R, Python, SLQ, etc.\nExperience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.\nExperience analyzing data from 3rd party providers: Google Analytics, Adobe Analytics\nExperience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark\nExperience visualizing/presenting data
## 57 Every day, the people of TSYS® and Netspend® improve lives and businesses around the globe through payments. We make it possible for millions of people to move money between buyers and sellers using our payments solutions including credit, debit, prepaid and merchant services. We are "People-Centered Payments", and our team has the unique opportunity to help create a world in which payments make people's lives easier and better. This is both a tremendous honor and an important responsibility for those who accept the challenge. If you are looking to make a valuable difference for people everywhere — and for yourself — we may have the right place for you.Netspend is looking for a Data Scientist who is passionate about applying data and analytics in a direct-to-consumer marketing environment. This role is located in San Mateo, CA.Responsibilities:Write sophisticated queries in SQL to extract data from various internal databases and third-party sources.\nDevelop and own predictive models start-to-finish (ex: response models, attribution models, segmentation).\nIntegrate any new approaches into our data visualization tool.\nNavigate our prospect targeting engine to identify overlooked segments and find optimization opportunities in order to maximize ROI/LTV.\nPioneer significant changes to our re-targeting program in order to drive new account growth.\nDiscover new ways to find answers to longstanding questions.\nCommunicate insights and recommendations to teams and business stakeholders at multiple levels across Netspend.\nQualifications:You are proficient in SQL and know how to build optimized queries that efficiently extract data from very large tables.\nYou know how to perform statistics-based programming in Python or R.\nYou are familiar with clustering, time series analysis, logistic regression, forecasting, decision trees, and other supervised machine learning techniques.\nYou have experience synthesizing findings and visualizing data to tell a story (experience with dashboard-building tools such as Qlik or Tableau is a plus).\nYou have a degree in statistics, mathematics, computer science, economics, or a related quantitative field.\nYou love to work independently and thrive when given a significant amount of autonomy.\nYou enjoy being in a data-driven work environment in a satellite office but with access to the resources of a large company.\nAs provided in Netspend's Background Check policy, eligible candidates may be subject to drug, criminal history, and credit checks, which will be conducted and used in accordance with applicable local, state, and federal laws.\nNot Ready to Apply? Join Our Talent Community!!US Applicants:TSYS is an equal opportunity employer (EOE) committed to employing a diverse workforce and sustaining an inclusive culture. For more information about your rights, click here.Qualified individuals with disabilities may be entitled to reasonable accommodations to assist in their pursuit of employment with TSYS. This includes assistance in completing the job application (online or otherwise) and reasonable accommodations during the hiring process. For assistance with reasonable accommodations needed to apply for a job, please contact the TSYS Pay and Benefits Center between 8 a.m. and 7 p.m. Eastern Monday-Friday at +1.706.644.8747 or +1.877.644.8747 or email at [Click Here to Email Your Resumé].EOE/Minorities/Females/Vet/DisabilityOutside of US Applicants:TSYS is committed to diversity and equal opportunities for everyone. We are committed to ensuring that all job applicants and team members are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, age or any other characteristic prohibited by law. For more information, please refer to our Code of Business Conduct and Ethics, found here.
## 58 Job Description\n\nDATA SCIENTIST (Fairfax, VA)\n \nRanked 73rd on ENR's 2018 listing of the Top 500 Design Firms, RK&K is a design and construction management firm specializing in transportation, environmental and energy projects. Our success is based on our ability to deliver what our clients want using sound, technical solutions to achieve the best possible outcome on a project. Expressed in our ability to treat every one of our 1,300 employees as a professional, RK&K has received extensive recognition for its exceptional and unique workplace culture.\n\nSummary\nWe are seeking a highly-motivated Data Scientist with 2 to 6 years of experience ready to take on new challenges. The position is located in our Fairfax, VA office. This work will support our firms Traffic engineering and Geographic Information Systems groups and will involve the following efforts:\nDesign and develop statistical analyses, visualize the output of statistical models, present and interpret the output of predictive models, and perform quality assurance tasks on model code and output.\nIdentify important and interesting questions about large datasets, then translate those questions into concrete analytical tasks.\nBuild quantitative models with data, and communicate the results of those models to stakeholders\nHelp conceptualize, as well as perform, data analyses to summarize trends\nDevelop and execute database queries that in turn support developing/formatting modeling inputs\nUtilize Geographic Information System software programs to visualize, synthesize, and evaluate large data sets.\nYou will work on interesting and challenging projects, collaborate with a talented and professional team, and demonstrate your hands-on traffic engineering experience.\n \nRequired Education and Experience:\nBachelor’s degree in a technical field: Computer Science, Engineering or related discipline\nStrong familiarity with raw data preparation (structured, unstructured, and mixed datasets), exploratory data analysis, processing, classification, and prediction.\nExperience working with and exploiting big data, distributed computing, predictive modeling, mathematics, statistics.\nKnowledge of data mining and machine learning algorithms, theories, principles and practices.\n2+ years of experience with modeling and quantitative analysis using standard statistical software such as R, and Python. \n2+ years’ experience in SQL, Visual Basic and procedural programming\nThe ideal candidate is proactive and creative, has excellent technical writing skills, and has experience with or a willingness to learn ArcMap/ArcGIS, and Tableau, along with other Statistical analysis tools.\n \nPreferred Education and Experience:\nAn MS Degree is desirable but not required.\n \n \nWe are an equal opportunity employer that values diversity at all levels. All individuals are encouraged to apply.\n\n\nJob Requirements\n\n
## 59 Data Scientist\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.\nAbout Data Science at UPS Technology:\nThe Data Scientist gathers data and performs analysis necessary to develop and evaluate UPS Strategy. Successful candidate will work under supervision of a Senior Data Scientist and a team lead, as well as internal Subject Matter Experts to assist in identifying the best approach to gathering information and solving business issues in various areas of UPS business, ranging from Customer Accounts to Package Delivery to Workforce Analytics. The candidate will possess ability to demonstrate experience with analytics, data gathering and data mining tools to assist in guiding the business strategy.\nThis position is responsible for the development of leading edge optimizations and analytics based decision support tools throughout the organization.\nDuties:\nInvolved in Scoping, Design and Development of Advanced Analytical Models\nCollaborates with senior developers, team leads, Business Analysts and various IT teams to gather, curate and build data sets needed to successfully construct the foundation of our Analytical Models\nProvides input to Design of prototypes and utilizes algorithms to ensure optimization results satisfy problem statements and business needs\nMonitors and Maintains Analytical Models in Production Environment\nDevelops hypotheses, approaches (i.e., analytic plans and methodologies), tools, products, and solutions to solve problems and increase profitability/efficiency\nCreates and develops solutions to solve short and long-term problems and address business needs\nGathers and compiles data for analyses and decision making\nProcessing, cleansing and verifying of data used for analysis\nProvides consultation to functional partners to support the design/development of systems\nMonitors the industry to gain knowledge of hardware and software technologies, emerging technologies, and analytic techniques to ensure UPS is utilizing state-of-the-art tools\nDetermines relevance and potential value of new technologies to support business objectives and strategies\nWork with team on project lifecycle, including project scope, resources, schedule, development, and deployment to ensure success\nIdentifies requirements to design optimization tools that will reduce costs and improve efficiency\nAssists with plan creation to maximize the value proposition and improve effectiveness\nDevelops subject matter expertise on internal and external sources of information\nAd-hoc data analysis and presentation\nPrimary Skills: \nPredictive Modeling and Machine Learning (Survival modeling, SVM, neural networks, decision tree, Time Series Modeling, Clustering, etc.) – Intermediate\nPython, R, Stata – Intermediate\nGoogle Cloud Platform (Kubernetes, StackDriver)\nData Analytics – Intermediate\nAdditional Skills:\nExperience with database systems, SQL and NOSQL\nExperience with SCALA or JAVA helpful\nExperience with parallelization platforms such as Hadoop/MapReduce\nFamiliarity with big data storage and processing tools such as Hadoop\nStrong analytical, presentation and writing skills\nStrong MS Office skills; including Excel\nAbility to present ideas in both technical and non-technical terms\nExperience/understanding of business process reengineering and business modeling concepts, business systems development and analysis\nAwareness of business and IT strategy\nAble to prioritize and execute tasks in a high-pressure environment\nBe a creative problem solver who can deliver design support, analysis\nMinimum Qualifications:\nDeep understanding of machine learning and statistical methods with their underlying theory and math\nDegree in a relevant field is desired\nDemonstrated work in building, deploying and demonstrating business value from predictive models and data products\nProficient in Python and R, Java experience a plus\nExperience with distributed machine learning frameworks, like Spark, etc.\nStrong and persuasive communication skills\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!UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law
## 60 Data Scientist Summary:Signature Consultants is seeking a Data Scientist for an opportunity in Seattle, WA. The Data Scientist is responsible for performing complex activities related to business analysis and/or modeling by responding to requests from lines of business and conduct in-depth analyses and ad-hoc reporting. Analyses will include identifying relationship growth opportunities, product penetration and profitability analyses, relationship portfolio profiles and segmentation analysis, and preparing lead lists.Responsibilities: Influence and identify long term metrics and data needs that will enable an enterprise-wide customer excellence practice\nAggregate findings across all groups and deliver a LOB view in standardized reporting\nDefine management metrics\nCalculate KPI's for each LOB\nDevelop trends to be included in LOB operational reports\nFind early warnings and create insights that allow for predictive capabilities. Identify key insights from data to inform on-going LOB decision making\nDevelop, pilot, and launch new and leading analytic capabilities to generate greater insights from data\nWork with LOB partners to leverage analytics that identify root cause for complaints\nIdentify and bring visibility to cross-LOB analysis opportunities regarding customer complaints\nProvide strategic insights, develop analytical strategies, build interactive dashboards, develop and productionalize foundational reporting, perform analytical support and/or modeling regarding a wide array of business initiatives\nDesign and lead a variety of projects/ analyses, generally spanning multiple products/business lines/functional areas/data sources and may involve analytical application of industry-leading experimental techniques or exploratory data analytics\nProvide actionable insights and make strategic recommendations to the line of business based on thought-provoking and sound analytics, both proactively and in response to business partners' requests\nWork with internal clients to identify analytical needs, define business requirements, identify potential data sources, design reports and analyses, and translate business needs into actionable insights. Additionally, partner with internal technology group(s) to build/enhance databases as needed\nApply knowledge of business, customers, and/or products/services/portfolios to synthesize data to 'form a story' and align information to contrast/compare to industry perspective\nManipulate and manage data that are typically very large, structured or unstructured, and from multiple sources\nMay be involved directly in the technical build-out and/or support of databases, query tools, reporting tools, BI tools, dashboards, etc. that enable analysis, modeling, and/or advanced data visualization\nPartner closely with project/virtual teams and may partner with more senior Analytic Consultants depending on complexity of analysis involved\nQualifications:5+ years of experience in one or a combination of the following: reporting, analytics, or modeling; or a Bachelor's degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis\nExperience with analytic coding tools, preferable SAS\nSQL skills\nAnalytical and detail oriented with the ability to prioritize, execute and deliver projects on time\nStrong desire and ability to creatively solve problems and strong prioritization skills\nAbility to identify in efficiencies and opportunities to improve the process\nDiversity champion enabling team collaboration. Leads and influences diverse views to foster problem solving, and delivery of extraordinary work that promotes team success\nExcellent verbal, written, and interpersonal communication skills\nExtensive knowledge and understanding of research and analysis\nStrong analytical skills with high attention to detail and accuracy\nSAS\nSQL\nExcel/PowerPoint\nAbout Signature Consultants, LLCHeadquartered in Fort Lauderdale, Florida, Signature Consultants was established in 1997 with a singular focus: to provide clients and consultants with superior staffing solutions. For the eighth consecutive year, Signature was voted as one of the "Best Staffing Firms to Work For" and is now the 14th largest IT staffing firm in the United States (source: Staffing Industry Analysts). With 26 locations throughout North America, Signature annually deploys thousands of consultants to support, run, and manage their clients' technology needs. Signature offers IT staffing, consulting, managed solutions, and direct placement services. For more information on the company, please visit www.sigconsult.com.
## 61 - Use your experience and skillset to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources to help develop various types of data-driven products- Conduct predictive behavioral research and analysis to understand customer satisfaction while understanding technology distributions that could impact the Data Science road map- Spearhead statistical analysis, 3rd party data integration and hypothesis testing- Create new insights that will drive business growth and profitability in the short and long term- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation\n\nJob Requirements\n\n- Bachelor’s Degree or higher in Physics, Electrical Engineering, Computer Science, Mathematics, Statistics, Econometrics, etc.- 3+ years working experience in applying analytics/mathematics to solving real world problems- SQL- Linux (Bash scripting) - Data modeling- Python or similar analysis tools (MatLab, R, Tidyverse, Pandas, SciKit-Learn, SciPy, NumPy, etc.)- Machine Learning - Excellent communication skills both written and verbal
## 62 Ref ID: 03230-0010663609Classification: Business AnalystCompensation: DOERobert Half Technology is actively seeking a Data Scientist for our client located in the Spartanburg, SC area. This position is fully REMOTE and is a contract to hire opportunity. The Data Scientist?s main responsibility is to deliver research projects using advanced analytics and data sciences in various therapeutic areas. Provide technical and strategic input on projects with the aim of bringing clinical biostatistics expertise into a data science project, as well as providing knowledge on study methods and results to bridge multiple sources of data, statistical analysis plans, and available data generated on previous data studies. Responsibilities ? Under the leadership of the Chief Data Scientist, work in collaboration with the data science team members and other functions to address research questions using advanced analytics and data sciences ? Provide technical and strategic input on projects with the aim of bringing a clinical biostatistics expertise into data science projects, as well as providing knowledge on improvement of existing data assets and statistical analysis capability ? Translate project needs and goals into a data science plan describing research questions, data requirements, endpoint definitions, and the advanced analytics approach, using advanced statistical methods ? Be responsible for preparing data and executing data analyses and/or be accountable for data sciences projects ? Present results to stakeholders and other members of the project team ? Write a clinical data sciences report on assigned projects ? Contribute to the development of clinical data assets in collaboration with data engineering and systems analysis teams ? Standardize and centralize analysis data assets for future data science projects ? Actively contribute to the development of competencies in advanced analytics methods across the Information Sciences department by delivering internal training and collaboration with team on data projects ? Monitor research and literature in data sciences to lead development of innovative methods in data sciences ? Facilitate knowledge transfer into the appropriate functional groups and projects ? Support other groups in the organization to scope and develop capabilities in advanced analytics across the organization systems and tools\n\nJob Requirements\n\nRequired Education and Experience ? MSc or PhD in data sciences, computer sciences, biostatistics, or related field required ? 3+ years diverse experience applying advanced analytics in clinical trials and clinical development ? Experience managing data-driven research from project inception to completion ? Deep knowledge of real-world healthcare data and electronic health records ? Proficient in R and SAS. Experience with other data sciences languages such as Python, Java or C++ ? Ability to thrive in a dynamic and fast-paced environment and drive change, collaborate effectively with a variety of individuals in the organization ? Excellent problem-solving skills ? Proven strong written and oral communication skills Qualified candidates please send resumes directly to [Click Here to Email Your Resumé]Technology doesn't change the world. People do.As a technology staffing firm, we can't think of a more fitting mantra. We're extreme believers in technology and the incredible things it can do. But we know that behind every smart piece of software, every powerful processor, and every brilliant line of code is an even more brilliant person. Leader among IT staffing agenciesThe intersection of technology and people \u0097 it's where we live. Backed by more than 65 years of experience, Robert Half Technology is a leader among IT staffing agencies. Whether you're looking to hire experienced technology talent or find the best technology jobs, we are your IT expert to call. We understand not only the art of matching people, but also the science of technology. We use a proprietary matching tool that helps our staffing professionals connect just the right person to just the right job. And our network of industry connections and strategic partners remains unmatched.Apply for this job now or contact our branch office at 888.674.2094 to learn more about this position.All applicants applying for U.S. job openings must be authorized to work in the United States. All applicants applying for Canadian job openings must be authorized to work in Canada.© 2018 Robert Half Technology. An Equal Opportunity Employer M/F/Disability/Veterans.By clicking 'Apply Now' you are agreeing to Robert Half Terms of Use.
## 63 MSX International is currently seeking a Data Scientist. The successful candidate must have the following skills and experience: \nHelp team on the database administration and management\nExplorer and identify the data required for modeling purpose \nSupport and practice on case study and ad hoc work \nUsing advanced modeling and simulation techniques to optimize the performance of our business units\nAttribution modeling, Optimization, Operation Research and other advanced techniques are applied to solve real-world business problems\nPython R Hadoop Hive Excel\nData Management \nData Analysis \nModeling\n\nJob Requirements\n\nSkills Preferred:\nQlikview Tableau SAS SPARK\nStatistical Inference\nTwo to three years of work experience is a plus\nAutomotive experience is a plus\nEducation Required:\nMaster of Statistics, Applied Math, Econometrics, Computer science \n
## 64 Job Title: Data ScientistLocation: Rockville, MD\nIndustry: Financial \nTerms: Contract to Hire\n Job Summary:\nWe are looking for a Data Scientist that will help us discover the information hidden in vast amounts of structured and unstructured data, and help us make smarter decisions to solve business problems. The primary focus is in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our solutions. \nJob Responsibilities:\nEnhancing data collection procedures to include information that is relevant for building analytic systems\nProcessing, cleansing, and verifying the integrity of data used for analysis\nDefine approaches for data mining\nExtending company’s data with third party sources of information when needed\nDoing ad-hoc analysis and R&D involving operating heterogeneous data sets\nCreating automated anomaly detection systems and constant tracking of its performance\nRequirements:\n\nPhD in Data Science, Computer Science, Statistics or other related fields\nReal world experience of solving business problems using machine learning, data mining, data analysis\nData-oriented personality\nExcellent understanding of machine learning techniques and algorithms\nExperience with common data science toolkits (such as R, Weka, NumPy, MatLab, etc.)\nGreat communication skills\nExperience with data visualization tools\nGood applied statistics skills, such as distributions, statistical testing, regression, etc.\n\nFrequently Asked Questions:\n\nBenefits? Yes, provided by ettain group \n\nRemote Workers? Not eligible, must work onsite with the team \n\n\nVisa Sponsorship? No, sponsorship is not being considered\n\n\nCorp-to-Corp? No, C2C candidates are not being considered\n\n \nHow to Apply:\nFor immediate attention please apply online and send a text message or leave a voicemail for Matt Klock at 571-612-4590
## 65 IDR is seeking a Data Scientist for a leading healthcare client in the Denver, CO area for a long-term opportunity. If you are a wanting to work with cutting edge technology and grow your career, apply today!\n\nPosition Overview for the Data Scientist:\n\nResearch data questions and issues and recommend enhancements\nApply appropriate AI/ML analytical techniques to determine if it supports the presented business case\nLead analytic projects while considering, time, cost, and accuracy\nApply statistical theories and methods to solve practical business problems\nDesign and conduct experiments, surveys, and pilots to validate results\nApply data transformation techniques enabling robust data exploration from multiple perspectives\n\n\n\nJob Requirements\n\n· \nRequired Experience for the Data Scientist:\n· 1-3 years of experience with applied Machine Learning/Data Science\n· Experience in Python, SQL, R, and Pytorch\n· Skilled with Docker, Data Warehouse, Data Management, etc.\n· Cloud experience would be beneficial\n· Healthcare experience is desired\n· Bachelor degree in Computer Science or Engineering\n\nWhat’s in it for you?\n· Ability to work REMOTE\n· Cutting edge technology\n· Awesome medical, dental, and vision insurance\n· Competitive salary in an enterprise-level environment\nMuch, much more!\n\nWhy IDR?\n15+ Years of Proven Industry Experience in 3 major markets\nEmployee Stock Ownership Program\nDedicated Engagement Manager who is committed to you and your success \nMedical, Dental, Vision, and Life Insurance\nInavero's Best of Staffing® Client Award Winner for the Past 5 years \nInavero's Best of Staffing® Talent Award Winner for the Past 5 years\n
## 66 Stratus Technology Services is looking for a Senior Data Scientist to build a data/stats-driven ad optimization system, working closely with the product team. The Data Scientist will constantly experiment and improve the relevancy of the recommendation/ad optimization system. In addition, you will invent and improve algorithms given a set of business cases and help implement them in production.Requirements:Work with the product/engineering team to implement, test and deploy the solution on Hadoop cluster Must have hands-on Machine-learning related industry projects Solid object-oriented programming skill (Java) and at least one scripting language such as Python/Ruby/Perl Ability to work in a fast paced, test-driven collaborative and iterative programming environment Understand major recommendation algorithms (Collaborative Filtering, Matrix factorization, Naive Bayes, Boosting method) Understand statistical hypothesis testing (ex. A/B testing) Understand various ad optimization algorithms (CTR prediction, eCPM optimization, user targeting and segmentation, RTB and real-time optimization) Strong understanding of Algorithms, Data Structures and Machine Learning / Data Mining Understanding of RDBMS, SQL and NoSQL alternatives Experience with Hadoop/Hbase/Pig or MapReduce/Mahout/Bigtable is a plus\nEducation:B.S./M.S., in Computer Science or similar applied technical field\n
## 67 The Data Scientist primary function is to serve as a model builder, programmer, and data analyst supporting modeling of underlying loan delinquency, default, and prepayment/MI attrition. Models will be applied to estimate mortgage insurance claim arrival, claim severity, existing mortgage insurance policy attrition, and new insurance policy acquisition. Cash flow valuation of both primary mortgage insurance policies and structured mortgage insurance policies are also within the position’s scope of analysis.\n\nJob Requirements\n\nWhat you will do:\n\nDelinquency, default, prepayment, claim severity model estimation and design. Data manipulation and programming in support of model estimation, implementation, monitoring, and back testing. Creation of analytical presentations and communication of strategic business findings to management. Analysis and recommendations on alternative credit structures, risk sharing arrangements, and/or non-traditional manners in which to participate and take on credit risk as appropriate and necessary. Data manipulation of large files (in Excel, Access, or SAS datasets) to identify trends and make recommendations and/or adjustments to credit/portfolio guidelines as necessary. Other duties as requested.\n\nWho we are looking for:\n\nKnowledge, Skills and Abilities:\n\nStrong understanding of mortgage delinquency, default, and prepayment modeling.\nStrong analytical background, along with the ability and willingness to effectively make recommendations on transactions based on sound business judgment.\nExpert in SAS, proficient in Excel and Access for data analysis.\nAble to work in a team environment.\nAble to effectively summarize and communicate relevant findings and other information.\n\nPrior Work Experience:\n1-3 years of related work experience.\n\nEducation:\n\nBachelor's Degree in a quantitative field of study is required.\nMaster's Degree in a quantitative field of study is preferred.\nLocation: \n\nThis position can be based in either our Philadelphia or New York Offices. \n\nPhiladelphia Office: 1500 Market St., Philadelphia PA \nNew York Office: 1450 Broadway, New York, NY
## 68 DATA SCIENTIST Calling all Data Scientists! One of The Select Groups' TOP clients is looking for a STRONG Data Scientist who has experience in SQL, Python and comes from an Agile environment. This team is located in uptown Charlotte, NC and is continually expanding! Must be able to work on a W2 basis to be considered. DATA SCIENTIST REQUIREMENTS:\n3+ years of experience as a Data Scientist\n\n\n\nExperience in an Agile environment \n\n\n\nStrong SQL skills \n\n\n\nExperience writing code/ reading in Python \n\n\n\nWorking with Time Series and Optimization techniques is essential \n\n\nPLUS SKILLS:Utilities experience DATA SCIENTIST RESPONSIBILITIES:These Data Scientists will be working on an Innovative team in the Products and Services group. This group has 2 products that are driven by analytics which help grow revenue for the company. Since this team is expanding and there are more products down the pipeline, they need 2-4 more data scientist to come in and build innovative models that will help transform the utility landscape. About The Select Group:We are TSG - a fast-growing technical services firm serving the U.S. and Canada. We open doors to diversified prospective employers who respect and value your ambitions, your pursuit of a meaningful career, and your particular skill-set. We offer interview guidance, an impressive referral program, and partner with you to find work that drives you. Learn more about us in our company overview video, or visit us at http://www.selectgroup.com. Sign up to receive weekly job alerts in your inbox by joining the TSG Talent Network.We have the privilege of impacting lives, so let us impact yours.The Select Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.
## 69 \n\n\n\nThe Principal Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Works with senior executives to develop and drive segment or enterprise-wide functional strategies. Advises one or more areas, programs or functions and provides recommendations to senior executives on matters of significance, and as an advanced subject matter expert competent to work at very high levels in multiple knowledge and functional areas across the enterprise.\n\n\nWe are seeking a Principle Data Scientist able to0) have absolute fun with the rest of us,1) develop right analytical solutions from a diverse repertoire of analytical techniques,2) apply solutions tool agnostic ,3) mentor junior talent,4) challenge & be challenged by the team and leadership.\n\n\nPrincipal Data Scientist\nThe Principal Data Scientist will provide thought leadership on the practical application of machine learning and advanced analytical methods and cultivate a data driven culture across the company. The Principal Data Scientist will collaborate with key business leaders to understand business problems and formulate analytical solutions for problem solving as well as lead or collaborate with a team of data scientists, data analysts or big data engineers on analytical projects, proving benefits of solutions and helping with execution and measurement.\n\n\n\n\n\n\n\n\nJob Requirements\n\nRequired Qualifications\nBachelor's Degree and 10+ years technical experience OR Master’s Degree and 6+ years technical experience\n2+ years project and/or people leadership experience\nExtensive experience solving analytical problems using quantitative and qualitative approaches. Specifically, demonstrated practical experience in building end to end data science solutions and applying machine learning methods to real world problems.\nExperience with state-of-the-art techniques in machine learning algorithms, including deep neural networks, NLP, dimensionality reduction, ensemble methods, graph algorithms.\nStrong programming skills in at least one language such as Python, Java, Scala or R.\nExperience with providing strategic advice and guidance to functional teams in a collaborative fashion; working alongside other analytic individuals and teams\nExperience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting\nHas experience with Deep Learning models, AI development, agile software launching, Tensorflow experience, and/or deploying model pipelines across various technologies, such as Kubernetes or Docker.\nUnderstanding of hardware to enable various Data Science technologies (i.e. GPU application in Deep Neural Network development)\nSuccessful demonstrated experience in working with senior executives to develop and drive segment or enterprise-wide functional strategies\nAbility to advise one or more areas, programs or functions\nAbility to work at very high levels in multiple knowledge and functional areas across the enterprise\nExperience leading and growing junior talent\nExperience with disrupting or leading a wave of change in their industry\n\nPreferred Qualifications\n3-5+ years project and/or people leadership experience\nBig data experience (Hive, Spark, HDFS) a big plus!\nExperience in GCP, AWS, Azure or other cloud ecosystems.
## 70 Our client is currently seeking a DATA SCIENTIST - INTERMEDIATE \nJob Description: \nThe contract data scientist will collaborate with colleagues on analyses to enable precision product placement. He/she will collaborate with in-house statisticians/data scientists on many predictive modeling and statistical modeling projects, but is also required to work independently in methodology and analysis code development. This position offers the opportunity to work in a state-of-the-art environment providing extensive opportunities for development of novel methodologies and for creative application of existing methods. \n\n\nResponsibilities: \nDevelop predictive modeling algorithm with feature engineering/selection/extraction over high-dimensional data \nProvide analyses of field data including data management and data QC \nDevelop generalized procedures to cross-validate and evaluate model performance \nProvide integration with other models \nLeveraging other data (environment, product & field characteristics) to improve our model development efforts \n\n\nRequired qualification/experience/skills: \nPhD degree or M.S. with +3 years of working experience in Statistics, Mathematics, Computer Science/Engineering, or other quantitative disciplines \n3+ years’ experience in applied machine learning/statistical modeling \nHighly proficient in R with ?3 years of programming experience in R \nGood understanding of the machine learning/deep learning and statistical theory, feature engineering, feature selection, ensemble method, and other machine learning practice \nProficiency with using machine learning methods like random forests, logistic regression, support vector machines and neural networks, etc. \nStrong problem solving and critical thinking skills \nStrong teamwork skills and communication skills \n\nDesired qualification/experience/skills: \nBackground and experience in computational statistics/data mining \nOther desired stat techniques include statistical bootstrapping, simulation, etc. \nProgramming proficiency in Python or SAS is a plus \nThe ability and desire to coach and learn from other team members\n\nMust Have:\nHighly proficient in R/Python \nProactive attitude \nPhD degree or M.S. in Statistics, Mathematics, Computer Science/Engineering, or other quantitative disciplines\nFamiliar with data mining/statistical modeling/applied machine learning/deep learning \n
## 71 Qualifications\n· Experience manipulating large data sets, both structured & unstructured with at least 2 years of statistical modeling experience in big data architecture environment with strong understanding and proficiency of predictive modeling techniques.\n· 3 years of overall software engineering/system design experience providing you the skills needed to be able to integrate ML models with various technologies\n· Fluency in SQL and experience with Big Data for analyzing data to drive innovation/insights\n· Ability to discover “stories” told by the data and present them to other scientists and business managers.\n· Proven experience implementing models with Big Data implementations\n· Experience with standard implementations of Machine Learning algorithms through libraries/packages/APIs (e.g. scikit-learn, Theano, Spark MLlib, H2O, TensorFlow etc.)\n· Strong experience in data analysis tools and languages like R, Python, MATLAB, SAS, and similar Marketing Technology/CRM functional expertise highly desired\n\nJob Requirements\n\nQualifications\n· Experience manipulating large data sets, both structured & unstructured with at least 2 years of statistical modeling experience in big data architecture environment with strong understanding and proficiency of predictive modeling techniques.\n· 3 years of overall software engineering/system design experience providing you the skills needed to be able to integrate ML models with various technologies\n· Fluency in SQL and experience with Big Data for analyzing data to drive innovation/insights\n· Ability to discover “stories” told by the data and present them to other scientists and business managers.\n· Proven experience implementing models with Big Data implementations\n· Experience with standard implementations of Machine Learning algorithms through libraries/packages/APIs (e.g. scikit-learn, Theano, Spark MLlib, H2O, TensorFlow etc.)\n· Strong experience in data analysis tools and languages like R, Python, MATLAB, SAS, and similar Marketing Technology/CRM functional expertise highly desired\n \n
## 72 At Edward Jones, we help clients achieve their serious, long-term financial goals by understanding their needs and implementing tailored solutions. To ensure a personal client experience, we have located our 14,000+ branch offices where our more than 7 million clients live and work. A typical branch office has one financial advisor who meets with clients face-to-face and one branch office administrator who enhances the team's ability to build deep relationships with clients. Headquarters associates in St. Louis and Tempe provide support and expertise to help U.S. and Canada branch teams deliver an ideal client experience. Edward Jones currently has more branch offices than any other financial services firm, and we continue to grow to meet the needs of long-term individual investors. Advanced Analytics Do you see analytics as an indispensable partner in designing new approaches to solve complex problems? Do you aspire to work in an organization that emphasizes the value of analytics? Join us and together we will drive the future of wealth management. Our mission is to lead the firm in realizing the full potential of data-driven insights for the benefit of clients, branches and the firm. Your Talent. Our Mission. At Edward Jones, it is a powerful combination, and the foundation upon which we are creating greater value for our 7-million plus serious, long-term individual investor clients. The data science team is designed to drive business insights and decisions through advanced analytics. This team is expected to work across all areas of the business by providing models to help optimize decision making across the organization.Senior Data Scientist The Senior Data Scientist is responsible for the design and development of complex mathematical methods and statistical models in support of data driven strategies. The role requires the ability to leverage data from multiple sources to develop innovative solutions to business problems. An ideal candidate must be able to work closely with business partners to develop tailored analytic solutions. A senior data scientist will be responsible for guiding projects from design through implementation and final delivery to internal business partners.Key Responsibilities: Define data needs and evaluate data quality for applicability to posed problems Use statistical modeling, machine learning and numerical optimization to discover and leverage patterns in data using...[Time Series Analysis, Classification Algorithms, Clustering, Regressions, Recommender Systems, Linear/Nonlinear Optimization, Monte-Carlo simulation, text mining, natural language processing] Ability to create features and develop models beyond standard toolset libraries to meet unique business challenges Interpret and communicate findings and insights from the data to business partners Position Qualifications: Master of Science Degree in Statistics, Applied Mathematics, Industrial Engineering, Computer Science or related field required. PhD in Statistics desired 7+ years professional experience with predictive statistical models or numerical optimization, and working with typical data used in such analyses Proficient in one or more programming languages (Python, R, Scala) Comfortable manipulating data in one or more of (SQL, Hive, Impala, Pig, Spark) Ability to translate data into meaningful value propositions for business partners in order to facilitate understanding. Provide accurate and actionable business intelligence reporting Persons requiring sponsorship for an employment visa are ineligible for this position
## 73 \n\n\n\nLocation\nSan Jose - CA, US\nLevel\nPhD\nExperience\n2-5 Professional\nAvailable since\n3/7/2018\nFunctional area\nResearch & Development, Information Technology, Electrical Engineering\nBackground\nPhysics, Physics / Mathematics, Software Engineering\nReference\nreq953\n\n\n\n\nIntroduction\nASML US, LP brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers – to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Wilton, CT, Chandler, AZ and San Jose, CA.\nWe are proud of bringing together the brightest minds all over the world to tackle the most challenging problems in making faster and smaller chips. As part of our team, you will have the opportunity to go beyond yourself in developing more advanced techniques and push the technology boundaries.\nASML San Jose, CA is an industry leader in computational lithography for integrated circuits. Our Tachyon platform enables capabilities that address chip design, photomask making and wafer printing for semiconductor manufacturing and the LithoTuner platform enables lithography optimization for ASML’s leading photo lithography tools, known as ‘scanners’. \n \nJob Description\nAdvanced Technology Development (ATD) Organization at ASML is looking for an experienced data scientist who has a passion to build data products and data systems. The ATD technology exploration team began to make the most use of a vast data acquired from our hardware and software products from 2014. As our vision expands, the opportunity to makeimportant contributions to the company and to our customers through data analytics is also expanding. We seek a principal data scientist with practical experience in exploring big data opportunity at ASML. The Principal Data Scientist will be responsible for utilizing disparate data sources in novel ways, with the aim of generating actionable insights. The insights can create new product offerings or improve the capabilities, performance and efficiency of existing products and services throughout the company.\n-You will collaborate with a cross-functional team of scanner domain experts, data scientists, and software engineers. You will work through the lifecycle of turning the data-driven insights into the final product.\n-You will learn state-of-the-art photolithograhpy knowledge from ASML domain experts and identify areas of opportunity and improvement.\n-You will work within a team of data scientists, explore large and complex data sets from various sensors monitoring the photolithography process, and experiment relevant Data Mining techniques and/or Machine Learning algorithms to improve the product intelligence. -You will work closely with the production software engineering team to deploy the machine learning pipeline into software product.\nEducation\nPh.D in Computer Science/Engineering/Mathematics/Statistics is preferred. But master applicants with specialization in data science / machine learning track and/or extensive relevant industry experiences are strongly encouraged to apply or equivalent experience.\n \nExperience\nSolid understanding and hands-on experience (3+ years) with applied statistics and machine learning. \n \nPersonal skills\n-Proficiency in at least one of the three scripting languages: Python, R, or Matlab. -Good understanding and hands-on experience with relational database such as MySQL or equivalent. -Practical experience with data wrangling to prepare data for quantitative analytics and predictive modeling.-Strong presentation and communication skills. -Enthusiastic about enabling smart manufacturing and improving product quality control with the power of data science / machine learning. \n-Knowledge and experiences with manufacturing SPC/APC (Statistical/Advanced Process Control) system are highly desirable.\n-Experience with deploying predictive modeling pipeline in production is a big plus. \n-Good understanding and hands-on experience with numerical optimization.\n-Working knowledge about “big data” ecosystem: Hadoop, Hive, and Spark.\n-Familiar with at least one programming language such as C/C++ or Java. \n \nContext of the position\nPHYSICAL DEMANDS AND WORK ENVIRONMENTThis position primarily works in an office environment. It requires frequent sitting, standing and walking. Daily use of a computer is required. May stand for extended periods when facilitating meetings.The physical demands of the position described herein are essential functions of the job and employees must be able to successfully perform these tasks for extended periods. Reasonable accommodations may be made for those individuals with real or perceived disabilities to perform the essential functions of the job described.\n \nOther information\nEEO/AA (W/M/Vets/Disability) Employer\n\n
## 74 A multinational financial services company is seeking a Data Scientist to join their team in Charlotte, NC. Requirements:Track record in predictive analytics and statistical and big data toolsApplying scientific data collection and interpreting activities and ensuring collected data is relevant Identifying, analyzing and interpreting trends or patterns in data setsManipulating, extracting, processing, and analyzing large data sets to create insights and surface implications using statistical techniquesCreating visualizations for consumption by varied audiences Defining data store architectureBachelor's Degree Technical Skills:SQL, no-SQL, R or PythonHadoop, Spark, Storm, HiveFrameworks/libs: NumPy, SciPy, Pandas, numpy, Matplotlib/Plotly, StatsmodelsElastic Stack, GitFrameworks/libs: TensorFlow, Keras, NLTK, Gensim, Scikit-learnHTTP and invoking web-APIs Personal Skills: Managing work with multiple teamsSCRUM methodologyHaving high accountability and a self-driven personality to take on and see through larger challengesConfidence, taking ownership, willing to get the job done *C
## 75 We are AAM. We have the POWER to move the world.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!Lead Data Scientist• Work on Major Projects and Responsible for Deliverables.• Willing to Periodically Work Evenings/Weekends to Support Upgrades/launches.• Assist in the Preparation of Training Manuals/ user trainings.• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.• Ability to write PLSQL scripts packages, procedures, functions.• Data mining using state-of-the-art methods• Extending company’s data with third party sources of information when needed• Enhancing data collection procedures to include information that is relevant for building analytic systems• Processing, cleansing, and verifying the integrity of data used for analysis• Doing ad-hoc analysis and presenting results in a clear manner• Creating automated anomaly detection systems and constant tracking of its performance• Expert of R Language• Expert of Python• Understand Cloud Service environment. Preferably Oracle Cloud Era and Big data Discovery• Willing to learn new tools and technologies.• Maintain server operational, configuration, or other procedures and documentation.• Work with Database Administrators ongoing server performance tuning, hardware upgrades, and resource optimization as required. Compute storage, memory, and storage partitions as required.• Coordinate activities of vendors responsible for maintenance of AAM systems.• Basic understanding of IT Standards, Procedures and Policies. Ability to fully adopt company's standards and policies. • All other duties as assigned. About American Axle & ManufacturingFor 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.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. We are AAM. Move with us, and join #TeamAAM.AAM will not discriminate against any Associate or applicant for employment because of age, race, color, gender, religion, weight, height, marital status, sexual orientation, genetic history or information, gender identity or expression, disability, protected veteran status, national origin, or other characteristic protected by law. AAM will take affirmative action to ensure that applicants are employed, and that Associates are treated equally during employment, without regard to their age, race, color, gender, religion, weight, height, marital status, sexual orientation, genetic history or information, gender identity or expression, disability, protected veteran status, national origin, or other characteristic protected by law. For the Disabled Job Seeker: We offer reasonable accommodations for qualified disabled individuals who are applicants for employment. To request assistance or accommodations, please e-mail [Click Here to Email Your Resumé] . AAM is an equal opportunity/affirmative action employer.
## 76 Looking for a Data Scientist to join the Supply Chain team.We develop sophisticated algorithms that involve learning from large amounts of past data, such as actual sales, prices, promotions, similar products and product's attributes, in order to forecast the demand. We also work closely with Inventory Management, Supply Chain and Logistics teams to optimize our inventory allocation in our worldwide channels given operational constraints.Scope of Responsibility: Design algorithms and develop scalable solutions and models that allow for analyzing trends and scenarios in Inventory Management, Supply Chain and Logistics. Partner with organizational business process owners to leverage and implement the solutions that the team designs.Job Summary: Help lead the innovation and advancement of solutions to complex supply chain and inventory management problems using predictive analytics, data mining, mathematical programming, machine learning, and data visualization.Job Duties/Responsibilities:Work closely with fellow data scientists, data engineers, and project managers\nDevelop complex algorithms and data mining processes as well as optimization and simulation models to create new policies, evaluate their performance, and quantify their benefits and impacts to cost, reliability, and speed of the SHC fulfillment network using a variety of methods in data science, machine learning, and applied mathematics\nPresent findings to relevant business unit leaders and work with business partners to integrate them into our product plans\nDevelop new strategies to improve the performance of SHC's fulfillment systems networks\nResearch, evolve and innovate scientific methods and advanced business logic within our assortment, replenishment and/or supply chain planning teams\nJob Requirements:Advanced degree in Industrial Engineering, Statistics, Mathematics, Economics, Computer Science, or similar technical field\nStatistics and probability, particularly the application in systems analysis\nStrong modeling, mathematical programming, and data visualization skills\nStrong problem solving and data analysis skills\nExperience in developing and applying advanced quantitative techniques toward solving business and information/technology problems\nWorking knowledge/experience with supply chain management - research experience in multiple areas is highly preferred\nAble to work in a fast, collaborative environment, working with fellow scientists and data engineering teams for timely delivery of products\nExperience with relational databases and SQL\nPreferred Skills:Experience deploying data science solutions to the business environment\nExperience in open source programming languages for large-scale data analysis, Python/Spark and R preferred\nExperience with machine learning\nExperience with Big Data concepts and technologies (Hadoop, AWS, GCP)
## 77 The OpportunityVivid Seats is the largest independent online ticket marketplace, sending 40,000 fans to live events every day. Working at Vivid Seats puts you front and center at the opportunity to scale our best in class platform that allows our fans to sit closer and see more.At Vivid Seats, you will have the opportunity to work with flexibility and the speed of a startup while operating at a massive, profitable scale. We keep our teams lean, giving every single employee direct accountability in creating a positive ticket buying experience. We are relentless and move quickly to release new features and content to the site and mobile app daily. Your ideas are heard and implemented, your hard work rewarded. Being a part of our team means that have the ability to drive impact and own the innovation that allows us to connect our tens and millions of unique monthly users to the memorable experiences that live events create.As the Senior Data Scientist, you will have a direct and measurable impact on growth and profitability by developing, improving, and testing algorithms to drive customer acquisition and retention. You’ll be a vital member of the CRM team, creating analytical models and triggered programs that deliver relevant offers and personalized recommendation to Vivid Seats’ customers. You’ll explore diverse sets of user-generated data, and will and use sound scientific principles to create precise, high-performing and reliable models to be used in our marketing campaigns. The systems you build will affect Vivid Seats’ customer experience (email, push notifications, paid search, etc).You will wake up every day obsessed with utilizing data analysis to drive channel growth and deliver the best messaging to our existing and prospective customers. You will have the opportunity to work cross-functionally to distill and present complex learnings and to be an advocate of analytical, data-driven decision making across the company.To be successful, you’ll needExperience developing insights from large datasets using various analytical methods such as predictive learning, regression methods, clustering, statistical forecasting, etc.\nIn-depth understanding of statistics and experiment design - control vs. variations, multivariate experiments, etc.\nTo quickly evaluate complex issues and solve business challenges with analytic solutions\nAdvanced experience using SQL for relational databases\nTo collect, organize, and analyze large amounts of data from a variety of sources using clear, well-documented, and understandable methodology\nTo be a strong communicator, mentor, and team player - you will collaborate closely with peers and cross-functional teams. \nTo understand the drivers of our business, and to be able to explain your approach, test plans, and learnings to a wide variety of both technical and non-technical stakeholders\nA proactive and energetic personality - you’ll need to multitask and prioritize projects independently\nCreativity, fearlessness and an unwavering commitment to putting the customer first, elevating your team and ownership over outcomes\n5-7 years of data engineering or data science experience in R; SAS and Python are a plus
## 78 Overview\n\nJoin our team of more than a hundred software engineers, designers, project managers and software specialists that are smart, creative and excited by what they do.Some of our ground-breaking work includes:• advanced computer-adaptive algorithms (only one that’s peer-approved in the country)• mobile support for the user interfaces• learning management systems with social media features• user interfaces that are universally accessible to people with or without disabilities • innovative, machine-scorable itemsThe American Institutes for Research (AIR) is a leading professional services firm with a growing software engineering and product development team. We design and build things that are inspiring and make a real impact in the online testing industry. We are currently seeking a Lead Data Scientist to join our team in the Washington, DC office.\nResponsibilities\n\n• Work as a member of AIR’s Assessment division on cutting edge problems involving the use of machine learning, data analytics and AI• Develops software, algorithms and applications to apply mathematics to data and build data driven apps to translate data into computational intelligence around standardized tests for students• Processes large amounts of data for statistical modeling, and graphic analysis (metrics)• Applies mathematical theories and statistical methods to solve problems in computer science• Develops mathematical or statistical models of phenomena to be used for analysis or computational simulation• Designs complex metrics projects that apply valid scientific techniques and utilize information obtained from baselines or historical data in order to structure analyses• Build prototypes that can be seamlessly transitioned to production• Develops algorithms for data analysis• Apply state of the art machine learning techniques\nQualifications\n\n• MS in Applied Mathematics, Statistics, Computer Science, Physics or Engineering and 8+ years of experience or a Bachelor's Degree in the above fields and 10+ years of experience• Demonstrated ability and understanding of data mining and machine learning algorithms• Experience with numerical methods • Background in deep learning, machine learning & big data• Experience designing systems using Python, R, Java or .NET languages• Hands-on experience with using machine learning frameworks such as Scikit-learn and a deep learning framework such as TensorFlow, Keras, Caffe, PyTorch or Theano• Must possess an analytical mindset and strong programming skills• Experience working on large data sets• Experience working with relational databases such as SQL Server• Strong written and oral communication skills, organizational skills, and attention to detail• Self-motivated with minimal oversight• Experience with deep learning models performing NLP tasks a plus*LI-SS1#CB
## 79 Overview\nContribute to a Safer, More Secure, and More Sustainable World At UL, we know why we come to work. Thousands of us around the world wake up every day with one common purpose – to make the world a safer, more secure, and more sustainable place to live. We clear the way for our customers to introduce the latest products, technological advances, and systems in an increasingly complex world so they can provide peace of mind to the market. Our integrity is woven throughout our company and shapes the way we approach and deliver our solutions. We are proud that the work we do every day has a meaningful contribution to society. We continue to build upon our legacy of trusted expertise and partnership to keep our communities safe and secure as we march forward into the future. This helps us to sleep better at night, and we are confident that the millions of people we touch rest easier too. #ThisIsOurNormal\n\nResponsibilities\n\nUses advanced mathematical and statistical concepts and theories to collect and analyze data and construct solutions to complex business problems. Performs advanced statistical analysis on experimental or business data to identify, validate and quantify trends or patterns based on guidance from business or research leaders. Constructs advanced predictive models, algorithms and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results. Designs experiments and methodologies to generate and collect data for business use. JOB RESPONSIBILITIES: Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as sensors, open data, and social media feeds. \n Designs experiments, tests hypotheses, and builds models to explore complex business and safety science systems. \n Conducts data analyses using traditional and complex statistical methods. Designs algorithms and implements software to perform analyses. \n Aggregates, transforms and integrates multiple data sets to test hypothesis, model complex systems and identify patterns. Prepares and analyzes program/model output to allow for efficient data analysis. \n Transforms complex data and results into creative graphs, tables, charts and other graphics to present and/or share the data in a compelling and concise manner. \n Writes methodology, analysis and data insights for research papers, proposals and presentations. Synthesizes all aspects of a data science project to lead non-technical audiences through the goals, methods and implications of the project. \n Works with business leaders and researchers to suggest other projects and initiatives that will advance the organizations goals. \n Performs other duties as directed. \n\nQualifications\n\nUniversity Degree (Equivalent to Bachelor’s degree) in Mathematics, Statistics, Computer Science or a related discipline plus generally 3-5 years of experience in statistical analysis or data science. \nSolid technical knowledge and experience working with R, SAS, Java or Python programming language. Several years’ experience manipulating large datasets and using databases with experience in general purpose programming language such as Hadoop. \nAbility to develop solutions to loosely defined business or research problems by leveraging pattern detection over large data sets. \nExperience using machine learning algorithms. \nStrong interpersonal skills with the ability to communicate with technical and non-technical internal and stakeholders. \nAbility to organize, analyze and correlate data information. \n#CB
## 80 Agilent inspires and supports discoveries that advance the quality of life. We provide life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, applications and expertise. Agilent enables customers to gain the answers and insights they seek ---- so they can do what they do best: improve the world around us. Information about Agilent is available at www.agilent.com.\nAgilent Technologies Services and Support Division is looking for an exceptional Data Scientist to join the Services Data Analytics team. Our team is responsible for providing analytical insights to business problems, data modeling, predicting future performance, and providing prescriptive, actionable strategy to the organization.\nAs a vital member of the growing Services Data Analytics team, you will be responsible for developing analytics utilizing tools (Qlik, R, SQL, JavaScript) and algorithms to draw deep analytical insights for managing the business in one of the following focus areas: profitability, channel effectiveness, customer journey, marketing, finance or resource planning. You should have experience operating in enterprise software suites (SAP or Oracle) and demonstrated strength in data visualization best practices to design intuitive, insightful analytics for users with various technical backgrounds.\nTo be excellent in this position, the candidate will need to perform in a Venn diagram that includes the art of design, mathematics, statistics, programming, business acumen and people skills.\nResponsibilities:\nUtilize communication skills to work across departments to enable strategic direction by translating Services business problem statements into data analysis projects\nOptimize data retrieval and develop dashboards, reports and other visualizations for stakeholders to draw out key insights and trends\nIdentify ways to improve data reliability, efficiency and quality\nConduct research for industry and business questions\nDeploy sophisticated analytics programs, machine learning and statistical methods for Agilent's service business engagement model\nDeliver updates to stakeholders based on analytics\nProvide analytics that enable the Service organization to more effectively draw deep analytical insights for managing the business in one of the following focus areas: profitability, channel effectiveness, customer journey, marketing or resource planning.\nPropose new analytics to more effectively spot trends and anomalies in large data sets\nEffectively communicate the health of the business through data visualization tools\n
## 81 Genesis10 is currently seeking a Data Scientist with our client in the Retail industry in their San Francisco, CA location. This is a 12 month + contract position.Description:Seeking a Data Scientist\nResponsibilities:Develop code to measure the impact of inventory related logic changes in systems that support inventory management domain for GAP brands Data Analysis: Compile and analyze data from different sources, to check completeness and filtering criteria Data Cleansing: Develop/Edit SQL scripts to pull and clean datasets Looking for people with: Strong quantitative training Substantial experience in data manipulation Operations/supply chain domain experience Savviness with building and validating models Business acumen and great communication Some experience with measurement, such as A/B testing or back-testing \nRequirements:4+ years related professional experience Proven achievements resulting from data analysis Degree in operations research, industrial engineering, computer science, applied math, physics, economics, or other quantitative science (graduate degree a plus) Experience with languages used for querying (e.g. SQL/Hive), and statistical analysis (e.g. SAS/R/Matlab/python Proven ability to succeed in both collaborative and independent work environments. Ability to leverage experience to scale and validate models Experience working with business partners to validate the output of analytical models Able to work as a W2 employee of Genesis10 (no Corp-to-Corp)\nIf you have the described qualifications and are interested in this exciting opportunity, please apply!About Genesis10:Genesis10 is a leading U.S. business and technology consulting firm with hundreds of clients needing proven talent and solutions to power their strategic initiatives. If you are a high performing business or IT professional with solid, referenced experience, we want to meet you. Genesis10 recruiters and delivery professionals are highly accomplished career advocates, who get to know you beyond your resume to position you with the opportunities that fit your skills, experience and aspirations. We have benefit options to fit your needs and a support staff that works with you from placement throughout your engagement – project after project. To learn more about Genesis10 and to view all our available career opportunities, please visit us at www.genesis10.com. "Genesis10 is an Equal Opportunity Employer, M/F/D/V”
## 82 We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better solutions. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our processes.\n\nYou will be able to grow in competences on both the technical side of by working with Senior level members of the team participating in development and implementation of Big Data projects. You will be in charge of pure Data Scientist tasks with a focus on OCR and Computer vision by building a smart solution of document processing to generate analytics.\nSelecting features, building and optimizing classifiers using machine learning techniques (R, Python).\nData mining using state-of-the-art methods.\nExtending company’s data with third party sources of information when needed.\nEnhancing data collection procedures to include information that is relevant for building analytic systems.\nProcessing, cleansing, and verifying the integrity of data used for analysis.\nDoing ad-hoc analysis and presenting results in a clear manner.\nCreating automated anomaly detection systems and constant tracking of its performance.\n\nJob Requirements\n\nCollege degree (Bachelor’s or higher) from accredited institutions in Data Science, Computer Science or relevant related field.\n2-3 years of experience\nExperience in Spark and Spark Streaming.\nExperience with DataViz tools (Tableau, SpotFire) and Data Science tools (R, Python).\nExcellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.\nExperience in Hadoop (Cloudera, HortonWorks and/or MapR) Architecture, Deployment and Development.\nExperience with common data science toolkits, such as R and Python. Excellence in at least one of these is highly desirable\nStrong communication skills\nExperience in Data Engineering tools and techniques -Map Reduce, pig, Hive, Hbase, Oozie, Spark, solr.\nGood applied statistics skills, such as distributions, statistical testing, regression, etc.\nExperience in OCR technics and Computer vision.\n\nFull-Time opportunity along with competitive benefits within the market.
## 83 Our client is currently seeking a DATA SCIENTIST - SENIOR \nTitle: Sr. Data Scientist Duration: 15+ Months (Potential for Extension) Location: Creve Coeur, MO 63141 Summary: Design, implement and optimize statistical and machine learning models based on structured and unstructured data. Collaborate with system integration and data warehouse engineers on data extraction and data cleaning. Develop powerful analytics insights from geographical, marketing, industrial data and public policy using advanced machine learning techniques. Work closely with the software engineering team to productize analytic software, using statistical programming languages like R and Python. Work in a highly interactive, team-oriented environment. Master's degree in a STEM field, with statistics courses or proven expertise, and 2 years of experience. MUST HAVE: conceptual knowledge of statistics and basic theory
## 84 Position: Data Scientist\nLocation: Wilmington Delaware \nDuration: 3+ Months\n \nResponsibilities: \nWe are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:\nExperience querying databases and using statistical computer languages: R, Python, SLQ, etc.\nExperience using web services: Redshift, S3, Spark, DigitalOcean, etc.\nExperience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.\nExperience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.\nExperience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.\n \n\n\nJob Requirements\n\nPosition: Data Scientist\nLocation: Wilmington Delaware \nDuration: 3+ Months\n \nResponsibilities: \nWe are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:\nExperience querying databases and using statistical computer languages: R, Python, SLQ, etc.\nExperience using web services: Redshift, S3, Spark, DigitalOcean, etc.\nExperience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.\nExperience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.\nExperience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.\n \n
## 85 OverviewAre you passionate about solving big scientific problems in education through innovative technology and working in a highly multi-disciplinary collaborative environment? Would you like to know more about how computer vision, affective computing and machine learning are helping create new forms of learning and assessment tools? If this sounds intriguing, then we'd like to talk to you about a role as part of a new ACTNext ACT R&D team tackling a set of problems requiring significant innovation. ACTNext has an opening for a Data Scientist II in the AI and Machine Learning group. This newly established group is pursuing cutting edge multidisciplinary research in creating a new generation of learning and assessments targeting modern educational paradigms including adaptive learning, educational content development, educational games and various forms of behavioral and in vivo assessments. We are conducting research on using rich multi-sensory data including audio and video and recent advances in NLP, computer vision, affective computing, psychometric analysis and cognitive science to build some of most advanced dynamic models for educational assessment in authentic, real-world scenarios. This is an excellent opportunity to be a part of a research and development team and make an impact with innovative education technology. ResponsibilitiesTYPICAL DUTIES AND RESPONSIBILITIES Deliver data science projects from beginning to end, including understanding the business need, aggregating data, exploring data, building and validating predictive models, and deploying completed models to deliver business impact to the organization Utilizing open source software for multi-sensory data capture and analysis with machine learning models (e.g. LibSVM, TensroFlow etc.) Developing and running different algorithms for detecting features from multiple sensory data including text, audio and video. Fusing data and features from multiple modalities. Building discriminating classifiers, generative models and running analyses. These could be computer vision, NLP, statistical and / or machine learning algorithms Building models for educational data mining and analysis of student/learning activity process data. Performing statistical analyses such as multivariate linear and logistic regression Make scholarly contributions through research publications and provide technical documentation of data science projects including presentations, technical reports and code documentation Collaborate cross-functionally with product managers, assessment designers, psychometricians, research scientists, engineers, and analysts\nQualificationsMinimum Qualifications Education: Master's degree required, preferably in Computer Science with a focus on data science fields such as machine learning, data mining, etc. Or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired\n Experience:A minimum of 3 years of related experience that includes: Demonstrated success conducting predictive modeling, data science, and analysis projects Solid programming experience utilizing Python and or R, Java, C, C++. Experience using cloud computing for data science such as AWS, Azure, TensorFlow Research expertise and scholarly contributions in data science preferred Experience in deep learning is a plus. Experience in educational data mining and education industry is a plus. \n Knowledge, Skills and Abilities: Excellent oral and written communication skills Ability to collaborate with others Demonstrated willingness to both teach others and learn new techniques Agile and innovative mindset Ability to take initiative\n
## 86 FRIENDFINDER NETWORKS OVERVIEW\nFriendFinder Networks Inc. is a leading Internet-based social\nnetworking and technology company operating several of the most\nheavily-trafficked websites in the world. We provide our customers with a wide\nvariety of online products and services, appealing to members of diverse\ncultures and interest groups, so they can interact with each other and enjoy\nour content. Our sites’ services include social networking, online personals,\nlive and recorded video, online chat rooms, instant messaging, photo and video\nsharing, blogs, message boards, email and premium content websites.\n\nWe’re looking for a talented Data Scientist who is driven by\nchallenges to use data to provide actionable insights for growing the\nnext-generation social media platform to join our team. We enable teams to\ncollaborate for the deployment of lightweight web and mobile apps for social\nnetworking and live-streaming videos used by millions of users every day. You\nwill work closely with other teams that have a profound and immediate impact on\nour vision with real-time social media in the global community. We connect\npeople fast, anywhere in the world, in real-time 24 hours a day. \n \nWHY JOIN US?\nOur mission is to bring people with shared interest together through\nsocial media in a safe, enjoyable, and friendly environment. We want to hire\npeople who share our global vision of connecting people through social media,\nto join our collaborative team. People who thrive on being challenged, enjoy\ncollaborating with others, and want to engineer solutions for people with\ncommon interests to connect. Are you ready to take on the challenge and work on\nexciting projects? \n\n\nWHAT WE WANT\nFriendFinder Networks is looking for a Data Scientist with the\nprimary responsibility to query and analyze large disparate datasets looking\nfor relationships and trends typically related to increasing revenue, improving\nmembership conversions, fraud detection and prevention, and providing actionable insights for solutions\nto business problems. You will communicate your findings and make presentations\nto senior management on a regular basis. Your contributions\nwill ensure FriendFinder Networks will continue to provide our customers the\nbest possible user experience for everyone who visits our web sites 24 hours a\nday, every day of the year, all over the world. \n\n\nJob Requirements\n\nWHAT YOU WILL DO\n\nAnalyze complex data to provide recommendations for maximizing profitable revenue, traffic conversion opportunities, and reducing costs to support business objectives\nPerform data analysis to support executive decisions\nWork with stakeholders identifying and defining operational problems, plan project strategy, and define data requirements\nPerform complete queries across multiple database/servers, and ideally, stored procedures, user defined functions, events, etc\nDive into complex data sets to analyze trends, identify opportunities and quantify the potential value of new initiatives\nCollect and evaluate data gathered from multiple sources and abstract up from low-level information to a better understanding to present to management and executives\nAble to define business requirements for reporting, dashboards, analytics and ad-hoc reporting for various Business Units\nEffectively communicate findings to non-technical stakeholders and senior leadership\n\n\n\nWHAT YOU MUST HAVE \nBachelor’s degree in applied or technical discipline (CS, Math, Statistics, Engineering or similar) is required\n2 years’ of relevant business analysis experience\n2 years’ Google Analytics experience preferred\nExperience with R/S-Plus, SPSS, SAS, STATA (or similar), MS SQL Server Analysis Services, etc. is required\nProgramming or scripting language experience would be advantageous (e.g., Perl)\nStatistical background with experience in regression analysis, correlation analysis, clustering , machine learning\nMust be comfortable with adult content\nMust be at least 21 years old\n\n\n\nWHAT IS PREFERABLE TO HAVE \nHands on advanced experience with MYSQL, writing queries\nAdvanced MS Excel (e.g., pivot tables, MS query, array formulae, user-defined functions, etc.)\nDemonstrated ability designing effective solutions to complex problems; intuitive/natural aptitude for problem solving\nSolid track record of ownership of projects and adept at working independently with little supervision\nArticulate and comfortable communicating with colleagues, different teams, and all levels of management\n\n\nWHAT YOU SHOULD BE ABLE TO DEMONSTRATE\nDemonstrated strong analytical skills\nTeam-player, positive attitude and flexible\nExcellent verbal and written communication skills\nAbility to handle multiple projects simultaneously while meeting deadlines\nShould have a high degree of honesty and integrity\nShould be a team-player, positive attitude and flexible\n\n \n\nREPORTING TO THIS POSITION: No direct reports\n\n\n\nPERKS \n\nFriendFinder Networks Inc. and its subsidiaries offer a business casual work environment, flexible work hours, and a competitive salary. The benefits package includes:\n401(k) with a 5% match on eligible earnings with no vesting period\nMedical (Kaiser HMO, Aetna PPO), Dental, and Vision\nFlexible Spending Account for Healthcare and Dependent Care\nLife Insurance, AD&D, LTD and Short and Long Term Disability\nPaid Time Off (20 days PTO) and Holiday Pay (12 company paid holidays off)\nEmployee Assistance Program\nCommuter Benefits\n529 Education Plan\nTuition Reimbursement\nHealth Club Reimbursement \n\n\nABOUT US\n\nFriendFinder Networks is an international leader in social media founded in 1996 by Andrew Conru. Originally started as a main-stream social networking site, the company quickly adapted to consumer preferences, and branched out into different social media verticals. Andrew Conru is still directing FriendFinder Networks’ vision for pioneering new development of innovative and social media technology connecting people every day all over the world.\n\n\n\nOUR HUMANITY (Equal Opportunity Employer)\n\nAt FriendFinder Networks we are proud to celebrate diversity of people for the benefit of our employees, our products, and the global community we all belong to. \n\n\nIt is the policy of FriendFinder Networks Inc., and its subsidiaries, to provide equal employment opportunities to all employees and applicants for employment. All employment practices such as recruitment, selection, promotions, and other terms and conditions of employment are administered in a manner designed to ensure that employees and applicants for employment or services are not subjected to discrimination on the basis of age, race, color, sex, sexual orientation, gender identity, national origin, ancestry, medical condition, disability, marital status, religious or political preferences or union affiliation.
## 87 Position is on the staff of a not-for-profit government consulting firm located in Tysons, VA. The Junior Data Scientist position will be embedded within our LMI Data Analytics Practice and leverage your curiosity and problem solving skills to explore, discover, and predict patterns contained within data sets for a wide range of government clients. This includes the derivation of clear narratives that help our clients understand their data and how those insights address their specific research questions.\n\nResponsibilities\n\nDemonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions.\nPossess the ability to work with and manipulate common data formats, including comma-delimited, text files, and JSON.\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.\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.\nAbility to work in a fast-paced, solutions oriented environment focused on client deliverables, analysis and reporting.\nPossess the ability to work in teams and independently.\n\nQualifications\n\nBachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.\nExperience working with tools including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).\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.Working knowledge of databases and SQL is desired. Preferred qualifications include linking analytic and data visualization products to database connections.\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.\nPreferred experience in the following areas:\nExperience with R, Python, SAS, and/or MATLAB.\nExperience with Anaconda, IBM Blue, Oracle Big Data) to analyze large data sets and develop automated analytics in making sense of data affecting DoD operations. \nExperience developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets. \nKnowledge of statistical programming languages, including but not limited to SAS and R, Java, and Python\nExperience supervising algorithm implementation in on-premise and cloud-based computing environments.\nDevelop software to generate reports and visualizations that summarize data sets and provide data driven insights. \nExperience developing and implementing statistical, machine-learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as develop statistical tests to make data-driven recommendations and decisions.\nAt least 5-10+ years of experience in the field is required\nSuperior communication skills, both oral and written.\nDOD Secret Clearance required\nMarine Corps or DOD experience preferred \n
## 88 General Mills is reshaping the future of food. We believe food makes us better. It nourishes our bodies, brings us joy and connects us to each other. As one of the world's leading food companies, General Mills operates in more than 100 countries and markets more than 100 consumer brands, including Cheerios, Nature Valley, Betty Crocker, Yoplait, Annie's Homegrown, Old El Paso, Epic Provisions, Blue Buffalo and more. Are you passionate about the future of food? You've come to the right table. We want the very best talent to help lead something big.\n\nResponsibilities\n\nDo you find that you see patterns or opportunities that others don’t see? Do you enjoying asking questions and analyzing data to deepen your knowledge? Do you like to challenge historical assumptions and recommend new ways to drive action based on data driven insights? Do you like to find the best way to tackle a problem and share the approach with others?General Mills is seeking a Sr. Data Scientist to join an established and growing data science team in the Global Business Solutions shared services organization. Our team is the Data Science center-of-excellence for General Mills, tasked with serving functional data science and analytics teams through the whole Fortune 500 organization. Some of our projects include demand forecasting, text classification, operational analytics, and pricing optimization. We are looking for candidates who enjoy solving new, difficult problems, working with diverse internal business partners, and who can deliver continual improvement in both themselves and those they work with.Solve business problems\nDevelop novel ways to help business partners meet objectives utilizing cutting edge techniques and tools\nAdvocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems \nLead analytic approach within cross-functional projects\nCreate exemplary analytic data products\nUtilize machine learning on the General Mills Hadoop Data Lake to create repeatable, dynamic & scalable models\nEngineer features by using your business acumen to find new ways to combine disparate data sources\nShare your passion for Data Science\nCurate and connect external data sets for broad enterprise-wide analytic usage\nIdentify and develop long-term data science processes, frameworks, tools, and standards\nCollaborate, coach, and learn with a growing team of experienced Data Scientists\n\n\nQualifications\n\nBachelor’s Degree required, MS or PhD preferred\nBachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience\nLeadership and business Exceptional communication & collaboration skills to understand business partner needs & deliver solutions\nExemplary organizational skills with attention to detail & accuracy \nBias for action, with ability to deliver outstanding results through task prioritization & time management\nDemonstrated ability to efficiently learn and solve new business domains and problems\nAbility to coach, mentor, and collaborate with business partners, analysts, and team members\nExperience with ecommerce, web analytics, search engine optimization, or supply chain transportation desired\nTechnical Scope Must have Python or R proficiency working with DataFrames\nMust have proficiency writing complex SQL queries\nMust have proficiency leveraging Machine Learning to solve problems\ne.g. Clustering, Classification, Neural Networks, Regression, Anomaly Detection, Ensemble Models\nMust have proven ability to merge and transform disparate internal + external data sets in multiple formats\nExperience with Git repositories, version control, and/or code reviews strongly preferred\nExperience with Big Data technologies desired — Hadoop, HDFS, Hive, Impala, Spark, H20.ai\nExperience with data visualization tools desired — Tableau, Spotfire, R Shiny, Plotly\nExperience with deploying and monitoring models desired
## 89 Job Number: R0034372Data Strategist, SeniorKey Role:Comprehend data and data management from an enterprise architecture view and translate business-oriented information requirements into technical data management solutions by developing and implementing enterprise data strategies for the management and sharing of data that enables more effective cross-enterprise and inter-enterprise system interoperability. Ensure that enterprise data assets are governed by a comprehensive data management approach. Leverage knowledge and expertise in database design, data modeling, data integration, modern data implementations, big data tools, and data exchange standards.\nBasic Qualifications:-7+ years of experience in data strategy work-7+ years of experience with general management consulting-Experience with supporting Agile or Systems Development Life Cycle (SDLC) processes-Experience in engaging with clients to capture and prioritize business needs-Experience with reporting and tracking requirements-Experience with designing and analyzing performance metrics-Ability to travel to the client site in New Carrollton, MD 3 days per week with periodic travel to local offices in the DC Metro Area, including Washington, DC, McLean, VA, and Rockville, MD-BA or BS degree\nAdditional Qualifications:-Experience with presenting material to senior division, program, and government officials-Ability to astutely operate in uncertain environments with authority and influence-Ability to emphasize methodology, modeling, and governance while remaining technologically and politically neutral-Ability to be articulate, persuasive, and enthusiastic with a knack for good storytelling-Ability to explain advanced concepts to team members, users, and clients-Ability to work independently and address ad-hoc challenges-Ability to be resourceful and perform desk research-Ability to demonstrate domain expertise, business acumen, program management, resource allocation, collaboration and teamwork, data science consulting, ethics, and integrity-Ability to demonstrate inductive and deductive reasoning-Ability to demonstrate perseverance, innovation and creativity, resilience and hardiness, inquisitiveness, adaptability or flexibility, ambiguity tolerance, detail-orientation, self-confidence, and strong work ethic-Ability to obtain a security clearance-Possession of excellent oral and written communication skills-Possession of excellent critical thinking and problem-solving skillsWe’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.
## 90 A prominent employer in the Atlanta area has an immediate opening for a Data Scientist to support their Chatbot team. This position is a minimum 12 month contract with possibility for full-time employment. Prior AI, Machine Learning, Chatbot experience preferred. 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. 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. Must have a proven ability to drive business results with their data-based insights. 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. Responsibilities for Data Scientist: Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Qualifications for Data Scientist: Strong problem solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, 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. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using web services Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience with distributed data/computing tools Experience visualizing/presenting data for stakeholders
## 91 SR. DATA SCIENTIST (Direct-Hire)Location: Anaheim, CASalary: Open at Market Responsibilities include the design and development of predictive models using machine learning techniques. Work with key stakeholders to define business questions, success criteria, and model deployment plans. Conducts exploratory data analysis and prepares visualizations summarizing key features of the data. Develops program plans and road maps for Data Science.Qualified Candidates will have:\nBS Degree or equivalent experience required\n\n\n\n5+ years of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Boosting, Ensembling, Neural Networks, etc.\n\n\n\n5+ years of scripting and programming skills in Python with focus on clarity, reproducibility, and reusability.\n\n\n\n5+ years of SQL ETL processes (SSIS, SSAS).\n\n\n\nExperience with Azure based development.\n\n\n\nExperience with the ability to consume and deploy data via APIs.\n\n\n\nExperience applying supervised, unsupervised, and semi-supervised learning techniques.\n\n\n\nExperience analyzing large data sets to draw conclusions about data integrity, accuracy, and general relationships\n\n\n\nExperience with common data science / ML toolkits, such as NumPy, SciPy, Scikit-Learn, TensorFlow, Caffe2, MxNet, Torch, etc.\n\n\n\nExpertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, sequential pattern discovery, and text mining.\n\n\n\nAbility to work with pre-existing guidelines, standard operating procedures in a fast-paced professional environment.\n\n\n\nExcellent communication skills (written and verbal)\n\n\n\nStrong attention to detail, highly organized, computer literate\n\n\n\nAbility to work well in a fast-paced professional office environment\n\n\n
## 92 Are you obsessed with gathering data to illuminate the darkness of uncertainty? Are you passionate about creating an excellent customer experience? Are you a "full stack data scientist and/or data engineer looking to work alongside highly motivated teammates and make a real difference at the highest level of a large organization? Then this position is for you!Data Scientist - Customer Journey Analytics | Jacksonville, FLSUMMARYYou will work alongside a multi-disciplinary team of customer experience fanatics to create better outcomes for our business and our customers. You'll bring the technical know-how and scientific curiosity to combine analytics, design, and consulting frameworks to improve customer experience by understanding, tracking and predicting sequences of events and interactions. You'll help business leaders answer critical questions related to customer journey mapping, customer experience transformations, digital adoption, multichannel acquisition, and other health care solution-specific challenges. You will help achieve tangible improvements across every member, patient and product journey! You'll use your business savvy to understand each customer journey, you'll satisfy your impulse to measure everything and establish journey baselines, and then you'll use your exploratory skills and data intuition to deliver customer insights on current pain points for customers and our business. In addition, you'll use your technical know-how to provide critical solutions to improve the customer experience, and your machine learning magic to push the solutions to the cutting edge.\nRESPONSIBILITIESStudy customer journeys and identify the best KPIs to measure and track success Establish a baseline for each journey with consideration of the total cost and revenue opportunity, customer penetration and member satisfaction impact Identify and understand the ways in which each customer's journey manifests itself in our data Identify missed opportunities to capture valuable data and help implement a solution Query databases, call APIs, and wrangle data from many sources into a coherent digital record of each customer's journey Interrogate the data to identify existing customer pain points and proactively identify new ones as they emerge Plan and execute effective experiments to lead the testing of new solutions (A/B testing, etc.) Provide recommendations to develop new solutions to improve the customer experience, optimize cost and revenue, and improve key customer metrics Own journey KPI measurements and scorecards to track business impact of analytical activities, strategy, and innovations Use data to drive your own decisions and follow the scientific method from hypothesis to conclusions and results Apply statistical rigor in analyses and know which statistical method to apply in every situation Make all analyses reproducible, share them with collaborators, and review the work of others Deliver presentations that concisely communicate insights with the objective of influencing successful change across the organization\nREQUIRED SKILLSMaster's degree in Mathematics, Statistics, Analytics, Operations Research, or similar field Hands-on analytics experience (6+ years of work experience working in a datacentric business environment) Expert with python and/or R Expert in SQL and working knowledge of relational databases Experience communicating effectively through visualizations Education and experience using statistical and computational techniques to test hypotheses and answer questions A proven ability to choose the right technique for the question being asked A strong commitment to reproducible research and documentation Empathy for customers and a passion for making their experience excellent Industry experience in healthcare is preferred but not necessary
## 93 Job Description SummaryCCC information Services, Inc. is seeking a Computer Vision Data Scientist to develop computer vision & deep learning models as part of the Data Science team. The Data Science team at CCC is currently working on the most important strategic initiatives of the company. The Computer Vision Data Scientist will contribute to a photo analytics project with the goal of developing a fully automated solution for an auto collision damage appraisal. We are seeking a candidate who will bolster existing capabilities and suggest new, exciting changes and improvements.Job Duties* Lead implementation and scaling of vision and estimation algorithms* Apply supervised and unsupervised deep learning models to images and videos* Work with other vision scientists and engineers to deliver deployable technology while seeking creative ways to streamline processing and workloadQualifications*Must have a Master's Degree or Ph.D. in Applied Math, Electronics Engineering, Computer Science, Computer Engineering, or related engineering field* Experience in machine learning algorithms for vision problems including deep learning algorithms for image segmentation, object and motion detection, classification*Advanced mathematical modeling skills*Experience programming in Python, especially the data science stack: numpy, scikit-learn, pandas, matplotlib*Experience in at least one of the following frameworks is required: Keras, Tensorflow, PyTorch*Comfortable with OpenCV and other computer vision libraries*Knowledge of Linux systems in Ubuntu, CentOS*Expert in algorithm design, creative problem solving, and performance optimization*Knowledgeable with computational geometry, linear algebra, and statistics*Exceptional problem solver and communicator*Effective documentation practices and experience writing reportsPreferred Qualifications \n* The ideal candidate will have 2+ years of practical experience in deep learning in computer vision* Parallel computing and analytics skills* Familiarity with software design and scalable software architectures* Knowledge of 3D computer vision and video analytics algorithms* Skilled with using scripting languages to manipulate large data-setsWhy Choose CCC:\nWe promote a healthy work-life balance and offer generous benefit plans and resources designed with employee satisfaction in mind.What we value is simple - customers, employee commitment, collaboration and clear communication.We hire people who will embrace the company's goals and productively contribute in ways that help us serve the customer, innovate, and stay strong.We make it a priority to keep employees healthy, happy and enriched.\nHealthy - Wellness programs, competitive medical benefit offerings\n\nHappy - Recognition programs, a confidential employee assistance program, Perkspot/employee discount program and potentially flexible work arrangements such as staggered start times\n\nEnriched - Tuition reimbursement, training and learning programs, and leadership development opportunities\nOur corporate headquarters is located in downtown Chicago within the historic Merchandise Mart-a certified LEED (Leadership in Energy and Environmental Design) building.Please Note: Contingent Workers, Field Inventory Representatives and Interns are not eligible for the benefits above.\n\nCCC Information Services was recognized by Forbes as one of America's Best Mid-Sized Employers in 2018 and ranked #17 in the Top 100 Digital Companies in Chicago in 2017 by Built In Chicago.\nCCC is ready to help you shift your career into high gear. Let's get started!
## 94 Data Scientist\nLocation: Atlanta, GA\n12-month contract to hire\nW2 only\n\nOur client, a well-known software company, is looking for a Data Scientist that will be responsible for building predictive analytics and integrating best practices. This is a great opportunity to work with an established company on a new data science team to drive recommendations and identify opportunities. If you are looking for a role working extensively with analytics tools in a client facing capacity, we would love to speak with you.\n\n\n\nJob Requirements\n\nRequirements of Data Scientist: \n· Strong data analysis experience with a progression into data science\n· Experience with R and/or Python\n· Proven background understanding business problems and finding solutions/actionable insight.\n· Ability to communicate with technical and nontechnical stakeholders\n· Bachelor’s in Computer Science or related\n\nFor immediate consideration please reach out to Diana Rios at [Click Here to Email Your Resumé]\n\n
## 95 Description:\n\nWhy Asurion?\nAsurion is seeking for Data Scientists to join our Data Science team. Individuals in this role identifies and address complex business problems. Designs and drives the creation of new data products and analytical capabilities embedded in multiple business applications. Gathers and analyzes large volumes of data, evaluates scenarios to make predictions on future outcomes and supports decision making. Comfortable in using advanced statistical data modeling techniques and tools.\n\nRole and Responsibilities\\: \n Asurion is seeking for Data Scientists to join our Data Science team. Individuals in this role identifies and address complex business problems. Designs and drives the creation of new data products and analytical capabilities embedded in multiple business applications. Gathers and analyzes large volumes of data, evaluates scenarios to make predictions on future outcomes and supports decision making. Comfortable in using advanced statistical data modeling techniques and tools. \n\n\nUses business acumen to solution strategy and roadmap problems and make best practice recommendations.\n\n\n\nResponsible for using analytic techniques like advanced data visualizations, machine learning, Natural Language Processing and large scale optimization to improve Asurionâ\u0080\u0099s wireless and retail customersâ\u0080\u0099 experiences. \n\n\n\nWork closely with product managers to identify and answer important product questions that help improve outcomes\n\n\n\nInterpret problems and provide solutions using appropriate data modeling techniques\n\n\n\nDevelop prototypes for new data product ideas\n\n\n\nDesign large scale models using Logistic Regression, Decision Trees, Conjoint Analysis, Spatial models, Time-series models , and Machine Learning algorithms\n\n\n\nUtilize Natural Language Processing to analyze speech and social data\n\n\n\nCommunicate findings to product managers and development groups\n\n\n\nDrive the collection of new data and the refinement of existing data\n\n\n\nAnalyze and interpret the results of product experiments\n\n\n\nRegularly invents new and novel approaches to problems; Takes initiative and breaks down barriers to solve problems; recognized within team as the source of solutions.\n\n\n\nComfortable manipulating and analyzing complex, high-volume, high dimensionality data from multiple sources\n\n\n\nA strong passion for empirical research and for answering hard questions with data\n\n\n\nAbility to communicate complex quantitative analysis in a clear, precise, and actionable manner \n\n\nHereâ\u0080\u0099s what youâ\u0080\u0099ll bring to the team\\: \n\n\nMaster's or PhD preferably in an engineering, statistics, technology or science role.\n\n\n\nAnalytics - Familiarity with common advanced analysis tools - SQL, Python, R, SAS are preferred.\n\n\n\nDemonstrate familiarity (work experience, Github account) with OOP concepts. Python, Java, Scala skills is a big plus.\n\n\n\nMachine Learning, Deep Learning, NLP experience and also working in Hadoop and/or Spark environment.\n\n\n\nAbility to ask and tackle the most important analytical questions with a view on driving product impact.\n\n\n\nDriven and focused self-starters, great communicators, amazing follow-through- you aggressive tackle your work and love the responsibility of being individually empowered\n\n\nAbout Asurion\\:\n\nSimply put, Asurion helps people stay connected. As the global leader of connected life services, we provide over 290 million consumers around the world with simple, intuitive technology advice to help them get the most from their devices; support to fix their issues and connectivity crisis, and device protection to ensure they receive a replacement or repair. When a product is missing or simply doesn't work properly, Asurionâ\u0080\u0099s 17,000 employees are focused on solving the problem with people and processes operating 24 hours a day, seven days a week, speaking six languages, and working across any device, platform, or provider. By partnering with leading retailers, mobile carriers and pay-tv providers, Asurion helps customers enhance their lives through their technology. For more information about Asurion, please visitwww.asurion.com\n
## 96 Please send qualified resumes to Justin at [Click Here to Email Your Resumé], or call 610-617-1504. Description We are looking for a Data Scientist to join the Data Analytics team. The right person will have a 60/40 split of experience with building mathematical models and data visualization within AWS respectively. This person will be responsible for building mathematical models, statistical modeling, predictive models utilizing multiple different data sets. They will also need to be able to present this information via Tableau. This person should have experience with the following: Sage Maker Domino Data Laboratory R Python Learning Libraries S3 Lambda EMR Tableau for visualization in AWS
## 97 NTT DATA's Client is seeking a Sr. Data Scientist with 6+ years experience and should be expert in R & Python language, and optionally in different programming languages such as Scala, SQL and SparkBeing able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing;Responsibilities The Data Scientist role is responsible for guiding the successful delivery of NTT Data Advanced Analytic Solutions and Services to a client in a consultative environment. The Data Scientist will be responsible for designing and executing processes related to machine learning & predictive / analytical modeling, data mining, and research on large scale, complex data sets, using statistical, machine learning, graph modeling, text mining and other modern techniques. This individual is also responsible for collaborating with various teams, and providing periodic updates through presentations and prototype demonstrations. The role will require working on multiple projects simultaneously. This position will also be involved in the formulation of key business requirements to be solved, rationalizing the various analytical approaches to solve those problems. Finally, this position is involved in helping to develop, analyze and draw conclusions, and presenting the results back to the clients.Experience Needed:Having the ability to query databases and perform statistical analysis; Being able to develop or program databases; Being able to work independently and guide other Junior Data Scientists. In addition, they need to be familiar with disciplines such as: Machine learning & Predictive modeling Conceptual modelling: to be able to share and articulate analytics outputs Statistical analysis: to understand and work around possible limitations in models Hypothesis testing: being able to develop hypothesis and test them with careful experiments Expert in NLP, Text Analytics, Population Health, Optimization algorithms etc. Linux intermediate, Exposure to Hadoop HDFS and eco-system Strong ETL skillsets Experience with automated ML tools like H20.AI or Data Robot is a plus\nSkills –They need to have statistical, mathematical, predictive modelling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. They also need to be able to communicate their findings, orally and visually. Need to understand how the products are developed. They need to be thinkers who can ask the right (business) questions. Should be able to link and mash up distinctive data sets to discover new insights. Work with potentially incomplete data sources and cleaning data sets to be able to use them.3-7 years of Data Science experienceExperience in health care industry is a plusNTT DATA Services is a leading IT services provider and global innovation partner with 130,000 professionals based in over 50 countries. NTT DATA recently acquired Dell Services. NTT DATA Services emphasizes long-term commitment and combines global reach and local intimacy to provide premier professional services, including consulting, application services, business process, IT outsourcing, and cloud-based solutions. We are a part of NTT Group, one of the world's largest technology services companies, generating more than $100 billion in annual revenues and partner to 80% of the Fortune 100. Visit www.nttdataservices.com to learn how our consultants, projects, managed services, and outsourcing engagements deliver value for a wide range of businesses and government agencies. The Company is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. The Company will consider all qualified applicants for employment without regard to race, color, religious creed, citizenship, national origin, ancestry, age, sex, sexual orientation, genetic information, physical or mental disability, veteran or marital status, or any other class protected by law. To comply with applicable laws ensuring equal employment opportunities to qualified individuals with a disability, the Company will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship to the Company would result
## 98 Overview\nMedical Science & Computing (MSC) is an exciting growth oriented company, dedicated to providing mission critical scientific and technical services to the Federal Government. We have a distinguished history of supporting the National Institutes of Health (NIH) and other government agencies. MSC offers a dynamic and upbeat work environment, excellent benefits and career growth opportunities.We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, Medical and Flexible Spending Accounts, Pre-Tax Transit Assistance and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!\n\nDuties & Responsibilities\n\nMedical Science & Computing is searching for a Proteomics Data Scientist to support the National Institutes of Health (NIH). This opportunity is full-time, and it is on-site in Rockville, MD.Duties & Responsibilities:Design and implement computational methods for high-throughput analysis of mass spectrometry data, in particular for proteomics\nAnalyze biological data, integrating proteomics and genomics (proteogenomics)\nWork closely with researchers to assist them with selection of appropriate methods, use of databases and interpretation of data\nProvide training and support in the use of commercial and/or open source tools for proteomics analysis (e.g. PEAKS Studio)\nCollaborate with researchers providing proteomics analysis services including presentation of results\nProvide statistical and bioinformatics consultation to NIH scientists\n\nRequirements\n\nPosition Requirements: Ph.D. preferred. (Preferred degree in Analytical Chemistry, Structural Biology, Computer Science, or related discipline) OR M.S. degree with 4–6 years relevant work experienceAmple expertise in LC-MS/MS methodologies and data analysisUnderstanding of common proteomic assays and techniques, from basic proteolytic digestions to more complex tasks in post translation modification analysis, proximity ligation, and structural crosslinkingSolid foundation in proteomic bioinformatics, search algorithms, and data processing workflows, and the ability to develop new analyses in RMass spectrometry-based lipidomics/metabolomics experience is a plusExcellent analytical and problem-solving skillsExcellent written and verbal communication skillsQualified candidates must be legally authorized to be employed in the U.S.Medical Science & Computing is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.
## 99 Data Scientist 6426Our client is seeking a customer facing Data Scientist to translate customer data and problems in ways that the ML system can solve the problems. The identified candidate will need to have a sense of humor and be able to work in a fast-paced start up environment. Possessing an ability to adapt to shifting schedules and priorities will contribute to success in this environment. Anyone joining this team should have the ability and willingness to accept criticism and be able to explain and defend their suggestions and ideas. The Data Scientist role is a direct hire opportunity with one of our clients in Raleigh, NC. Client wants to see all qualified candidates, so salary range is open. Local candidates strongly preferred, but will consider relocating the right candidate. Partial telecommute from the local area possible. No sponsorship or C2C arrangements available.Responsibilities of the Data Scientist:Help customers translate their data and problems in ways that our ML system can solve them\nCreate requirements and select algorithms for tools that customers can use themselves as part of our ML system\nCharacterize aspects of our ML system and recommend ways it can be improved\nIdentify a new customer's best problems and data sets\nTransform and process the data sets to maximize accuracy, performance, and ML transparency\nCommunicate results to customer and make recommendations for future work\nQualifications of the Data Scientist:At least 3 – 7 years of industry experience\nExperience applying machine learning and/or advanced statistics techniques to solve problems\nExperience with all aspects of feature engineering, including interviewing subject matter experts, feature transformation, feature evaluation, and feature selection\nGood writing and communication skills\nProficiency with 2 or more of the following: Java, C#, Python\nBS in computer science, statistics, or another field related to ML\nApproachable, friendly demeanor\nSystems thinker\nGood at tracking down problems and finding opportunities\nDesired Attributes of the Data Scientist:Knowledge of ways to improve throughput and reduce latency on various computing platforms and networks\nBreadth of knowledge and ability to communicate pros and cons about many different statistical techniques and machine learning algorithms\nMS in computer science, statistics, or another field related to ML\nContact Martha Michaux at [Click Here to Email Your Resumé] or (919)981-6200 x314 with questions regarding this posting. A Word resume is preferred when applying.When looking for a job, have you ever heard the phrase… it is not about what you know, it is who you know?At HireNetworks, it really is all about who we know.Whether your current contract is coming to a close, you’re looking to advance your career or are a company on the hunt for new talent and wanting to expand…let HireNetworks put our networks to work for you.HireNetworks is an equal opportunity employer.
## 100 • A basic understanding of Agile methodologies and continuous delivery. • Excellent data visualization skills, is able to determine the appropriate visualization for a variety of data types and create compelling stories with data.• An advanced understanding of supervised and unsupervised learning techniques including; variable selection, feature engineering, model generation, model diagnostics, and deployment. • Excellent statistical skills that are grounded in a thorough understanding of testing and frequentist/Bayesian methodologies.• A proven track record of leading successful projects and driving measurable, viable results using Data Science techniques. • Exceptional written and verbal communication skills, comfortable presenting in front of large audiences.\n\nJob Requirements\n\n• Advanced SQL skills and is comfortable operating with relational data models and structure. • Advanced skills with NoSQL databases and can interact with large amounts of data stored in a Hadoop environment. • Is capable of accessing data via a variety of API/RESTful services.• Advanced programming skills in either R, Python, or similar analytical language.• Intermediate knowledge of Linux and Bash. Can interact with the OS at the command line and create shell scripts to automate workflows. • Experience with state of the art techniques such as AI and Deep Learning. • Advanced knowledge of Apache Spark. • Intermediate knowledge of cloud environments such as AWS and Azure.• Intermediate understanding of software development and collaboration, including experience with tools such as Git.
## 101 Data Scientist Location: Milpitas, CATerm: Contract to Hire, W2 contract ONLY--(Candidate must be able to convert to full-time with NO sponsorship required)Rate: $45-65/hrSummary: Our prestigious client is looking to hire two Data Scientists to analyze large amounts of raw information to find patterns that will help improve their successful flash storage manufacturer organization as a whole. They will rely highly on these individuals to build data products to extract valuable business insights and machine learning into their manufacturing practices.PLEASE NOTE: This is a Contract to Hire role, and it is a W2 contract ONLY--(Candidate must be able to convert to full-time with NO sponsorship required)Data Scientist Responsibilities:Identify valuable data sources and automate collection processes\nUndertake preprocessing of structured and unstructured data\nAnalyze large amounts of information to discover trends and patterns\nBuild predictive models and machine-learning algorithms\nCombine models through ensemble modeling\nPresent information using data visualization techniques\nPropose solutions and strategies to business challenges\nCollaborate with engineering and product development teams\nData Scientist Skills:2-3 years of related experience\nMUST HAVE Machine Learning Experience\nPython, Hadoop OR R programming skills\nPrefer a candidate with past semi-conductor or manufacturing data/environment experience \nWhy Kelly®?With Kelly, you’ll have direct connections to leading IT organizations in the best companies around\nthe globe—offering you the chance to work on some of today’s most intriguing, innovative and high-\nvisibility projects. In a field where change is the only constant, our connections and opportunities\nwill help you take your career exactly where you want to go. We work with 95 of the Fortune 100™\ncompanies, and more than 3,000 IT hiring managers turn to us each year to access the best talent:\npeople like you. \nLast year we found 8,000 opportunities for IT professionals. Let us help advance your career\ntoday.\nAbout\nKelly Services®\nAs a workforce advocate for over 70 years, we are proud to directly employ nearly 500,000 people around the world and have a role in connecting thousands more with work through our global network of talent suppliers and partners. Revenue in 2017 was $5.4 billion. Visit kellyservices.com and connect with us on Facebook, LinkedIn and Twitter. \nKelly Services is an equal opportunity employer including, but not limited to, Minorities, Females,\nIndividuals with Disabilities, Protected Veterans, Sexual Orientation, Gender Identity and is\ncommitted to employing a diverse workforce. Equal Employment Opportunity\nis The Law.
## 102 Grade: 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: To entertain the human race.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.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.Analytics Process DesignIdentify business needs and propose potential analytics approaches for solutions.\nDevelop and tune high performance analytics models solutions used by analytics team.\nEvaluate analytics solutions and their performance.\nDefine internal business processes and information required to support those processes.\nTroubleshoot and deploy application of analytics products.\nAnalytics Models DevelopmentDevelop, 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.\nDevelop and integrate advanced analytics, predictive analytics and/or decision analytics optimizing marketing efforts.\nCreate customized tools for customer scoring, classifications, campaigns evaluation, and business evaluation reports.\nProvide customer insights and corresponding marketing actions through statistics models, machine learning algorithm and/or optimization models.\nProject ManagementUtilize project management, analytical expertise to improve internal performance.\nManage processes and timelines to facilitate the development, deployment, and enhancements of analytics projects.\nCollaborate with other analysts to define, communicate, and document on project development.\nTake 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.\nProvide junior mentorship to analysts to lift skills around accelerated delivery of new capabilities.\nPerform other job related duties as requested.\nRequired:Bachelor’s Degree in one of the following: Computer Science, MIS, Industrial Engineering, Statistics or related field or comparable work experience.\nAt least 3 years of experience with SQL or Teradata databases development.\nExcellent customer service skills.\nHave interpersonal skills to deal effectively with all business contacts.\nProfessional appearance and demeanor.\nWork varied shifts, including weekends and holidays.\nHigh school diploma or equivalent.\nAble to effectively communicate in English, in both written and oral forms. \nPreferred:Master’s Degree in Computer Science, MIS, Marketing Research, Business Administrations (MBA), Statistics, Industrial Engineering, Statistics or related field.\nAt least 3 years of experience in data analytics environment.\nPrevious experience managing analytics projects.\nPrevious experience working in a similar resort.\n#LI-DR1
## 103 We are currently seeking a motivated, career and customer-oriented Data Scientist to join our team in Northern Virginia and begin an exciting and challenging career with Unisys Federal Systems. The ideal candidate is an individual with broad understanding of the Department of Homeland Security (DHS) based on experience gained from supporting several components. Applicants should have the functional knowledge and ability to support our client's data challenges by providing data solution architecture, data engineering, data science, and data analysis support that analyzes, synthesizes, and integrates large quantities of structured and unstructured data that will be used to enhance the tools and features of the client information technology applications.Working with our DHS clients, you will use your knowledge of DHS's data collection and management capabilities, end-to-end data and work flows, and data warehouses and lakes to enhance mission performance and improve Departmental and Component efficiency. You will implement data analysis using machine learning, predictive analytics, data mining, pattern recognition, data modeling, and statistical methods to solve large scale optimization problems and identify meaning derived from large data sets. You will perform data analytics at on-premise data centers and in cloud environments, including AWS and Azure. You will develop architectures and approaches for addressing information siloes and systems of records that do not facilitate data sharing and reuse. You will apply your expertise on multiple complex work assignments which are broad in nature, requiring originality and innovation in determining how to accomplish tasks. You will apply your comprehensive knowledge across key tasks and high impact assignments, evaluate performance results and recommend changes as necessary to achieve project success. Your primary responsibility will be working with teams designing, testing and building applications to meet DHS customer requirements and goals, which may include using Big Data Analytics and a Continuous Integration/Continuous Delivery (CI/CD) approach to optimize data flows and provide meaningful and actionable information. You will support our customers and enhance the experience of their clients and users by designing, developing, and deploying tools for public users of many types. Potential tasks include expanding existing client models to present relevant information to users including: developing and deploying personalized processing models; adding integration points for the intelligent automated help agents to connect with external applications or data sources to increase its effectiveness and accuracy; creating and implementing scrubbing strategies to ensure unstructured data is appropriate to present to the end user; analyzing customer data and biometrics to identify key data points for confirming a customer's identity; and analyzing, validating, and creating process to transition from a transaction based model to a customer centric model. You will also prepare technical papers and playbooks, responses to acqusitions, and conduct white board sessions within Unisys and with customers.\n\nRequirements\n\nMust have experience working for or supporting the Department of Homeland Security and its components. You must be familiar with Agile methodology and be able to work collaboratively in a team environment. Excellent written and oral communications skills are essential. Other requirements include: •Expert in enterprise data tranformation including data warehouse and data lake rationalization.•Proven expertise in using combinations of supervised and unsupervised machine learning algorithms, predictive models, and statistical algorithms to provide insights into client datasets.•Must be familiar with current link analysis and risk analysis tools.•Deep knowledge of Data Science including Google Analytics and metrics, statistical analysis, machine learning and natural language processing, and data science, analytics, modeling and integration.•Experience planning, organizing, facilitating, and collecting data from focus group and research/usability testing sessions. •Data segmentation and data flow modeling. •Knowledge of and experience working with Hadoop and Cloudera.•Executing descriptive analyses, ranging from identifying product opportunities to understanding user behavior•Experience/expertise with Natural Language Processing (NLP), graph theory, Scala, and machine learning.•Demonstrated ability building innovative data products (e.g., Artificial Intelligence, real-time services, such as personalization and commerce graphing using Big Data platforms with real-time data ingestion and processing).•Establishing big data reporting and enterprise analytics platforms to analyze increasingly larger and more complex data sets. •Skills at Identifying and correcting data quality issues and establishing a data governance framework to enforce data standards and improve accuracy using integrated internal and external disparate data sources.Familiarity and experience with the following is highly desirable: • Developing machine-learning algorithms to improve predictions.• Develop highly optimized, scalable automatic case matching logic on microservice/container technology.U.S. CITIZENSHIP REQUIREDMaster’s Degree in Computer Science, Computational Mathematics, Statistics, Engineering or related field degree or higher and a minimum of 15 years of related experience. Applicable advance certifications and education and specific skills can be substituted for Master's degree or years of experience. Current DHS Clearance is a bonus.Local candidates only. Work location: Northern Virginia\n\nAbout Unisys\n\nDo you have what it takes to be mission critical? Your skills and experience could be mission critical for our Unisys team supporting the Federal Government in their mission to protect and defend our nation, and transform the way government agencies manage information and improve responsiveness to their customers. As a member of our diverse team, you’ll gain valuable career-enhancing experience as we support the design, development, testing, implementation, training, and maintenance of our federal government’s critical systems. Apply today to become mission critical and help our nation meet the growing need for IT security, improved infrastructure, big data, and advanced analytics.Unisys is a global information technology company that solves complex IT challenges at the intersection of modern and mission critical. We work with many of the world's largest companies and government organizations to secure and keep their mission-critical operations running at peak performance; streamline and transform their data centers; enhance support to their end users and constituents; and modernize their enterprise applications. We do this while protecting and building on their legacy IT investments. Our offerings include outsourcing and managed services, systems integration and consulting services, high-end server technology, cybersecurity and cloud management software, and maintenance and support services. Unisys has more than 23,000 employees serving clients around the world. Unisys offers a very competitive benefits package including health insurance coverage from first day of employment, a 401k with an immediately vested company match, vacation and educational benefits. To learn more about Unisys visit us at www.Unisys.com.Unisys is an Equal Opportunity Employer (EOE) - Minorities, Females, Disabled Persons, and Veterans.#FED#
## 104 THIS IS A PERMANENT POSITION - ONLY UCS & GC APPLY! Our client is currently seeking a Data Scientist III who will be responsible for advanced and predictive data analytics using big data and data science technology for healthcare innovation and outcomes. Perform analysis using data science techniques on structured and unstructured data sets, and develop algorithms for targeted business needs.This job will have the following responsibilities: Design and develop data models to predict member outcomes or future impact of key member decisions. \nDesign and construct analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs. \nConduct exploratory data analysis from complex data sources and build key data sets to support the client's mission. \nEvaluate and design experiments to monitor key metrics and identify improvement opportunities. \nDevelop mathematical and statistical models to distinguish relevant content or events and recognize patterns. \nParticipate in presentations and communicate results of research analysis and findings. \nParticipate in the design of automated, operational analytics processes to achieve scale and durability of analysis processes. \nValidate and measure the outcomes of health management programs using SAS, R and other tools, to include provider data, claims data, membership data \nManage multiple projects as assigned and assist with training Data Analysts. \nResponsible for development efforts with technical team liaisons, including gathering business requirements, documentation, testing, delivery and user adoption, and communicate expectations to the Health Plan. Qualifications & Requirements: Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 5+ years of experience or Bachelor’s degree and 7+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis. Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL. \n
## 105 Arconic Fastening Systems is looking for an Applied Mathematician – Data Scientist for our New Product Development Team. This is a unique opportunity to join a multidisciplinary team of creative and passionate individuals changing the face of Aerospace Manufacturing. We are driven by the company’s business strategy and work on high-impact projects in 8 countries across 4 continents utilizing multiscale process engineering, data analytics and machine learning to improve product design and manufacturing processes. The NPD team is a lean, flat team combining analytic methods, material science, product knowledge and experimental science and engineering to identify and inject high-value insights into manufacturing processes at their point of highest impact. The team works in quick iterations, using the combination of physical science-based techniques and algorithms best suited for solving challenging problems. This position is located at our aerospace plant in Carson, CA. Arconic Fastening Systems (AFS) holds the number one global position in aerospace fastening systems, and we’re the North American leader in commercial transportation fasteners. Our high-tech, multi-material fastening systems are found nose to tail on aircraft and aero engines. Our products are also critical components of industrial gas turbines, automobiles, commercial transportation vehicles, and construction and industrial equipment. Headquartered in Torrance, CA; we employ over 6,000 people in 11 countries at 31 locations. AFS is a business unit of Arconic (NYSE:ARNC). Join Arconic and join a network of people who are passionate about industry-changing technology that advances the world. You’ll have the opportunity to work with leading global companies that operate in world-changing industries—such as aerospace, automotive, building and construction, defense and commercial transportation. It’s not just a job. It’s a career and a path to the future. You’ll be part of a diverse culture of learning, teaching and mentorship. Arconic is fully committed to developing people: providing employees with the resources, and learning and development opportunities they need to excel and build a career. Key Responsibilities:Advocate, evangelize and build data-driven design and manufacturing processes that drive efficiency.\nDevelop a process design space exploration framework which enables design parameter sensitivities used to inform initial design of electromagnetic induction heating processes, large scale deformation and structural mechanics.\nResearch, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.\nProvide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables.\nConstruction of isogeometric sensitivity analysis and surrogate models to enable rapid design space exploration.\nDevelop numerical techniques to optimize steady and non-steady forming processes utilizing inverse problem formulation together with evolutionary search schemes.\nApplication of isogeometric analysis to model the elastic deformation and electromagnetic heating of multi-phase metallic materials.\nBecome an expert on our datasets while working with cross-functional team members to identify and prioritize acquisition of new, actionable, high-impact data across a variety of core business and manufacturing processes. \n Skills:Clear communicator with strong ability to communicate insights in a clear, concise, and valid, data-driven way, so that others in the company can effectively act on those insights.\nStrong desire for a fast paced, data-driven, collaborative and iterative engineering environment. Strong love of learning, especially complementary physical sciences including Mechanics, Physics and Material Science.\nExcel at making complex concepts simple and easy to understand by those around you.\nPassionate about asking and answering questions in large datasets, and able to communicate that passion to product managers, Manufacturing managers and engineers.\nKeen desire to solve business problems, and live to find patterns and insights within structured and unstructured data.\nQualificationsBasic Qualifications :Master’s Degree from an accredited Institution\nMinimum 3 years of experience with data analytics.\nEmployees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.\nThis position is subject to the International Traffic in Arms Regulations (ITAR) which requires U.S. person status. ITAR defines U.S. person as an U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee.\n Preferred Qualifications :MS or PhD, from an accredited institution, in Applied Mathematics, Operations Research, Industrial Engineering with Mathematics focus, Machine Learning, or Physics, or similar quantitative discipline\n3 years of experience delivering computation approach to outcomes solving complex analytical problems using quantitative approaches with your unique blend of analytical, mathematical and engineering skills.\nExperience in Manufacturing\nUnderstanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.\nAccomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS.\nExperience with BI tools such as Tableau or MicroStrategy.\nComfortable with relational databases and Hadoop-based data mining open-sources frameworks.\nFamiliar with SQL, Python, Java and C/C .\nExperience with isogeometric analysis\nExperience with optimization of process design\n
## 106 The Dynamic Experiences team is changing the way we build and manage customer-facing software by introducing and evangelizing new client technologies across the Experience Development and Product organizations. The team is focused on increasing the dynamic nature of our clients by building a foundation of tools that enable personalized and content-driven experiences, audience segmentation and A/B/Multivariate testing. Our core product is the AB testing platform which will be leveraged to conduct experiments across our customer-facing portfolio of websites, apps and set top box environments. We will operate with zero latency, using the best available technologies and statistical techniques for the deepest insights. In this role, we are looking for a hard-working, entrepreneurial, scientifically and mathematically-minded engineer to implement the desired features of the AB testing platform.Actively and consistently support all efforts to simplify and enhance the consumer experience Design, implement, and deliver complex products for users Actively and independently acquire knowledge of new development technologies in areas such as machine learning, controlled experimentation, cloud statistical platforms (e.g. Amazon machine learning, IBM Watson, Google ML), sandbox type analytical systems (e.g, Matlab, SAS, Mathematica) and any other system the candidate believes can contribute to our objectives Develop, modify, enhance and implement software systems designed to support new or existing business initiatives Influence system design by identifying and recommending design and requirements needs for software enhancements Test software to ensure proper and efficient execution and adherence to business and technical requirements Write code that meets the production requirements and design specifications while anticipating potential errors/issues Ensure code is documented and covered by regression and unit tests Ensure alignment between the business operational strategies and technical solutions Design, implement, monitor, enhance and troubleshoot systems Analyze and revise existing system logic difficulties and documentation Test and review system designs\n\nJob Requirements\n\n1+ years of Python 1+ years using Hive, Spark 2+ years of Node.js 2+ years using MongoDB or similar Document Database Considered an expert JavaScript developer using ES2015/ES6 or newer Strong with unit testing libraries like Jest and Enzyme Comfortable configuring WebPack and Babel Strong with git based source control Ability to read, write, speak and understand English Strong foundation in data structures, algorithms, and a variety of software development paradigms Strong understanding of microservice architecture, zero latency strategies, RESTful APIs, etc Strong understanding of statistical techniques including automation of statistical processes, etc Strong knowledge of Agile development methodologies Ability to deliver against several initiatives simultaneously Ability to prioritize and organize effectively Excellent written and verbal communication skills Excellent analytical and troubleshooting abilities Thorough understanding of software engineering Understanding and ability to manage multifaceted new media platform systems Ability to manage complex and diverse projects\nIndustry Experience 1+ years Azkaban a plus Experience with Docker and CI/CD pipelines a plus Experience with the Apollo Provider/GraphQL is a plus
## 107 Company: This Telecom Consulting firm is looking for an exceptional data scientist to join their team of full time consultants. Working with various global clients, aiding businesses with the tools to ensure that both innovation and interconnectivity remain within reach for all industries and business sectors.\n \nThis company appreciates their employees\nIn addition to creating a great work-life balance, this company has a superior benefits package which includes:\n· Paid Time Off & Flexible Leave Options.\n· Excellent Health & Dental Insurance Packages, as well as Life & Travel.\n· Excellent Retirement Plan.\n· Great work/life balance with excellent campus amenities.\n \nThe Role You Will Play\nWe are looking for an outstanding Data Scientist who can help change the game for their Telecom clients. In addition to solving high visibility, complex problems, you will be helping to be the telecom solutions of the future. \n· You are experienced with developing and implementing support applications using Hadoop Life Cycle platforms (HortonWorks, Cloudera, MapR, etc.)\n· You are a strong user of statistical analysis, machine learning, and visualization with a background in telecommunications.\n· You have a strong interest new and interesting challenges. \n· You have demonstrated experience producing functional designs for customers. \n· You are able to contribute to all stages of analytical development and deployment.\n· You are a gifted communicator who leads well at all levels of the organization.\n\nJob Requirements\n\nBackground Profile: \n\nBS/MS in Data Science, Statistics, Engineering, Computer Science, Mathematics or analytics related field is required. \n8-12 years of experience with Business Intelligence & Data Warehousing. 3+ years of hands on experience with Big Data technologies (Apache Hadoop, MapR, Cloudera, HDP.)\nExpert in modelling and programming (Python, R, etc.) as well as creating and implementing BI applications.\nKnowledge with Hive, NoSQL, Kafka Spark, Solr, etc. are all a plus.\nExcellent communication (written and verbal) skills. \nCloud background a big plus.\nExcellent problem solver with a proven ability to creating or adapting data science models for challenging issues.
## 108 Why Asurion?\nAsurion is seeking for Data Scientists to join our Data Science team. Individuals in this role identifies and address complex business problems. Designs and drives the creation of new data products and analytical capabilities embedded in multiple business applications. Gathers and analyzes large volumes of data, evaluates scenarios to make predictions on future outcomes and supports decision making. Comfortable in using advanced statistical data modeling techniques and tools.\n \nRole and Responsibilities: \n Asurion is seeking for Data Scientists to join our Data Science team. Individuals in this role identifies and address complex business problems. Designs and drives the creation of new data products and analytical capabilities embedded in multiple business applications. Gathers and analyzes large volumes of data, evaluates scenarios to make predictions on future outcomes and supports decision making. Comfortable in using advanced statistical data modeling techniques and tools. \n\nUses business acumen to solution strategy and roadmap problems and make best practice recommendations.\n\n\nResponsible for using analytic techniques like advanced data visualizations, machine learning, Natural Language Processing and large scale optimization to improve Asurion’s wireless and retail customers’ experiences. \n\n\nWork closely with product managers to identify and answer important product questions that help improve outcomes\n\n\nInterpret problems and provide solutions using appropriate data modeling techniques\n\n\nDevelop prototypes for new data product ideas\n\n\nDesign large scale models using Logistic Regression, Decision Trees, Conjoint Analysis, Spatial models, Time-series models , and Machine Learning algorithms\n\n\nUtilize Natural Language Processing to analyze speech and social data\n\n\nCommunicate findings to product managers and development groups\n\n\nDrive the collection of new data and the refinement of existing data\n\n\nAnalyze and interpret the results of product experiments\n\n\nRegularly invents new and novel approaches to problems; Takes initiative and breaks down barriers to solve problems; recognized within team as the source of solutions.\n\n\nComfortable manipulating and analyzing complex, high-volume, high dimensionality data from multiple sources\n\n\nA strong passion for empirical research and for answering hard questions with data\n\n\nAbility to communicate complex quantitative analysis in a clear, precise, and actionable manner \n\n \nHere’s what you’ll bring to the team: \n\nMaster's or PhD preferably in an engineering, statistics, technology or science role.\n\n\nAnalytics - Familiarity with common advanced analysis tools - SQL, Python, R, SAS are preferred.\n\n\nDemonstrate familiarity (work experience, Github account) with OOP concepts. Python, Java, Scala skills is a big plus.\n\n\nMachine Learning, Deep Learning, NLP experience and also working in Hadoop and/or Spark environment.\n\n\nAbility to ask and tackle the most important analytical questions with a view on driving product impact.\n\n\nDriven and focused self-starters, great communicators, amazing follow-through- you aggressive tackle your work and love the responsibility of being individually empowered\n\nAbout Asurion:\n \nSimply put, Asurion helps people stay connected. As the global leader of connected life services, we provide over 290 million consumers around the world with simple, intuitive technology advice to help them get the most from their devices; support to fix their issues and connectivity crisis, and device protection to ensure they receive a replacement or repair. When a product is missing or simply doesn't work properly, Asurion’s 17,000 employees are focused on solving the problem with people and processes operating 24 hours a day, seven days a week, speaking six languages, and working across any device, platform, or provider. By partnering with leading retailers, mobile carriers and pay-tv providers, Asurion helps customers enhance their lives through their technology. For more information about Asurion, please visit www.asurion.com\n
## 109 Join us on our exciting journey!IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.The Analytics Center of ExcellenceOur new Analytics Center of Excellence (ACOE) harnesses our global healthcare insights, working closely with our clinical and therapeutic experts to power evidence-driven design, speed site activation and recruit the right patients, faster. This is a new unit within our business, integrated within Clinical Operations. We’re using big data and advanced analytics to derive insights that transform clinical development and bring new medicines to patients faster through successful trial delivery.This multi-functional team is an innovation for our business, requiring entrepreneurial and independent thinking to build our capability. Unique and with a global view, this Center of Excellence is a chance to revolutionize the clinical research industry.Data Science Engineer – the roleAs an expert software developer, this is a unique opportunity to leverage your skills to empower advanced analytics and to build unparalleled in-depth knowledge within our business. Working with modern distributed analytics systems, complex data, and challenging requests, you will help shape the way our team approaches prototyping and development of data-driven analytics products. This crucial role involves identifying opportunities for better data modelling, abstraction, testing, internal tooling, and other software development practices that will help our team maximize our efficiency in data science projects. You will have the opportunity to provide technical leadership and mentorship to the team, and to set the standards for code quality and architecture for the projects you work on. You will also serve as a key liaison for our team with production developers.Your typical activities might include:Collaborating with data scientists to turn working prototypes into well-abstracted, reusable modules for iterative development of data science projects.\nProviding technical leadership and assisting the team on execution of technical tasks centered on delivery of analytics models.\nIdentifying opportunities for improvements to internal processes regarding model development, including internal data pipelines and modelling frameworks that will facilitate advanced analytics.\nBeing involved in every stage of the data product development life cycle; from coordinating initial requirements with business owners, through development with subject matter experts and data scientists, to production deployments with developers.\nOverseeing multiple projects from concept to completion. \nComprehensive testing of your own code.\nProduction deployments of advanced analytics.\nQualification:Our ideal candidate will have:A Bachelors or Masters degree in STEM field such as Computer Science, Engineering, Statistics, Mathematics.\n5+ years of object oriented programming experience in a high level language like Python, java, scala\n3+ years of relevant collaborative software development experience.\nExtensive experience with dynamic scripting languages such as Python and R.\nExtensive experience work in Hadoop eco system like YARN, Hive, Impala, Map Reduce,\nExperience working with large volumes of complex data, preferably in distributed frameworks such as Spark, SparkR and PySpark.\nStrong familiarity with data science concepts and modeling techniques.\nExperience implementing design patterns and implementing testing frameworks\nStrong SQL or Hive skills.\nLocal language skills to an advanced level (spoken and written), with complete fluency in English.\nIQVIA is an EEO Employer - Minorities/Females/Protected Veterans/DisabledWe know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes.Whatever your career goals, we are here to ensure you get there!We invite you to join IQVIA™.#LI-TF1#GLDJob ID: R1045938
## 110 The Senior Data Scientist mines and analyzes complex data sets using advanced statistical methods for use in data driven decision making. The Senior Data Scientist leads in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. This position is responsible for summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives. JOB DUTIESPerforms research, analysis, and modeling on organizational data\nAssists in analyzing key metrics and performing data analysis\nBuilds technical knowledge to support research and analytic responsibilities\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\nDevelops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions\nProvides findings and analysis for use in decision making\nEnsures that the delivered products meet the business needs of the company\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\nKnowledgeAbility to identify and understand business issues and map these issues into quantitative questions\nEfficiently work with large datasets\nAbility to design and implement model documentation and monitoring protocols\nComprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques\nSkillsMS Office required\nPython, R, and SAS programming required\nStrong written and verbal presentation skills with an ability to communicate effectively with Senior Management\nAbility to identify and seek needed information/research skills\nAnalytical thinking skills\nAbility to interact collaboratively with internal and external customers\nCapable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure\nProblem/situation analysis\nProvides leadership, coaching, and/or mentoring to Data Scientists I and II\nEducationMaster's Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field requiredExperience6+ yrs as a Data Scientist or similar quantitative field requiredWork ConditionsNormal office environmen
## 111 Employee Perks Why You Will Love Being Part of the Navy Federal Team:*Competitive compensation with opportunities for annual raises, promotions, and bonus potential*Best-in-Class Benefits! (7% 401k match / Pension plan / Tuition reimbursement / Great insurance options)*On-site amenities include fitness center, wellness center, cafeteria, etc. at Pensacola, FL; Vienna, VA and Winchester, VA campuses*Consistently Awarded Top Workplace*Nationally recognized training department by TRAINING Magazine IND123*An employee-focused, diverse, and service-oriented workplace environmentBasic Purpose To lead the development and marketing execution of large scope data science, quantitative research analytics, and advanced statistical marketing analytics insights & algorithms for assigned internal business units to enable better understanding of customer needs, behaviors, and engagement. Serve as lead Predictive Modeler working either independently or leading projects. Mentor junior predictive modelers with advanced analytics and thought guidance in the development of models and collaborative insights with stakeholders. Formulate strategies around customer targeting, product & service acquisition, and retention for more effective marketing. Provide input & insight to mid and executive-level management across the company with answers to business questions and information to assist with data-driven & customer-centric decision making.Responsibilities• Collaborate with internal business partners across divisions to integrate analytical tools and solutions into direct marketing, lead generation campaigns/initiatives, and agent/customer systems• Develop and refine customer behavioral algorithms to help focus corporate and divisional activities supporting corporate growth, retention, customer experience and long term profitability• Develop and test multiple hypotheses using results from analyses to generate and answer new questions leading to more in-depth understanding of customer behavior being studied• Evaluate/develop/implement analytical techniques and best practices to gain a competitive advantage• Forecast initiatives to project strategic plan goals and assess current performance• Identify potential issues that arise during the course of research projects and escalate and communicate these to management and internal clients for awareness/action/resolution • Recommend & collaborate with cross functional marketing team to develop customer-centric integrated marketing campaigns based on data insights• Identify, recommend and manage external suppliers/vendors assisting on analytical research projects, ensure projects meet departmental quality standards, research objectives, and delivered on time • Lead ad hoc analysis of corporate-wide business problems of various scope and complexity• Lead development of machine learning projects using varied advanced analytical techniques for estimating current and future customer engagement, prospecting new customers, cross-selling to existing customers (response models), and identifying customers likely to leave• Make presentations of status and results of analysis to non-technical audience of various levels• Manage multiple research projects under tight deadlines; ensure research projects are completed on time and meet internal client expectations• Monitor performance of algorithms; recommend/implement changes to improve performance• Perform full cycle model design, development, documentation and deployment which includes but is not limited to identifying objectives, sampling, testing/validation, calibration, and monitoring performance• Pro-actively work with internal clients and other business areas to create project plans with clear objectives, detailed tasks, accountabilities, time lines, and estimated budgets/corporate impact• Produce actionable insights from research projects that are effectively communicated• Perform other duties as assignedQualifications• Master's Degree in Statistics, Mathematics, Decision Science, Economics, Engineering or relevant quantitative field• 3-5 years of relevant data science experience or the equivalent combination of training, education, and experience• Experience in an informal mentoring, and/or leadership role• Experience working in a consultative capacity to champion and develop advanced analytics for marketing & advertising optimization (DSPs targeting, Response Modeling, Media Mix, Attribution, Key Driver Analysis etc.)• Experience with leveraging marketing & advertising technologies for personalization• Experience with building algorithms on a distributed system (i.e. Hadoop) using near-real time and streaming data• Experience in advanced quantitative modeling for market research• Significant experience in managing multiple fast-moving priorities independently and/or in a cross-functional team environment to achieve goals • Significant experience in statistical software and/or analytic programming languages to manage large data sets• Significant work experience in using a majority of the following statistical methods to solve business problems: linear and logistic regression, neural networks, decision trees, experimental design, time-series and forecasting, clustering, association rules, RFM, and/or survival analysis• Proven track record of algorithm implementation for Marketing personalization and optimization• Advanced skill building effective relationships through rapport, trust, diplomacy and tact• Advanced skill interpreting, extrapolating and interpolating data for statistical research and modeling• Advanced skill to influence, negotiate and persuade to reach agreeable exchange and positive outcomes• Advanced skill using innovative thinking to solve problems and facilitate the decision-making process• Desired - Advanced knowledge of Navy Federal products, services, programs, policies and procedures• Desired - Advanced knowledge of data analytics for financial service regulatory complianceHours:Monday-Friday, 8:00AM-4:30PMEqual Employment Opportunity Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability
## 112 Overview\nBased in Utah, Idaho, and Arizona, Progrexion leads the credit repair industry with groundbreaking technologies and services that help consumers access and understand information contained in their credit reports, verify whether that information is fair, accurate and substantiated, and correct inaccuracies with individual creditors, other data furnishers and the national credit bureaus. Progrexion technology and services are used by Lexington Law, an independently-operated law firm, and CreditRepair.com, its wholly-owned subsidiary.\n\nResponsibilities\n\nThe ideal candidate is a business leader and strategist with a proven ability to solve complex business problems and drive increased revenue and customer loyalty using expertise in statistics, data acquisition and analytics. He or she will prioritize and lead cross-functional analytics projects with creativity and attention to detail. This leader will partner with other executives to evangelize and implement key data discoveries to improve our business. He or she will have strong academic credentials in mathematics or statistics, a passion for using data to solve business problems, and a proven track record in delivering business results using data science.\n\nQualifications\n\n• Proven track record in using data management, modeling, analytics, and statistics to solve complex business problems and drive revenue and client loyalty.• Advanced degree in a quantitative area (economics, statistics, mathematics) or MBA combined with a strong quantitative background.• 5+ years performing data analysis, with at least one year experience with a top tier business management consultancy or large, publicly traded corporation (2000+ employees).• Influencer – excellent communicator, with ability to enroll and engage business partners and executives.• Collaborator – work with other analytics teams and information technology to find opportunities to share research, leverage new data sources, expand analytics techniques and build data infrastructure.• Experience with data environments like Hadoop, AWS, Azure.• Experience with modeling/analytics tools/language like SAS, R, Knime.• Proficient using SQL to obtain data for analysis.• May be required to manage one or more data scientists and assist in their training and development.#CB
## 113 U.S. Bank is seeking a proficient Data Scientist who will be responsible for working on big data/analytics projects that gather and integrate large volumes of data, performs analysis, interprets results and develops actionable insights and recommendations for use across the company. Additional Responsibilities:Identifies, analyzes and interprets trends or patterns in complex data in order to provide answers to business questions as well as provide recommendations for action. \nInterprets data and analyze results using various statistical techniques and tools. \nPresents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they activate upon them and make data driven decisions. \nCollaborate with various partners to provide a holistic view of the analysis. \nMeasures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.\nBasic Qualifications - Bachelor's degree, or equivalent work experience - 5 years of statistical analytics experience Preferred Skills/Experience - Experience with R stats, SQL and Greenplum- Understanding of Python and tools that work with Hadoop and R stats such as Hive, PIG, Matlab - Familiarity with PHP - Experience in SQL/SAS for querying data and for data manipulation/transformation - Experience in analytics, advanced analytics/statistics, predictive modeling - Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
## 114 As part of the application process, a candidate account is required to log in and view application(s). Please be sure to check email regularly for information regarding our employment process.Profile Summary:Voya Financial in Windsor, CT has an opportunity for a Data Scientist working in the Analytics Center of Excellence. The Data Scientist will be responsible for supporting and expanding the use of our new Analytics Hybrid Architecture. includes both is made up of big data technologies in the CoE.Profile Description:Working with the Analytics CoE's Operations Data Team to integrate data sources including big data, traditional in-house databases, 3rd-party data, and public data, into the Analytic’s new hybrid architecture. \nSupporting the Analytic’s automated batch processes running on a combination of Cloudera Data Science Workbench (CDSW) and IBM SPSS Modeler in a Linux environment. Some on-call responsibilities will be required.\nEstablishing best practices around the use of CDSW and the Big Data platform, and performing code reviews and assisting with code migrations to that platform.\nUtilize BigData experience to assist with performance tuning of code, and tuning of predictive models as needed.\nKnowledge and Experience:Advanced degree or equivalent work experience in a quantitative discipline such as statistics, computer science, actuarial, applied mathematics, or engineering\nExpertise in SQL query development\nBig Data expertise in Hadoop, including: Hue, HDFS, Hive, Python, Spark, GitHub, and data visualization\n2+ years of Experience with Cloudera Data Science Workbench (CDSW) \nShare and Document Best Practices for CDSW including project collaboration, production code migrations, and automation\nKnowledge of, or a desire to learn, IBM SPSS Modeler\nSome on-call support may be required. (Most of which is during normal working hours.) \n#CB#LI-NA1Critical SkillsAt Voya, we have identified the following critical skills which are key to success in our culture: Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.\nCritical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.\nTeam Mentality: Partnering effectively to drive our culture and execute on our common goals. \nBusiness Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions. \nLearning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.\nLearn more about Critical Skills.
## 115 Job DescriptionWe are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products and services on our platform. Your primary focus will be in applying data mining techniques, doing statistical analysis. You will also be responsible for the data structuring cross the different tools and teams. While growing the team and developing the project other work tasks will be applicable. Being located in one of the world's most innovative areas we see a part of your role will be to scout new technologies to the rest of the Danfoss Power Solutions software community. Responsibilities• Selecting features, building and optimizing classifiers using machine learning techniques• Data mining using state-of-the-art methods• Enhancing data collection procedures to include information that is relevant for building analytic systems• Processing, cleansing, and verifying the integrity of data used for analysis• Doing ad-hoc analysis and presenting results in a clear manner• Creating automated anomaly detection systems and constant tracking of its performanceCapabilities/Mindset• Entrepreneurial spirit• Can do attitude and self-motivated• Can work in team and on his/her own• Good connections within and outside DanfossKnowledge/Tools•Taking part in a Kaggle competition•Practical experience in applying data science•Good knowledge of Python programming language•Knowledge of machine learning and data processing libraries in Python (sklearn, pandas, numpy)•Preferred experience:•Study of statistical theory, methods and tools and understanding how to use them (e.g. CLT, Bootstrapping, Cross-validation•Knowledge of SQL•2 years of data science experience at work•Optional:•Big data tools (Apache Spark, Hadoop,...)•Experience in training neural networks and working with neural network libraries (tensorflow, keras)•Knowledge of time series analysis theory and practice
## 116 Over twenty years ago, CarMax disrupted the automotive industry and to this day remains the undisputed market leader in a $500B+ industry. With best-in-class financial performance, customer satisfaction, and associate engagement, CarMax is well positioned for continued growth. With this growth, we strive to maintain our analytics-based competitive advantage through our algorithm driven pricing and inventory systems. To do so, we’re currently looking for experienced data engineers who are looking to apply their passion for data and technology to drive business-critical decisions.The primary responsibility for the pricing and inventory systems team is to accurately value the unique characteristics of each individual car that we buy or sell, and also allocate those vehicles across our 150+ stores. Last year alone, CarMax sold more than 1 million vehicles, appraised over 2 million vehicles, and had $100m in weekly auto auction spend - all while dealing with constantly changing consumer demand, wholesale auction supply, and other market conditions that are often regionally differentiated.In order to realize the full value of our models, our systems experts must accurately and instantaneously deliver thousands of recommendations to our field associates daily. This requires the combination of a deep understanding of the models, the technical skill to deploy new models as robust and stable systems, and the results focus and analytical ability to quickly diagnose and fix problems as they arise.WHAT WILL YOU DO IN THIS ROLE?As a technical expert of our models, a successful Senior Analyst candidate will:1. Develop and improve models by:• 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• 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.)• Designing controlled experiments to assess the business value of new models• Presenting insights and recommendations to Senior Management to drive change2. Help CarMax continue to develop its data expertise by:• Researching innovations and best practices related to data sources and modeling methodologies• Influencing the team in the development of our modeling capability strategic roadmap3. Communicate how our models work to team members, both at a general level and a detailed level\n\n\nJob Requirements\n\nWHAT TYPE OF PERSON ARE WE LOOKING FOR?To be successful for this role, we are looking for someone that can consistently deliver at a high level on the responsibilities listed above. A few of the competencies that will position you for success are: 1. Strong modeling skills and a desire to continue to grow those skills• Passion for using analytics in problem solving2. Ability to influence the team’s results• Experience managing your own projects and delivering timely results• Record of building and maintaining strong working relationships• Ability to explain standard or novel modeling methods3. Desire to develop into a strong technical leader and/or people managerWHAT ARE THE QUALIFICATIONS FOR THIS ROLE?1. Education• Undergraduate degree in a quantitative discipline (graduate degree in statistics, data science, or related field is a plus)2. Data Science Experience• 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)WHAT ARE SOME OF THE BENEFITS OF WORKING IN THIS ROLE?1. Ability to make a large impact on a Fortune 500 company• Play key role in driving company’s strategy• Despite being undisputed market leader, CarMax only has a 4% market share of the late-model used car market, allowing room for exponential growth2. Large focus on professional development• Your development is as important as your work in our group• Our leaders are heavily invested in helping all analysts hone their technical, communication, leadership, and other skills3. Great work environment• CarMax was voted a Fortune 100 best company to work for 12 years in a row• Good work/life balance; we work hard, but enjoy very reasonable hours• 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• In addition to comprehensive benefits, we have perks like flexible vacation and an on-campus fitness center
## 117 Job Title: Data Scientist/Data Mining - Broomfield, CO Job Description: Data Scientist/Data Mining - Broomfield CO 12 + Month Contract - W2 Hourly Data scientists to use data and analytical ability to find and interpret rich data sources; manage large amounts of data despite hardware, software, and bandwidth constraints; merge data sources; ensure consistency of data sets; create visualizations to aid in understanding data; build mathematical models using the data; and present and communicate the data insights/findings. Technical Requirements: -Must have strong R or Python experience; Minimum of 2-3 years' experience -Strong numerate degree required -Experience with relational and non-relational databases. Experience with 10g/11g Oracle databases is especially useful. -Strong experience with tools for managing, analyzing, and visualizing large datasets. -Programming experience with two or more of R, Python, Lisp, Clojure, Scala, Java, Perl, Mathematica and C++. Additional Details: Job ID: 333650Dept ID: 10600Location: Broomfield, CO United States of AmericaIndustry: Online / Full AppJob Type: Temp PositionFolder Group ID 258 Posted Date:8/1/2018 Domain:arna Contact: [Click Here to Email Your Resumé]
## 118 Overview\nMedical Science & Computing (MSC) is an exciting growth oriented company, dedicated to providing mission critical scientific and technical services to the Federal Government. We have a distinguished history of supporting the National Institutes of Health (NIH) and other government agencies. MSC offers a dynamic and upbeat work environment, excellent benefits and career growth opportunities.We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, Medical and Flexible Spending Accounts, Pre-Tax Transit Assistance and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!\n\nDuties & Responsibilities\n\nWe are currently searching for a Biostatistician to provide support to the National Institutes of Health (NIH). The Lister Hill National Center for Biomedical Communications (LHC) which is part of the National Institutes of Health (NIH), requires the services of a biostatistician with experience in analyzing large, de-identified, medical record and clinical databases in who will be responsible for supporting the development of statistical methods for research projects. The ideal applicant will collaborate with LHC scientists (including physicians, engineers and computer scientists) in the design of formal studies and will participate in development of statistical methods to find important predictors of outcomes in large claim-based clinical database using various regression and survival models.This opportunity is a permanent, full-time position with MSC and it is on-site in Bethesda, Maryland.Key ResponsibilitiesManipulating CMS Medicare claims data using SAS. The task involves merging and consolidating different claim-level files and creating patient-level summary data. Analyzing patient-level study data to find important predictors for outcomes of interest. Experience in implementing propensity score approaches (matching, stratification and weighting) and in time to event data analysis is desirable to demonstrate experience in analyzing observational data. Required Skills and ExperienceM.S. degree in statistics or biostatistics with strong academic training in methodology.\nDemonstrable expertise with implementing electronic health records, especially CMS Medicare claims data.\n Familiar with statistical models such as generalized linear models, survival analyses (Cox proportional hazard regression, Accelerated Failure time model, Fine-Gray sub-distribution hazard regression etc.), and Mixed model. High degree of programming proficiency in SAS/R/Stata\n\nExpertise in SAS. Example: SAS/SQL, SAS/STAT such as PHREG, LIFEREG, GENMOD, GLIMMIX etc.\nExperience in R programming language and Stata plus.\nGood working knowledge of SAS and time efficient programing is a plus.\nGood understanding in Medicare/Medicaid\nExperience with analysis of clinical and medical record data\n\nRequirements\n\nWrite clean, consistent and well-documented code\nExcellent oral, and written communication skills, and ability to document projects and provide status reports.\nExcellent team and interpersonal skills. Ability to both take direction and work in a self-directed environment, effectively interact with all levels of staff and external contacts, and ability to work as an effective team member.\nExcellent organization and time management skills, and flexibility to handle a variety of tasks, and shift priorities as needed. \nMedical Science & Computing is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.
## 119 Responsibilities include the design and development of predictive models using machine learning techniques. Work with key stakeholders to define business questions, success criteria, and model deployment plans. Conducts exploratory data analysis and prepares visualizations summarizing key features of the data. Develops program plans and road maps for Data Science.\n\nJob Requirements\n\nQualified Candidates will have:\nBS Degree or equivalent experience required\n5+ years of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Boosting, Ensembling, Neural Networks, etc.\n5+ years of scripting and programming skills in Python with focus on clarity, reproducibility, and reusability.\n5+ years of SQL ETL processes (SSIS, SSAS).\nExperience with Azure based development.\nExperience with the ability to consume and deploy data via APIs.\nExperience applying supervised, unsupervised, and semi-supervised learning techniques.\nExperience analyzing large data sets to draw conclusions about data integrity, accuracy, and general relationships\nExperience with common data science / ML toolkits, such as NumPy, SciPy, Scikit-Learn, TensorFlow, Caffe2, MxNet, Torch, etc.\nExpertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, sequential pattern discovery, and text mining.\nAbility to work with pre-existing guidelines, standard operating procedures in a fast-paced professional environment.\nExcellent communication skills (written and verbal)\nStrong attention to detail, highly organized, computer literate\nAbility to work well in a fast-paced professional office environment
## 120 Job Title: Sr. Data Scientist / Quantitative Analyst \nDuration: 12+ Months (possibilities for extension)\nLocation: Boston, MA \n\nInvestment and Technology Solutions group is seeking a hands-on experienced data scientist with financial services industry experience. As part of a small, nimble team, the associate’s key differentiating abilities will be exceptional analytical skills, and an ability to conceive of and develop differentiated products for the benefit of our customers. Absolutely critical is the associate’s ability to carry an initiative from idea through to execution.\n\nThe Expertise We’re Looking For\n5+ years of financial industry experience\nEducation– At least one advanced degree (Master or PhD level) in a technical discipline (including coursework in fields such as statistics, computer science, applied math, econometrics, etc)\nNatural programmer, and demonstrated industry experience with statistics and data modeling\nExtensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation\nIndustry contacts and an ability to hold a deep conversation in one or more of the following areas: electronic trading, asset management, consumer finance, and the Fintech industry landscape\nSpecific certifications – CFA is a plus\nExperience with financial data sets is a plus\n\nThe Purpose of Your Role\nWithin the Platform Analytics group in the Investment and Technology Solutions organization, you will be responsible for providing Project/Program Management oversight and direction for Artificial Intelligence and other analytics projects across the company. You will work with a variety of partners and stakeholders to help identify, execute, and track the progress of multiple projects at the same time.\n\nAs part of a Product organization, you will also have the opportunity to work closely with Product Managers on various aspects of product rollout. As a member of an analytics group, there may be opportunities to “get your hands dirty” developing analytics solutions from time to time.\n \n\n\nJob Requirements\n\nThe Skills You Bring\nSelf-motivated, with a strong desire to learn new skills and technology.\nComfort managing multiple complex projects with a variety of stakeholders, including internal partners and external clients\nA knack for identifying and improving process inefficiencies.\nAbility to effectively prioritize work.\nA working knowledge of analytics techniques and tools.\nAbility to bring clarity and direction to ambiguous situations.\nStrong analytical and problem-solving skills.\nAbility to proactively execute on identified opportunities\n\nThe Value You Deliver\nEnsuring that Artificial Intelligence and other analytics use cases are optimally identified, prioritized, and executed on.\nTracking and reporting on progress related to Artificial Intelligence initiatives.\nCommunicating timely and appropriate updates to key stakeholders\nCollaborating closely with partners throughout the organization to identify synergies, efficiencies, and economies of scale\n\nHow Your Work Impacts the Organization\nArtificial Intelligence solutions present opportunities for company to increase revenues, improve operations, manage risk, and create a better client experience. Your work will ensure that the company is well positioned to identify and execute on these opportunities.\n
## 121 This Data Scientist As a Data Scientist you will be responsible for researching and building machine learning and natural language processing (NLP) •At least 5 years of experience working with large datasets for drawing business insights.•Experience with Natural Language Processing, Information Retrieval, or Recommender Systems•Experience with distributed computing, such as Hadoop, Spark, or related technologies would also be an added advantage.•Experience with mathematical optimization, control theory, time-series analysis would also be an added advantage.Great benefits. Apply for this great position as a data scientist today! We are an equal employment opportunity employer and will consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, age (40 and over), gender identity, national origin, protected veteran status, disability or any other protected classification under federal and state law.\n\nJob Requirements\n\n,
## 122 Company: This transportation disruptor is looking for an exceptional data scientist to join their data team. This group is working to create opportunities for local communities to have greater access to transportation and logistics options. If you are a forward thinking data professional eager to creatively solve problems and shape the industry, they’re looking for you!\n \nThis company appreciates their employees\nIn addition to creating a great work-life balance, this company has a superior benefits package which includes:\n· Paid Time Off & Flexible Leave Options.\n· Excellent Health & Dental Insurance Packages, as well as Life & Travel.\n· Great Retirement Plan.\n \nThe Role You Will Play\nWe are looking for an outstanding Data Scientist who will play a pivotal role with guiding future operations and strategy across all aspects of product.\n· You’re able to use data to perform deep analysis, create statistical models to enrich understanding and forecast product performance.\n· You are a strong user of statistical analysis, machine learning, and hypothesis testing.\n· You have a strong desire to take on new and interesting challenges. \n· You can define and create critical metrics of performance and propose implementable solutions.\n· You have demonstratively added value and optimization through data analytics to the product.\n· You are able to contribute to all stages of analytical development and deployment, especially across cross-functional teams.\n\nJob Requirements\n\nBackground Profile: \n\nMasters in Economics, Statistics, Computer Science, or other quantitative field of study.\n2+ years working in a quantitative analysis role.\nPython or R coding experience, as well as writing and understanding complex SQL and large data sets.\nExcellent statistical-hypothesis experimentation and adaptive testing background. Experience with incentive reward design a huge plus.\nDemonstrated understanding of statistical modeling and machine learning.\nStrong collaborative work ethos allowing you to work easily with multiple teams. \nExcellent problem solver with a proven ability to create or adapt data science models for challenging issues.
## 123 Start a Rewarding Career with Alliant\nWhy Alliant?We’re not a typical financial institution – we’re better. We’re an innovative, fun-loving, highly-engaged group of professionals that are committed to our company and the communities we do business in. We love to recognize and celebrate each other. Over 90% of our employees say we are a great workplace that is focused on our mission, vision and the future of banking. What will your day look like?The Data Scientist provides balanced analytical research and strategies to drive insight to action. The incumbent will work closely with one or several lines of business leadership teams supporting their analytical needs. Responsibilities include performing a wide variety of complex analytical and statistical studies to address and solve research questions and business problems. In addition, the incumbent will conduct advanced analyses, leveraging such techniques as optimization, multivariate regression, longitudinal modeling, and probability theory.\n\nResponsibilities\n\nDo you see yourself doing this?Develop programming in R, SAS, SQL or similar analytical development tools \nMaintain knowledge in statistics, mathematics and/or comparable quantitative area of expertise\nResponsible for collaborating with analysts to facilitate the development and application of advanced analytic strategies and tactics\nAscertain and apply strategies to identified business problems and existing organizational processes in order to provide leaders with insightful resources for decision-making and to increase sales, profit, market share, and achieve enterprise goals\nEstablish parameters of ad hoc analyses by setting appropriate timeline and work quality guidelines\nDevelop timely, innovative, and objective analysis which leads to fact-based solutions for strategic business issues \nAssist in the development of the problem definition and hypothesis formulation process as it relates to the specific business environment \nConduct analyses, formulate insights, and summarize and synthesize findings for presentation to line of business management\nMaintain an understanding of general business trends and requirements for the major area of support, and understand the link between analysis and business impact \nUtilize R, SAS, SQL, Tableau or other analytical development tools with large data sets to design analyses and measure key metrics\nSupport line of business analytical needs with dashboard/report development through Tableau and SAP BO\n\n\nJob Requirements\n\nWhat makes you a great fit?You’ll be a great fit if in addition to the completion of a Graduate Degree in quantitative discipline such as mathematics, econometrics, statistics or data science required (Ph.D. preferred) with 4+ years of relevant experience in an analytical role with strong technical and business acumen, and you have:Experience with advanced regression analysis, probabilistic modeling, and/or machine learning / predictive analytics, including the ability to use tools like Python, and R, SAS Experience with business systems analysis or data analytics / business intelligence requirements gathering\nExcellent verbal and written communication skills; ability to simplify complex concepts and messages to the essential components and deliver effective messages to a wide range of audiences\nStrong desire to learn and continuously grow impact of the role\nSelf-starter, well organized, extremely detail-oriented and a highly collaborative team member\nExperience writing specifications and/or user stories utilizing graphical UI concepts and process maps that are clear, concise and well organized\nHighly effective time and project management skills, including ability to coordinate development, testing and implementation\nProduct Owner certification is a plus\n When you’re happy, we’re happy!As a thank you for joining our team, you’ll benefit from:Competitive medical, dental, and free vision benefits\nCompetitive compensation plan\nContributions towards gym memberships\nGenerous PTO and banking holidays off\nStill not convinced?We’re on the list of 100 Best Medium Companies to work for, check it out here. For more details you can also visit our Glassdoor and LinkedIn profiles.
## 124 PRIMARY PURPOSE\n: To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage.ESSENTIAL FUNCTIONS and RESPONSIBILITIES\nDevelops, prepares, and manages predictive models through completion.\nIdentifies required resources; researches data, procedures, and history for a thorough understanding of project direction.\nCollects new data and statistics from multiple sources and generates statistical analysis.\nCollaborates with data management team to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.\nPartners with both business and IT leaders to influence how the organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.\nPrepares reports using various system programs and coordinating with other departments.\nDevelops and trains the data management team on new or updated procedures as needed.\nADDITIONAL FUNCTIONS and RESPONSIBILITIESPerforms other duties as assigned.\nSupports the organization's quality program(s).\nQUALIFICATIONS\nEducation & Licensing\nBachelor's degree from an accredited college or university with major in Business Analytics, Statistics, Mathematics, or Computer Science; SAS certifications preferred..Experience\nEight (8) years of related experience or equivalent combination of education and experience to include five (5) years of statistical modeling experience with solid background in the fundamentals of machine learning and statistics. Additional InformationHighly prefer candidates with previous experience with Statistical Modeling; Familiarity with at least one programming language; SQL Experience; and SAS experience preferred.Skills & Knowledge\nExperience in managing and manipulating large datasets\nKnowledge of advanced analytics tool such as SAS or R\nThorough knowledge of insurance industry business practices and processes\nExcellent oral and written communication, including presentation skills\nPC literate, including Microsoft Office products\nAnalytical and interpretive skills\nStrong organizational skills\nGood interpersonal skills\nAbility to analyze and interpret complex concepts\nAbility to work in a team environment\nAbility to meet or exceed Performance Competencies\nWORK ENVIRONMENT\n\nWhen applicable and appropriate, consideration will be given to reasonable accommodations.Mental:\n Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlinesPhysical:\n Computer keyboarding, travel as requiredAuditory/Visual:\n Hearing, vision and talkingThe statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.
## 125 \nJob title: Data Scientist\nDuration: 12 Months\nLocation: Bellevue, WA 98004\n\nDescription:\n\nWe look for inquisitive, life long learner with a keen interest on data driven decision making, e-commerce business and understanding customer behaviour. If this is you, read on! \nThis position joins a team of data scientists / analysts working in a fast-faced, multidisciplinary, international environment focused on growing our business of Affiliate Marketing & Strategic Partnerships. You will collaborate with marketers and engineers to shape the Client customer experience. Flexibility and ability to learn quickly is vital as team members work on a wide variety of projects and rotate domains/roles/responsibilities regularly. Candidates must be highly self-motivated and work well with project deadlines. \n\nResponsibilities: \n• Work with stakeholders to find workable solutions to our business problems on data. This will require ability to translate problems stated in business terms into quantitative approaches leading to projects starting small and aspiring to grow big if preliminary results are promising. \n• Understand and develop measurement frameworks to track business performance \n• Support Product and Engineering teams on assessing initiatives and guide via data insight next steps and priorities. \n• Self-starter. Keep balance between starting as many promising workstreams as we can possibly afford while leading a short selection of projects to full completion and final application. \n\nRequirements: \n• +3 years of experience, preferably in Marketing Analytics, preferably on B2C industry leader on positions with high visibility, responsibility and showing ability to transform and disrupt. \n• Degree in a STEM discipline, Master degree or postgraduate education a big plus. \n• Adept at problem solving using both textbook methods and novel viewpoints. Conscious risk taker, opportunity driven, motivated by innovative approaches out of our comfort zone. \n• Able to spot and pursue opportunities as well as to translate high-level directions into practical projects and lead/drive their completion with minimal supervision. \n• Excellent understanding of machine learning techniques and algorithms \n• Experience with common data science and statistical toolkits / software environments: Hadoop, R, Python, others. \n• Excellent scripting and programming skills: SQL is a must have. \n• Experience on experimentation and qualification on statistical testing. \n• Strong written and verbal communication skills, seasoned influencing skills.\n\n\n\nRose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.\nRose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.)\n\n\nJob Requirements\n\n\n\n\n\n\nRequirements:\n• +3 years of experience, preferably in Marketing Analytics, preferably on B2C industry leader on positions with high visibility, responsibility and showing ability to transform and disrupt.\n• Degree in a STEM discipline, Master degree or postgraduate education a big plus.\n• Adept at problem solving using both textbook methods and novel viewpoints. Conscious risk taker, opportunity driven, motivated by innovative approaches out of our comfort zone.\n• Able to spot and pursue opportunities as well as to translate high-level directions into practical projects and lead/drive their completion with minimal supervision.\n• Excellent understanding of machine learning techniques and algorithms\n• Experience with common data science and statistical toolkits / software environments: Hadoop, R, Python, others.\n• Excellent scripting and programming skills: SQL is a must have.\n• Experience on experimentation and qualification on statistical testing.\n• Strong written and verbal communication skills, seasoned influencing skills.\n\n\n\n\n\n
## 126 SUMMARY\nThe 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.\nRESPONSIBILITIES/TASKS:\nResponsibilities will be multi-disciplinary and will include:\nProvides technical and quantitative analysis for predictive modeling group.\n\nAssists in statistical data mining and actuarial research by applying advanced statistical concepts.\n\nUses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages.\n\nParticipates in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills.\n\nConducts research utilizing predictive modeling.\n\nInterprets data and identifies correlations using both univariate and multivariate analysis.\n\nParticipates in and is responsible for advanced projects.\n\nPresents findings and recommendations to appropriate groups.\n\nPrepares 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.\n\nCommunicates and trains users on model results.\nDevelops 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.\nDocument model requirements.\n\nExamine and analyze data to determine optimal modeling approach.\n\nIdentify candidate risk factors.\n\nBuild models using training, test, and cross-validation data sets.\n\nShare model results.\n\nFinalize model.\n\nDelivers conclusions.\n\nDeploy and maintain models with or without the assistance of the IT department\nADDITIONAL RESPONSIBILITIES/TASKS FOR PREDICTIVE MODELER II:\nOversees the creation, development and maintenance of our models.\n\nFurther involvement in communication of predictive model results to other departments.\n\nInvolvement in the implementation of predictive model results into the appropriate system.\n\nWorks with, mentors and provides direction (as necessary) to Predictive Modeler I.\n\nParticipates in development of annual budget, goals, objectives and systems.\nADDITIONAL RESPONSIBILITIES/TASKS FOR DATA SCIENTIST:\nFurther involvement in the implementation of predictive model results into the appropriate system.\n\nAdditional 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.\n\nLead the deployment and maintenance of models with or without the assistance of the IT department.\nADDITIONAL RESPONSIBILITIES/TASKS FOR SENIOR DATA SCIENTIST:\nLeads communication of predictive model results to company.\n\nLeads implementation efforts for assigned predictive model projects.\n\nTrains predictive modelers I and II in predictive modeling and other analytical tasks.\n\nPerforms ad hoc analysis to identify issues with existing models.\n\nDesigns and leads implementation efforts for the maintenance procedures for our models.
## 127 SUMMARY\nThe 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.\nRESPONSIBILITIES/TASKS:\nResponsibilities will be multi-disciplinary and will include:\nProvides technical and quantitative analysis for predictive modeling group.\nAssists in statistical data mining and actuarial research by applying advanced statistical concepts.\nUses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages.\nParticipates in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills.\nConducts research utilizing predictive modeling.\nInterprets data and identifies correlations using both univariate and multivariate analysis.\nParticipates in and is responsible for advanced projects.\nPresents findings and recommendations to appropriate groups.\nPrepares 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.\nCommunicates and trains users on model results.\nDevelops 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.\n\nDocument model requirements.\nExamine and analyze data to determine optimal modeling approach.\nIdentify candidate risk factors.\nBuild models using training, test, and cross-validation data sets.\nShare model results.\nFinalize model.\nDelivers conclusions.\nDeploy and maintain models with or without the assistance of the IT department\n\nADDITIONAL RESPONSIBILITIES/TASKS FOR DATA SCIENTIST:\nFurther involvement in the implementation of predictive model results into the appropriate system.\nAdditional 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.\nLead the deployment and maintenance of models with or without the assistance of the IT department.\n
## 128 Senior Data Scientist \nFintech Client\nMidtown NYC\nFull Time\nWe are a dynamic, technology-driven, and highly productive team of quants, developers and product designers. Deep collaboration with our clients and partners is key, and we benefit from great relationships with the most ground-breaking firms in the asset management industry, who help us to constantly push the limits of technology and analytics.\nWe have a track record of hiring amazing people and giving them (industry veterans and recent grads alike) autonomy and responsibility from the start. You'll have the best tools and resources available to get the job done, and thrive in a collaborative environment where our teams are passionate about building great things.\nThe right candidates will have both a strong mathematical background, and be highly adept technologically.RESPONSIBILITIES\nAnalyse unique proprietary data sets.\nCreate, evaluate, and enhance mathematical models and streaming analytics pipelines.\nWrite production code.\nPartner globally with other data scientists, quants, developers, product designers, clients and industry leaders to tackle the important problems faced by the world's largest asset managers.\nSKILLS\nBachelors' degree or higher in Computer Science, Mathematics or related technical focus.\n5+ years of relevant experience.\nProficiency in a mainstream programming language, such as Python, C/C++, C#, Java, JavaScript, Haskell or similar.\nA strong foundation in a STEM/numeric discipline.\nExpertise in software development practices such as version control (git), test frameworks, code review tools, deployment configuration management, continuous integration.\nSignificant experience with machine learning libraries/frameworks and methods\nExcellent communication skills and team orientation\n
## 129 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. Position Summary:The 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.Essential Duties/Responsibilities:Satisfy USRA's non-profit mission my making a distinctive impact through scientific and technical accomplishments in the assigned research projects.Support goal to better organize, extract and present relevant information buried in a variety of large real world data sets\nRequires 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\nBe familiar with typical "applied data mining research":\nAssessment of existing methods' suitability for application for targeted problem, articulate inadequacies in methods if any existFormulate and develop new methods or modifications of existing methods for targeted problems\nDocument new methods in form of technical reports and Peer Reviewed Publications\nEnsure transparency of algorithms to user experience; develop software and visualization modes of presentation and interaction\nDirectly perform, and publish, research at the highest standards as a PI, Co-I and as a member of larger research projects. 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.\nAssess suitability of different methods for targeted applications, and develop new methods and embody in software implementations as needed.\nPrepare research results for publication in reports, papers, journals, books, and other media.\n\nEngage academic, industrial, and government research communities in collaborative research through activities such as seminars and other talks, workshops, and conferences. Prepare and deliver briefings and presentations to various national and international seminars, talks or lectures for dissemination of knowledge including educational outreach.\nWrite 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.\nEngage the academic community in research work through research collaborations, visits, invited guests, workshops, conferences, etc.\nAct as a mentor for student interns involved in machine learning research.\n\nMaintain an awareness of funding opportunities, and seek and obtain funding to ensure continued growth of the impact of the group's research efforts. Develop an awareness of NASA's mission needs and address them to the best of ability.\nMaintain 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.\nServe as a PI or Co-I on proposal submissions to funding opportunities.\n\nPrepare 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. 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.\nContinue to learn and develop skills and expertise including completing all trainings as scheduled.\nOther job duties as assigned\nRequired QualificationsEducation:Ph.D. degree in Data Science, Computer Science or a related disciplineDesired Experience:At least five years of experience applying machine learning techniques to the aeronautics domain\nA 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.\nExcellent organizational and communication skills.\nExperience as a Principal Investigator (PI)\nKnowledge, Skills and Abilities:Ability to work independently and effectively as part of a multidisciplinary team.\nAbility to prioritize tasks, coordinates work of others, and meets multiple deadlines.\nAbility to communicate through conference presentations and scientific publications is essential.\nAbility 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.\nAbility to interpret USRA and Federal Policies and Procedures necessary to function in a scientific research environment that is enabled through U.S. Government funds.\nAdvanced experimental and analytical skills.\nWorking Conditions:This 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. Travel: Employee must be willing and able to travel. Position may require domestic and international business travel.Applicants should apply to the posting at https://usracareers.silkroad.com/ and include a letter of interest, resume, or curriculum vita. Review of candidates will begin immediately. Additional information on USRA can be found at www.usra.edu. USRA is an Equal Opportunity Employer Minorities/Females/Protected Veterans/Disabled/Sexual Orientation/Gender Identity
## 130 Tower Health currently seeks a Statistician to perform statistical analysis and education in support of quality improvement, clinical and support operations, and research. The Statistician will also promote data-driven decisions for internal activities through the validation of clinical data and analysis, and function as a member of multidisciplinary teams to provide analytic information to the Tower Health leadership.\n\nQualifications\nMasters Degree in Statistics, Biostatistics, Applied Mathematics, or other discipline with extensive use of advanced statistical analysis (Required)\n2-3 years demonstrated proficiency in advanced statistical analysis, including generalized linear models, hypothesis testing, other advanced statistical techniques, including experience with applicable statistical software and relational database queries.\n2-3 years experience in data management performing statistical analysis and interpretation. Prefer experience managing healthcare related data.\nExperience collaborating with others to determine what data are needed, what data exist, and how best to extract and manipulate data structures in preparation for analysis and reporting.\nMust be able to translate end user questions into statistical analysis, perform the analysis, then translate findings into practical terms for the end users and customers.\nExperience with continuous quality improvement activities including a working understanding of common improvement theories and techniques highly desired\nExcellent computer skills with the ability to optimize the use of available software as well as to identify other software or information resources that will expand data analysis capabilities as well as data sets. Programming experience highly desired.\nExcellent communication, interpersonal, and project management skills with the ability to work with a variety of individuals throughout the organization.\nAbility to effectively prioritize and organize work assignments.
## 131 The Lead Marketing Data Scientist leverages advanced analytic knowledge and statistical/data mining model to predict customer behavior, segment customer clusters. He/she works with business marketing team and support to optimize the digital campaigns, analyze the effectiveness of the campaign, and estimate the financial impact.\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.\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.\nResponsibilities and Duties\nDevelops predictive models for customer value estimation and behavior estimation\nWorks with peer marketing team to support digital campaigns and leverage the analysis or advanced models\nMeasures the effectiveness of the digital campaigns and estimates the financial impact\nSupports digital campaign customer data platform and integration\nKnowledge and Skills\n5+ years' experience in machine learning/statistical modeling (e.g., classification model, cluster models, etc.)\n5+ years' experience in customer prediction and modeling\nExpert skills in Python or R\nAdvanced experience in Hive, Spark, SQL and other big data skills\nKnowledgeable in digital campaigns and digital audience management\nMaster's Degree (or internationally comparable degree) in Computer Science, Mathematics, Statistics, Data Science or related field - Preferred\nUPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law
## 132 The Senior Data Scientist uses various analytic methods such as predictive modeling, text mining, machine learning, statistical forecasting, optimization, and simulations to develop and implement advanced statistical, econometric, marketing and decision support systems to yield predictive and prescriptive insights in various areas of UPS business. The Senior Data Scientist assesses business needs, conducts research, and designs/develops integrated solutions to business problems. Successful candidate will work with a team that is responsible for researching and implementing advanced analytics models utilizing a diverse set of techniques.\nResponsibilities and Duties\nCollaborate with various groups to gather, curate, and build data sets needed to successfully construct the foundation of our Analytical Models\nDevelop hypotheses, approaches, models, and solutions to solve problems and increase profitability and efficiency\nManage the execution of analytics projects based on statistics, machine learning, experimental design, and the scientific method principles to derive insights\nDesign and leverage various types of customer segmentation models to identify opportunity for growth and assess overall customer health\nWork with various department project teams and facilitates collaboration with cross-functional stakeholders\nIntegrate marketing performance and impact within the sales to drive coordination between Marketing and Operational initiatives\nLeverage analytics and visualization tools to design and present information to drive fact-based decision making\nDevelop subject matter expertise on internal and external sources of information\nStay up to date with the industry trend to gain knowledge of latest hardware and software, emerging technologies, and analytic techniques to ensure UPS is utilizing state-of-the-art tools\nKnowledge and Skills\nMaster's Degree with 5+ years' experience or a Ph.D. with 2+ years of advanced analytics experience \nExpertise with statistical languages such as R and/or Python\nStrong understanding of statistics and probability: distributions, experimental design, variance analysis, A/B testing, probability theory, stochastic systems, and Bayesian inference\nExpertise with various statistical modeling algorithms such as: regression, clustering, ARIMA, decision trees, Time Series, and simulation\nExpertise in machine learning algorithms and experience using the following ML techniques: Regression, Decision Trees, Random Forests, Gradient Boosting, SVMs, Clustering and Neural Networks\nWorking experience with database systems (e.g. SQL, NoSQL, Teradata, MongoDB, Postgres, etc.)\nMaster's Degree or Ph.D. in Operational Research, Mathematics, Engineering, Statistics, Econometrics or related field - Preferred\nExperience with Big Data technologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies (Google Cloud, Azure, etc.) - Preferred\nAdvanced skills to work with large, complex, and disparate data (accessing, connecting, and analyzing) - Preferred\nUPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law
## 133 Kavaliro is looking for a Data Intelligence Analyst(Scientist) with Machine Learning experience for a permanent position with our direct client in Columbia, MD. Must be a US Citizen or Green Card Holder. The candidate will work in the Data Intelligence Dep't and must have knowledge of pure math, statistics, Quantitative methodology and behaviour modeling in a machine learning context. This is an immediate need with a fast growing company that has excellent benefits. Please note: Only U.S citizens or Aliens who have a legal right to work in the U.S are eligible for employment for this position. Description: - Data Scientist position with Machine Learning, R-Programming and Python Scripting, or even SAS. - BI Tools, With strong knowledge and experience in SQL, and Databases such as Oracle and SQL Server. - The ideal candidate will regularly integrate knowledge of pure mathematics and statistics, computer programming, quantitative methodology, and individual behavior modeled in machine learning contexts. - The goal is to support and enhance the comprehensiveness of our services for ongoing projects as well as research and develop new ML techniques to incubate new projects of value and identify opportunities in a quickly evolving space. Responsibilities: - Process, cleanse, and verify the integrity of data used for analysis - Troubleshoot problems with data and processing - Create visualizations and automated reporting for internal and external users - Conduct research using a wide variety of resources and craft programming-based solutions to obtain requisite data - Develop models that help reveal and characterize unit-level behaviors to deliver actionable insight, accurate predictions, and effective optimization • Collaborate on feature engineering and optimization Qualifications: - Working experience with relational databases, data processing algorithms and design patterns Strong SQL query experience - Strong understanding of regression analysis contexts - Familiarity with machine learning concepts, classification regression, and general methodology - Analytical mindset with problem-solving skills - Academic or professional use of STATA, SPSS, R, or an equivalent statistical package for hypothesis testing - One to three years of direct or relevant professional experience - Four-year degree in a relevant discipline (pure mathematics, applied mathematics, economics, computer science, engineering, physics, operations research, or other relevant degree) Optional Skills: - Docker, Microsoft Power BI, Microsoft Machine Learning Server, R Studio Server, ODBC connection strings, The Census data ecosystem, Social media analytics, Search Engine Optimization (SEO), Exposure to Python, Past work on a commercial or paid platform such as Google Analytics
## 134 One of our clients is looking for a Senior Data scientistNeeds:10+ years of experience\nPython or R expertise\nExperience building and tuning machine learning models including (Neural Networks, SVM, Random Forest, XGBoost)\nExperience with OCR tools such as Abbyy, Tessarect
## 135 What Advanced Analytics contributes to Cardinal HealthAdvanced Analytics is responsible for applying quantitative methodologies, techniques and tools to develop best in class analytic solutions that solve complex business problems.Works with stakeholders to identify business opportunities, goals, or objectives\ndetermines if objectives can be met using an analytical approach and develops hypothesis.\nIdentifies key data requirements and acquires data\nharmonizes, rescales, and cleans data for statistical techniques\napplies data visualization techniques to evaluate data for model specification etc.\nBuilds custom quantitative models by applying advanced statistical methods such as causal and predictive modeling, forecasting, data mining, simulation, and/or optimization.\nDemonstrates the ability to perform validation and testing of models to ensure adequacy and determines need for reformulation.\nInterprets results of quantitative models, identifies trends and issues, and develops alternatives to support business objectives.\nDemonstrates ability to clearly and concisely communicate complex information to a variety of audiences and mediums.\nPartners with stakeholders and technologist to implement/automate/operationalize models into day-to-day business decision making.\nQualificationsBachelor's Degree in related field or equivalent work experience\nProven experience as a Data Scientist\n3-5 years hands on experience with BI technologies (e.g. Tableau, Alteryx, MS Power BI)\nExperience working with and creating data architectures\nHands on experience with SQL Server and Oracle\nFamiliar with statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.\nKnowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.\nKnowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.\nExperience using web services: Redshift, S3, Spark\nFamiliar with Agile/SCRUM \nEffective verbal & written communication skills\nStrong ability to understand the business and translate it into technology deliverables\nProven analytical & problem-solving skills applied to complex business applications & programming\nAbility to work independently, multi-task and set priorities\nMust be able to work cooperatively within a team as a team member\nResults oriented with on-time & quality delivery; strong service orientation\nMust demonstrate a professional attitude & demeanor\nWhat is expected of you and others at this levelApplies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects\nMay contribute to the development of policies and procedures\nWorks on complex projects of large scope\nDevelops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objectives\nCompletes work independently receives general guidance on new projects\nWork reviewed for purpose of meeting objectives\nMay act as a mentor to less experienced colleagues\nCardinal Health is an Equal Opportunity/Affirmative Action employer. 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.
## 136 What you will do: The Senior Data Scientist mines and analyzes complex data sets using advanced statistical methods for use in data driven decision making. The Senior Data Scientist leads in the production of research and analysis to quantify the impact of internal and external environments on operational performance. This position is responsible for summarizing, reporting, and providing polished presentations of findings to a variety of internal and external users as well as working with other departments to achieve the overall analytical objectives. The data scientist will report results via visualization tools such as power BI and use tools such as R studio, Azure Machine Learning (AML) for algorithmic analysis. He/she will lead and provide technical guidance, and also serve as a mentor to other team members on statistical analysis, predictive analytics and machine learning. How you will do it: JOB RESPONSIBILITIES: Performs research, analysis, and modeling on organizational data (large datasets).\nResponsible for enterprise-grade statistical solutions (using machine learning and predictive analytics) catering to both internal and external customers.\nAssists in analyzing key metrics and performing data analysis.\nIdentify and understand business issues and map these issues into quantitative questions\nStay involved in all aspects of the program lifecycle from requirements gathering, ideation, data wrangling, hypothesis generation, programming, testing and implementation of new processes and tools.\nDevelops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.\nProvides findings and analysis for users in decision making using visualization tool such as Power BI.\nEnsures that the delivered products meet the business needs of the company.\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.\nSupport and drive analytic leadership efforts around machine learning and innovation, business and technology planning, and positive team environment.\nContribute to team training materials, reference documents, technical documents and business presentations. Provides leadership, coaching, and/or mentoring to junior data scientists.\n\nJob Requirements\n\nWhat we look for: REQUIRED: EDUCATION & EXPERIENCE: Bachelor degree or higher from a reputed university in engineering, IT, economics, math, statistics, science or other related fields. \n5+ years of experience in quantitative related field (data science, statistics, analytics, reporting).\n SKILL: Expert level skill in R programming & Python.\nExperienced with Data Mining, Clustering & Statistical Modelling (preferred).\nExperience applying computational algorithms and statistical methods to structured and unstructured data.\nExperience with using Microsoft analytics Stack (SSAS Tabular, Power BI, Power Query, DAX, SQL and T-SQL).\nExperience with working with SSAS cubes.\nExperience with Azure Machine Learning (AML). Understanding of Azure and its data services.\nKnowledge of working with database client tools such as Toad.\nExcellent skill level in relational database required. Oracle knowledge preferred.\nProficient in Microsoft Office Suite and Office 365.\nSuperior documentation and organizational skills. Must be detail oriented.\nExcellent critical-thinking skills with the ability to research and analyze data retrieved from multiple sources\nMust possess and demonstrate excellent verbal, written, and interpersonal communications skills. \nMust be an adaptable self-starter and work with minimal supervision. Must be able to handle multiple projects and organize time effectively.\nMust be willing to put in extra time and effort if need be. Go above and beyond the requirements of the job and strive to exceed expectations.\n***Role can be remote-based.*** Johnson Controls is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit www.johnsoncontrols.com/tomorrowneedsyou.
## 137 \nWithin the Platform Analytics group in the Investment and Technology Solutions organization, you will be responsible for providing Project/Program Management oversight and direction for Artificial Intelligence and other analytics projects across client’s Institutional. \n\nYou will work with a variety of partners and stakeholders to help identify, execute, and track the progress of multiple projects at the same time. \nAs part of a Product organization, you will also have the opportunity to work closely with Product Managers on various aspects of product rollout. \n\nAs a member of an analytics group, there may be opportunities to “get your hands dirty” developing analytics solutions from time to time.\n\n\nJob Requirements\n\n\n5+ years of financial industry experience\nEducation– At least one advanced degree (Master or PhD level) in a technical discipline (including coursework in fields such as statistics, computer science, applied math, econometrics, etc.)\nNatural programmer, and demonstrated industry experience with statistics and data modeling\nExtensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation\nIndustry contacts and an ability to hold a deep conversation in one or more of the following areas: electronic trading, asset management, consumer finance, and the Fintech industry landscape.\n
## 138 POSITION SUMMARY Looking for opportunities to use cutting edge technologies analyzing petabytes of data in a world class Hadoop cluster, generating insights to guide consumers in their journey to wellness and help them achieve their health ambitions, whether its running the Inca Trail Marathon or playing tackle football with their grandkids? Aetna's Member Analytics team is focused on delivering strategically-impactful programs and tools to help members across all life stages feel the joy of achieving their best health, in their own way. This position will work within a cross-functional team, delivering predictive analytics solutions to drive customer engagement and next-best-action, and improve customer experience across critical journeys, e.g., onboarding, breast cancer, maternity. The candidate will be responsible for extracting and manipulating data from multiple, large data sources and using the data to deliver predictive model and solutions to drive member behavior change and experience across channels (mobile app, web, email, social, call center, Apple).Fundamental ComponentsDevelops and/or uses advanced algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Uses strong programming skills to explore, analyze and interpret large volumes of data in various forms, and solve complex business problems. Supports deployment of insights across multiple channels, i.e., web, mobile app, email, social, call center, Apple watch. Demonstrates strong ability to communicate technical concepts and implications to peers, managers, and business partners.BACKGROUND/EXPERIENCE desired5 or more years of progressively complex related experience. Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas. Expertise in using R or Python to manipulate large data sets and develop statistical models. Expertise in data management in an Hadoop environment, including use of Hive. Excellent problem solving skills, critical thinking and conceptual thinking abilities. Strong ability to communicate technical concepts and implications to business partners. Some knowledge of health care industry preferred.EDUCATION The highest level of education desired for candidates in this position is a Master's degree. ADDITIONAL JOB INFORMATION Aetna is about more than just doing a job. This is our opportunity to re-shape healthcare for America and across the globe. We are developing solutions to improve the quality and affordability of healthcare. What we do will benefit generations to come. We care about each other, our customers and our communities. We are inspired to make a difference, and we are committed to integrity and excellence. Together we will empower people to live healthier lives. Aetna is an equal opportunity & affirmative action employer. All qualified applicants will receive consideration for employment regardless of personal characteristics or status. We take affirmative action to recruit, select and develop women, people of color, veterans and individuals with disabilities. We are a company built on excellence. We have a culture that values growth, achievement and diversity and a workplace where your voice can be heard. Aetna is about more than just doing a job. This is our opportunity to re-shape healthcare for America and across the globe. We are developing solutions to improve the quality and affordability of healthcare. What we do will benefit generations to come. We care about each other, our customers and our communities. We are inspired to make a difference, and we are committed to integrity and excellence. Together we will empower people to live healthier lives. Aetna is an equal opportunity & affirmative action employer. All qualified applicants will receive consideration for employment regardless of personal characteristics or status. We take affirmative action to recruit, select and develop women, people of color, veterans and individuals with disabilities. We are a company built on excellence. We have a culture that values growth, achievement and diversity and a workplace where your voice can be heard. Benefit eligibility may vary by position. Click here to review the benefits associated with this position. Aetna takes our candidates's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.Aetna is an Equal Opportunity, Affirmative Action Employer
## 139 POSITION SUMMARY This position will work within a cross-functional team, delivering predictive analytics solutions to drive customer engagement and next-best-action, and improve customer experience across critical journeys, e.g., onboarding, breast cancer, maternity. The candidate will be responsible for extracting and manipulating data from multiple, large data sources and using the data to deliver predictive model and solutions to drive member behavior change and experience across channels (mobile app, web, email, social, call center, Apple)Fundamental Components:• Develops and/or uses advanced algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes• Uses strong programming skills to explore, analyze and interpret large volumes of data in various forms, and solve complex business problems• Supports deployment of insights across multiple channels, i.e., web, mobile app, email, social, call center, Apple watch• Demonstrates strong ability to communicate technical concepts and implications to peers, managers, and business partnersBACKGROUND/EXPERIENCE desired:• 2-3 or more years of progressively complex related experience• Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas.• Expertise in using R or Python to manipulate large data sets and develop statistical models• Expertise in data management in an Hadoop environment, including use of Hive• Excellent problem solving skills, critical thinking and conceptual thinking abilities• Strong ability to communicate technical concepts and implications to business partners• Some knowledge of health care industry preferredEDUCATION The highest level of education desired for candidates in this position is a Master's degree. ADDITIONAL JOB INFORMATION Aetna is about more than just doing a job. This is our opportunity to re-shape healthcare for America and across the globe. We are developing solutions to improve the quality and affordability of healthcare. What we do will benefit generations to come. We care about each other, our customers and our communities. We are inspired to make a difference, and we are committed to integrity and excellence. Together we will empower people to live healthier lives. Aetna is an equal opportunity & affirmative action employer. All qualified applicants will receive consideration for employment regardless of personal characteristics or status. We take affirmative action to recruit, select and develop women, people of color, veterans and individuals with disabilities. We are a company built on excellence. We have a culture that values growth, achievement and diversity and a workplace where your voice can be heard. Aetna is about more than just doing a job. This is our opportunity to re-shape healthcare for America and across the globe. We are developing solutions to improve the quality and affordability of healthcare. What we do will benefit generations to come. We care about each other, our customers and our communities. We are inspired to make a difference, and we are committed to integrity and excellence. Together we will empower people to live healthier lives. Aetna is an equal opportunity & affirmative action employer. All qualified applicants will receive consideration for employment regardless of personal characteristics or status. We take affirmative action to recruit, select and develop women, people of color, veterans and individuals with disabilities. We are a company built on excellence. We have a culture that values growth, achievement and diversity and a workplace where your voice can be heard. Benefit eligibility may vary by position. Click here to review the benefits associated with this position. Aetna takes our candidates's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.Aetna is an Equal Opportunity, Affirmative Action Employer\n\nJob Requirements\n\nPOSITION SUMMARY This position will work within a cross-functional team, delivering predictive analytics solutions to drive customer engagement and next-best-action, and improve customer experience across critical journeys, e.g., onboarding, breast cancer, maternity. The candidate will be responsible for extracting and manipulating data from multiple, large data sources and using the data to deliver predictive model and solutions to drive member behavior change and experience across channels (mobile app, web, email, social, call center, Apple)Fundamental Components:• Develops and/or uses advanced algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes• Uses strong programming skills to explore, analyze and interpret large volumes of data in various forms, and solve complex business problems
## 140 Job Number: R0038758Data Scientist, LeadThe Challenge:Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.\nWe have an opportunity for you to use your leadership and analytical skills to improve the fundamental way the DoD builds and deploys within a large DoD client while supporting broader firm growth initiatives. You’ll work closely with your customers to understand their questions and needs, architect solutions involving leading edge tools and ML/AI techniques, build teams, and then dig into their data-rich environment to find the pieces of their information puzzle. Apply strong technical and analytical skills to explore technical, operational, and business data from multiple disparate sources with the goal of discovering patterns and previously hidden insights. You’ll supervise teams who will use expertise in CS, software development, and the latest technologies to design and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations. You will leverage comprehension of mathematical and statistical concepts, as well as CS and DoD communications systems expertise to bridge the gap between technologists, mission specialists, business analysts and suppliers to help your customers make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. As a technical leader, you’ll identify new opportunities to use data science solutions to help your customers meet their toughest challenges. Operationally, we will need you to recruit and grow a team that will be motivated and seen as valuable by clients and other leaders across the firm. Join us as we use data science to achieve new and remarkable solutions for our clients.\nEmpower change with us.\nBuild Your Career:\nAt Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect:access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk\na chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition\nparticipation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government\nYou’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want, as you chart your own course for success.\nYou Have:Experience with advanced analytic techniques, including machine language and artificial intelligence and and tools, such as Python, data lakes, data wrangling applications, and data visualization software\nExperience in managing multi-person tasks, achieving quality, timeliness, and affordability\nAbility to recruit, retain, and develop careers of data scientists with varying levels of experience\nAbility and interest to participate in business development activities, such as proposals, marketing briefings, and sales calls\nSecret clearance\nBS degree in Technology, Mathematics, Economics, or Business\nNice if You Have:Experience in conceiving and implementing fully integrated multi-vendor solutions\nExperience in providing data science services to DoD clients\nKnowledge of Defense IT or communications networks\nKnowledge of Agile would be a plus\nClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.\nWe’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.#LI-AH1, CB13, CJ1, DH1, GD13, MPPC
## 141 Job Number: R0028362Data Scientist, SeniorThe Challenge:Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.\nWe have an opportunity for you to use your analytical skills to improve Cybersecurity to federal departments, agencies, and partners by developing new technologies and implementing cutting-edge solutions. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop, identify, and research new ways to interact with data and visualization to provide DHS with advanced situational awareness based on the capabilities deployed. Your ability to use the right combination of algorithms, tools, and frameworks to turn disparate data points into objective answers will help to deploy and sustain the DHS National Cybersecurity Protection System (NCPS). You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good to support DHS’ Cybersecurity engineering and acquisition Center of Excellence.\nEmpower change with us.\nBuild Your Career:At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect:access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk\na chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition\nparticipation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government\nYou’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want, as you chart your own course for success.\nYou Have:-8+ years of experience with data science or Cybersecurity-Experience with Python-Experience with SQL-Knowledge of data science and machine learning techniques-Knowledge of Cybersecurity concepts and trends-Ability to build presentations and present to large groups-TS/SCI clearance-BA or BS degree in CS, Mathematics, Engineering, Science, or Technology\nNice if You Have:-Experience with Apache Spark-Experience with Hadoop, YARN, HDFS, Kafka, and Ambari-Experience with Elasticsearch, Logstash, and Kibana (ELK) stack-Experience with IBM Netezza, Tableau, and bash scripting-Experience with JIRA and working in an Agile environment-DHS Suitability clearance-Apache Spark Developer Certification-CISSP, Security+, or other Cybersecurity CertificationClearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.#LI-AH1, CB13, CJ1, DH1, GD13, JHT, MPPC
## 142 The statistician serves as a representative of the Biostatistics platform on clinical teams and is responsible for leading the development of a product from the platform standpoint. He/she takes a leadership role in projects up to and including participation in the preparation of a dossier for submission. He/she also may represent the Biostatistics platform at external meetings with regulatory agencies and key opinion leaders.Key accountabilities:- Acts as lead statistician for small to large projects, including complex designs and/or efficacy/effectiveness.- May participate as lead statistician in dossier submission preparation- Manages and follows-up the activities that are outsourced to external partners, including submissions- Participates and provides statistical support in the preparation of major decision-making meetings- Completes statistical section of the clinical study report and provides a critical review- Ensures accuracy of statistical methods (SAPs, sample size estimation, study design, randomization) and statistical analysis results through review and validation- Participates in discussions and writing of Clinical Development PlansBasic Qualifications /Requirements:- Minimum of a Masters degree (Statistics , Applied Statistics, Mathematics, Data Analytics, or similar field of study) AND- 5+ years of experience in the pharmaceutical/biotech industry.- Demonstrated experience with SAS software and awareness of current features of SAS; this includes the use of SAS Base, Statistics, and Graphics. The successful candidate will also possess the following skills:- Ability to work in a multidisciplinary and international team. - Very good oral and written communication skills.- Ability to lead a project(s) while providing supervision of others - Dossier submission experience- Experience providing strategic input to Study design and Clinical Development Plans Sanofi US Services, Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.#LI-SPSanofi is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe.Sanofi, Empowering Life
## 143 This position is open as of 10/21/2018.Senior Artificial Intelligence Engineer - Supply Chain SolutionsIf you are a Senior Engineer - Artificial Intelligence with experience, please read on!Located in Pleasanton, CA, we are a fast growing solutions provider for the supply chain industry. Our platform connects key logistics players within a vast network with efficient solutions to their whole process within every step of the supply chain. Our departments are rapidly growing and we are looking for a Senior Engineer with AI experience to be a part of our innovative teamWhat You Will Be DoingYou will be at the heart of a growing and exciting focus area for the company and work with variety of its business units to apply Artificial Intelligence (AI) techniques to our most difficult problems and foster R&D collaborations across the product groups.This group helps to solve the organization's most difficult challenges based on leading AI and Machine Learning technologies.We work with business partners in order to identify specific business problems to which AI and Machine Learning techniques can be applied.The group is also chartered with exploring the boundaries of Big Data analytics both in existing business units as well as emerging opportunities including areas in Natural Language Processing, Robotic Process Automation, Intelligent Document Recognition, Speech Recognition, and Blockchain/Distributed Ledger technologies.We are looking for an experienced technical contributor to lead at the forefront of the above cutting-edge technologies.You will build prototypes and explore conceptually new solutions in a fast-paced environment.You will be a part of a team of world-class engineers and developers, collaborating with the product managers, as well as applying the company's product vision and maintaining compliance with quality standards.You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player.What You Need for this Position-Experience in the fields of Artificial Intelligence, Natural Language Processing, Computational Linguistics, Intelligent Systems, Machine Learning, Neural Networks, Knowledge graphs or related areas.-5+ years of software development experience with exposure to data analysis in high performance computing, Big Data analysis or related areas, deep understanding of Machine Learning and Cloud Services.-Deep expertise in Neural Networks, Convolutional Neural Networks, Random Forests, Classifiers, Feature Representations, and/or related techniques.-Advanced proficiency with at least one statistical computing language for data analysis, such as R or Python.-Experience building large-scale software systems: developing, testing, and maintaining them.-Experience with version control tools such as Git and SVN.-Strong Linux/UNIX skills.-Experience designing and using relational databases.-Experience building and maintaining large-scale systems.-Bachelor's degree or higher in a Computer Science or related field.-Superior capabilities in abstract, verbal, and spatial reasoning, ability to build complex systems mentally and then implement them with a sharp eye for detail.-Ability to accommodate some travel, if necessary.What's In It for You-Competitive Base Salary DOE-Comprehensive Benefits Package-BonusSo, if you are a Senior Engineer - Artificial Intelligence with experience, please apply today!Required SkillsArtificial Intelligence, Machine Learning, Big Data, Natural Language Processing, Neural Networks, R, PythonIf you are a good fit for the Senior Artificial Intelligence Engineer - Supply Chain Solutions position, and have a background that includes:Artificial Intelligence, Machine Learning, Big Data, Natural Language Processing, Neural Networks, R, Python and you are interested in working the following job types:Information Technology, Engineering, Professional ServicesWithin the following industries:Transportation - RailroadOur privacy policy: Your resume and information will be kept completely confidential.Looking forward to receiving your resume through our website and going over the job in more detail with you!CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.Your Right to Work – In 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 verification document form upon hire.\n\nJob Requirements\n\nArtificial Intelligence, Machine Learning, Big Data, Natural Language Processing, Neural Networks, R, Python
## 144 Senior Big Data Scientist - Boston, MA - $130-150KA new client of mine in Boston is looking to hire a Senior Big Data Scientist! This candidate should be able to develop predictive modeling systems and machine learning algorithms. Ideally, they are looking for someone who has interest working in the marketing/advertising space. Prior experience working in a cloud environment is preferred. If you are interested please read the requirements below and apply!Senior Big Data Scientist - Boston, MA - $130-150KRequirements:Proficiency with Python or Scala\nExperience utilizing machine learning methodologies in production\nExperience with Big Data tools - Hadoop, Spark, Hive, etc\nExperience working on projects in a cloud environment - preferably AWS\nBenefits:Competitive base salary and bonus\nWork with the latest technologies\nPTO and paid sick leave\nFully paid benefits\nIf you are interested in this position, please call me (Casey Carton) at 212-731-8282 or simply send me your resume to my email address - [Click Here to Email Your Resumé]. Act fast, as this opportunity will most likely be off the market in the near future.I understand the need for discretion and would welcome the opportunity to speak to any AWS Big Data candidates that are considering a new career or job either now or in the future. Confidentiality is of the upmost importance. For more information, I can be contacted at 212-731-8282. Please see www.jeffersonfrank.com for more information.AWS / Big Data / IoT / Hadoop / Hive / Pig / Spark / R / Scala / Pyspark / Azure / GCP / HD Insight / SQL Data Warehouse / Data Lake / Stream Analytics / Machine Learning / Spark / Redshift / EMR / EC2 / S3 / Presto / Kinesis / Analytics / Boston / United States\n\nJob Requirements\n\nAWS / Big Data / IoT / Hadoop / Hive / Pig / Spark / R / Scala / Pyspark / Azure / GCP / HD Insight / SQL Data Warehouse / Data Lake / Stream Analytics / Machine Learning / Spark / Redshift / EMR / EC2 / S3 / Presto / Kinesis / Analytics / Boston / United States
## 145 AWS Big Data Scientist - New York - $150KOne of my clients in the New York area is looking to hire an experienced AWS Big Data Scientist. This candidate should have hands on experience with coding, analytics, and predictive models. They should also have hands on experience with the Hadoop Ecosystem. If you are interested, please review the following requirements below and apply!AWS Big Data Scientist - New York - $150K Requirements:Experience in SQL and relational databases\nExperience with coding language Python\nHands on with Big Data tools such as: Hadoop, Hive, Spark\nKnowledge of AWS\nExperience with predictive analytics and data science\nHands on with predictive modeling and machine learning projects\nBenefits:Fully paid medical/dental/vision insurance\nWork remote\n401K with company match\nCompetitive base salary with bonus\nIf you are interested in this position, please call me (Ericka Styles) at 212-731-8282 or simply send me your resume to my email address - [Click Here to Email Your Resumé]. Act fast, as this opportunity will most likely be off the market in the near future.I understand the need for discretion and would welcome the opportunity to speak to any Big Data and cloud analytics candidates that are considering a new career or job either now or in the future. Confidentiality is of the upmost importance. For more information on available BI jobs, as well as the Business Intelligence, Big data and cloud market, I can be contacted at 212-731-8282. Please see www.jeffersonfrank.com for more information.Big Data / Data Science / Hadoop / Microsoft Business Intelligence / BI / Business Intelligence / SSRS / SSAS / SSIS / SQL / T-SQL / MDX / Azure / Cloud / AWS / Data Warehouse / ETL / Power BI / Architect / Big Data / Hadoop / Scala / Python / Apache / Hive / Spark / Data Science / Analytics / Predictive Modelling / New York / New Jersey\n\nJob Requirements\n\nBig Data / Data Science / Hadoop / Microsoft Business Intelligence / BI / Business Intelligence / SSRS / SSAS / SSIS / SQL / T-SQL / MDX / Azure / Cloud / AWS / Data Warehouse / ETL / Power BI / Architect / Big Data / Hadoop / Scala / Python / Apache / Hive / Spark / Data Science / Analytics / Predictive Modelling / New York / New Jersey
## 146 Job Number: R0036859Data Scientist/Analyst, LeadThe Challenge:Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data. We have an opportunity for you to use your leadership and analytical skills to improve a client's ability to make informed decisions to support their mission. You’ll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help the mission client make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good. Empower change with us.\nBuild Your Career:At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect:access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk\na chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition\nparticipation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government\nYou’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want, as you chart your own course for success.\nYou Have:-Experience with using technical and analytical work to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously held insights that can provide a competitive advantage or identify and address a pressing business problem-Ability to analyze and implement analysis infrastructures and tools, analytic workflow processes, and complex data visualizations-Ability to supervise the activities of teammates-TS/SCI clearance with a polygraph-BA or BS degree\nNice If You Have:-10+ years of experience in a professional work environment-Knowledge of data modeling and forecasting-BS degree in Mathematics, Statistics, or CS preferred\nClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.CMD
## 147 My client is a Fortune 500 company that is looking to expand their Data Science team and bring on an experienced Data Scientist. This is a full-time, permanent opportunity offering a great salary and opportunity to work with the newest technologies. Responsibilites & Requirements:*Prior Experience as a Data Scientist *Develop Machine Learning/Statistical Models and Algorithms*Experience with AWS (Redshift, S3, EC2, EMR,)*Strong Python experience, ideally building Data Pipelines*ETL & Spark experienceBenefits:*Opportunity to work with the newest technologies*Full health/dental/vision coverage*Significant Paid Time Off*State of the art Facilities*401(k) with company match*Opportunity to build out the Data Science teamPlease send your resume to [Click Here to Email Your Resumé] or call 212-731-8282!
## 148 Grant Thornton is seeking a Senior Associate to join its Advanced Digital Technology and Transformation service line and take an active role in engagement execution, project management and key business development activities.Grant Thornton Public Sector helps executives and managers at all levels of government maximize their performance and efficiency in the face of ever tightening budgets and increased demand for services. We give clients creative, cost-effective solutions that enhance their acquisition, financial, human capital, information technology, data analytics, and performance management. For more information, visit grantthornton.com/publicsector.At Grant Thornton, our professional staff applies traditional, cutting-edge approaches and methods to a variety of analyses. As part of our team, the Senior Associate will utilize various methodologies and models to execute client projects.ESSENTIAL DUTIES:Lead development of data analytics and business intelligence capabilities, including enhancement of various tools and applications integrated as part of an enterprise data management and decision support platform. Analytical capabilities include Tableau and Power BI visualizations and dashboards, as well as predictive and prescriptive analytics, such as optimization modeling.Support development of enterprise system data architecture to automate data flows, data inputs/outputs, and storage by applying data integration, data modeling, ETL, and database design techniques.Meet or exceed targeted billing hours (utilization).Assist with business development activities, such as proposals, capture, account teams, whitepapers, conferences, and/or other thought leadership materials.\nJob Requirements\n\nExpertise in operations research methods and application of analytical techniques to support decision making, including predictive analytics and optimization modeling Strong data management skills, including data integration, data modeling, and database design Expertise with Tableau, advanced SQL, and VBA 15 years experience / 12 years plus advanced degree Degree fields: Operations Research, Computer Science, Engineering, Business, Mathematics, Information Systems, or Management ScienceBachelor’s Degree required from an accredited college or university in a related field. Ability to obtain and maintain certain job-related certifications if no job-related advanced degrees.U.S. citizenship may be required. Ability to work in the United States indefinitely required.Travel may be required.Ability to work overtime required on occasion.Ability to sit in an office environment for long periods of time.Ability to obtain and maintain a security clearance.Ability to communicate clearly in writing and verbally.Ability to obtain and maintain firm independence and abide by firm ethics requirements.Meet or exceed continuing professional education (CPE) requirements.Grant Thornton LLP is the U.S. member firm of Grant Thornton International, one of the six global accounting, tax and business advisory organizations. Grant Thornton’s Public Sector, based in Alexandria, VA, is a global management consulting business with the mission of providing responsive and innovative financial, performance management and systems solutions to governments and international organizations. Visit Grant Thornton’s Public Sector at www.grantthornton.com/publicsector. It is Grant Thornton’s policy to promote equal employment opportunities. All personnel decisions, including, but not limited to, recruiting, hiring, training, promotion, compensation, benefits and termination, are made without regard to race, creed, color, religion, national origin, sex, age, marital status, sexual orientation, gender identity, citizenship status, veteran status, disability, or any other characteristic protected by applicable federal, state, or local law.
## 149 Job Description Seeking Machine learning and Data science expertise for Cutting-edge cyber SECURITY CHALLENGES.We are looking for Machine Learning and Data Science experts to solve today’s and tomorrow’s cyber security challenges. Creativity and flexibility are a must as you join a team developing and applying Machine Learning techniques for advanced cyber systems including:• Cyber-attack prediction• Enterprise-wide data flow analysis and defense• Insider threat detection• Host, network, and enterprise analysis and defense• Autonomous systems• Vehicles, Internet of Things, SCADA systems, and cyber-physical systems• Automated program analysis toolsWho we are:The BAE Systems’ Cyber & Communications Technologies (CCT) Product Line is the leading cyber R&D organization dedicated to U.S. Cyber Security and Cyber Warfare needs. We are the cyber R&D engine for all of BAE Systems North America, yet run like a boutique firm. It’s the best of both worlds–combining a small-company feel, our own facility, and unparalleled access to a large company’s technology transition paths and customer base. Our team has pioneered novel application of Machine Learning techniques to cyber problems.Help us conquer R&D challenges and produce revolutionary cyber technology leveraging Machine Learning that makes a real impact – We Protect Those Who Protect Us.What we offer: • Exciting cyber research focused on Machine Learning and related fields• Exceptional teammates• A Machine Learning Center of Excellence that works with academic leaders in the field• Opportunities to learn and grow• A fun workplace, excellent benefits, and every other Friday off Who You Are: As part of the team, you work all phases of cutting edge cyber R&D efforts. You bring deep expertise in Machine Learning and Data Science to design, prototype, and perform experimental analysis of end-to-end solutions for Cyber Security and Cyber Warfare. Additionally you can:• Serve as a machine learning expert across multiple efforts• Design, develop, execute, and implement research projects• Work with experts across multiple disciplines• Apply scientific principles to solve complex problems• Manage project tasks for small groups• Contribute ideas and writing to proposals to secure new work• Co-author external publications• Interact with our customers and external partnersTypical Education & Experience Typically a Bachelor's Degree and 4 years work experience or equivalent experienceRequired Skills and Education Strong experience in at least one of the following areas:• Graphical models• Bayesian Networks,• Deep Learning,• Cyber Research• Natural Language Processing,• Pattern recognition,• Recommendation systems,• Targeting systems,• Ranking systems or similar.• Strong preference for those with experience in applying machine learning to network security problems.Experience with language such as Matlab, C++, and Python. Experience working with standard ML toolkits such as TensorFlow or Torch. Active SECRET clearance and above preferred.Preferred Skills and Education Capability in the following areas is desirable:• Cyber security experience and interest• Strong communication skills• Research background and interest• Cyber security and/or networking About BAE Systems Electronic Systems BAE Systems is a premier global defense and security company with approximately 90,000 employees delivering a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support and services.The Electronic Systems (ES) sector spans the commercial and defense electronics markets with a broad portfolio of mission-critical electronic systems, including flight and engine controls; electronic warfare and night vision systems; surveillance and reconnaissance sensors; secure networked communications equipment; geospatial imagery intelligence products and systems; mission management; and power-and energy-management systems. Headquartered in Nashua, New Hampshire, ES employs approximately 13,000 people globally, with engineering and manufacturing functions primarily in the United States, United Kingdom, and Israel. Equal Opportunity Employer/Females/Minorities/Veterans/Disabled/Sexual Orientation/Gender Identity/Gender Expression
## 150 Where good people build rewarding careers.\nThink that working in the insurance field can’t be exciting, rewarding and challenging? Think again. You’ll help us reinvent protection and retirement to improve customers’ lives. We’ll help you make an impact with our training and mentoring offerings. Here, you’ll have the opportunity to expand and apply your skills in ways you never thought possible. And you’ll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life.\n\n\nJob Description\n\nData Discovery and Decision Science (D3) is the research and analytics organization at Allstate. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver perfect insurance solutions to our customers. We are avid about learning and applying new tools and techniques to get the most value from our massive data resources. As a Senior Data Scientist in D3, you will get 10% of your time to innovate, work on your own initiatives, learn, collaborate, and teach. In partnership with technology and the business, we are incorporating analytics into every aspect of the enterprise. We are deeply committed to developing ourselves and others as a path to success.\n\nThis work will include the development and management of new machine learning and predictive modeling algorithms, along with utilizing natural language processing and natural language understanding techniques. You'll be involved with the coding and development of tools that guide business decisions; searching for and integrating new data that improves our modeling and machine learning results (and ultimately our decisions) and discovery of solutions to business problems that can be solved through the use of these techniques. You will also begin to manage projects.\nKey Responsibilities\nUses best practices to develop statistical, machine learning techniques to build models that address business needs.\nManages data and data requests to improve the accuracy of our data and decisions made from data analysis.\nUses and learns a wide variety of tools and languages to achieve results (e.g., R, SAS, Python, Hadoop).\nIdentifies languages and tools that can bring efficiencies or needed techniques to the team.\nWorks on data and business problems to drive improved business results through designing, building, and partnering to implement models.\nCollaborates the with team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling.\nUnderstands the business’ problems to identify the optimal modeling approach.\nCommunicates to team members, leadership and stakeholders on findings to ensure models are well understood and incorporated into business processes.\nUtilizes effective project planning techniques to break down moderately complex projects into tasks and ensure deadlines are kept\nWorks with leaders to ensure the project will meet their needs.\nThe development and execution of a communication strategy, with appropriate coaching, that keeps all relevant stakeholders informed and provides an opportunity to influence the direction of the work.\nReviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership.\n\nJob Qualifications\n\nDegree in a quantitative field such as statistics, mathematics, computer science, finance\nMaster’s or PhD preferred in a quantitative field such as statistics, mathematics, computer science, finance, or economics\nExperience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making\nExperience in managing and manipulating large, complex datasets\nExperience in working with statistical software such as SAS, SPSS, MatLab, R, CART, etc.\nUnderstanding of the Insurance market place; economics and regulation preferred\nAbility to code and develop prototypes in languages such as Python, Perl, Java, C\nKnowledge of advanced modeling technique\nAbility to analyze and interpret moderate to complex concepts \nAbility to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise\nDemonstrated analytic agility\n\nThe candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.\nGood Work. Good Life. Good Hands®. \nAs a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy.\nLearn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.\nAllstate generally does not sponsor individuals for employment-based visas for this position.\n\nEffective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. \nFor jobs in San Francisco, please click 'here' for information regarding the San Francisco Fair Chance Ordinance. \nFor jobs in Los Angeles, please click 'here' for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.\nIt is the policy of Allstate to employ the best qualified individuals available for all jobs without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity/gender expression, disability, and citizenship status as a veteran with a disability or veteran of the Vietnam Era.
## 151 Job Number: R0039762Data Scientist/Machine Learning Engineer, LeadThe Challenge:As large amounts of data are collected from diverse sources, such as social media, images, video, and sensor feeds, extracting patterns and drawing relationships across them can be challenging. You, however, know how to analyze these types of data, allowing analysts to draw conclusions from the patterns in the data and to ask hard questions, which previously there would have been no hope of answering. We’re looking for you, a data scientist, machine learning engineer, and artificial intelligence specialist who knows how to step back and understand the complex relationships between the business needs, the data, and modeling approaches.\nOn our team, you’ll have the opportunity to accelerate innovation in artificial intelligence by working with the military to develop innovative solutions that harness the best technologies to process vast amounts of data, for critical mission systems and decision making. You will apply knowledge of your particular field of specialization towards the assessment of program concepts, research and development activities, or emerging technologies. As a machine learning engineer, leadership and clients will look to your guidance to help them evaluate technical progress, identify risks, and recommend mitigation activities.\nDevelop and apply the latest innovations in machine learning, artificial intelligence, and related technologies. Lead and support research and development efforts to explore the applicability of emerging machine learning and artificial intelligence methods to address client challenges and identify and prioritize emerging methods and challenges for original research or proof of concepts. Lead and support efforts to identify, shape, capture, and deliver data science, machine learning, and artificial intelligence contracts for clients, including the DoD. Shape external client strategies, technology roadmaps, implementation plans, and research initiatives to integrate data science, machine learning, and artificial intelligence in support of client missions. Help identify, recruit, lead, and develop a world-class team of data scientists, data engineers, machine learning engineers, and artificial intelligence specialists.\nEmpower change with us.\nBuild Your Career:At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect:access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk\na chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition\nparticipation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government\nYou’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want, as you chart your own course for success.\nYou Have:-7+ years of experience with analytics, big data, data science, machine learning, or artificial intelligence serving in technical delivery roles, including as a data scientist, developer, architect, engineer, mathematician, statistician, or machine learning specialist-5+ years of experience with leading or managing delivery teams, projects, development efforts, research efforts, or similar-3+ years of experience with programming, including in machine learning frameworks, such as TensorFlow, Keras, PyTorch, Caffe, and MXNET-3+ years of experience with business development, client or customer relationship management, proposal development, or similar, including grant application-Experience with traditional and Agile framework project management approaches and constructs-Experience with developing effective delivery or research teams, including recruiting, hiring, mentoring, coaching, and managing team members-Experience with authoring white papers, peer-reviewed articles, or other relevant technical content-Ability to effectively communicate results to both technical and non-technical audiences, including presenting to senior executives, industry conferences, technical seminars, meet-ups, or similar-Ability to obtain a security clearance-BA or BS degree in Statistics, Machine Learning, Mathematics, CS, Computer Engineering, Industrial Engineering, or Operations Research\nNice If You Have:-Experience with machine learning techniques and their application, including deep learning, such as CNN, RNN, or transfer learning, NLP, gradient-boosted trees, Neural Machine Translation (NMT), and reinforcement learning-Ability to provide a public Github repository, Blog, or Kaggle account showcasing machine learning models developed-Active Secret or higher clearance-MS degree in Science, Engineering, Mathematics, or related field preferred; PhD degree a plus\nClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.SIG2017
## 152 Exciting new opportunity for Data Scientist! New opportunity available in Boston for an AWS Data Scientinst!AWS Data Scientists are employees who solve big data problems through analysis of data. Data Scientists utilize machine learning tools as well as dealing with artificial intelligence. Data Scientists are crucial parts of any company, as they analyze information to better help the organizations so that they can accurately plan for the future.the behavior of data using Hadoop. You must be able to handle large scale databases, and be able to analyze the patterns of data to make accurate business decisions.SkillsStrong decision making in terms of data analysis, and the ability to architect big data.Machine learning is very important, it will provide the architect with an advantage to handle the large analysis needs.Knowledge and experience with Hadoop, EMR S3 EC2 RedshiftExperience with Data Warehousing and miningThis job will offer the chosen candidate the opportunity to increase their level of experience working with AWS, with a specific focus on Data Pipelines. The ideal candidate will be able to translate this experience to other Big Data engineering challenges throughout their career! Jefferson FrankOur client is looking for a AWS data scientist for an exciting contract opportunityMust have experience with S3, EC2, Redshift, and EMRLanguages- Python, JavaProven experience with Data PipelinesOpportunity type- ContractIf you or someone you know is interested in this position, please send your resume directly to [Click Here to Email Your Resumé] or call 212-731-8282 Ext (3137). Ask for Joseph Wolf! My client is looking to start the interview process as soon as possible. Jefferson Frank is the Amazon Web Services (AWS) recruiter of choice. We work with organizations worldwide to find and deliver the best AWS professionals on the planet. Backed by private equity firm TPG Growth, we have a proven track record servicing the AWS permanent and contract recruitment market and, to date, have worked with over 30,000 organizations globally from our offices in North America, Europe, and Asia-Pacific. At Jefferson Frank, our mission is simple: we want happy customers. Whether you're an AWS professional walking into your dream AWS job, or an organization hiring an incredible contractor for your cloud migration project, our goal is to deliver an unrivalled customer experience. Work with us and you'll get the personalized experience you deserve - one you'll simply not find at any other recruitment agency. At Jefferson Frank, we find great people great jobs in AWS. I understand the need for discretion and would welcome the opportunity to speak to any Big Data and cloud analytics candidates that are considering a new career or job either now or in the future. Confidentiality is of the upmost importance. For more information on available AWS Big Data Jobs as well as the cloud market, I can be contacted at 212-731-8282 ext (3137). Please see www.jeffersonfrank.com for more information.
## 153 Job Number: R0040492Data Science/Operations Research Analyst, MidKey Role:Apply operations research and data science techniques across a wide range of military problems, including acquisition, personnel, operations, and strategic planning. Explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights. Provide modeling and simulation support. Define problems, build models, identify performance measures, and perform gap and root cause analyses. Develop and implement machine learning, data mining, and statistical and graph-based algorithms to solve large-scale, complex, and challenging problems across the DoD. Leverage analytical and technical expertise, including operations research, engineering, mathematics, statistics, and computer science.\nBasic Qualifications:-Experience with programming languages, including Java, C++, C#, VBA, and Python-Experience with statistical analysis, including descriptive and inferential statistics, probability theory, predictive modeling, data sampling, and a variety of statistical tests and procedures-Secret clearance required-BS degree in Operations Research, Management Science, Applied Mathematics, Statistics, Engineering, or CS\nAdditional Qualifications:-Knowledge of DoD, DON, and USMC Planning, Programming, Budgeting, and Execution (PPBE) processes-Knowledge of authoritative DoD, DON, and USMC databases-Possession of excellent oral and written communication skills\nClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.
## 154 Senior Data Scientist\nWe are seeking people who are passionate about data and applying the latest machine learning technology to solve business problems. As a senior member on the Data Science team, you will be responsible for designing building the tools that move the company along its digital destination. The Data Scientist will utilize vast amounts of data to help develop a better understanding of underwriting risks, reduce the volatility of claims and build common platforms across the various business units. You be hands on in the development of deep learning models for data extraction, mobile app deployment and dashboards to drive smart decisions. \n\n\n\nThere are a large number of projects in underwriting, security, claims, marketing and online areas. Successful candidates combine their in-depth understanding of each projects business outcome, strategic alignment, user impact, technical feasibility and resource requirements to prioritize and optimize team efforts. \nYou will help to design and manage programs to teach areas of the business new analytical tools, techniques, and visualizations, and to reinforce the idea that data is our strongest asset. Published work / prior teaching experience is a plus.\nOur team functions as an internal consultancy; you will need to develop strong working relationships between many different departments. As such, we look for the ability to positively represent your Data Science team, interact and provide direction to members at all levels and departments, and be able to speak to what is new and upcoming in our field.\n\nJob Requirements\n\nWhat experience we are looking for\n\nInfrastructure/Design:\nExperience setting up data warehousing solutions and associated pipelines for internal/external sources, including ETL tools. o Experiment design and related project management skills. Your documentation could often be the foundation for departmental training.\nData Munging:\nStrong experience with data munging in SQL and NoSQL environments for both structured and unstructured data. o Experience working with RDBMS and distributed technologies (e.g. Spark, MapReduce, Hive, or Pig).\nExperience sourcing and merging additional external sources of data.\nModel Development and Deployment:\nA strong history working throughout the complete lifecycle (from idea to execution) for machine learning in Python or R. This would include parametric and nonparametric modeling for supervised and unsupervised solutions. (( NOTE )) PYTHON is preferred and the company will be doing short programming tests in PYTHON \nA strong understanding in the different ML techniques and variable reduction approaches as well as parameter and hyper-parameter tuning.\nVisualization experience in dashboards (Tableau) and web apps (R Shiny).\nStrong coding skills are paramount here. You will need the ability to script and program to mine data, automate tasks, etc. (Python, bash, sh). \n\nEducation/Experience:\nMasters in statistics or related field, PhDs or a record of accomplishment of continued learning is preferred.\n7+ years of technical experience with the above qualifications. o Experience with medical malpractice, workers compensation, or other low frequency, high-severity industries is preferred, but not required. Experience with dirty medical data also preferred. o A history of leading junior team members.
## 155 Job Number: R0029058Computer Science Data ScientistThe Challenge:Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.\nWe have an opportunity for you to use your analytical skills to improve the military operations community. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help military leaders make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the military operations community.Empower change with us.\nBuild Your Career:At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect:access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk\na chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition\nparticipation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government\nYou’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want, as you chart your own course for success.\nYou Have:-2+ years of experience as a data scientist-Experience with building statistical models and developing machine learning algorithms-Experience with managing data scientist team-Experience with programming languages, Python, R, Scala, or Java-Experience with Big Data technologies, HDFS, Hadoop, or Spark-Experience with deep learning paradigms and frameworks-Experience with manipulating data and ETL in parallel processing and distributed compute environments-Experience with designing and executing machine learning models and applications-TS/SCI clearance-BA or BS degree\nNice If You Have:-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-1+ years of experience as a developer of Java, Python, R, or similar high-level languages-1+ years of experience with designing novel data analytic methods and workflows, including full data pipelines from raw data through analysis results-Experience in working with Big Data storage, processing, and computation, including one or more of Accumulo, Spark, Storm, Kafka, and MapReduce-Ability to both manage and manipulate large data sets, develop data science approaches, and manage data science tasks-Ability to leverage a wide variety of data science capabilities and languages-Ability to exhibit flexibility, initiative, and innovation when dealing with ambiguous and fast-paced situations\nClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.CB13, CJ1, SIG2017
## 156 JOB DESCRIPTION: "Job DutiesDesigning, building and implementing AI business solutions.\nWork as an independent yet integral member of a team to develop innovative and creative AI Chatbot and Machine Learning applications.\nDevelop and maintain high quality Python code.\nBuilding and implementing architecture roadmaps for next generation Artificial Intelligence\nArchitect modern Artificial Intelligence solutions using virtual agents, visual analytics, deep learning\nActively participate in related Artificial Intelligence communities and technology forums\nEducate our people in AI-related topics and broaden our AI knowledge Qualifications\nA minimum of 5 years of relevant experience in Computer Science, Statistics, Machine Learning & Artificial Intelligence, Physics, Mathematics, Computational Chemistry, Bioinformatics, Computational Biology or a related discipline is required.\nStrong working knowledge of Machine Learning Algorithms such as Random Forest, SVM, neural networks, etc. and/or Natural Language Processing techniques is required.\n3 to 4 years AI work experience. Development experience in AI - NLTK, Rasa Core and TensorFlow\nFamiliarity with large datasets, understanding of data analysis workflows, and/or knowledge of querying languages such as SQL is required.\nProficient with one or more programming language such as Python, R, C++, or Java is required.\nExperience with modeling software using Python, Django and No SQL DB\nHands on experience using software engineering tools: Source code management, branching tools, code complexity analyzers, code coverage products, static and dynamic code analysis, memory mapping/tracing tools\nHandling of Financial Services related aplications such as Chat Bots.\nExperience delivering on data science projects using predictive technologies, data mining and/or text mining is preferred."
## 157 I am working with a premier Data Science Consulting firm in NYC that is looking to bring on experienced full-time, permanent Data Scientists to continue to grow their successful practice. They are working with very reputable clients on high level Machine Learning projects utilizing the newest technologies.There is NO travel for the role, Benefits include:*Competitive salary + Bonus*Unlimited Paid Time Off!*Opportunity to work from home when needed*401(k) with company match up to 7%*100% medical benefits paid for the by the client*Real opportunity to move up within the company!
## 158 PopHealthCare is currently seeking a Full-time Data Scientist. This position is based in our corporate office located in Franklin, TN. At PopHealthCare, our mission is simple – help higher risk individuals live healthier lives (www.pophealthcare.com). We are bold innovators, dedicated to making a difference and we hire wicked smart people! We need sharp and nimble people to join our growing team!\nJob Summary: As a Data Scientist, you will be part of a team responsible for creating solutions. You will meet frequently with business owners and clients to discuss needs and effectively communicate technical solutions at a business and technical levels. This team will provide analytical services and solutions to the organization's decision-making process, corporate performance management, and clients. You will be responsible for developing and implementing solutions using machine learning tools, statistical data analytics and provide input on the design and development of data warehouses, data marts, and operational data stores. You will work in design, maintenance, and completion of highly visible projects creating efficient solutions with the goal of ultimately improve patient access to the care they need. You will design, run and maintain a library mining models, tools, workflows and reports to support operational departments regarding medical costs, utilization, provider performance and patient outcomes.\nEssential Job Functions:\nData Scientist with expertise in machine learning, statistical data analytics, open source and proprietary tools and applications. Must have an excellent knowledge of advanced methods, and experience in applying those methods to a variety of applications related to health care\nEstablish and implement end to end proof of concept for data analyses across functional areas\nCreate innovative methodologies for data\nBuild proof of concept systems\nEstablish strategic partnerships with technical leadership across functional areas\nPresenting to senior leadership as well external audience\nDemonstrates the ability to create new and different solutions that align to real work problems and opportunities\nDevelop, maintain and support Business Intelligence (BI) activities\nIdentify and facilitate implementation of improvement opportunities\nFacilitate requirements gathering from non-technical business personnel and suggest efficient reporting solutions based on requirements\nDocument business requirements in the form of specifications (business and technical specifications)\nWork independently and provide appropriate recommendations for optimal analysis and development\nPerform other job-related duties as assigned\n\n\nJob Requirements\n\nPosition Requirements:\nBachelor's degree in Computer Science, Management Information Systems, Statistics, Healthcare Administration or other related field\n1-3 years hands on experience in machine learning\nCommand of principles of machine learning, statistical analysis, data mining algorithms, and mathematical segmentation and modeling\nDemonstrated ability to use knowledge of current techniques, and develop new methodologies\n1+ years of experience in the healthcare industry\nProven ability and experience in design and development of solutions for increasing yield\nProven analytical skills and experience in handling large volume of data\nExperience in dealing with imperfections in data\nExperience in implementing Data Visualization solutions\nWorking knowledge in statistical programming languages, ‘R’ or Python\n\nPopHealthCare is an equal opportunity/equal access employer fully committed to achieving a diverse workforce.\nLocal applicants only please apply, no telecommuting offered for this role.
## 159 Lake Trust’s Business Intelligence team is a cornerstone to achieve future business objectives. This team will be primarily responsible for supporting the Business Intelligence & Analytics objectives of Lake Trust Credit Union. We are seeking a Data Scientist to develop solutions to solve real world financial problems. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools which will influence both our products and members.\n\nWhat You’ll Do\nExecute the full cycle of analytics projects, including:\nData discovery, data preparation and blending, and data visualization\nUtilize software tools such as Microsoft SQL Server, Alteryx Designer and Microsoft PowerBI\nResearch and develop statistical learning models for data analysis\nOperationalize common models such as:\nSVMs\nNaïve-Bayes Classifiers \nLogistic and Linear Regressions\nK Means Clustering\nRandom Forest Classifier\nCollaborate with business partners and data engineers to understand company needs and devise possible solutions\nBuild and maintain effective and collaborative relationships with a diverse range of staff\nPerform other duties and responsibilities as required or assigned\n\nWhat You'll Get\nWe know that pay and benefits are important. And, we've really got that covered. But, we also know that those are not the only things that you need to decide if this is the place for you. Join our team of Lake Trusters and you'll enjoy:\nWorking with an energetic team focused on making our members wildly successful\nAn opportunity to work with others that have your back every step of the way\nOpportunities to make a difference both inside and outside of our walls\nBeing treated like you are more than the work you do.\n\nJob Requirements\n\n What You’ll Bring\n\nBachelors of Data Analytics, Computer Science, Information Technology or similar degree program\nRequires 5+ years’ practical experience with ETL, data processing, database programing, and Analytics\nExtensive background in data mining and statistical analysis\nAble to understand various data structures and modeling techniques\nExcellent pattering recognition and predictive modeling skills\nExperience with programming languages such as R / Python\n\nKNOWLEDGE, SKILLS AND ABILITIES\nPassionate about data and analytics\nHigh attention to data accuracy\nAbility to work in an agile team\nCritical thinking to ask questions, determine best course and offer solutions\nComplete work independently\nAct as a change agent\nContinuous improvement mindset\nAbility to understand the big picture\nEffective analytical and decision-making skills\nStrong interpersonal skills to build relationships and communicate effectively with managers, staff, and vendors\nStrong written and verbal communication skills\nTeamwork skills within the department and on project teams\nDemonstrated ability to work effectively in a fast-paced, complex, and dynamic business environment\nEffectively provide open and honest feedback via performance reviews and 1-1 conversation
## 160 Anthem, Inc. is the nation's leading health benefits company serving the needs of approximately 40 million medical members nationwide.Your Talent. Our Vision. At Anthem, Inc., it’s a powerful combination, and the foundation upon which we’re creating greater care for our members, greater value for our customers, and greater health for our communities. Join us and together we will drive the future of health care. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. We are looking for a talented individual that is detail oriented, has strong ownership for the work they do, displays intellectual curiosity and a strive to continuously make things better, to join us at our Richmond, VA location. This is not a remote role. Primary duties may include, but are not limited to: Creates and maintains operational process in SQL, SAS, Teradata and HADOOP to access data and identify members for various Care Management programs. Creates and maintains documentation supporting operational processes and change requests to operational processes. Works with business partners to understand business need and to translate those needs into an Operational Process. Makes recommendations and influence customers decisions based upon data analysis. Ensures exceptional quality and operational excellence with all deliverables. Creates, checks and distributes quality reports in support of operational processes. Researches questions and issues associated with our Operational processes. Provides analytic consultation to business areas, adjacent teams, leadership and internal customers. Makes recommendations and influence customers decisions based upon data analysis. \nJob Requirements\n\nRequires Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, cognitive science, economics, or operations research; 3-5 years direct experience programming large, multi-source datasets with SAS required. 3-5 years in health care setting; or any combination of education and experience, which would provide an equivalent background. PhD preferred. Intermediate to Advanced expertise with software such as SAS Stat, SAS ETS, SAS Enterprise Miner or equivalents. Experience with Teradata, SQL, SQL Server, or equivalent. Proven ability to design modeling studies. Experience with data models, addressing data quality issues in study design, constructing robust and efficient analytical data sets. Significant experience in healthcare related field strongly preferred. Proven ability to present meaningful results to a business audience. Ability to participate collaboratively in a team tasked to produce complex analyses on a rigorous schedule. Strong written and verbal communications skills and the ability to present to large multi-disciplinary audiences on a regular basis. Advanced knowledge of SQL or Teradata required SAS knowledge highly preferred Intermediate to advanced Excel Skills Knowledge and use of Big Data Tools (e.g. Hadoop, HIVE, Python) preferred An Equal Opportunity Employer/Disability/Veteran
## 161 Why VITAS Healthcare and What Do They Offer Me?VITAS Healthcare is the nation’s leading provider of end of life care. We provide our employees opportunities for professional growth, advancement and competitive benefits. Responsible for the ongoing preparation and analysis of operational data, including coordination of data receipt and validation of data quality across locations and departments.Maintains monthly dashboards of key operational performance indicators, incorporating data from multiple internal and external sources\nExecutes governance processes around key operational metrics\nCoordinates receipt of data from field locations\nValidates quality of data submitted by field locations, and works with field locations to resolve any data quality errors in a timely manner\nExecutes established data processing routines\nPerforms ad-hoc analyses\nRecommends solutions based upon analyses performed\nDevelops and maintains strong working knowledge of Vitas systems and applications. \nBenefits IncludeCompetitive compensation\nHealth, dental, vision, life and disability insurance\nPre-tax healthcare and dependent care flexible spending accounts\nLife insurance\n401(k) plan with numerous investment options and generous company match\nCancer and/or critical illness benefit\nTuition Reimbursement\nPaid Time Off\nEmployee Assistance Program\nLegal Insurance\nRoadside Assistance\nAffinity Program\n\n\nQualifications\n\nOne to three years business and/or data analysis experience\nMust possess the ability to work on various assignments simultaneously\nStrong skills in Microsoft Excel and PowerPoint\nMust possess the ability to coordinate the work of others and work with all levels of management\nMust possess strong interpersonal, written and verbal communication skills \nMust possess technical and professional skills in operational and data analysis\nMust possess project management skills.\n\nEducation\n\nBachelor’s degree in business administration, information systems, computer science, statistics, mathematics or related field from an accredited college or university or the international equivalent required.\n\nSpecial Instructions to Candidates\n\nEOE/AAM/F/D/
## 162 Where good people build rewarding careers.\nThink that working in the insurance field can’t be exciting, rewarding and challenging? Think again. You’ll help us reinvent protection and retirement to improve customers’ lives. We’ll help you make an impact with our training and mentoring offerings. Here, you’ll have the opportunity to expand and apply your skills in ways you never thought possible. And you’ll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life.\n\n\nJob Description\n\nArity\nArity is a new technology company that uses advanced predictive analytics to help partners evaluate risk and make sense of everyday experiences. Our proprietary algorithms analyze billions of data points, distilling the flood of information into simple, actionable insights. Chief among these is the Arity Driving Score, which models billions of miles of driving and claims data to assess risk, gauging each driver’s likelihood of an event.\n\nFounded by The Allstate Corporation, an organization synonymous with protection and preparation, Arity is born from a long-standing commitment to deep customer understanding and future-focused innovation. Fueled by the curiosity of a startup, our expertise begins with connected car, providing applied insights that meet insurer and transportation/mobility company needs and enhance driver safety, connectivity and value.\n\nDon’t miss this opportunity to join a team where your innovative thinking and technology skills can improve the safety of those on the road and further enhance the car-ownership experience.\n\nThe TeamData Science incorporates techniques across many disciplines – including mathematics/statistics, computer programming, data engineering and ETL, software development, and high performance computing – with traditional business expertise with the goal of extracting meaning from data to optimize future business decisions. Individuals in this field should be an expert/fluent in several of these disciplines and sufficiently proficient in others to effectively design, build, and deliver end to end predictive analytics products to optimize future decisions. Individual demonstrates sufficient analytic agility to quickly develop new skills across these disciplines as those disciplines evolve. Arity Data Science and Analytics is responsible for aligning with and contributing to corporate objectives by identifying and developing growth and profitability opportunities that will enable Arity to generate profitable market share growth. The Data Scientist family is accountable for using data to make decisions, which includes building predictive models and developing new machine learning techniques that enable Arity to make better decisions to achieve its goals. The Data Scientist Family requires Analytic Agility, the ability to quickly learn new modeling/machine learning techniques, programming languages, and see how these ideas can integrate to optimize the business.\n\nThe Role\nThis role is responsible for leading the use of data to make decisions. This includes the development and management of new machine learning predictive modeling algorithms; the coding\\development of tools that use machine learning/predictive modeling to make business decisions; searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions); and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. As an ideal candidate, you appreciate the difference between fitting and implementing statistical models, the importance of good metrics, and the significance of large-volume high-quality data. You can perceive common structure between superficially unrelated problems, and can use this to build tools, algorithms, and products of high value. This role will also begin to manage projects of medium complexity.\n\n\nKey Responsibilities\n\n\nUses best practices to develop statistical, machine learning techniques to build models that address business needs\nManages data and data requests to improve the accuracy of our data and decisions made from data analysis\nUses and learns a wide variety of tools and languages to achieve results (e.g., R, SAS, Python, Hadoop)\nIdentifies languages and tools that can bring efficiencies or needed techniques to the team\nWorks on data and business problems to drive improved business results through designing, building, and partnering to implement models\nCollaborates the with team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling\nUnderstands the business’ problems to identify the optimal modeling approach\nCommunicates to team members, leadership and stakeholders on findings to ensure models are well understood and incorporated into business processes\nUtilizes effective project planning techniques to break down moderately complex projects into tasks and ensure deadlines are kept\nWorks with leaders to ensure the project will meet their needs\nThe development and execution of a communication strategy, with appropriate coaching, that keeps all relevant stakeholders informed and provides an opportunity to influence the direction of the work\nReviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership\nLeads and participates in peer reviews, code reviews and other department activities\n\n\nKnowledge/Skills/Abilities/Experience\n\nRequired:\nDegree in a quantitative field such as statistics, mathematics, computer science, finance or related discipline\nExperience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making\nExperience in managing and manipulating large, complex datasets\nExperience in working with statistical software such as SAS, SPSS, MatLab, R, CART, etc.\nAbility to code and develop prototypes in languages such as Python, Perl, Java, C\nKnowledge of advanced modeling technique\nAbility to analyze and interpret moderate to complex concepts \nAbility to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise\nDemonstrated analytic agility\n\nGood to have:\nMaster’s or PhD preferred in a quantitative field such as statistics, mathematics, computer science, finance, or economics\nUnderstanding of the Insurance market place; economics and regulation preferred\nExperience working with mobile sensor data\nExperience working with Spark, HDFS, MapReduce\nExperience working through end to end life cycle from data acquisition, model building through to deploying, monitoring and revising models in a production setting\n\nGood Work. Good Life. Good Hands®. \nAs a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy.\nLearn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.\nAllstate generally does not sponsor individuals for employment-based visas for this position.\n\nEffective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. \nFor jobs in San Francisco, please click 'here' for information regarding the San Francisco Fair Chance Ordinance. \nFor jobs in Los Angeles, please click 'here' for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.\nIt is the policy of Allstate to employ the best qualified individuals available for all jobs without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity/gender expression, disability, and citizenship status as a veteran with a disability or veteran of the Vietnam Era.\nABC
## 163 BravoTECH, a leader in IT staffing and staff augmentation services, seeks Senior Data Scientist for our preferred client in their Houston, TX location. The qualified candidate will possess 5+ years of experience. \n\nDescription:\nSenior Data Scientist analyzes complex and unstructured data using state-of-the-art data science methods for data driven decision making. This role uses knowledge of data science methods and applies analytics to solve real world problems. Develop applications, collaborate actively across the organization and with senior management to accomplish various objectives. \n\nResponsibilities for this Position Include:\n· Apply advanced data science concepts to deliver data driven digital offerings and insights\n· Utilize knowledge of modern data driven methods and domain understanding to support the creation of new product and services\n· Collaborate with digital team and with other departments such as digital, services, class, engineering, etc. to develop digital products in the areas such as maintenance services improvement, event prediction\n· Write independent source code, validate and test for model quality assessment and improvement\n· Knowledge of data architectures and database design\n· Experienced in applying system identification methods like Kalman filters, particle filters, etc. to real world problems\n· Knowledge and applied experience in machine learning and artificial intelligence methods\n· Develop data collection efforts for data quality improvement, in both existing and new data streams to support overall business goals\n\nJob Requirements\n\n\nMaster’s Degree in Data Science, Business, Computer Science or other relevant field\n5+ years of relevant experience in data / analytics\nExperienced in System Identification, Machine Learning and other data science technologies like Artificial Intelligence, Risk Analysis and Statistical methods\nSpecialties in utilizing data in developing physics-based and time-series models\nExperience with Python, Matlab, R, or similar\nExperience using database architectures such as SQL, NoSQL, or similar\nFamiliarity with distributed storage and processing for Big Data (e.g. Hadoop or similar)
## 164 Biostatistician. Our Tucson, AZ client is currently seeking a Biostatistician for a contract role providing statistical support to development and clinical research projects; interacts with research personnel to ascertain needs and develops appropriate design and statistical solutions. Writes data analysis plans (DAPs) and statistical reports for use by internal and external customers. ESSENTIAL FUNCTIONS: Interacts with development and clinical investigators to designs clinical trials with appropriate statistical methods and adequate sample size for statistical justification of clinical utility claims.\nWrites data analysis plans as needed to capture design elements and statistical methodology.\nPerforms data analysis and prepares statistical reports of results.\nPerforms Quality Control (QC) for statistical analyses by other biostatisticians to ensure analysis quality.\nConducts randomization and blinding of samples.\nDevelops data entry spreadsheets as needed.\nEvaluates databases and statistical analysis programs and interacts with computer groups to determine hardware/software compatibility.\nMaintains expertise in state-of-the-art data manipulation and statistical analyses.\nManages technical aspects of project(s), as assigned.\nMonitors work to ensure quality, and continuously promote Quality First Time.\nKNOWLEDGE, SKILLS & ABILITIES:Knowledge in FDA guidelines for in vitro diagnostic devices and the required statistical basis for sensitivity, specificity, agreement rates, and reproducibility testing required for validation and FDA clearance and approval.\nStrong ability to collaborate across departments and interact with various levels in the organization.\nHigh attention to detail with skill in producing organized reports.\nAbility to write statistical code and documentation.\nAbility to work in a team-focused environment is essential, as all statistical analyses under design control require both lead statistical analysis and quality control (QC), each conducted by different individuals who must coordinate activities.\nMaster's degree in related field with 3 years of relevant experience, or PhD in field.\nSignificant experience in analysis and reporting using statistical software required.\nExperience with SAS preferred.\nDesign of Experiments (DOE) experience preferred.\nExperience in FDA submissions and in vitro diagnostic tests preferred.\nTo view all our open positions, please go to: http://www.jobs.net/jobs/fastswitch/en-us/all-jobs/
## 165 POSITION SUMMARYSupports the Client Engagement Center (CEC) in driving continuous improvement projects across all CEC operational processes, functions, tools and technologies. Strives to improve continuously the O&M customer experience while improving CEC effectiveness and efficiency and reducing costs. ESSENTIAL JOB FUNCTIONS: 1. Leads data collection and analysis to monitor CEC Key Performance Indicators and metrics.2. Conducts data mining across multiple internal systems and tools to identify trends and patterns that are actionable; performs ad-hoc data mining and analysis based on leadership requests.3. Develops business cases to define and drive process improvement projects and supports analysis for Continuous Improvement (CI) projects, as needed.4. Creates and documents process flows; partners with the Process Council and GPLs to revise existing flows to reflect changes driven by projects led by CI team.5. Executes selected process improvement projects: works with CEC managers to identify improvement needs and manage CI project timelines; acts as a change agent to drive project implementation; helps deliver training programs.6. Acts as a key player in implementing any overall O&M CI projects in the CEC; collaborates directly with other CEC, Home Office and Field Teammates to execute improvement projects (i.e. client engagement team, purchasing support, and finance operations, sales, etc.).7. Collects and analyzes data to drive metrics monitoring financial savings, then compares metrics to established goals and targets giving CI Leadership a solid understanding of financial viability of CI initiatives.8. Develops and maintains SharePoint site or other document-sharing tool for all CI projects and works with CI team to keep current.9. Elicits and documents business requirements as required for both process and technology changes.10. Identifies, analyzes and/or supports planning and execution of improvement opportunities.11. Recommends technology enablement opportunities.SUPPLEMENTAL JOB FUNCTIONS: 1. Performs additional duties as directed. Qualifications\nEDUCATION & EXPERIENCE REQUIRED: \nFour year university degree required in science, engineering, management, or a related discipline; Master's Degree preferred\nTwo or more years of experience in data analysis/project management\nTwo or more years of experience in process improvement projects\nOr any combination of education and experience to meet the above requirements\nLife Sciences / Healthcare experience a plus\nGood understanding of data analytics tools and other tools like salesforce.com, business intelligence, etc.\nContinuous-improvement certification preferred; project management certification preferred\nKey experience focus areas include: Shared Services, Global Business Services, Change Management, Continuous Improvement, Process Optimization, Operations, Financial Ops, and Customer Service \nKNOWLEDGE SKILLS & ABILITIES: Flexible and capable to multi-task in a changing environment\nStrong ability to anticipate future needs of the organization\nManages time and resources effectively through strong organization, multi-tasking, delegation, time management and project management skills\nStrong interpersonal skills \nStrong verbal and written communication skills\nStrong analytical skills\nDetailed oriented\nMS Excel and Access Expertise\nAbility to work independently and as part of a team to seek issue resolution and solve problems\nPC/Systems skills & knowledge: MS Office required; data analysis tools, business objects, basic SQL; Salesforce.com experience preferred\nProcess improvement oriented\nADDITIONAL REQUIREMENTS: Minimal travel outside of Richmond anticipated\nAbility to work various shifts or occasional overtime hours
## 166 Job Description Looking to develop innovative algorithm and software solutions for challenging real-world problems in entrepreneurial, collaborative, agile, multidisciplinary teams focused on advancing the state-of-the-art? You’ve found the right place!BAE Systems is looking for a Research Scientist to join their Special Activity Exploitation (SAX) research group. SAX is part of BAE Systems’ FAST Labs division which is heavily involved in advanced research concepts primarily from the various government research labs and organizations, including DARPA and IARPA. Members of the group are involved in the entire cycle of research development, from the initial concept ideation and program shaping with potential customers and new business pursuits through the execution and transition of research concepts to BAE Systems’ business areas and products. Most programs involve small teams of principal engineers and academically strong assistant researchers. The SAX directorate is a cutting-edge, multidisciplinary research and engineering organization that is the FAST Labs lead for invention and application of innovative machine learning, control, and optimization approaches to learn patterns of behavior from a wide range of data sources, including real-time sensor feeds. Exploitation uses of these behavioral models include anomaly and change detection, prediction of future behavior, and recognition of complex events and activities. Applications of our technology include terrestrial, maritime, and space domains over a range of sensing modalities (e.g., radar, full motion video, radio communication) spanning the technology readiness spectrum from basic research through fielded operational systems. Our cutting edge projects and opportunities advance the frontiers of science as well as contributing to practical systems that solve real problems. We are seeking a highly creative Research Scientist to contribute to the development of advanced algorithms and systems in diverse research areas applying machine learning, probabilistic reasoning, adaptive control, and/or optimization to cutting edge problems such as learning normal behavior patterns of tracked entities (e.g., dismounts, vehicles, vessels, aircraft, satellites, software-defined radios, cyber system users and hosts) to detect anomalous activity or changes in patterns, predict future behavior, or provide advance warning of impending threats to friendly assets. You must be highly motivated, have solid problem-solving abilities, and be willing to perform a wide variety of related tasks.You must be a team player with a proactive attitude and the capacity to be creative and productive in a dynamic, fast-paced environment. You must have strong writing and general communication skills, and strong presentation skills are a definite plus. You may participate in meetings with customers, co-contractors, and/or sub-contractors. Some travel may be required to support customer or collaborator meetings, software integration and testing, and/or capability demonstrations.Our ideal Research Scientist is a strong entrepreneur who can develop novel adaptive incremental data-driven model learning and exploitation algorithms, present those ideas to colleagues and customers, write winning proposals, and then execute projects when awarded. You must have a desire to create and/or sustain lines of research by participating in proposal writing and other marketing efforts with research funding agencies such as DARPA. Typically our project workflow involves: (1) researching solutions developed in-house or published in scientific literature to determine applicability and identify strengths and weaknesses; (2) creating prototypes (typically in MATLAB) to support demonstration and evaluation of key algorithmic ideas on (often real) data; and (3) developing robust, real-time implementations suitable for target hardware/software environments. You must be able to: (1) provide research and technical leadership as well as hands-on algorithm design, implementation, and evaluation; (2) quickly adapt to changing requirements; and (3) be involved in all workflow stages. Ultimately, you would be leading a team of dedicated research, software, and system engineers to execute your vision of the program you developed!As a successful candidate, you: (a) will participate in small teams of research, software, and (potentially) systems engineers that may include members from collaborating universities, other companies, and customer organizations; and (b) will interact directly with customers to participate in design reviews, support integration, testing, and demonstration, and/or produce clear, user-friendly documentation. Solid general written and oral communication skills are critical to your professional success in this role.Typical Education & Experience Typically a Bachelor's Degree and 6 years work experience or equivalent experienceRequired Skills and Education Required education: Doctorate in Computer Science or Engineering-related discipline with or without professional experience (specialization in Machine Learning, Statistics, Computational Neuroscience, and/or Controls and Optimization particularly valuable); Masters degree with 4+ years professional experience; Bachelors Degree with 6+ years experience- An active US Secret clearance is required, a TS/SCI clearance is preferred. - Experience leading exploratory research and development efforts including monitoring and guidance of team member activities- Solid experience presenting to technical audiences- Track record of experience demonstrating detailed knowledge (including understanding of strengths and weaknesses of various approaches), application, analysis, and development in at least one of machine learning, probabilistic reasoning, adaptive control, and/or optimization- Solid analytic and project and personnel leadership skills- Strong writing and presentation skills sufficient to support: (a) creation and sustainment of lines of research through marketing via direct interaction with customers and proposal writing; and (b) publication of research results in professional, peer-reviewed journals and technical conferences- MATLAB proficiency to perform: (1) rapid design, prototyping, analysis, and simulation of, and experimentation with, advanced algorithms and applications; and (2) data analysis- Equally effective communication with lifelong academics, government customers, and professional engineers Preferred Skills and Education - An Active TS/SCI Clearance- Supervision/mentorship of junior staff- Demonstrated experience in formulating and carrying out research agendas- Record of publications will be viewed favorably About BAE Systems Electronic Systems BAE Systems is a premier global defense and security company with approximately 90,000 employees delivering a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support and services.The Electronic Systems (ES) sector spans the commercial and defense electronics markets with a broad portfolio of mission-critical electronic systems, including flight and engine controls; electronic warfare and night vision systems; surveillance and reconnaissance sensors; secure networked communications equipment; geospatial imagery intelligence products and systems; mission management; and power-and energy-management systems. Headquartered in Nashua, New Hampshire, ES employs approximately 13,000 people globally, with engineering and manufacturing functions primarily in the United States, United Kingdom, and Israel. Equal Opportunity Employer/Females/Minorities/Veterans/Disabled/Sexual Orientation/Gender Identity/Gender Expression
## 167 What you will do: Analyze retail data from varied and desperate sources for trends, predictions, and forecasts. Help our retail customers make sense of the massive amount of data across their Video, POS, traffic counters, inventory records, loss prevention alarms, review sites, online properties, social media, weather, and other sources. Provide ideas to front-end teams of how to visualize and communicate the data’s findings to our customer. Deploy models and create services for their consumption by our application teams. How you will do it: (Individual and team management responsibilities)• Design and build machine learning systems that solve difficult problems involving big data/information retrieval/recommendation systems• Ability to technically lead and guide a team of machine learning experts• Provide creative and useful analysis for our retail customers. Find data that is predictive for their businesses.• Ability to understand what moves the needle for our customers and explore data that could be helpful. Must be able to do this without much direction.• Ability to find, source, and store unique data sets that may be useful for analysis (e.g. go get Google Analytics data and add it to your model)• Ability to design & build data analysis environment with Hadoop• Deploy models to production for use by our applications \nJob Requirements\n\nWhat we look for: Required• Strong abilities with R or Python and Hadoop. • Strong knowledge of Linux environment. • Experience with Google Cloud Platform (specifically CloudML, Big Query and Data Proc). • Demonstrated ability to architect the structure of very large data sets. • Familiarity with pulling data from (or migrating from) Oracle, MongoDB, flat files, and other data sources for analysis.• 5+ years building machine learning systems and analyzing large data sets with modern tools. • Passion for machine learning & data analysis. • Demonstrated exploration of new techniques outside of day-to-day job duties. Skills/Abilities: • R• SQL• Hadoop (HBase, Hive, Pig, RHadoop)o Spark (MLlib)• Python (Numpy, Pandas, SciPy)• ML frameworks (e.g. Keras, TensorFlow, Caffe)• GPU optimization of ML algorithms• Implementation experience with vision algorithms (CNN, R-CNN, YOLO)• GCP (Big Query, Data Flow, Data Proc, Cloud Storage, Cloud ML) [AWS/Azure equivalent experience OK as well]• Linux Education/Certification: Ph.D or MS in Computer Science, Data Science, Applied Mathematics, Statistics. Johnson Controls is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit www.johnsoncontrols.com/tomorrowneedsyou
## 168 Data Scientist Who We're Looking For:\n\nWe are seeking an innovative and passionate Data Scientist to join our growing team to help promote our analytical culture, while leveraging data to maximize marketing performance and deliver a best-in-class experience for the clients we serve. \n\nThe ideal candidate will apply analytical rigor and data driven reasoning to guide the development and execution of marketing strategies and experiential initiatives across the organization. This individual will bring a sense of curiosity to seek out opportunities for improvement through internally and externally sourced data. This person will play a critical role in providing thought leadership, building statistical models to understand consumer behavior and intent, and identifying optimization opportunities across programs.\nThis is an opportunity to grow with a diverse team and have a measurable impact on a rapidly growing organization. It is a great fit for an entrepreneurial professional with a strong background in statistical modeling and a passion for translating data into actionable insight. \n\nMeet some of our team members!\n\nPrinciple Duties and Responsibilities:\n\n Develop and implement advanced statistical models to guide business strategy and deliver incremental growth and value throughout the company.\n Perform analysis of structured and unstructured data to solve complex business problems. \n Use statistical techniques to build marketing segments, evaluate scenarios, predict future outcomes, and optimize performance. \n Lead complex research and analytics projects across teams.\n Research, test, and validate new modeling techniques as appropriate for specific solutions.\n Present and depict recommendations so that stakeholders can make data-informed decisions.\n\nJob Requirements\n\nData Scientist Qualifications:\n\n 5+ years of experience as a data scientist conducting data mining and building and implementing complex models in a fast-paced, marketing-driven environment.\n Experience working with large internal and external data sets covering new and existing client programs to include direct mail, TV, radio, search engine marketing and email preferred.\n Undergraduate degree in a quantitative discipline (i.e. Statistics, Mathematics, Computer Science or equivalent quantitative discipline), advanced degree is preferred.\n Expert knowledge of SAS, R/Python and SQL or similar industry standard tools use for large-scale data analysis and modeling.\n Experience linking multiple data platforms with data visualization tools is a plus.\n In-depth knowledge and experience in data mining and statistical modeling techniques (regression, decision tree, time series, etc. Knowledge of optimization theory and statistical model application are also preferred.\n Strong analytical and problem-solving skills with the ability to interpret large amounts of data with business insight to support growth.\n Strong consultative acumen with responsibility for analytical project design, management, and presentation of results to internal and external stakeholders.\n Ability to clearly present statistical solutions to non-statistical people, articulating value and insights to the business.\n Strong project management skills with a proven ability to set clear goals and design detailed plan against tight timelines. Evidence of self-motivated initiatives, high productivity, and good team work is desired.\nWhat We Offer:\n\nWe believe in a team-first culture, full of rewards and recognition for our employees. We are dedicated to our employees’ success and growth within the company, through our employee mentorship and leadership programs.\n\nOur extensive benefits package includes:\n\n Medical, Dental, and Vision Benefits\n 401(k) Match\n Paid Holidays, Sick Days, and Vacation\n 6 Weeks Paid Parental Leave\n Pre-tax Transit Benefits\n Discounted Gym Membership\n No-cost Life Insurance Benefits\n\nAbout National Debt Relief:\n\nNational Debt Relief is one of the country’s largest and most reputable debt settlement companies. We are made up of energetic, smart, and compassionate individuals who are passionate about helping thousands of Americans with debt relief. Most importantly, we’re all about helping our customers through a tough financial time in their lives with education and individual customer service.\n\nWe are dedicated to helping individuals and families rid their lives of burdensome debt. We specialize in debt settlement and have negotiated settlements for thousands of creditor and collections accounts. We provide our clients with both our expertise and our proven results. This means helping consumers in their time of hardship to get out of debt with the least possible cost. It can also mean conducting financial consultations, educating the consumer, and recommending the appropriate solution. Our core services offer debt settlement as an alternative to bankruptcy, credit counseling, and debt consolidation. We become our clients' number one advocate to help them reestablish financial stability as quickly as possible.
## 169 \nThe Company\nWorldpay is making payments smarter, faster and easier for all our partners, as well as the consumers they serve. From the largest retailers in the U.S. to the coffee shop down the street, we are leading the transformation in payments through chip-enabled cards, mobile wallets, eCommerce, and payment solutions for businesses of all sizes. We are the fastest growing payments company in the U.S., first in PIN Debit transactions and the second largest merchant acquirer. Visit Worldpay.com for more.\nThe Opportunity\nWorldpay's growth is one attributed not only to our first-in-class products and services, but also our ability to find new avenues of opportunity. This sense of discovery is thanks to the innovative and visionary work of our Marketing team; a team that leaves no stone unturned in seeking out and exploring new channels for Vantiv. When we are proactive and beating the trends in our marketing strategy, we stay ahead of the competition and assure continued growth and success at Worldpay.\nThe Data Scientist designs and develops methods and systems that have the ability to consolidate and analyze "big data" that generate insights to untapped client solutions. He/she will develop and code software programs, algorithms and automated processes to cleanse large datasets into meaningful information for gathering insight. By being able to draw conclusions from large, disparate sources of data, Vantiv can identify and pursue new areas of growth, preempt trends and continue our exponential growth.\nRewarding Impact. Fulfilling Careers.\nMaking an impact isn't something reserved for people in corner offices. At Vantiv, it comes from people in every corner of the office. People with ambition, optimism and courage. We provide growth and opportunity and give employees flexibility in how they get the job done. You might not expect that from a big payments company, but we're smart enough to know how to hire the best and when to step aside and let them lead. Our goal is that you never stop learning and you never cease to amaze--especially yourself. If this fits your career goal, we can't wait to welcome you on board.\nResponsibilities:\nDesigns, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.\nInteracts with product and service teams to identify questions and issues for data analysis and experiments.\nDevelops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.\nIdentifies meaningful insights from large data and metadata sources.\nInterprets and communicates insights and findings from analysis and experiments to product, service and business managers.\nAs a seasoned, experienced professional with a full understanding of area of specialization, he/she resolves a wide range of issues in creative ways.\nAbility to draw on past experience and current data to influence business partners and provide insightful analytics.\nWorks on problems of diverse scope where analysis of data requires evaluation of identifiable factors.\nDemonstrates good judgment in selecting methods and techniques for obtaining solutions.\nNetworks with senior internal and external personnel in own area of expertise.\nHigher level of data analysis skills and knowledge of M&A.\nAbility to leverage Excel and other systems to perform complex financial modeling.\nAbility to work in cross-functional teams and work more independently.\nAbility to perform onsite due diligence of potential acquisition targets.\nQualifications:\nTypically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.All the above duties and responsibilities are essential job functions for which reasonable accommodation will be made. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. This position description is not to be construed as an exhaustive statement of duties, responsibilities or requirements. Employees may be required to perform any other job-related instructions as requested by their leader, subject to reasonable accommodation.\n\n
## 170 Job Number: R0036772Machine Learning Engineer, SeniorThe Challenge:Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.We have an opportunity for you to use your leadership and analytical skills to improve the military operations community. You’ll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help our military leaders make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. As a technical leader, you’ll identify new opportunities to use data science solutions to help your customers meet their toughest challenges. Join us as we use data science for good in support of operations. Empower change with us.Build Your Career:At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect:access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk\na chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition\nparticipation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government\nYou’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want, as you chart your own course for success.\nYou Have:-5+ years of experience with application of machine learning techniques-Experience with developing machine learning systems-Experience with programming languages, including Python, R, or C++-Experience with using a machine learning framework, including TensorFlow, Caffe, Keras, and SparkML-TS/SCI clearance-BA or BS degree in a Science, Technology, Engineering, or Mathematics field\nNice If You Have:-2+ years of experience as a developer of Java, Python, R, or similar high-level languages-2+ years of experience with designing novel data analytic methods and workflows, including full data pipelines from raw data through analysis results-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-Experience in working with big data storage, processing, and computation, including one or more of Accumulo, Spark, Storm, Kafka, and MapReduce-Ability to both manage and manipulate large data sets, develop data science approaches, and manage data science tasks-Ability to learn Java-Ability to leverage a wide variety of data science capabilities and languages-Ability to exhibit flexibility, initiative, and innovation when dealing with ambiguous and fast-paced situations\nClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.SIG2017
## 171 TheBiostatisticianwill provide technical leadership within the Statistical Affairs Department in conduct and analysis of studies directed towards the development, verification, validation, and monitoring of medical products. This role works across Clinical Affairs, Design Quality Engineering, Design Quality Systems, and Global Development to ensure a high quality of data & analysis results in regulatory submissions.Key ResponsibilitiesResponsible for designing, planning, and executing statistical analyses of studies directed towards the development, verification, validation, and monitoring of products\nDevelops and uses statistical methodology to evaluate analytical and clinical study data.\nInterprets and evaluates test data and results of very complex studies and develops appropriate recommendations.\nPerform detailed review of clinical study protocols and development plans to ensure that the appropriate data collection and statistical analysis requirements are specified to support study endpoints.\nDevelops the statistical component of protocols for development-phase projects\nEnsure that clinical monitoring plans, data management plans, and statistical analysis plans are harmonized and ensure delivery of high quality data and analysis results for regulatory submissions\nInteract with members of the Data Management and Clinical Affairs teams to align scientific aspects of the clinical study to data collection, monitoring, and analysis activities.\nDevelops Statistical Analysis Plans (SAP) for clinical studies, maintains plan through life cycle of study, and executes analyses per plan.\nDevelops statistical analysis programs to merge complex data structures from multiple databases, create analysis data set (ADS) and generate tables, listings, and figures (TLF) for reports. Provides complex specifications and directions to clinical data analysts for creation of ADS and/or TLFs.\nParticipate in development of database clinical trial data specifications, including eCRF design, user requirements, edit rules/checks, query logic, and data validations. Ensures data specifications align with statistical analysis requirements and goals.\nContributes to the development of processes, procedures, and standards associated with analysis of clinical studies, data management, and reporting for regulatory submissions.\nMentors statistical staff on statistical methodology and programming. Assists in departmental training of staff.\nKeeps abreast of new developments in statistics, industry development, and regulatory guidance through literature review and attendance at workshops and professional meetings.\nStaff Biostatistician(Or Senior Staff - Depending on Level of Experience)Elmsford NY or Newark, DECompetitive Salary, Bonus, 6% 401K, 4 Weeks PTO, Excellent BenefitsWe have a newly created opening for an experienced Senior (Staff or Senior Staff Level) Biostatistician with a longstanding client; a multi-billion global medical diagnostics/instrumentation company. They have strong revenue growth, a stable environment, very low turnover, and offer the opportunity to work on customized, complex medical products that impact people's lives. This is an ideal role for candidates who are detail-oriented, have strong problem solving and scientific thinking skills, a collaborative mindset, and enthusiasm for topics related to data analysis, programming, presentation of data, and science. A willingness to share this enthusiasm with colleagues and to have fun is a must.Requirements:Masters degree in Statistics/Biostatistics strongly preferred\n8-25+ years experience, with expertise in statistical and data analysis with medical diagnostics, medical devices, pharmaceutical, life sciences, or similar. Must have some experience with R&D based, clinical trials. Could come from IVD, device, CRO, pharma, or hospital setting. \nProficiency in statistical programming (SAS, R) and query of relational database systems (SQL). Certifications in SAS programming a plus.\nExperience with extraction of data and reporting within Clinical Data Management systems (e.g. Medidata RAVE, Medrio, Oracle Clinical).\nStrong knowledge of statistical theory, experimental design and clinical trial methodologies, linear and nonlinear modeling, categorical and non-parametric methods, sample size calculations.\nDesired knowledge of statistical methodologies such as Quality by Design, Design Space, Experimental Designs, Regression.\nAbility to work independently and in project teams - mentor & lead junior Statisticians\nAbility to understand scientific questions and formulate statistical and data-analytic methods to provide solution to novel problems.\nExperience with analysis of complex data from multiple source.\nExcellent communication skills (written and spoken). Strong ability to interact with others and to distill complex concepts in simpler terms to generalized audiences
## 172 Position: Data scientist\nLocation: Scottsdale, AZ\nAny Visa is fine\nonly on W2 to Emvia Inc\n \nJob Description:\no 3+ years in an analytic role, preferably with direct experience in big data solutions & approaches\no SME in statistics, analytics, big data, data science, machine learning\no Hands-on experience analyzing large amounts of data to derive unique, actionable insights\no Strong communication skills and partnerships with technology, product strategy, client management\no Strong working knowledge of data models and processes\no Ability and confidence to collaborate and influence senior leaders and business partners\no Self starter and autonomous, able to work as part of global team, strong sense of ownership\no Degree in statistics, mathematics, operations research, economics, engineering or information science\n\nJob Requirements\n\nThanks & Regards,\nHarish Amanchi\nP: 214 903 4408||Email: [Click Here to Email Your Resumé] \n\n
## 173 \nThe Company\nWorldpay is making payments smarter, faster and easier for all our partners, as well as the consumers they serve. From the largest retailers in the U.S. to the coffee shop down the street, we are leading the transformation in payments through chip-enabled cards, mobile wallets, eCommerce, and payment solutions for businesses of all sizes. We are the fastest growing payments company in the U.S., first in PIN Debit transactions and the second largest merchant acquirer. Visit Worldpay.com for more.\nThe Opportunity\nWorldpay's growth is one attributed not only to our first-in-class products and services, but also our ability to find new avenues of opportunity. This sense of discovery is thanks to the innovative and visionary work of our Marketing team; a team that leaves no stone unturned in seeking out and exploring new channels for Vantiv. When we are proactive and beating the trends in our marketing strategy, we stay ahead of the competition and assure continued growth and success at Worldpay.\nThe Senior Data Scientist designs and develops methods and systems that have the ability to consolidate and analyze "big data" that generate insights to untapped client solutions. He/she will develop and code software programs, algorithms and automated processes to cleanse large datasets into meaningful information for gathering insight. By being able to draw conclusions from large, disparate sources of data, Vantiv can identify and pursue new areas of growth, preempt trends and continue our exponential growth.\nRewarding Impact. Fulfilling Careers.\nMaking an impact isn't something reserved for people in corner offices. At Worldpay, it comes from people in every corner of the office. People with ambition, optimism and courage. We provide growth and opportunity and give employees flexibility in how they get the job done. You might not expect that from a big payments company, but we're smart enough to know how to hire the best and when to step aside and let them lead. Our goal is that you never stop learning and you never cease to amaze--especially yourself. If this fits your career goal, we can't wait to welcome you on board.\nResponsibilities:\nDesigns, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.\nInteracts with product and service teams to identify questions and issues for data analysis and experiments.\nDevelops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.\nIdentifies meaningful insights from large data and metadata sources.\nInterprets and communicates insights and findings from analysis and experiments to product, service and business managers.\nHaving wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways.\nAbility to draw on past experience and current data to influence business partners and provide insightful analytics.\nAbility to challenge conclusions and impact business outcomes.\nWorks on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.\nExercises judgment in selecting methods, techniques and evaluation criteria for obtaining results.\nNetworks with key contacts outside own area of expertise.\nAbility to perform onsite due diligence of potential acquisition targets.\nAbility to influence outcomes and business partner decisions (viewed as trusted business advisor) with extensive subject matter expertise.\nWorks in larger cross-functional teams with ability to influence senior leaders in Finance and Business.\nDetermines methods and procedures on new assignments and may coordinate activities of other personnel.\nQualifications:\nTypically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years of experience; or equivalent experience.All the above duties and responsibilities are essential job functions for which reasonable accommodation will be made. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. This position description is not to be construed as an exhaustive statement of duties, responsibilities or requirements. Employees may be required to perform any other job-related instructions as requested by their leader, subject to reasonable accommodation.\n
## 174 NESCO Resource is currently recruiting for a Biostatistician for a 1-year contract position with our client in North Tucson, (Oro Valley), AZ. \n \nJob Summary\nProvides statistical support to development and clinical research projects; interacts with research personnel to ascertain needs and develops appropriate design and statistical solutions. Writes statistical analysis plans (SAPs) and statistical reports for use by internal and external customers.\n \nEssential FunctionsInteracts with product developers and clinical investigators to design clinical trials with appropriate statistical methods and adequate sample size for statistical justification of clinical utility claims.\nWrites data analysis plans as needed to capture design elements and statistical methodology.\nPerforms data analysis and prepares statistical reports of results.\nPerforms Quality Control (QC) for statistical analyses by other biostatisticians to ensure analysis quality.\nConducts randomization and blinding of samples.\nDevelops data entry spreadsheets as needed.\nEvaluates databases and statistical analysis programs and interacts with computer groups to determine hardware/software compatibility.\nMaintains expertise in state-of-the-art data manipulation and statistical analyses.\nManages technical aspects of project(s), as assigned.\nMonitors work to ensure quality, and continuously promotes Quality First Time.\n\n \n \nQualificationsEducation: \nMinimum: Masters degree in Statistics or a related field\nPreferred: PhD degree in Statistics or a related fieldExperience: \nMinimum: Masters plus 3 years statistical analysis in a healthcare environment or PhD plus significant experience in analysis and reporting using statistical software.\nPreferred: Experience with SAS\n Design of Experiments (DOE) experience\n Experience in FDA submissions and in vitro diagnostic testsKnowledge, Skills and Abilities:Knowledge of FDA guidelines for in vitro diagnostic devices and the required statistical basis for sensitivity, specificity, agreement rates, and reproducibility testing required for validation and FDA clearance and approval.\nStrong ability to collaborate across departments and interact with various levels in the organization.\nHigh attention to detail with skill in producing organized reports.\nAbility to write statistical code and documentation.\nAbility to work in a team-focused environment is essential, as all statistical analyses under design control require both lead statistical analysis and quality control (QC), each conducted by different individuals who must coordinate activities.\n\n \n \n For immediate consideration apply now and/or contact me directly: Kristy Ramos at 520-505-4667. \n \nIf you would be interested in other positions in Tucson, we have several additional opportunities available please see www.nescoresource.com for more openings. If you know someone looking for a new opportunity we will pay you for your referrals!\n \nNESCO Resource was named Best of Staffing for both client and staffing 6 years in a row! We offer medical, dental, vision, short term disability, life insurance and 401K!! We are excited to work for you!\n \nAt NESCO Resource, our flexible staffing solutions include contract, contract-to-hire, and direct placement services. We employ specialized recruiters focused in the fields of Engineering, Information Technology, Accounting & Finance, Administrative & Customer Service, and Manufacturing & Distribution.
## 175 RESPONSIBILITIES:Kforce has a client that is seeking a Data Engineer Machine Learning in Salt Lake City, Utah (UT).Summary:You will accelerate our efforts to create accurate, efficient and scalable Predictive Models and Machine Learning solutions. You will create and maintain the tables, queries, views, procedures, packages, indexes, and functions that provide our Business Partners with valuable insights into our business. You will also develop data lake solutions to support our more advanced analytics.Essential Role Functions: Design, construct, install, test and maintain highly scalable data management systems\n Engage with product owners of source systems to identify business rules and data glossary items\n Develop a thorough understanding of company data and business rules to provide guidance to business intelligence team members and data scientists\n Audit and troubleshoot missing and incorrect data in the source systems and the data warehouse and give recommendations on correcting this data\n Perform up front design, document system parameters and schedules, communicate with end users, monitor ongoing work, implement solutions, and manage project quality from beginning to end\n Create data tools that assist team members in building and optimizing advanced analytical applications\n\nJob Requirements\n\nREQUIREMENTS: Strong ability to work with unstructured datasets\n Experience with big data tools: Hadoop, Spark, Kafka, etc.\n Advanced knowledge and experience in working with relational databases, query authoring and familiarity with a variety of data sources\n Experience in Kimball Data Warehouse and Data Lake methodologies\n Working knowledge of message queuing, stream processing and scalable big data stores\n Good understanding of Lambda Architecture, along with its advantages and drawbacks\n Possesses understanding of the software development lifecycle and Agile methodologies\nExperience with the following preferred: Object-oriented/functional scripting languages: R, Python, Java, C++, Scala, etc.\nKforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status
## 176 Veritude is seeking a Quantitative Data Scientist for Fidelity Investments. This position is based in Boston, MA.Fidelity’s Investment and Technology Solutions group is seeking a hands-on experienced data scientist with financial services industry experience. As part of a small, nimble team, the associate’s key differentiating abilities will be exceptional analytical skills, and an ability to conceive of and develop differentiated products for the benefit of Fidelity’s customers. Absolutely critical is the associate’s ability to carry an initiative from idea through to execution.The Expertise We’re Looking For5+ years of financial industry experience\nEducation– At least one advanced degree (Master or PhD level) in a technical discipline (including coursework in fields such as statistics, computer science, applied math, econometrics, etc)\nNatural programmer, and demonstrated industry experience with statistics and data modeling\nExtensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation\nIndustry contacts and an ability to hold a deep conversation in one or more of the following areas: electronic trading, asset management, consumer finance, and the Fintech industry landscape\nSpecific certifications – CFA is a plus\nExperience with financial data sets is a plus\nThe Purpose of Your RoleWithin the Platform Analytics group in the Investment and Technology Solutions organization, you will be responsible for providing Project/Program Management oversight and direction for Artificial Intelligence and other analytics projects across Fidelity Institutional. You will work with a variety of partners and stakeholders to help identify, execute, and track the progress of multiple projects at the same time. As part of a Product organization, you will also have the opportunity to work closely with Product Managers on various aspects of product rollout. As a member of an analytics group, there may be opportunities to “get your hands dirty” developing analytics solutions from time to time.The Skills You BringSelf-motivated, with a strong desire to learn new skills and technology.\nComfort managing multiple complex projects with a variety of stakeholders, including internal partners and external clients\nA knack for identifying and improving process inefficiencies.\nAbility to effectively prioritize work.\nA working knowledge of analytics techniques and tools. \nAbility to bring clarity and direction to ambiguous situations. \nStrong analytical and problem solving skills.\nAbility to proactively execute on identified opportunities\nThe Value You DeliverEnsuring that Artificial Intelligence and other analytics use cases are optimally identified, prioritized, and executed on.\nTracking and reporting on progress related to Artificial Intelligence initiatives.\nCommunicating timely and appropriate updates to key stakeholders\nCollaborating closely with partners throughout Fidelity to identify synergies, efficiencies, and economies of scale\nHow Your Work Impacts the OrganizationArtificial Intelligence solutions present opportunities for Fidelity Institutional to increase revenues, improve operations, manage risk, and create a better client experience. Your work will ensure that Fidelity Institutional is well positioned to identify and execute on these opportunities.
## 177 Job Number: R0012389SIGINT Data Scientist, SeniorKey Role:Provide Scientific, Engineering, and Technical Assistance (SETA) support to the government Program Manager (PM) and provide technical support and expertise on automated analysis of SIGINT data. Assimilate and integrate technical inputs from performers and analyze performers' technical deliverables and reports. Conduct technical writing, development or refinement of briefing materials, and other program documentation using Microsoft Word and PowerPoint, conduct independent review and summary of related technical literature and emerging technologies, and participate in conferences and workshops related to program technical areas. Develop and document testing methodology and protocols, ensuring they align with program technology components. Assess performer results against program metrics. Coordinate, align, and schedule technology development tasks across multiple performers and perform continuous analysis of technical progress in comparison to planned cost and schedule. Perform technical and programmatic risk analysis or review and tracking. Basic Qualifications:-3 years of experience with research in statistics, mathematics, or computer science-2 years of experience with research in time series analysis, text analysis, event ontologies, or stream-based machine learning-2 years of experience in R&D program management-TS/SCI clearance with a polygraph-MS degree in Mathematics, Computer Science, or EngineeringAdditional Qualifications:-Knowledge of the US SIGINT system, including database repositories, digital network intelligence, and dialed number recognition preferred-Possession of excellent writing and organizational skills-Possession of excellent oral and written communication skills-PhD degree in Mathematics or Computer Science preferredClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.CB13
## 178 Job Description The Autonomy, Control, & Estimation (ACE) Technology Product Line is a cutting-edge, multidisciplinary research organization that is BAE Systems' lead for invention and strategy of innovative solutions for Autonomy and related technologies. ACE develops technologically disruptive, War-winning capabilities that drive mission system autonomy and decision-making through the Assess – Learn – Act cycle, at any speed, and across domains. ACE’s vision to be the premier source of Autonomy research & development and technology disruption. Applications of our technology include contested space, ground, maritime, and cyber domains over a range of sensing modalities that span the technology readiness spectrum from basic research through transition to fielded operational systems. Our cutting edge projects and opportunities advance the frontiers of science as well as contributing to current and emerging warfighter systems. We seek an entrepreneurial and experienced Chief Scientist to lead and engage in the full contract research and development program lifecycle. You will:Lead programs from capture through execution and technology transition through BAE Systems’ business areas\nDevelop program concepts and lead teams to create complex systems and algorithms that solve the most pressing technology challenges of our time\nOversee and engage in preparation of technical, management, and cost proposals\nMentor and advise to junior staff\nTypical Education & Experience Typically a Bachelor's Degree and 12 years work experience or equivalent experienceRequired Skills and Education Bachelor's degree with 15 years, Master's with 13 years, or Ph.D., with 11 years of experience in the following or related fields: Computer Science, Mathematics, Physics, Electrical Engineering, Aerospace Engineering, Operations Research or related discipline Experience as capture lead and Chief Scientist of securing and executing DARPA, IARPA or other Government S&T lab R&D programs \nExperience leading program execution teams executing complex research programs\nTechnical expertise in one or more of the following areas: Artificial Intelligence, Game Theory, Data Science, Machine Learning \nPublished co-author/author of publications of high profile conference papers, presentations, journal articles, and books\nAbout BAE Systems Electronic Systems BAE Systems is a premier global defense and security company with approximately 90,000 employees delivering a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support and services.The Electronic Systems (ES) sector spans the commercial and defense electronics markets with a broad portfolio of mission-critical electronic systems, including flight and engine controls; electronic warfare and night vision systems; surveillance and reconnaissance sensors; secure networked communications equipment; geospatial imagery intelligence products and systems; mission management; and power-and energy-management systems. Headquartered in Nashua, New Hampshire, ES employs approximately 13,000 people globally, with engineering and manufacturing functions primarily in the United States, United Kingdom, and Israel. Equal Opportunity Employer/Females/Minorities/Veterans/Disabled/Sexual Orientation/Gender Identity/Gender Expression
## 179 • The right candidate with be self-directed, capable of working independently in ambiguous environments to define deliverables, shape outcomes and lead teams toward successful results. • The candidate must be able to thrive in a flat, fast-moving environment that relies on lightweight processes to deliver huge impact.• Develop comprehensive topic taxonomy for classifying client’s content in a natural, interpretable manner, at multiple granularities.• Evangelize the project with internal teams and identify new use ways these teams can leverage the work.• Work closely with engineers to prioritize and manage projects/deliverables effectively while adapting to changing business needs, processes and requirements.• Provide guidance about ontologies and semantic representations, supporting recommendations with data.• Analyze and optimize processes, owning data integrity and taxonomy effectiveness.• Coordinate and build alignment with teams and stakeholders across client's family of apps and services to optimize for consistency and interoperability.• Partner with PMs, engineers, product designers, researchers, and content strategists to oversee the user experience of a product from conception until launch (and then some).• Promote taxonomy and in the broader community of design and content professionals.• Help develop a high level, vision for the team, and identify opportunities that solve business and user needs through the taxonomy.\n\nJob Requirements\n\n• 5+ years developing and managing product taxonomies• Experience using taxonomy management systems to maintain categories, attributes, and other metadata. • Ontology development and information domain modeling experience• Proven ability to present complex technical and metadata information in a clear and concise way to a range of technical and non-technical audiences• Experience working with content systems and establishing the relationship between content topics• Proven ability to work on ambiguous projects and deliver effectively in customer-focused, cross-functional teams• Ability to think at a high level about product strategy and vision• Experience in building and shipping taxonomies and related features for content web sites, apps, or software• A portfolio or other work samples showing the impact of your content taxonomy work• Ability to partner with data science and comfort with data• 5+ years working with and developing content taxonomies• Familiarity working across different languages and markets- Experience with an international taxonomy, specifically how to internationalize taxonomy• Familiarity with data science and data-driven decision-making• Product/UX content strategy experience• Experience with social products
## 180 Position Summary:\nKemper has an immediate need for a Senior Data Scientist in our corporate headquarters location in Chicago, IL. You will work as part of a team to build predictive models designed to support the Kemper organization in areas such as risk selection, customer\nsegmentation and lifetime value, insurance pricing, operational efficiency, and fraud detection.\nPosition Responsibilities:\n• Developing and automating predictive modeling processes that can be deployed through the organization to solve reoccurring analytics needs (ex: state specific implementations).\n• Aiding the decision making process of our internal customers by building easy to deploy tools that present both insightful data summaries and actionable modeling results.\n• Functioning as both project lead and supervisor for teams of 3-5 analysts. Ensure compliance with both analytics best practices and corporate standards while emphasizing analyst training and development.\n• Providing implementation support for completed projects to insure work results are successfully deployed in the marketplace.\n• Experimenting with and conduct internal peer reviews for new modeling techniques to continually improve on existing methodologies.\n• Meeting with key stakeholders to understand the processes and work streams of the area, identify problems that can be solved through predictive modeling and propose appropriate solutions;\n• Prioritizing projects based on the positive impacts to the business\n• Acting as an analytics resource in executive meetings and advise the leadership team on the best approaches to data driven solutions to corporate problems.\nYou will also serve as project coordinator for complex work streams that include multiple projects and address the research needs of an entire corporate function. Provide guidance and feedback to managers on analyst performance.\nPosition Qualifications:\n• 5+ years of experience in a data science environment; financial industry preferred.\n• Graduate degree in a quantitative field preferred: Mathematics, Statistics, CS, Physics etc.\n• Excellent overall communication skills, particularly possessing the ability to translate technical results for wide audiences\n• Proficiency and experience with several modeling techniques such as generalized linear models, decision trees, ensemble learning, regularized models (ridge/lasso/nets), clustering or neural networks.\n• Solid coding skills and proficient with at least one programming language (C++, Java, Python etc.)\n• Ability to work with various data formats – from delimited text files to ODBC connections and relational databases.\n• Ability to combine various analysis methods to solve complex business problems, including using mathematical optimization techniques to combine predictions of different statistical models\n• Strong skills with SAS or R, including an understanding of each tools comparative strengths\nOur employees enjoy great benefits: \n• Qualify for your choice of health and dental plans within your first month.\n• Save for your future with robust 401(k) match, Health Spending Accounts and various retirement plans.\n• Learn and Grow with our Tuition Assistance Program, paid certifications and continuing education programs.\n• Contribute to your community through United Way and volunteer programs.\n• Balance your life with generous paid time off and business casual dress.\n• Protect what you love with discounts on home and auto insurance products.\n• Get employee discounts for shopping, dining and travel through Kemper Perks.\nKemper at a glance\nWith $11 billion in assets, Kemper is one of the nation's leading insurers. The Kemper family of companies specializes in auto, home, life, health and valuables insurance products for individuals, families and businesses.\nKemper’s underwriting companies* are rated A- (Excellent) and Infinity Property & Casualty is rated A (Excellent) by A.M. Best Company, the leading insurance industry rating authority. Kemper companies service seven million policies and rank among the top 25\npersonal lines property and casualty writers and the 2016 Ward’s 50 Top Performers list of life insurance companies.•Alliance United Insurance Company is not rated.\nWe value diversity and strive to be an employer of choice. An Equal Opportunity Employer, M/F/D/V\n-MO -CB -ZR -GD -IN -MSJ -PT
## 181 The Civil and San Diego (CSD) Operations is responsible for a broad range analytical, engineering, independent assessments, strategic planning, and technology research, development, testing and evaluation (RDT&E) programs in support of new SPA markets.\nRequirements:\n•Bachelors’ Degree in Mathematics, Operations Research, Statistics, Computer Science, Engineering, or a related discipline.•5+ years of related experience, preferably in national security related programs.•3+ years’ experience with data analytics (e.g., descriptive statistics, predictive modeling, data visualization), this can include significant academic projects.•Experience with one or more scripting or high-level programming languages such as Python, R, MATLAB, Java. •Experience with designing and developing automated analytic software, techniques, and algorithms.•Proficient in developing relational databases and mining data.•Proven ability to prioritize and execute workload to meet requirements and deadlines. •Experience developing compelling written and visual communications that are clear, concise, and suited to the audience. •Advanced knowledge of Microsoft Office Suite (e.g., Excel, Access, Word, PowerPoint).•Possess an active SECRET clearance with the ability to obtain TS.Desired:•Master’s Degree. •Experience providing analytical support to the Department of Homeland Security.•Experience with discrete system simulation software such as Arena or ExtendSim.•Experience with ArcGIS. •Experience within cybersecurity and/or critical infrastructure domains.•Active TS clearance. •DHS Suitability.\nJob Description:\nThe Data Scientist will provide advanced analytical support to the Department of Homeland Security (DHS) and will apply science-based techniques and critical thinking to help inform and improve the Department’s decision-making abilities for preparation, response and recovery to manmade and natural disasters and impacts on the Nation’s critical infrastructure. Apply principles of mathematics and statistics, computer science, software development, and data science fundamentals to design and implement an analytical capability with modern tools, workflow processes, and data visualizations. Contribute to the development of capabilities such as text analytic engines for automated document review and metadata discovery dashboards. Job duties/responsibilities:•Assist in identifying, prioritizing, and executing programs to help demonstrate and expand analytical capabilities.•Develop data standards and frameworks to collect, integrate and link, and manage data.•Build data governance and structure for enterprise data integration.•Run, develop, and document models and analytic methods.•Create software code to extract and transform data for use in analysis.•Develop automated analytic algorithms to assist with data management.•Develop plans of action and timetables in order to meet established deadlines#CJ
## 182 Where good people build rewarding careers.\nThink that working in the insurance field can’t be exciting, rewarding and challenging? Think again. You’ll help us reinvent protection and retirement to improve customers’ lives. We’ll help you make an impact with our training and mentoring offerings. Here, you’ll have the opportunity to expand and apply your skills in ways you never thought possible. And you’ll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life.\n\n\nJob Description\n\nData Discovery and Decision Science (D3) is the research and analytics organization at Allstate. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver perfect insurance solutions to our customers. We are avid about learning and applying new tools and techniques to get the most value from our massive data resources. As a Senior Data Scientist in D3, you will get 10% of your time to innovate, work on your own initiatives, learn, collaborate, and teach. In partnership with technology and the business, we are incorporating analytics into every aspect of the enterprise. We are deeply committed to developing ourselves and others as a path to success.\n\nIn this role, you will be responsible for leading the use of data to make decisions within the Marketing Analytics space. You will act as part of an in-house team that delivers an MMX/MTA solution to Allstate marketing partners. This work will include the development and management of new machine learning and predictive modeling algorithms. You'll be involved with the coding and development of tools that guide business decisions; searching for and integrating new data that improves our modeling and machine learning results (and ultimately our decisions) and discovery of solutions to business problems that can be solved through the use of these techniques. \nKey Responsibilities\nUses best practices to develop statistical, machine learning techniques to build models that address business needs within the Marketing space.\nDeliver effectiveness measurement for multiple marketing vehicles simultaneously through the creation and management of complex statistical models built on millions of rows of data.\nWorks on data and business problems to drive improved business results through designing, building, and partnering to implement models.\nManages data requests to internal engineering teams to improve the accuracy of our data and decisions made from data analysis.\nUses and learns a wide variety of tools and languages to achieve results (e.g., R, SAS, Python, Hadoop).\nIdentifies languages and tools that can bring efficiencies or needed techniques to the team.\nCollaborates the with team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling.\nUnderstands the business’ problems to identify the optimal modeling approach.\nCommunicates to team members, leadership and stakeholders on findings to ensure models are well understood and incorporated into business processes.\nUtilizes effective project planning techniques to break down moderately complex projects into tasks and ensure deadlines are kept\nWorks with leaders to ensure the project will meet their needs.\nThe development and execution of a communication strategy, with appropriate coaching, that keeps all relevant stakeholders informed and provides an opportunity to influence the direction of the work.\nReviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership.\n\nJob Qualifications\n\nExperience with Media Mix Models and/or Multi-Touch Attribution methodologies, either as a vendor or as a client, with an in-depth awareness of the mechanics of the product(s).\nDegree in a quantitative field such as statistics, mathematics, computer science, finance\nMaster’s or PhD preferred in a quantitative field such as statistics, mathematics, computer science, finance, or economics\nExperience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making\nExperience in managing and manipulating large, complex datasets\nExperience in working with statistical software such as R (preferred), SAS, SPSS, MatLab, CART, etc.\nUnderstanding of the Insurance market place; economics and regulation preferred\nAbility to code and develop prototypes in languages such as Python (preferred), Perl, Java, C\nKnowledge of advanced modeling technique\nAbility to analyze and interpret moderate to complex concepts \nAbility to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise\nDemonstrated analytic agility\n\nThe candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.\nGood Work. Good Life. Good Hands®. \nAs a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy.\nLearn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.\nAllstate generally does not sponsor individuals for employment-based visas for this position.\n\nEffective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. \nFor jobs in San Francisco, please click 'here' for information regarding the San Francisco Fair Chance Ordinance. \nFor jobs in Los Angeles, please click 'here' for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.\nIt is the policy of Allstate to employ the best qualified individuals available for all jobs without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity/gender expression, disability, and citizenship status as a veteran with a disability or veteran of the Vietnam Era.
## 183 Position OverviewCollaborates with partners across the Company in product, marketing, operations and finance departments to develop business insights and make actionable recommendations. Examines data to uncover insights, design experiments and measure the impact, and ultimately help influence decision-making across the entire organization. Responsible for combining different sources of data to contribute to strategic and operational decision making.Job ResponsibilitiesInteracts with stakeholders to establish business metrics and analytical frameworks that measure the health of our products, our customer experience, and contractor performance.\nPartners with product managers, pricing analysts, marketers, and operators to translate business insights into decisions and action.\nDesigns product experiments, analyzes results, communicates next steps, supports launch decisions.\nIs the in-house subject matter expert and will be instrumental in helping the Company continue its evolution into a data driven, analytical culture.\nPursues a variety of issues ranging from understanding our customers and contractors to ensuring profitable product portfolio management.\nPartners in the research and development of data models to produce insights around complex and impactful problems in the home services business. \nCreates and statistically analyzes large data sets of internal and external data.\nPrepares results to be communicated across the organization in a way that informs and drives the organization to action.\nPerforms data analysis and rigorous testing to ensure high quality assets.\nAnalyzes new data sources for availability and quality, and integrates with internal sources to support research or analytics.\nBuilds both ad hoc and reusable data access code and maintains that code to support analytics.\nProvides training and support to analytics team and advance users.\nPartners with IT on data, reporting, and analytics projects as needed.\nCreates and maintains documentation for models and outcomes.\nJob RequirementsBachelor’s degree in relevant fields such as Statistics, Econometrics, Operations Research, Applied Mathematics or Engineering\nExperience in handling data in large quantities (e.g. Hadoop, SQL databases)\nExperience with analytical (visualization) software such as SAS, R. Matlab, Scipy, Python\n3+ years of relevant experience in data science or analytics role\nCritical thinking skills in formulating hypotheses, interpreting results\nSelf-motivated with strong attention to detail\nAbility to anticipate problems and opportunities and the initiative to pursue solutions.\nIntellectual curiosity and ability to handle high levels of ambiguity\nAbility to communicate complex statistical concepts and output to non-experts in both a written and verbal manner\nTechnical experience in SPSs, Big Query, Google Analytics, Excel and/or Tableau a plus \nBusiness insight\nAbility to work under pressure and within tight deadlines
## 184 Job Number: R0024324Chief Data ScientistKey Role:Serve as a senior technical leader of a data science and machine intelligence team, leveraging expertise with consulting to define business problems, work with and manipulate data, develop data science and machine learning algorithms and solutions, and develop machine learning models into production environments. Work across client sets to address business challenges, perform analysis, and explain the analysis to senior clients. Lead the identification of opportunities to apply knowledge and expertise of deep learning technologies to develop prototypes and analytic models to challenges with new and existing clients through the application of new, innovative capabilities. Lead and support engagements across government clients. Provide thought leadership, drive business growth within the market, and develop and maintain client relationships. Take an active role in the development, mentoring, and coaching of the team, work actively to enhance the diversity of the firm, and play a lead role in attracting, developing, and retaining talent.\nBasic Qualifications-10+ years of experience with designing, developing, and leading analytics or software development projects in Java, Scala, or other high-level languages-3+ years of experience with Cloud computing and open source solutions-Experience in the application of data science and machine learning algorithms, including structured, unstructured, or relational and data mining and machine learning techniques-Experience with developing and mentoring staff at all levels and building an internal capacity to deliver high quality and highly innovative analytics services-Experience with developing and implementing successful market strategy and business development and leading proposal, project, and intellectual capital creation-TS/SCI clearance-BA or BS degree required\nAdditional Qualifications-Experience with developing analytics for geospatial and commercial imagery data-Experience with developing and driving cross-cutting capabilities or solutions-Experience with deep learning frameworks, including Theano, Torch, Caffe, or AWS Rekognition-Experience with Natural Language Processing toolkits, including Stanford NLP or OpenNLP-Experience with business development and leading proposal, project, and intellectual capital creation-Ability to be well-versed in modern software development techniques, methods, and technologies-MS degree in Computer Science, Mathematics, or Physics preferred; PhD degree in Computer Science, Mathematics, or Physics a plus\nClearanceApplicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.CB13
## 185 Apex Life Sciences is seeking a Biostatistician to provide statistical support to development and clinical research projects. This candidate will interact with research personnel to ascertain needs and develops appropriate design and statistical solutions and write statistical analysis plans (SAPs) and statistical reports for use by internal and external customers.\nResponsibilities:\nInteracts with product developers and clinical investigators to design clinical trials with appropriate statistical methods and adequate sample size for statistical justification of clinical utility claims.\nWrites data analysis plans as needed to capture design elements and statistical methodology.\nPerforms data analysis and prepares statistical reports of results.\nPerforms Quality Control (QC) for statistical analyses by other biostatisticians to ensure analysis quality\nConducts randomization and blinding of samples.\nDevelops data entry spreadsheets as needed.\nEvaluates databases and statistical analysis programs and interacts with computer groups to determine hardware/software compatibility.\nMaintains expertise in state-of-the-art data manipulation and statistical analyses.\nManages technical aspects of project(s), as assigned.\nMonitors work to ensure quality, and continuously promotes Quality First Time.\nQualifications \nMasters degree in Statistics or a related field required; PhD degree in Statistics or a related field preferred\nMasters with 3+ years statistical analysis in a healthcare environment or PhD plus significant experience in analysis and reporting using statistical software.\nExperience with SAS strongly preferred\nDesign of Experiments (DOE) experience preferred\nExperience in FDA submissions and in vitro diagnostic tests a plus\nKnowledge of statistical basis for sensitivity, specificity, agreement rates, and reproducibility testing required for validation and FDA clearance and approval.\nStrong ability to collaborate across departments and interact with various levels in the organization.\nHigh attention to detail with skill in producing organized reports.\nAbility to write statistical code and documentation.\nAbility to work in a team-focused environment is essential, as all statistical analyses under design control require both lead statistical analysis and quality control (QC), each conducted by different individuals who must coordinate activities.\n\n\n\n\n\n\n\n\nEEO EmployerApex is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at 844-463-6178.
## 186 Do you have a serious knack for data?\n\nThe Senior Data Scientist is responsible for identifying, creating and refining statistical models and algorithms for the purposes of data profiling, prediction and visualization. They are also responsible for explaining the “science of data” to multiple audiences, to include the mentoring of junior staff. This may entail discussing the subject in layman’s terms to a non-technical audience or finding solutions to specific problems using these techniques and documenting the proposed solutions. The Senior Data Scientist will work closely with senior management, sales teams and other data developers.\nBig Data? The Internet of Things? Data Science? Can you find the hidden patterns inside complex data sets? Are you passionate about exploring the unknown in the known? Is it fun for you? It’s fun for us. We know data; and we should, we’ve been doing it since we started. We employ the most curious and brilliant data geeks in the area. We’ve watched the industry morph from rows and columns to sentiment analysis and from text to speech fact extraction. We’ve built enterprise KPIs and metrics on Terabytes and we’ve combed Petabytes to identify individual customer patterns. We’ve helped customers integrate master records and built algorithms to predict part failures in aircraft. Data is growing at an exponential pace and continuously evolving. We want seekers of knowledge with a passion for data to solve the ever-changing puzzles of the business environment. Are you ready to decipher data for us? Reach out to us today.\nSummary:\nILW is a motivated, fast-growing Solution Enablement Company. We provide expert level consulting, design, and development services that deliver results for our clients. We look for the best of the best, those who are attracted to a challenging and rewarding career experience, not just a job. Our ideal candidate exhibits passion, patience and perseverance with an entrepreneurial mindset. We have recruited and retained some of the best technical and professional talent in the industry.\n\n\nJob Requirements\n\nDo you have what it takes?\nPhD or Masters degree in Physics, Mathematics, or comparable academic discipline – math focus required\nExperience with advanced statistics\nExperience with Mathematica, SAS, MATLAB or equivalent a plus\nHadoop, Hive, Pig, Hue, MySQL, MongoDB, etc. a plus\nProficient with SQL\nKnowledge of Python, R, and Unix scripting\nData exploration and discovery\nData processing knowledge, batch and streaming\nDevelopment experience with Java, C++, or other OO language\nExperience with machine learning preferred\nAlgorithms and algorithm development\nThe Big Data Developer will work with both internal and external partners to ensure that respective data sets are ingested into our Big Data Platform\nThe Developer also follows best practices outlined to them by management. This includes meeting outlined expectations and performing various data analytic duties\nThe appropriate candidate will also assist with analytic tooling enablement and capability within the Big Data platform\nExcellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts\nOutstanding problem-solving skills\nAbility to successfully pass a post-offer pre-employment drug test and background screen\nWhy Choose Us?\nAs a company, we invest in our employees in all aspects of your life. We understand that the health of yourself and families are very important; along with your time here at ILW. Listed below you will find some of the top benefits and perks if you choose to be a part of our team.\nMarket Competitive Salary \nGenerous PTO Package\nComprehensive Medical, Dental, Vision and Life Insurance Plans\n401K\nShort and Long Term Disability Insurance\nFun & Engaging Culture\nOngoing training, education and industry partnerships that allow you to be up to speed on the latest technologies and processes.\n \nIllumination Works, LLC is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sexual orientation, gender identity or national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for most positions.\n\n\nIf you are interested in joining our team and being part of an outstanding group of IT professionals providing innovative solutions to a wide variety of clients, and feel you meet the prior requirements, please contact us!
## 187 Every day at Perspecta, we enable hundreds of thousands of people to take on our nation’s most important work. We’re a company founded on a diverse set of capabilities and skills, bound together by a single promise: we never stop solving our nation’s most complex challenges. Our team of engineers, analysts, developers, investigators, integrators and architects work tirelessly to create innovative solutions. We continually push ourselves—to respond, to adapt, to go further. To look ahead to the changing landscape and develop new and innovative ways to serve our customers.Perspecta works with U.S. government customers in defense, intelligence, civilian, health care, and state and local markets. Our high-caliber employees are rewarded in many ways—not only through competitive salaries and benefits packages, but the opportunity to create a meaningful impact in jobs and on projects that matter. Perspecta’s talented and robust workforce—14,000 strong—stands ready to welcome you to the team. Let’s make an impact together.Perspecta is an AA/EEO Employer - Minorities/Women/Veterans/Disabled and other protected categories\n\nResponsibilities\n\nPerspecta is seeking a senior analyst with data science and data analytics expertise and track record of supporting time-critical intelligence missions to help a multi-faceted operations center advance its knowledge management, visualization, and big data decision making capabilities. The successful candidate will have experience and demonstrated expertise in the application of programmatic and quantitative methods to identify patterns and relationships in large data sets using mathematical, statistical, or other data-driven analysis to address intelligence questions.Duties include:Creating, editing, and continuously improving data-driven decision making facilitated through standing reports (daily, weekly or monthly).\nManaging critical decision processes and providing support to senior leaders and high-priority missions by developing new approaches to leverage massive databases for enterprise and mission-related situational awareness and status monitoring of ongoing activities.\nCreation, improvement, and maintenance of Status Displays/Dashboards.\nCreation and editing of reports as required for specific missions, topics, or senior decision makers with the capacity to synthesize large amounts of data and convey the meaning/importance of any analytics used to create visualizations.\nSupport production of multi-media products.\n\n\nJob Requirements\n\nQualificationsBS degree in information technology, engineering or equivalent. 8 additional years of related experience may be substituted for a degree on a case-by-case basis.\n8 years of prior SI experience in the IC.\nAbility to work under minimum supervision given a Sponsor objective.\nDemonstrated outstanding organizational or managerial skills to handle multiple priorities\nDemonstrated ability to foster collaborative relationships\nMust have a pleasant personality and strong ability to work with others in a fast-paced, dynamic environment\nMust demonstrate exceptional verbal and written communication skills to develop and generate content for meetings, briefings, documents, blogs and/or websites\nExperience working with SharePoint to upload documents and experience making updates or minor changes to SharePoint sites\nDemonstrated significant experience utilizing Microsoft Word, PowerPoint and Outlook\nInterpersonal and teamwork skills to work with individuals and organizations, to include varying levels and types (Government, Industry, and Academia).\nFacilitation skills to bring diverse groups together on issues and reach consensus across stakeholders.\nThe ability to perform complex analyses and to communicate the results using accurate, concise, and effective writing and through descriptive and graphical representations.\nTechnical understanding of intelligence community requirements and contract-specific lines.\nFlexibility in assisting with ad hoc tasks and in adjusting as tasks are re-prioritized.
## 188 Doran Jones is seeking a Data Scientist (with Machine Learning/AI knowledge) to work within our team on a multiyear CCAR project. Our team is focusing on building an integrated forecasting platform which will be used for our clients CCAR and baseline forecasting. In future this framework can be extended for Corporate Planning and Recovery & Resolution purposes. Doran Jones will create a unique web-based portal where different lines of business can create/maintain their forecasting models. The main responsibilities for this role are below:\nImplementation of Standard Forecasting Platform for Critical Calculations (Non-Modeled) to provide increased controls and process automation for critical calculations, by which Forecast Administrators can configure processes and calculations in a controlled environment.\nThe deliverables will include Functional specifications, Code, Test documentation and knowledge transfer documentation.\nThe portal will support a calculation engine to perform complex forecasting calculations. It will include a workflow capability to support maker/checker use cases as well as advance analytics capabilities of Sensitivity Analysis and Attribution Analysis.\nPost-production support for the new forecasting platform\n \n\n\n\nJob Requirements\n\nRequired Skills/responsibilities:\nMust be a proven Data Scientist and possess Machine Learning / Artificial Intelligence (AI) knowledge and/or applicable experience. \nMinimum of 5 to 7 years experience desired, with more being beneficial.\nCapital Markets is preferred but not required.\nExperience working with large data sets, including classification, regression, and distribution analysis.\nExperience applying statistical tests to large data sets.\nProgramming skills in at least one: Python, C#, C++, or Java.\nStrong problem solving skills.\nIntellectual curiosity and a love of learning, with passion for data.\nAttention to detail.\nStrong oral and written communication skills.\nMonitoring and enhancing the automated data collection and cleansing infrastructure.\nResearching new technologies for improved data management and efficient data retrieval.\nPh.D. or Masters in computer science, mathematics, physics, statistics, or other discipline involving rigorous fundamental and/or quantitative analysis techniques.
## 189 SUMMARY Assist in various facets of Service Operations planning, organizing, and prioritizing service customer satisfaction and retention projects impacting Kia Motors America (KMA) Retailers and Regional Field operations. This position must be well organized, detail-oriented, and able to handle multiple tasks and priorities to meet given deadlines. Position will also be responsible for reporting and answering customer service-related inquiries from other KMA Corporate departments, regions, and Kia Motors Corporation (KMC). MAJOR RESPONSIBILITYProvide support to Owner Satisfaction dept. in administering service satisfaction tracking survey program, which includes vendor oversight, survey appeals, and response to field/dealer inquiries.\nPerform data analysis to support achieving CSI, Customer Service Retention, Dealer Profitability, and P&A sales goals (administering service retention and dealer profitability initiatives), generating and distributing reports to management and field on current initiatives and key performance metrics.\nPerform data analysis and functional support for Service Field Operations and Service Business Development Managers to further enable projects and programs, providing department with Power Point presentation development support.\nAssist in administration and quality control oversight of the Kia Service Elite program.\nProvide planning and logistical execution support for various meetings and events as needed, assisting in miscellaneous tasks as determined and requested by executive management.\nJOB REQUIREMENTS Education:A four year degree or equivalent experience required. Overall Related Experience:Automotive manufacturer experience preferred.\nRelated service satisfaction or overall customer satisfaction knowledge/experience desired.\nDirectly Related Experience:Two years with a data analytical job role required.\nOne year corporate administrative experience required. \n Kia Motors America offers an environment where we place a strong focus on our customer, embrace challenges and work collaboratively. If you're looking for this type of a dynamic company, then Kia Motors America should be in your consideration for employment opportunities. Based in one of the nation's most desirable communities in Southern California. Our outstanding benefits package includes 100% paid health insurance, 401(k) plan, plus much more. EOE M/F/D/V. For more information about Kia, please visit our website at www.kia.com/ or kiajobs.com.
## 190 RESPONSIBILITIES:Kforce Technology is currently seeking a Lead Engineer, Sports Science IoT Algorithm Development team member to join our client based in Carlsbad, California (CA). If you enjoy sports and want to work in a fulfilling field with a great company, please submit your resume today!Responsibilities: The algorithm lead will be a foundation stone member of our core team of bio-mechanists, algorithm developers, data scientists, and software developers to create state-of-the-art motion-analysis products for amateur- to elite-level / pro athletes\n Extend and optimize existing and create new inertial computer vision processing algorithms for execution on sensor, mobile, and cloud computing platforms\n Create new algorithms in the fields of inertial motion and computer vision\n Collaborate with the team in a technical leadership role to drive the architecture, design, planning and code development of next generation sensor fusion towards measuring the human body in motion\n Work directly and collaboratively with SW architect, product managers, QA and end users to ensure that delivered products meet and exceed expectations\n Develop a new multi-sensor solution for activity detection and motion analysis algorithms for new applications, including swing sports, athletic performance, action sports, and injury prevention; Define and develop on-sensor, mobile gateway, and cloud computing strategy to bring state of the art training and performance enhancement solutions to market\n Provide technical oversight for other algorithm and IoT sensor / data fusion software developers\n\nJob Requirements\n\nREQUIREMENTS: Minimum of a MS or PhD in Electrical Engineering, Computer Science, Physics, or related degree\n In depth experience with inertial sensor processing and fusion to detect, filter, qualify, quantify motion with high accuracy; Gyroscopes, accelerometers, magnetometers; Common product applications for automation, robotics, new generation IoT wearables, etc.\n In-depth experience with best practices for data collection and cataloging, statistical analysis and filtering, and visualization towards building algorithmic processing strategies in collaboration with biomechanists / sports scientists / medical professionals\n Experience with digital signal processing of multi-dimensional / spacial inputs\n Experience in developing rapid development / simulation environments using MatLab, Python, or equivalent\n Working knowledge of collaborative development tools (e.g. JIRA, GitHUB)\n Strong production level programming skills in C / C++; Must be able to develop highly sustainable code\n Strong professional intangibles in creativity, verbal / written communication, collaboration, presentation skills\n Background check and reference checks required upon hire\n Active Green Card or U.S. citizenship required\n Qualified candidates must be presently authorized to work in the United States on a full-time basis; This company does not sponsor or transfer H1-visa individuals\nPreferred, but not required skills: Expertise in computer / machine vision\n Expertise in machine learning\n Programming experience with Objective-C a strong plus\nKforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status
## 191 SUMMARYAssist in various facets of Service Operations planning, organizing, and prioritizing service customer satisfaction and retention projects impacting Kia Motors America (KMA) Retailers and Regional Field operations. This position must be well organized, detail-oriented, and able to handle multiple tasks and priorities to meet given deadlines. Position will also be responsible for reporting and answering customer service-related inquiries from other KMA Corporate departments, regions, and Kia Motors Corporation (KMC). MAJOR RESPONSIBILITYProvide support to Owner Satisfaction dept. in administering service satisfaction tracking survey program, which includes vendor oversight, survey appeals, and response to field/dealer inquiries.\nPerform data analysis to support achieving CSI, Customer Service Retention, Dealer Profitability, and P&A sales goals (administering service retention and dealer profitability initiatives), generating and distributing reports to management and field on current initiatives and key performance metrics.\nPerform data analysis and functional support for Service Field Operations and Service Business Development Managers to further enable projects and programs, providing department with Power Point presentation development support.\nAssist in administration and quality control oversight of the Kia Service Elite program.\nProvide planning and logistical execution support for various meetings and events as needed, assisting in miscellaneous tasks as determined and requested by executive management.\nJOB REQUIREMENTSEducation:A four year degree or equivalent experience required. Overall Related Experience:Automotive manufacturer experience preferred.\nRelated service satisfaction or overall customer satisfaction knowledge/experience desired.\nDirectly Related Experience:Two years with a data analytical job role required.\nOne year corporate administrative experience required. \nKia Motors America offers an environment where we place a strong focus on our customer, embrace challenges and work collaboratively. If you’re looking for this type of a dynamic company, then Kia Motors America should be in your consideration for employment opportunities. Based in one of the nation's most desirable communities in Southern California. Our outstanding benefits package includes 100% paid health insurance, 401(k) plan, plus much more. EOE M/F/D/V. For more information about Kia, please visit our website at www.kia.com/ or kiajobs.com.
## 192 Our client is currently seeking a Machine Learning Engineer MUST BE FLUENT IN MANDARIN Overview Responsible for building Machine Learning architecture and solutions to maximize the interpretation of our data in order to provide reliable predictive models. Provide insight of network data and solve complicated network problems with Machine Learning, Data Mining or Statistical Inference techniques. Design, document and lead the implementation of software and systems to help ensure optimal implementation of the neural network models, real-time analytics with enterprise data. Responsibilities Help team to research and build mathematical model for real network problems. Transfer research result into industrial product/solution. Help to build team and establish the workflow. Mentor other data scientists in algorithms, models, tools, and products that make the team more efficient. Qualifications Master Degree in Machine Learning, Data Mining, Statistical Inference, Mathematical modeling or similar fields with 5 years of relevant experience or Ph.D degree in Computer Science or related quantitative field. Experience in the following areas: machine learning, large-scale data mining. Excellent understanding of machine learning techniques and algorithms. Deep understanding of statistics and probability. Proficiency with Python. Experience with deep learning frameworks such as TensorFlow, Theano, Keras, Pandas, NumPy, scikit-learn. Experience resolve any domain problem use Machine learning technology. Experience with distributed computing frameworks Yarn, kubernetes, AWS ECS Experience with Spark ML/Hadoop Excellent understanding of algorithms and data structures for optimization. Have 5 years of experience in Machine Learning field
## 193 This position is open as of 10/21/2018.Machine Learning EngineerIf you are a Lead Fullstack Engineer with experience, please read on! Voted in top 5 New Apps & Best Apps of 2017 and a top 10 trending App of 2018 by Apple.Top Reasons to Work with UsWe are an emotion-based search engine that utilizes machine learning to help people who are anxious, stressed, sad, or otherwise emotionally ill and improve their mood wherever and whenever they need. Our engine will deliver mental and emotional wellness content, personalized to each user's emotions and improve their mood. We are looking for someone who is truly passionate about helping others improve their mental and emotional health.What You Will Be DoingYou will be a mission driven engineer who strives to improve the world and the people living in it. You will be working directly with the co-founders to drive change and development for the future of our organization.Responsibilities include but are not limited to:-own and maintain our core recommendation system and product intelligence-build out and lead the data science & engineering team as we continue to grow-foster a strong company cultureWhat You Need for this PositionRequirements for this position:-At least 2 years or more of professional experience as a full time machine-learning engineer, preferably working on recommendation technologies.Bonus:-Native iOS or Android experience-Python, C++, JavaWhat's In It for YouBenefits:-unlimited vacation time-company-covered meals, outings, events, and more-Meaningful equity as an early employee-Healthcare, Dental, Vision-Beautiful downtown SF officeSo, if you are a Machine Learning Engineer with experience, please apply today!Required SkillsMachine Learning, Data Modelling, Software Engineering, C++, Python, JavaIf you are a good fit for the Machine Learning Engineer position, and have a background that includes:Machine Learning, Data Modelling, Software Engineering, C++, Python, Java and you are interested in working the following job types:Information Technology, Engineering, Professional ServicesWithin the following industries:Computer SoftwareOur privacy policy: Your resume and information will be kept completely confidential.Looking forward to receiving your resume through our website and going over the job in more detail with you!CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.Your Right to Work – In 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 verification document form upon hire.\n\nJob Requirements\n\nMachine Learning, Data Modelling, Software Engineering, C++, Python, Java
## 194 What this job involves:The Research Analyst position contributes to best-in-class research that differentiates JLL and builds and maintains a competitive advantage in the Miami marketplace through market expertise, analysis, and insight.The analyst’s primary responsibilities will be to track and analyze the Miami area commercial real estate market with a focus on data collection and presentation, financial analysis, and database management. This position will work closely with external research colleagues, brokerage professionals and clients in the Miami market, as well as with research colleagues throughout the nation within JLL’s Americas Research group.Our Research Analyst will help to guide all aspects of the local data platform for office data collected and analyzed for the Miami area. Our Analyst will build and continue to elevate a best-in-class research program that differentiates JLL and drives a competitive advantage in the marketplace through market expertise, analysis and insight. You will be responsible for achieving data excellence, to enhance our offerings in the areas of business intelligence, data visualization, and graphical output. Objectives:Closely track, record and update data on the Miami office and industrial commercial real estate market, including data related to properties, leases, tenants, availabilities, developments, sales and owners, the local economy, demographics and company performance, among other aspects of the market\nCommunicate data excellence and insights via traditional reporting products and the use of advanced data visualization tools, including JLL’s new and proprietary technology\nActively contribute to JLL’s internal data management system and adopt or discover new creative uses for its content and visualization tools\nPublish quarterly market reports on office and industrial product in the Milwaukee Market\nPerform financial analysis for lease transactions\nPartner with brokerage leaders to contribute to business development efforts and grow the business\nContribute to client presentations by covering market intelligence, trends, and statistics\nKeep track and inform brokerage leaders of local and national commercial real estate news\nRegularly update building stacks with current tenant information for essential properties in the market \nSound like you? Before you apply it’s worth knowing what we are looking for:Bachelor’s degree and strong academic performance required\nDemonstrated passion in real estate with a strong commitment to learning micro- and macro-level market dynamics\nExcellent Excel skills\nGIS or Tableau experience is a plus (MapIT, ArcGIS, etc.)\nStrong quantitative skillset with an ability to identify new insights and trends through data analytics\nCollaborative attitude and willingness to both work independently and as part of a dynamic team\nOrganized and proactive approach\nAbility to multitask and effectively manage time and workload\nKnowledge, Skills & Abilities: Strong organizational, data collection, validation and auditing skills\nStrong written and oral communication skills a must\nCommand of local markets and business, with good understanding of macro trends and historical perspective\nHigh level analytical skills and problem-solving abilities\nAbility to multi-task, work under pressure, and manage time and workload\nSelf-starter who works independently and thinks proactively and strategically\nDemonstrate proficiency in requisite technology, including Excel, Word, and PowerPoint\nDesire to contribute to the team within a diverse, collaborative, and driven professional environment\nGIS experience and interest and the ability to work with mapping software and techniques (ESRI, Google Earth Pro) is a plus\nProactive and strategic thinking and ability to align research with the business and innovate research output\nCommand of requisite technology including Excel, PowerPoint, and Word and database systems is required\nAbout JLL Research:JLL Research consists of 400 full time professionals globally and is the largest research group in the real estate industry and among the best of any world-wide professional services firm. Our mission is "To create clear competitive advantage for our clients through the strategic use of accurate data, market intelligence and innovative thinking from around the world". Our research activities include maintaining comprehensive property market databases, analyzing current market conditions and future trends, understanding the factors that drive property performance and occupancy trends, and providing research-led strategy and advice to investors, developers and occupiers around the world. We are committed to developing new metrics and methodological tools to capture and understand the factors driving office, retail and warehousing/logistics real estate markets across the world and bring insight to the future for our clients.What you can expect from us:You’ll join an entrepreneurial, inclusive culture. One where we succeed together – across the desk and around the globe. Where like-minded people work naturally together to achieve great things.Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, wellbeing, benefits and pay. We’ll offer you a competitive salary and benefits package.Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you.Apply today!#LIJLL Is an Equal Opportunity EmployerJLL is committed to developing and maintaining a diverse workforce. JLL strongly believes in equal opportunity extended to all individuals in all aspects of the employment relationship, including recruitment, hiring, training, promotion, transfer, discipline, layoff, recall and termination without regard to race, color, religion, belief, creed, age, sex, pregnancy or maternity (including childbirth and related conditions), family responsibility (e.g. child care, elder care), nationality, ethnic or national origin or ancestry, citizenship, marital status, civil partner status, sexual orientation, gender identity or expression, transgender status, veteran’s status, genetic information, trade union membership, social position, political view or status as a qualified individual with a disability, protected leave status or any other protected characteristic in accordance with applicable law. The company also endeavors to make reasonable accommodations for known physical or mental limitations of otherwise qualified employees and applicants with disabilities unless the accommodations would impose an undue hardship on the operation of our business and ensures that employment decisions are based only on valid job requirements.For employees in the United States, please see a fully copy of our Equal Employment Opportunity and Affirmative Action policy at https://jll2.sharepoint.com/CorporatePolicies/HR%20Policies/Equal%20Employment%20Opportunity%20and%20Affirmative%20Action.pdf. If you have questions about careers at JLL or are disabled and require further assistance in applying for a position, please contact us at [Click Here to Email Your Resumé]
## 195 ResponsibilitiesSabre Systems Inc. is seeking a Sr. Computer Scientist to work within the Air Acoustic Signal Processing (AASP) Project which is engaged in development of Signal Processing Applications for the Department of Defense (DOD). Familiar with Linux Operating Systems and Java programming languages. Demonstrate an ability to design, implement and test display and control software for applications under various Linux operating systems that are applicable to the Project. Applies knowledge of computer science concepts and techniques, mathematics, and methods of statistical analysis to develop and apply automated solutions to engineering, scientific, or business data acquisition and management problems. Uses mathematical, statistical, and scientific logic to identify conceptual or theoretical solutions to problems of automated data processing (ADP) hardware or software systems design and operations. Analyzes and formulates architectural and functional specifications, interfaces, and data structures. Researches applications for ADP hardware, software, and operating systems. Writes, modifies, and adapts computer programs in machine level, assembly, and third or fourth generation programming languages. May act as team leader or supervisor, developing project plans, guidelines, or controls, and directing the work of other computer scientists, specialists, and technicians.\nQualificationsBS or BA degree in Computer Science, Information Systems Management, Mathematics, Statistics, or Engineering. At least three (3) years of computer specialist experience. At least one (1) year of the total experience shall have consisted DETAILED DUTIES AND POSITION REQUIREMENTS Established ability to design, implement and test complex display and control software applications. Displays and Controls will be applicable to the P-8A Aircraft Acoustic Subsystem; Should be prepared to participate in processes applicable to DOD Weapon Systems such as: Software Requirements Reviews (SRRs), Preliminary Design Reviews (PDRs), Critical Design Reviews (CDRs), Test Readiness Reviews (TRRs) Write computer software documentation for the requirements, design and use of applications display and control software applications; Experience in the use of Word, Excel, and PowerPoint; Self-motivated individual to learn new Software Development Environments (SDEs) and rehost existing software applications to those new environments. Additional experience in the following areas a plus: P-8A Poseidon A/C System Air Anti-Submarine Warfare Displays and Controls development Experience with LINUX Experience with Java Programming Experience with C/C++ Programming Other Air ASW platforms: LAMPS and P-3C Experience with Visio Familiarity with GIT, SVN and CVS. Candidate will be required to pass a background check for this position. Must be able to obtain and hold a DoD secret clearance or higher.\nOverviewSabre Systems, Inc. is a quality driven, customer focused large business providing innovative solutions in the areas of Cyber, C4ISR, Business Intelligence and Data Analytics, and Enterprise Modernization to federal and civilian customers. Our mission is to ensure our customers have the technology, services, and expertise to overcome threats, maintain superiority, and quickly adapt to emerging obstacles. At Sabre, we're more than just a job - we're a team - and we care for and nurture our employees like family. If you want to be a part of creating and implementing enduring solutions that transform mission challenges into mission success \\u2013 join Sabre!We respect the unique perspectives that a diverse workforce of minorities, women, individuals with disabilities, and protected veterans brings not only to our company, but also to our customers. Sabre provides an excellent benefits package, which includes healthcare, paid days off, tuition reimbursement, and a 401K plan.EOE Minorities/Females/Protected Veterans/Disabled #CB-PH1 #LI-PH1
## 196 Summary:Implements strategic asset management and enhanced NGM/RCM roadmap to integrate the client's CICS (Operations Center), energy management program, maintenance program and life-cycle asset management approach. Drives cost savings through appropriate reallocation of resources, reduced overtime spend, reduced third party contractor requirements, energy management, optimization of equipment lifecycles and reduced business risk. Develops analysis methods to determine reliability of components, equipment and processes in accordance with JLL’s enhanced NGM program. Acquires and analyzes data from CICS and continually improves NGM program to meet outcomes-based performance measures. Conducts ongoing maintenance maturity assessments in alignment with NGM. Oversees root cause failure analysis (RCFA) and analysis of reliability problems to determine the required reliability approach for the particular situation, with consideration given to the cost limitations for equipment uptime/downtime, repair/replacement costs and weight, size and availability of materials/equipment. Determines cost advantages of alternatives and develops action plans that comply with internal/external customer demands for reliability processes/equipment to avoid failures.Education: B.S. degree in engineering, or equivalent (preferred). Otherwise, strong operations/RCM work experience and training.Experience: Ten to 15 years’ experience implementing RCM programs, operations financial management, CbM/PdM methods, operating building automation and energy management systems, and thorough understanding of asset management, data analytics, and capital planning approaches.Position Responsibility:Works under general direction of TS/ES platform for instruction in deploying the client's strategic asset management roadmap with matrix reporting back to the client's lead engineer (FM). Integrates data from CICS (BAS), maintenance program, and capital planning to develop life-cycle analyses and recommendations for repair vs. replacement decisions.Considers impact of costs on recommended action plans for avoiding/correcting problems during the design phase or remedial action for correcting reliability problems on installed equipment; performs root cause failure analysis to help prevent failures.Plans and performs engineering operations, monitors operations center systems, RCM program implementation, process engineering assignments, root cause failure analysis (RCFA), incorporation of condition-based maintenance (CbM) and predictive testing and inspection (PT&I) technologies, and conducts equipment condition assessments.Coordinates the use of other engineers and technicians to accomplish the objective of cost-effective reliability improvements for maintenance and projects.Recognizes that assignments are broad in nature and require appreciable originality and ingenuity to complete them and considerable latitude for un-reviewed actions or decisions.Supports JLL operational compliance program and follows company safety and health guidelines and other company policies.Performs other work as assigned.#LIJLL Is an Equal Opportunity EmployerJLL is committed to developing and maintaining a diverse workforce. JLL strongly believes in equal opportunity extended to all individuals in all aspects of the employment relationship, including recruitment, hiring, training, promotion, transfer, discipline, layoff, recall and termination without regard to race, color, religion, belief, creed, age, sex, pregnancy or maternity (including childbirth and related conditions), family responsibility (e.g. child care, elder care), nationality, ethnic or national origin or ancestry, citizenship, marital status, civil partner status, sexual orientation, gender identity or expression, transgender status, veteran’s status, genetic information, trade union membership, social position, political view or status as a qualified individual with a disability, protected leave status or any other protected characteristic in accordance with applicable law. The company also endeavors to make reasonable accommodations for known physical or mental limitations of otherwise qualified employees and applicants with disabilities unless the accommodations would impose an undue hardship on the operation of our business and ensures that employment decisions are based only on valid job requirements.For employees in the United States, please see a fully copy of our Equal Employment Opportunity and Affirmative Action policy at https://jll2.sharepoint.com/CorporatePolicies/HR%20Policies/Equal%20Employment%20Opportunity%20and%20Affirmative%20Action.pdf. If you have questions about careers at JLL or are disabled and require further assistance in applying for a position, please contact us at [Click Here to Email Your Resumé]
## 197 Job Title: Reliability Engineer - Sterling Heights, MI Job Description: Job Title: Reliability Engineer Job Location: Sterling Heights, MI Job Description: * Support various program, provide reliability and logistics support. * Perform reliability engineering and statistical data analysis activities. * Perform Reliability assessments of new concepts including predictions, allocations, Failure Modes, Effects, Criticality Analysis (FMECA), Reliability Growth Analysis (RGA), and Logistic Support Analysis (LSA). * Perform reliability assessment of design. Follow/monitor results of vehicle testing. Investigate and report pattern incidents. Perform corrective action investigations * Conduct Root Cause and Corrective Action process, Lead and Maintain FRACAS, Global 8D, and DMAIC. * Interface with Reliability data bases and run Reliability models (RELEX, Reliasoft, etc) * Prepare data for scoring/assessment conferences and upper management presentations. * Run Design for Six Sigma and Robust Engineering projects * Bachelor's Degree in mechanical, electrical engineering. Other degrees will be considered with relevant experience. * Experience in reliability/maintainability disciplines desired. * Background in military vehicle design development, or engineering analysis will be considered in lieu of reliability/maintainability experience. * Personal computer skills (competent with MS Office applications) * Experience in report preparation and technical writing beneficial. * Ability to read and interpret technical drawings (blueprints, schematics, hydraulic and pneumatic flows). * May be required to work in prototype shop and field test environment periodically. * Some travel required (minimal). * Must meet ASR. * Interface / coordinate effectively with engineers, support organizations, and customer. * Occasional week day and / or week end overtime required. * Must be able to obtain a security clearance. Additional Details: Job ID: 341991Dept ID: 10547Location: Sterling Heights, MI United States of AmericaIndustry: Engineering / EngineeringJob Type: Temp PositionFolder Group ID 57 Posted Date:10/12/2018 Domain:arna Contact: [Click Here to Email Your Resumé]
## 198 Every day at Perspecta, we enable hundreds of thousands of people to take on our nation’s most important work. We’re a company founded on a diverse set of capabilities and skills, bound together by a single promise: we never stop solving our nation’s most complex challenges. Our team of engineers, analysts, developers, investigators, integrators and architects work tirelessly to create innovative solutions. We continually push ourselves—to respond, to adapt, to go further. To look ahead to the changing landscape and develop new and innovative ways to serve our customers.Perspecta works with U.S. government customers in defense, intelligence, civilian, health care, and state and local markets. Our high-caliber employees are rewarded in many ways—not only through competitive salaries and benefits packages, but the opportunity to create a meaningful impact in jobs and on projects that matter. Perspecta’s talented and robust workforce—14,000 strong—stands ready to welcome you to the team. Let’s make an impact together.Perspecta is an AA/EEO Employer - Minorities/Women/Veterans/Disabled and other protected categories\n\nResponsibilities\n\nCyber Operations Research Analyst II. Provide operations research analysis support for intelligence, cyberspace operations, contingency operations, and operational-level planning, joint and multilateral training exercises, and strategic engagement policy. Analyzes actual and predictable, interacting, operational activities of systems to obtain a quantitative, rational basis for decision-making through the application of logic and scientific or economic disciplines and techniques. Devises modeling and measuring techniques to investigate complex issues and solve problems. Assists in addressing requirements and the evaluation of data assessment strategies: sampling, statistical analysis, evaluation, flow processing, and management assessment strategies. Develops cost-benefit analysis, data collection, data analysis, risk analysis, simulation model execution, economic analysis, and operational effectiveness studies.\n\n\nJob Requirements\n\nExperienced with model development and testing as well as gathering, relating, and identifying data with variables in models. Has developed reports noting various alternatives and success probability when there is no single solution. Possesses an understanding of cyberspace doctrine, policies, operations, and organizations. Background includes quantitative experience and/or education (e.g., mathematics, statistics, etc.). Edu/Exp: HS +11-14 Years, BA/BA 5-10 Years, or MA/MS +3-6 Years.
## 199 Every day at Perspecta, we enable hundreds of thousands of people to take on our nation’s most important work. We’re a company founded on a diverse set of capabilities and skills, bound together by a single promise: we never stop solving our nation’s most complex challenges. Our team of engineers, analysts, developers, investigators, integrators and architects work tirelessly to create innovative solutions. We continually push ourselves—to respond, to adapt, to go further. To look ahead to the changing landscape and develop new and innovative ways to serve our customers.Perspecta works with U.S. government customers in defense, intelligence, civilian, health care, and state and local markets. Our high-caliber employees are rewarded in many ways—not only through competitive salaries and benefits packages, but the opportunity to create a meaningful impact in jobs and on projects that matter. Perspecta’s talented and robust workforce—14,000 strong—stands ready to welcome you to the team. Let’s make an impact together.Perspecta is an AA/EEO Employer - Minorities/Women/Veterans/Disabled and other protected categories\n\nResponsibilities\n\nCyber Operations Research Analyst III. Provide operations research analysis support for intelligence, cyberspace operations, contingency operations, and operational-level planning, joint and multilateral training exercises, and strategic engagement policy. Analyzes actual and predictable, interacting, operational activities of systems to obtain a quantitative, rational basis for decision-making through the application of logic and scientific or economic disciplines and techniques. Devises modeling and measuring techniques to investigate complex issues and solve problems. Assists in addressing requirements and the evaluation of data assessment strategies: sampling, statistical analysis, evaluation, flow processing, and management assessment strategies. Develops cost-benefit analysis, data collection, data analysis, risk analysis, simulation model execution, economic analysis, and operational effectiveness studies. Mentors mid-level and junior staff.\n\n\nJob Requirements\n\nExperienced with model development and testing as well as gathering, relating, and identifying data with variables in models. Has developed reports noting various alternatives and success probability when there is no single solution. Possesses an in-depth understanding of cyberspace doctrine, policies, operations, and organizations. Background includes quantitative experience and/or education (e.g., mathematics, statistics, etc.). Edu/Exp: HS 16+ Years, BA/BA 10+ Years, or MA/MS 8+ Years.
## 200 Every day at Perspecta, we enable hundreds of thousands of people to take on our nation’s most important work. We’re a company founded on a diverse set of capabilities and skills, bound together by a single promise: we never stop solving our nation’s most complex challenges. Our team of engineers, analysts, developers, investigators, integrators and architects work tirelessly to create innovative solutions. We continually push ourselves—to respond, to adapt, to go further. To look ahead to the changing landscape and develop new and innovative ways to serve our customers.Perspecta works with U.S. government customers in defense, intelligence, civilian, health care, and state and local markets. Our high-caliber employees are rewarded in many ways—not only through competitive salaries and benefits packages, but the opportunity to create a meaningful impact in jobs and on projects that matter. Perspecta’s talented and robust workforce—14,000 strong—stands ready to welcome you to the team. Let’s make an impact together.Perspecta is an AA/EEO Employer - Minorities/Women/Veterans/Disabled and other protected categories\n\nResponsibilities\n\nCyber Operations Research Analyst I. Supports operations research analysis for intelligence, cyberspace operations, contingency operations, and operational-level planning, joint and multilateral training exercises, and strategic engagement policy. Helps analyze actual and predictable, interacting, operational activities of systems to obtain a quantitative, rational basis for decision-making through the application of logic and scientific or economic disciplines and techniques. Helps other research analysts devise modeling and measuring techniques to investigate complex issues and solve problems. Assists in addressing requirements and the evaluation of data assessment strategies: sampling, statistical analysis, evaluation, flow processing, and management assessment strategies. Assists with developing cost-benefit analysis, data collection, data analysis, risk analysis, simulation model execution, economic analysis, and operational effectiveness studies.\n\n\nJob Requirements\n\nFamiliar with model development and testing as well as gathering, relating, and identifying data with variables in models. Has developed reports noting various alternatives and success probability when there is no single solution. Possesses a general understanding of cyberspace doctrine, policies, operations, and organizations. Background includes quantitative experience and/or education (e.g., mathematics, statistics, etc.). Edu/Exp: HS +6-8 Years or BA/BS +0-4 Years.
## 201 Be a part of a fortune 500 Combat Systems group and a global leader in the design, development, production, support and enhancement of tracked and wheeled military vehicles. Our client has a 70 year defense heritage of providing a full spectrum of high quality, technically superior, high value products and services to the United States and its Allies. Their employees are dedicated to making the Company the World’s preferred supplier of land vehicles and weapons systems. \n\nIf you take pride in your work, want a challenge that inspires your best ideas, and enjoy being part of a winning team, this is the place for you.\n \nReliability Engineer\n(U.S. Citizenship Required*)\nSterling Heights, MI\n2018-7077\n\nResponsibilities:\nDevelop and maintain Reliability RAM-C model using modern Database tools, such as Python, R, SQL, MS Access, MS Excel, etc.\nSupport various program, provide reliability support.\nPerform reliability engineering and statistical data analysis activities.\nPerform Reliability assessments of new concepts including predictions, allocations, Failure Modes, Effects, Criticality Analysis (FMECA), Reliability Growth Analysis (RGA), and Logistic Support Analysis (LSA).\nReview TIRs and produce FACARs based on Engineering work\nPerform reliability assessment of design. Follow/monitor results of vehicle testing. Investigate and report pattern incidents. Perform corrective action investigations\nConduct Root Cause and Corrective Action process, Lead and Maintain FRACAS.\nInterface with Reliability data bases and run Reliability models (Reliasoft, etc.)\nPrepare data for scoring/assessment conferences and upper management presentations.\nRun Design for Six Sigma and Robust Engineering projects\n\nJob Requirements\n\nQualifications:\nAble to obtain clearance\nExperience in reliability/maintainability disciplines required. \nPersonal computer skills (competent with MS Office applications, Databases, Programming Languages - Python, R, SQL, etc.)\nExperience in report preparation and technical writing beneficial.\nAble to read and interpret technical drawings (blueprints, schematics, hydraulic and pneumatic flows).\nMay be required to work in prototype shop and field test environment periodically.\nSome travel required (minimal).\nMust meet ASR.\nInterface / coordinate effectively with engineers, support organizations, and customer.\nOccasional week day and / or week end overtime required.\n*U.S. Citizenship is required by law, regulation, executive order, or government contract. \n\n\nEducation and Experience: \nBachelor's Degree in Computer Science, Mechanical, or Electrical engineering. \nOther degrees will be considered with relevant experience.\n\n\nConditions of Employment:\nApplicants selected for employment will be required to pass a pre-employment drug screening and background investigation which may include education, criminal and work history verifications.\n\nAbout Our Company:\nMoseley Technical Services, Inc. is dedicated to providing our clients with a high standard of quality products and services. For two decades, our reputation has been built on this dedication and the long-term relationships developed with some of the most prestigious companies in the aerospace and defense industries. These business relationships give you the opportunities to not only find a job but to find one you can value and enjoy. We will be dedicated to you and to making your career a success.\n\nAccepted applicants will have the opportunity to be eligible for benefits, including medical and supplemental insurance and a 401K. Appreciation and gratitude for employees is a hallmark of organizations with low turnover. \n\nMoseley Technical Services, Inc. is an AA/EEO/Veterans/Disabled Employer.\n\nJoin a team that values your experience!\n
## 202 System One seeking a R&D 3 Engineer for the Raleigh, NC Location MUST BE A U.S. CITIZEN or GREEN CARD HOLDER 4 month assignment Job Description: Development of algorithms using Machine Learning for transformer monitoring data analysis, including trend analysis, abnormal condition alert and performance prediction. Machine learning development to predict transformer performance (impedance, loss and temperature) from design parameters and test data. Image recognition from transformer pictures to identify defects or abnormal condition Deployment of developed algorithm into application, platform building, data pipeline setup, full stack software development and link with commercial machine learning platform. Requirements: 5 years minimum experience in machine learning, data mining, image recognition and full stack programming in industrial setting. Knowledge of status of art machine learning algorithms, open-source models and commercial services. Full stack software development experience, Experience of building data pipeline and machine learning platform from scratch Self-motivated, creative fast-learner.
## 203 Job Summary\nThe Senior Operations Research Analyst B researches, develops, and implements O.R. applications for UPS. He/she identifies operations enhancement opportunities and ensures the success and relevance of O.R. projects. This position enhances Industrial Engineering software tools and provides data and progress report on projects for senior managers. He/she researches state-of the-art techniques in operations and algorithms and analyses current processes for UPS operations. This position may manage supervisors. The Senior Operations Research Analyst B reports to the manager or the staff manager.\nThe Senior Operations Research Analyst B analyzes, evaluates, and supports existing optimization models. He/She researches, designs and develops integrated solutions to business problems. This position obtains and shares knowledge on new operations research techniques, as well as provides ad hoc analyses for UPS business problems.\nOther Duties\nDetermines if model changes are necessary to make the tool produce desired results.\nReviews results with work groups to ensure the results are acceptable.\nDefines how models should be incorporated into UPS systems.\nConfers with the software development groups to establish requirements and obtain test data.\nInteracts with O.R. faculty in universities and reads journals and technical papers to ensure awareness of current research work.\nVisits UPS operational facilities to observe and increase knowledge of UPS Operations.\nTests solution methods to ensure accuracy.\nCreates prototype models for testing and evaluation.\nPreferred Competencies\nConducts Research: Uses the research problem to guide relevant data gathering and benchmarking; develops a working knowledge of literature related to the research problem; minimizes personal biases that may impact the research process or outcomes; gathers data that represent all sides of the business case.\nDesigns/Develops Integrated Solutions to Business Problems: Demonstrates a broad understanding of business requirements or critical elements of a problem; identifies the impact of a problem on multiple areas of the business; recommends improvements to existing processes or programs.\nSmall Package Operations Knowledge: Demonstrates a detailed understanding of processes, procedures, and methods within small package operations; demonstrates a broad knowledge of tools, equipment, and technology used in small package operations; identifies root causes of recurring issues; describes the general structure of small package operations.\nTechnology Knowledge: Recognizes the basic impact of technology on UPS business, services, and processes; identifies technological barriers in achieving desired objectives; maintains appropriate breadth and depth of technological knowledge for current work assignment.\nWork Methods, Processes, Flows Analysis: Describes the general impact of requirements, problems, or inefficiencies on other parts of the operation or processes; conducts basic analyses and identifies issues impacting the accuracy of data analysis.\nMinimum Quualifications \nPhD (or internationally comparable degree) in Operations Research or related area– Preferred\nExperience in implementing Operations Research systems - Preferred\nUPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law
## 204 ESG Automotive is the go-to source for electrical engineering consulting in the automotive industry. Join ESG Automotive’s team and help create the technology of tomorrow.\n\n\nJob Title: ADAS Algorithm Developer\n\nLocation: Troy, Michigan\n\nWhat you’ll be doing:\n\nAn ADAS Algorithm Developer you will be part of an integrated global team, you will develop robust, real-time, vehicle control algorithms for autonomous driving using active safety radar and vision systems.\n\nResponsibilities include:\nAlgorithm development including: Lane centering, Automatic Lane Change, Adaptive Cruise Control, Lane Keep Assist, Forward Collision Warning, Emergency Automatic Brake, Blind Spot Alert, Cross Traffic Alert, etc.\nData analysis to assess and correct performance deficiencies\nIn-Vehicle testing and debugging with dSPACE/ControlDesk and CANoe\nFunction demonstration to OEMs and customer requirement implementation\nOptimization for real-time implementation\nPerformance assessment and reporting\n\n\nWhat’s in it for you:\nCompetitive compensation with bonuses\nExcellent benefits including:\nMedical/Dental/Vision Insurance\nEmployer paid Life and AD&D Insurance, Short-term and Long Term Disability Insurance\n401k with employer match and immediate vesting\nFlexible Spending Account\nGenerous paid time off package including Vacation, Personal/Sick, and Holiday\nTuition Reimbursement\nEmployee Referral Program\nEmployee Assistance Program\nTravel Assistance Program\nDynamic place to work with variety of projects\nStrong work/life balance\nOpportunity for growth\n\nCompany Overview:\n\nLet the innovative developments and newest technologies in the world of electronics captivate you.\n\nESG Automotive Inc. is a sound and steadily growing company. As part of the ESG Group, it is able to offer committed employees the professional environment of an internationally active company with locations in the USA and Europe. For five decades, the ESG Group has been developing, integrating and selling electronics and IT systems and is regarded as a high-tech company for technology transfer between different markets.\n\nDue to our broad range of customers and our activities in future-oriented industries, we offer challenging tasks and activities. Technology and consulting are entwined in all areas of our business. Shorter chains of communication and an open corporate culture make for a straightforward and pleasant working environment in which our employees are able to grow and develop.\n\nAs we operate in the high-tech sector, we place particularly high demands on our employees: In addition to solid specialist knowledge and industry experience, we are looking for professional and quality-oriented individuals who are customer- oriented and are able to quickly integrate in multi-disciplinary teams.\n\nJob Requirements\n\nWhat you need for this position:\nBasic qualifications:\nBachelor’s degree in electrical engineering, computer science or robotics\n2+ years of experience in one more of the following areas in the automotive industry: PID controller, machine learning, Detection and Estimation, Kalman Filter, Artificial Intelligence, Robotics, digital signal processing.\nPreferred qualifications:\nA background in one or more of the following areas: RADAR, computer vision, sensor fusion, path planning, road model estimate, target selection, vehicle control features, numerical methods, and statistical methods.\nStrong knowledge of algorithm development in Simulink, Stateflow, and MATLAB scripting.\nKnowledge of production code generation using MATLAB Coder/Simulink embedded coder.\nSolid C coding skills for algorithm’s production C code integration, debugging, compilation and data log re-simulation.\nProficient in-vehicle debugging and testing skills using vehicle CAN communication tools (CANoe, CANalyzer, etc.), dSPACE/ControlDesk.\nResults oriented, and previous demonstrated experience in product quality and innovation.\nProactive and rigorous, with strong problem solving capability.\nAble to develop cost competitive, state of the art, technology for best in class products
## 205 Lennox International (LII) is a leading global provider of innovative climate control solutions for heating, ventilation, air conditioning, and refrigeration (HVACR) markets.Beginning over a century ago, Lennox International has built a strong heritage of Innovation and Responsibility. Our position as an innovation leader continually inspires us to promote more efficient energy use and a healthier environment through our product operations. Our engaged and diverse workforce is committed to providing climate control solutions that provide the most value and comfort for our customers. We are proud to have instilled a shared sense of responsibility and commitment among our approximately 10,000 employees located throughout North America, South America, Europe, Asia, and Australia.\n\nJob Description\nThe Strategic Reliability team is looking for an experienced reliability engineer to join our team. This individual will take a leading role in promoting Design for Reliability activities and collaborating with the Component Engineering and Platform Engineering design teams to deliver increasing levels of product reliability. The ideal candidate will have a minimum experience of 8 years of which 4+ are in product / component design.Responsible for implementing core reliability activities such as product requirements management, design for reliability in product development, and promoting robust design approaches:Participate in all phases of product development, product implementation, advanced problem solving and continuous improvement.\nManage DFR deliverables outlined in the toll-gate process in a timely fashion.\nFacilitate DFMEA sessions to drive design choices and improve validation test planning.\nCoach design engineers through DFR activities (ex: DFMEA, DVP&R).\nProvide relevant data and analysis for reliability goal setting.\nProvide expertise in test planning and reliability data analysis.\nProvide coaching in the area of root cause analysis and physics of failure analysis.\nChair Failure Reporting Analysis & Corrective Action System (FRACAS) Failure Review Board and Early Launch Containment (ELC) processes.\nLeading continuous improvement projects:Identifying and documenting use, installation & environmental profiles.\nDocumenting reliability centric lessons learned for various HVAC products & components.\nLeading the creation of design standards that impact reliability (ex: create procedures and standards for fan/motor integration, suction and discharge tube design and qualification standards …).\nOwn reliability allocation.\n\nQualifications\nBachelor of Science in Engineering.\n8+ years of relevant experience with 4+ in component / system design.\nDemonstrated ability to lead by influence.\nAbility to effectively communicate complex technical information in a clear and concise manner.\nDemonstrated ability in root cause analysis and physics of failure analysis.\nDemonstrated ability to solve data driven and analytical problems.\nDemonstrated experience working with and improving reliability of electro-mechanical systems.\nDemonstrated application of Design for Reliability (DFR) tools.\nWorking knowledge of applied statistics and experience with statistical software such as Weibull++ and Minitab.
## 206 Every day at Perspecta, we enable hundreds of thousands of people to take on our nation’s most important work. We’re a company founded on a diverse set of capabilities and skills, bound together by a single promise: we never stop solving our nation’s most complex challenges. Our team of engineers, analysts, developers, investigators, integrators and architects work tirelessly to create innovative solutions. We continually push ourselves—to respond, to adapt, to go further. To look ahead to the changing landscape and develop new and innovative ways to serve our customers.Perspecta works with U.S. government customers in defense, intelligence, civilian, health care, and state and local markets. Our high-caliber employees are rewarded in many ways—not only through competitive salaries and benefits packages, but the opportunity to create a meaningful impact in jobs and on projects that matter. Perspecta’s talented and robust workforce—14,000 strong—stands ready to welcome you to the team. Let’s make an impact together.Perspecta is an AA/EEO Employer - Minorities/Women/Veterans/Disabled and other protected categories\n\nResponsibilities\n\nResponsible for applying appropriate operations research modeling techniques to problems that model input, output and logical flow in sufficient detail for programming. Must be capable of monitoring the mathematical and programming aspects of project for adherence to objectives of the model. Must be capable of developing models that can utilize simulation. Incumbent must be capable of applying operations research methodology to define and formulate military systems and operational analysis. Must have knowledge of principles, theories, procedures and techniques to include statistical concepts, linear regression, optimization, game theory, graph theory, design of experiments, heuristic problem solving, monte carlo methods, stochastical processes, reliability theory, multiple criteria decision making, normative theory of decisions, applied integer, linear and non-linear programming, quantitative analysis, data analytics. Candidate should have experience in using a variety of tools to support the analysis (Excel, R, OR-Tool for Python, SAS, etc) as well as experience with software languages to include (Python, Visual Basic Applications, etc.). Experience in leading analysis efforts and supervising junior staff.Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decision making, policy formulation, or other managerial functions. May collect and analyze data and develop decision support software, service, or products. May develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation.\n\n\nJob Requirements\n\nRequires minimum of 15 years industry experience. Masters or PhD in Computer Science, Engineering, Operations Research or related technical discipline from an accredited college or university. One year of relevant education may be substituted for one year of required experience.DoD TS/SCI clearance.
## 207 We are seeking an exceptional hands-on technical leader with a proven track record to join the U.S. Bank Digital Innovation team. This team is responsible for advancing the applied use of Artificial Intelligence and Machine Learning at U.S. Bank, defining the AI strategy and showcasing the potential for AI through early-stage solutions (e.g. “art of the possible”) as well as supporting major enterprise-wide AI/ML initiatives. Take on some of technology’s greatest challenges and make a significant impact to millions of users by leveraging the bank’s unique data assets to drive groundbreaking work in AI/ML that can be applied at massive scale across U.S. Bank lines of business. Work alongside digital and innovation leadership teams in a newly renovated office space downtown. Distinguished Engineers are recognized as experts in one or more domains within U.S. Bank and across the industry. They represent the senior technical experts within the organization and have a strong track record of growing and influencing others. As a Distinguished Engineer, you will be responsible helping to shape the go-forward AI strategy of the organization; working with senior leaders, vendors, and partners to influence business and technology roadmaps and the adoption of AI across the enterprise. In addition, you will teach, mentor, and grow other domain experts within the organization. Distinguished Engineers will connect teams to one another in a spirit of collaboration and will champion opportunities to make teams more efficient. This is an executive-level individual contributor role requiring excellent acumen in using technical prowess and ingenuity when representing U.S. Bank’s AI/ML capabilities in internal and external forums. The ideal candidate will have previously served in a leadership capacity in the use of AI/ML. He/She will play a diverse and far-reaching role in the organization, providing leadership and influencing adoption of technical solutions, strategies and design patterns across multiple teams and stakeholders. Required Qualifications• Graduate degree (PhD preferred) in a quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science, and 8 years of experience in a highly quantitative position. • Comprehensive knowledge of modern and cutting-edge ML techniques, tools, and best practices • 5 years of hands-on experience developing and operationalization advanced machine learning with track record of success and proven outcomes. • Ability to develop and debug in Python, Java, C or C . Proficient in git version control. R and Matlab are also useful. • Extensive experience with machine learning APIs and computational packages (e.g. TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas). • Experience with big data architecture and distributed computing tools (e.g. Map/Reduce, Hadoop, Hive, Spark, Kafka, etc.) • Ability to design and evaluate key metrics of your model’s performance which are aligned with business goals. • Proven track record of strong verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams. Preferred Qualifications • Advanced time series analysis, natural language understanding, NLP or financial engineering background • Strong background in Mathematics and Statistics • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal or open-source contribution • Familiarity with big-data technologies such as Maven, Hadoop, Spark, SparkML, etc. • Experience with distributed systems, GPUs and cloud-based training of deep neural networks • High enthusiasm, integrity, ingenuity, results-orientation, self-motivation, and resourcefulness in a fast-paced environment • Knowledge in Reinforcement Learning or Evolutionary Learning
## 208 Our client on the cutting edge of the electrical mechanical industry is looking for a fast hire in this 4-month contract role in Raleigh, NC. If this would be of any interest to you, please respond ASAP!Job description:\nDevelopment of algorithms using Machine Learning for transformer monitoring data analysis, including trend analysis, abnormal condition alert and performance prediction.\nMachine learning development to predict transformer performance (impedance, loss and temperature) from design parameters and test data.\nImage recognition from transformer pictures to identify defects or abnormal condition\nDeployment of developed algorithm into application, platform building, data pipeline setup, full stack software development and link with commercial machine learning platform.\nRequirements:\n5 years minimum experience in machine learning, data mining, image recognition and full stack programming in industrial setting.\nKnowledge of status of art machine learning algorithms, open-source models and commercial services. \nFull stack software development experience, Experience of building data pipeline and machine learning platform from scratch\nSelf-motivated, creative fast-learner.
## 209 Duration: 12 Months with possibility of extension\n\n\nDescription\nProvide solid technical skill and engineering support for development activities for existing products. \nSupport current products in terms of quality, manufacturing, supply continuity and cost improvement.\nEngineer robust and manufacturable products through strong understanding and application of engineering fundamentals. \nWrite detailed technical reports based on design verification analysis / testing for design changes and product design activities. \nAbility to utilize statistical tools, perform data analysis, and strong technical writing skills (required).\n\n\nJob Requirements\n\nExperience\n4-5 years of engineering experience is required. \n\nEducation\nBS degree in engineering is required. \n
## 210 Grant Thornton is seeking a Senior Associate to join its Decision Analytics service line and take an active role in engagement execution, project management and key business development activities.Grant Thornton Public Sector helps executives and managers at all levels of government maximize their performance and efficiency in the face of ever tightening budgets and increased demand for services. We give clients creative, cost-effective solutions that enhance their acquisition, financial, human capital, information technology, data analytics, and performance management. For more information, visit grantthornton.com/publicsector.At Grant Thornton, our professional staff applies traditional, cutting-edge approaches and methods to a variety of analyses. As part of our team, the Senior Associate will utilize various methodologies and models to execute client projects.ESSENTIAL DUTIES:The team’s primary responsibility is to provide quantitative analysis and reporting of Client’s frontline hiring process. \nAnalysis and reporting revolves around identifying and planning for process improvements and projecting frontline staffing levels considering new hires and attrition. Projections require probability analysis of a multi-step process in which each step has unique distribution parameters. \nIn addition, the team provides ad hoc analysis to answer leadership’s questions regarding hiring process. Current products are developed using a variety of tools to include Excel, R, Access, Stata, and Tableau. \nThe Operational Research Analyst will support modifications to the current model and develop new models to answer ad hoc questions. \nThe analyst will be a subject matter resource on analysis methods and will be required to research and apply advanced analysis to improve the team’s analysis capabilities. \nAdditionally, the analyst will be required to provide support to develop monthly reporting and ad hoc inquires.\nMeet or exceed targeted billing hours (utilization).\nAssist with business development activities, such as proposals, capture, account teams, whitepapers, conferences, and/or other thought leadership materials.\n\nJob Requirements\n\nMin. of 3 yrs in performing complex analysis \nAdvanced Excel; Intermediate R and SQL; coding experience \nIntermediate data visualization: Tableau, Microstrategy, PowerBI, etc \nProbability and projection \nBachelor’s in Industrial Engineering, Operations Research, Stats, Math, or Econ\nIdeal - Master’s in Industrial Engineering, Ops. Research, Stats, Math, or Econ \nSupport data exploration, survey analysis, and/or data mining projects \nWorkforce staffing planning, hiring analytics\nAbility to obtain and maintain certain job-related certifications if no job-related advanced degrees.\nU.S. citizenship may be required. Ability to work in the United States indefinitely required.\nTravel may be required.\nAbility to work overtime required on occasion.\nAbility to sit in an office environment for long periods of time.\nAbility to obtain and maintain a security clearance.\nAbility to communicate clearly in writing and verbally.\nAbility to obtain and maintain firm independence and abide by firm ethics requirements.\nMeet or exceed continuing professional education (CPE) requirements.\nGrant Thornton LLP is the U.S. member firm of Grant Thornton International, one of the six global accounting, tax and business advisory organizations. Grant Thornton’s Public Sector, based in Alexandria, VA, is a global management consulting business with the mission of providing responsive and innovative financial, performance management and systems solutions to governments and international organizations. Visit Grant Thornton’s Public Sector at www.grantthornton.com/publicsector. It is Grant Thornton’s policy to promote equal employment opportunities. All personnel decisions, including, but not limited to, recruiting, hiring, training, promotion, compensation, benefits and termination, are made without regard to race, creed, color, religion, national origin, sex, age, marital status, sexual orientation, gender identity, citizenship status, veteran status, disability, or any other characteristic protected by applicable federal, state, or local law
## 211 APC is seeking 4 Operations Research Analysts with varying levels of experience to work at our client’s site in Midtown Atlanta, GA. As an Operations Research Analyst, you will be responsible for researching, developing, and implementing advanced quantitative models to improve operating efficiency, reduce cost and increase revenue. You will have direct contact with business partners and you will participate in identifying business requirements, collecting and performing data analysis, developing models, and generating reports to address business needs. Required Qualifications: A graduate degree (Ph.D. preferred) in operations research, industrial engineering, or a related engineering and management discipline from an accredited University in the US Strong analytical abilities and problem solving skills Strong knowledge of operations research and experience in formulating and implementing optimization models Familiarity with commercial optimization solvers, such as, IBM ILOG CPLEX Ability to work in UNIX or LINUX platforms and proficiency in Java programming language is required Experience with SQL and relational databases Ability to communicate effectively through oral presentations and written reports Good interpersonal skills Preferred Qualifications: Knowledge of Approximate Dynamic Programming technique is a plus Knowledge of machine learning algorithms is a plus Knowledge of software development methodology is a plus Candidates with experience in transportation industry are preferred Meet APC Company – Staffing – 501 – 1000 employees APC is a professional services organization focused on engaging people and positively impacting lives. We offer excellent benefits and the opportunity for longevity, working with our premier fortune 100 clients. As professionals serving professionals, we take pride in providing our employees with the highest level of customer service and support, creating meaningful, fulfilling and rewarding experiences every day. APC is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified individuals will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, genetics, or veteran status.
## 212 Learn and work on meaningful initiatives with some of the best and brightest in the market research industry. The NPD Group provides the world’s most successful brands with leading market research, combining consumer and retail point-of-sale data with analytic solutions to interpret today’s market trends while anticipating tomorrow’s. In addition, we offer a career filled with innovation and growth to the forward-thinking problem solvers who join our team.Position OverviewYou’re a passionate, dynamic, and highly motivated individual who’s looking for an opportunity to have an impact on some of the most well-known companies in the world. This integral member of the Operations team will be responsible for the quality control of the identification and coding of products and product attributes for use in downstream data reporting to NPD clients. If you enjoy working with data and enjoy working through a challenge, this job is for you! Responsibilities include but are not limited to:Understanding, evolving, and overseeing the core quality processes.\nEnsuring the quality and timeliness of the Apparel dictionary, according to production schedules.\nDeveloping proficiency in NPD’s proprietary software such as NAV1, etc.\nIdentifying Retailer or processing problems in the data.\nRecommending and implementing changes that will either improve quality or decrease timing.\nDrive Process improvement in everyday work and enforce process standardization.\nProvide guidance in the planning and launching of critical products for the practice.\nWork in a highly collaborative environment with minimal supervision.\nAbility to work on multiple priorities and/or projects simultaneously.\nProblem solving abilities and ability to meet reasonable deadlines. \nQualifications:BA/BS or equivalent.\n2-3 years experience\nStrong aptitude and knowledge of software programs.\nExperience in data processing environment, retailer knowledge, category/industry knowledge and consumer/category knowledge a plus.\nKnowledge of data collection and data analysis and interpretation methodologies.\nAbility to think conceptually and analytically.\nStrong attention to detail.\nAbility to flex and adapt to changing business needs.\nStrong communication, problem solving and decision making skills.\nImprovement mindset displayed on projects.\nAbility to multitask and meet strict deadlines.\nEmbraces teamwork & possesses ability to effectively work cross functionally.\nStrong MS Office (Excel, Word, Outlook, Access).\nSAS knowledge a plus\nDiscipline The ideal candidate will possess knowledge and show interest in the Apparel industry. Candidates will be competent in managing their time and activities and must embrace our proven opportunity and customer management processes and systems. Candidates must possess a "can-do" perspective in their professional attitude. They will be detail oriented and demonstrate a strong work ethic. They will be sticklers for accuracy in their own work as well as their colleagues.The NPD Group, Inc. is an Affirmative Action/Equal Opportunity Employer. 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 or any other characteristic protected by law.
## 213 GDIT has an opportunity for a junior- to mid-level Process Analyst in Falls Church, Virginia. The Process Analyst will be working with a large line of business within GDIT that is currently supporting multiple contracts for the government in the DC Metro area. We are seeking an energetic, talented individual with a demonstrated ability to excel and a desire to take their career to the next level in Change and Process Management in their role as a Process Analyst supporting mission critical IT services for the Pentagon Force Protection Agency (PFPA). The selected candidate will support the Process Manager in leading the coordination and implementation of a comprehensive process documentation and organization effort; supporting the change and configuration management program; overseeing the execution of change; and promoting continuous process improvement. The analyst may also perform tasks supporting asset management efforts including, but not limited to, data analysis, inventory control, and product research.The Process Analyst performs complex administrative and analytical tasks in support of a contract program.Establishes and executes change and configuration management programs in accordance with ITIL framework best practices.\nDocuments and defines supporting processes and manages oversight of execution of change to the IT infrastructure.\nCoordinates and communicates information regarding change, configuration and asset management activities.\nProvides program level deliverable compilation, coordination, and submission support.\nWe are looking for candidates with background, knowledge, or experience in the following areas:1. Process implementation and executionFamiliarity with the ITIL framework and best practices, including its implementation and socialization in a workplace setting\nSharePoint site collection administration\nDocumentation and establishment of processes\nExecution and management of change and configuration management requirements\n2. Presentation and documentation skillsAbility to develop presentations using Microsoft PowerPoint or other software\nCapable of preparing and adept at presenting information to senior leadership and customers\nExcellent attention to detail and very strong MS Office skills (Excel, Word, PowerPoint)\n3. TeamworkMust be willing to work with diverse teams\nMust have a strong desire to achieve\nMust have strong personal initiative and excellent communication skills\nMust be capable of extracting data from team members, translating information into process documentation, and coordinating work efforts\n\nJob Requirements\n\n2-5 years of related IT or Change Management experience.All items listed below are requirements for consideration of employment:All candidates must be US citizens and hold a minimum Secret security clearance.\nBS/BA degree from an accredited university.\nImpeccable communication skills, both written and verbal.\nWillingness to work flexible hours. The IT business does not always offer standard 9-5 hours; all candidates must be willing to perform work during normal business hours or as required for project delivery.\nThere is no telework option on the program except in the rare event of severe weather.\nOn site primary work location is the Bailey’s Crossroads area in Falls Church, VA; occasional travel may be required to the GSA warehouse, Pentagon, Mark Center, or alternate sites in the National Capitol Region (NCR).\nThe ideal candidate has a strong desire to extend themselves to learn all facets of the IT business and contribute to the growth of the business.\nAs a trusted systems integrator for more than 50 years, General Dynamics Information Technology provides information technology (IT), systems engineering, professional services and simulation and training to customers in the defense, federal civilian government, health, homeland security, intelligence, state and local government and commercial sectors.With approximately 32,000 professionals worldwide, the company delivers IT enterprise solutions, manages large-scale, mission-critical IT programs and provides mission support services.GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.#cjpostWPPM12
## 214 AccruePartners values our contract and consulting employees. We offer a competitive benefits package to meet the diverse needs of all of our contractor and consulting employees and their family members. Here is a listing of what our company offers: 401(k) Medical, Dental, Vision, Life Insurance, Employee Assistance Program, Medical and Prescription Drug, Short and Long-Term Disability Insurance. THE TEAM YOU WILL BE JOINING:Fortune 500 manufacturing and technology organization with significant investment in R&D and Innovation Rich history with over 150 years of significant growth and innovation Expanding global footprint in North America, South America, Europe and Asia Industry leader within all 8 divisions and leader in each Known for growing talent internally and promoting internally\nWHAT THEY OFFER YOU:Culture: Highly collaborative, teamwork-oriented environment Growth: Make an immediate impact in this high visibility role Opportunity: Ability to drive change within organization with a focus on process improvement Stability: Strong executive leadership team investing in its talent and elevating the global footprint\nWHERE THIS POSITION IS LOCATED:Painted Post, NY\nWHY THIS ROLE IS IMPORTANT:Participate in the design of high quality processes that align with best practice and enable high quality service. SME for ITIL processes such as Incident, Problem, Knowledge Request Fulfillment, Event, etc. as well as project resource with a focus on ITSM Processes. Identify process impact based on tool modifications and interface with key stakeholders of ITSM processes. Identify sources of data to define improvement opportunities and provide input for process design and identified improvements. Incorporate key vendors/partners into existing processes. Contribute to the usage of PEx Tools and organizational feedback to drive continual improvement. Familiarization with industry best practice process benchmark in comparison with existing processes to drive Improvement. Analysis of process performance results and development of proposed action plan. Identify training needs, develop training and deliver training. \nTHE BACKGROUND THAT FITS:Minimum level of education: Two year degree 2 years’ of experience with process development, improvement Top three skills: ITIL, Process Development/Improvement, Data Analysis
## 215 Job Title: Operations Analyst - Sunnyvale, CA Job Description: Position : Operations Analyst Location : Sunnyvale CA Duration : 1 year contract with possible extension Overview: As an Incentive Operations Analyst on the partner team, you'll manage the day to day operations of key incentive programs, and the reporting and data analysis, supporting our partner ecosystem including the accurate management of program budgets up to $XXM per year. You will be responsible for budget tracking, ensuring accurate reporting, issuing payments to partners, providing timely support to both external and internal stakeholders, as well as contributing to operational efficiency and program analysis projects as needed. You will be involved in multiple projects simultaneously involving managing project schedules, identifying risks, and maintaining clear communications with all stakeholders in order to stay coordinated on a project’s progress and deadlines. Overall, your role will be key towards maintaining a high level of partner satisfaction, data and incentive budget accuracy, and ensuring the success of incentive programs. Overall Responsibilities: Manage daily operations of partner incentive programs within an assigned support response SLA Develop and maintain accurate reports of partner incentive performance, including monitoring of payments earned and progress against program budget Communicate progress of overall incentive against budget and provide recommendations based on data trends Support the operations of making partner payments within SLA Provide excellent, timely support to both internal and external stakeholders on detailed programs with occasionally changing requirements Proactively seek resolutions to issues via communication to the appropriate stakeholders and creating or updating processes as needed Track ongoing status against program timelines to ensure program launches, process updates, communications, etc. are made on time Skill/Experience/Education Mandatory Required Skills: BA/BS degree in any field; ideally Business, Accounting, or Finance, or 6+years equivalent practical experience 3-4 years experience managing projects, and experience tracking and analyzing financial data in a business analyst, business operations, finance, or accounting type role Self-starter with strong motivation to achieve accurate project completion in a highly dynamic environment with multiple competing priorities Ability to flag and escalate urgent scenarios regarding impact to contractual obligations appropriately Strong communicator with the ability to speak with project team and stakeholders Experience working in other partner program teams in technology companies. Strong analytical skills and ability to put together operational dashboards and trackers. Extensive experience working with spreadsheets including formulas, pivot tables, data importing, and scripts. Highly detail oriented with the ability to ensure compliance with company and business policies. Excellent communication skills with ability to communicate effectively using different mediums and across multiple levels ranging from managers to other staff, to external parties. Proficiency with Salesforce and G Suite (Gmail, Docs, Sheets, Slides, Drive). 1-2 years experience writing BigQuery/SQL queries. Basic understanding of the Cloud industry. Desired Experience with other channel partner incentive programs in the technology industry. Additional Details: Job ID: 341173Dept ID: 10600Location: Sunnyvale, CA United States of AmericaIndustry: Information Technology / IT - SystemsJob Type: Temp PositionFolder Group ID 89 Posted Date:9/28/2018 Domain:arna Contact: [Click Here to Email Your Resumé]
## 216 A leading healthcare company is seeking a strong Machine Learning Engineer. You will need to have experience in both software development as well as data science. Qualifications5+ years of overall development/IT experienceMust have strong experience with R, Python and/or JavaStrong familiarity with machine learning conceptsMust have experience with Hadoop, MapReduce, Spark, and cloud computingMust have some automation experienceMust have experience with SQL and NoSQL database
## 217 Senior Biostatistician This role will be responsible for statistical consulting and biostatistics support within the Biometrics and Data Solutions Division. This role is intended to contribute to the quality of data analysis and reporting deliverables for clinical trials across various phases and therapeutic areas and as needed provide statistical analysis and reporting. \n\nJob Requirements\n\nM.S. in Statistics, Biostatistics or Biometry with 6 + years of experience in the pharmaceutical or the Bio-Tech industries OR Ph.D in statistics, biostatistics, or biometry and 3 + years of industry experience.\nAbility to interact with authorities on statistical issues at the trial level.\nThorough knowledge of statistical methodology, processing clinical trial information and the drug development process.\nAbility to communicate statistical information to non-statisticians.\nAbility to write publications (as joint author) in clinical trials.\nExcellent oral and written communication skills.\nAbility to manage project from a statistical perspective.\nDemonstrated ability to design, conduct and analyze a complex trial\nEvidence of strong teamwork in order to successfully work with a trial team and project level team members
## 218 Non Exempt positionJob Description:\nParticipate in the design of high quality processes that align with best practice and enable high quality service. SME for ITIL processes such as Incident, Problem, Knowledge Request Fulfillment, Event, etc. as well as project resource with a focus on ITSM Processes. Identify process impact based on tool modifications and interface with key stakeholders of ITSM processes. Identify sources of data to define improvement opportunities and provide input for process design and identified improvements. Incorporate key vendors/partners into existing processes. Contribute to the usage of PEx Tools and organizational feedback to drive continual improvement. Familiarization with industry best practice process benchmark in comparison with existing processes to drive Improvement. Analysis of process performance results and development of proposed action plan. Identify training needs, develop training and deliver training.Minimum level of education:\nTwo year degree\n2 years' of experience with process development, improvementTop three skills:\nITIL, Process Development/Improvement, Data Analysis\nNesco Resource is an equal employment opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status, or any other legally protected characteristics with respect to employment opportunities.
## 219 Machine Learning/Data Engineer -Chicago, IL Location: USA, Chicago, ILSalary: Competitive base salary + Company Equity + Bonuses + full medical benefits +profit sharing+ remote flexbility Technology: AWS Big Data JobsJob Type: Full time PermanentDate Posted: October 11, 2018My client is seeking a Data Engineer to join the team that brings solutions to clients through our services and technology. In this role, you will gain exposure to a wide variety of tasks and technology including development, diagnosis, deployment, and operations -- a great opportunity for someone with good understanding data management. You will become an expert in our data domains, act as a trusted advisor to architects and engineers, and become a crucial part of the deployment and operations of our systems. Ideal Candidate and should demonstrate the following skills:Software engineering or other technical discipline (or equivalent work experience)\n3-8 years of data engineering, data science support experience, or software engineering * Object-oriented and functional programming and testing patterns\nEngineering (commercial or open source) software platforms and large-scale data infrastructures * Strong knowledge in multiple programming languages:\nSpark\nScala or Python\nKubernetes\nKafka\nAkka (nice to have)\nplus any others\nSignificant knowledge of data modeling and understanding of different data structures and their benefits and limitations under various use cases\nDeployment in cloud/container environments.\nDemonstrate strong problem-solving abilities, interpersonal communication skills\n Benefits & BonusFull medical/health insurance (employee and family)\nCompany Match 401k program/Stock Options/Bonus\nPaid Metro Pass\nPaid Certifications\nPTO, plus Sick time\nMassive opportunity for growth and career advancement\nIf you or someone you know is interested in this position, please send your resume directly to [Click Here to Email Your Resumé] or please call (John Kelly) 212-731-8282. My client is looking to start the interview process as soon as possible and the job will not be available long please act fast. Jefferson Frank is a leader in Niche IT Recruitment with a focus on cloud technologies including Azure & AWS, as well as Big Data, Data Science and BI. We deal with both Microsoft Partners, AWS partners & End Users throughout North America. We have open positions and relationships with some of the top partners and end users throughout the US and offer some excellent opportunities in the BI, Big data space. I understand the need for discretion and would welcome the opportunity to speak to any Big Data and cloud analytics candidates that are considering a new career or job either now or in the future. Confidentiality is of the upmost importance. For more information on available BI jobs, as well as the Business Intelligence, Big data and cloud market, I can be contacted at 212-731-8282. Please see www.jeffersofrank.com for more information.\n\nJob Requirements\n\nMachine Learning/Data Engineer -Chicago, IL Location: USA, Chicago, ILSalary: Competitive base salary + Company Equity + Bonuses + full medical benefits +profit sharing+ remote flexbility Technology: AWS Big Data JobsJob Type: Full time PermanentDate Posted: October 11, 2018My client is seeking a Data Engineer to join the team that brings solutions to clients through our services and technology. In this role, you will gain exposure to a wide variety of tasks and technology including development, diagnosis, deployment, and operations -- a great opportunity for someone with good understanding data management. You will become an expert in our data domains, act as a trusted advisor to architects and engineers, and become a crucial part of the deployment and operations of our systems. Ideal Candidate and should demonstrate the following skills:Software engineering or other technical discipline (or equivalent work experience)3-8 years of data engineering, data science support experience, or software engineering * Object-oriented and functional programming and testing patternsEngineering (commercial or open source) software platforms and large-scale data infrastructures * Strong knowledge in multiple programming languages:SparkScala or PythonKubernetesKafkaAkka (nice to have)plus any othersSignificant knowledge of data modeling and understanding of different data structures and their benefits and limitations under various use casesDeployment in cloud/container environments.Demonstrate strong problem-solving abilities, interpersonal communication skills Benefits & BonusFull medical/health insurance (employee and family)Company Match 401k program/Stock Options/BonusPaid Metro PassPaid CertificationsPTO, plus Sick timeMassive opportunity for growth and career advancementIf you or someone you know is interested in this position, please send your resume directly to [Click Here to Email Your Resumé] or please call (John Kelly) 212-731-8282. My client is looking to start the interview process as soon as possible and the job will not be available long please act fast. Jefferson Frank is a leader in Niche IT Recruitment with a focus on cloud technologies including Azure & AWS, as well as Big Data, Data Science and BI. We deal with both Microsoft Partners, AWS partners & End Users throughout North America. We have open positions and relationships with some of the top partners and end users throughout the US and offer some excellent opportunities in the BI, Big data space. I understand the need for discretion and would welcome the opportunity to speak to any Big Data and cloud analytics candidates that are considering a new career or job either now or in the future. Confidentiality is of the upmost importance. For more information on available BI jobs, as well as the Business Intelligence, Big data and cloud market, I can be contacted at 212-731-8282. Please see www.jeffersofrank.com for more information.
## 220 Job Number: R0038441Operation Research AnalystKey Role:Provide analytic and research support to the Integrated Personnel and Pay System-Army (IPPS-A) Functional Management Division (FMD). Assist and participate in the design, execution, and reporting of analytical studies. Analyze the actual and interacting functional support activities of a government system to obtain a quantitative and rational basis for decision making and resource allocation. Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assist FMD representatives with decision making, policy formulation, or other managerial functions. Assist with developing metrics to monitor the effectiveness of the functional products, services and processes, and reflect status of efforts accomplished or in development, including policies and regulations requiring updates, system implementation progress, business cases process mapping and re-engineering. Assist with activities that develops, implements, and monitors deployment readiness metrics and assist to show results of audits and reconciliation activities. Develop Microsoft PowerPoint charts and Microsoft Excel spreadsheets and pivot tables for presentation to the clients and stakeholders.\nBasic Qualifications:-3 years of experience with mathematical modeling and application of statistical principles and techniques-Experience with data analysis, including the use of data visualization tools-Knowledge of how to apply probability and statistical techniques to large and complex data sets-Ability to collaborate with government managers, other contractors, staff, stakeholders, and work on teams-Active Secret clearance-BS degree in Operations Research, Data Science, Applied Mathematics, or Statistics\nAdditional Qualifications:-3+ years of experience with working in operations research, systems analysis, management sciences, or closely related field-3+ years of experience with working as an operations research analyst in the DoD, preferably Army or HQDA-Experience with Microsoft Excel and PowerPoint products-Ability to apply database query languages and pull data from authoritative databases-Ability to apply decisions theory and portfolio analysis to strategic resourcing decisions-MS degree in Operations Research, Data Science, Applied Mathematics, or Statistics\nClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.
## 221 Description:\nDescription\\:\n \nBoehringer\nIngelheim is currently seeking a talented and innovative Intern to join our Biostatistics\nand Data Sciences (BDS) department\nlocated at our Ridgefield, Connecticut facility. As an Intern, you will work\nwith a senior-level statistician on a statistical research project related to\nthe pharmaceutical industry and clinical trials. Potential topics may include\nsurvival analysis, Bayesian methods, dose-finding, etc. with applications to\noncology, immunology, cardiology, respiratory, or central nervous system\ndisorders. Interns are expected to present the results of their research at the\nend of the program and may have the opportunity to summarize their work in a\npeer-reviewed publication.\n \nAs an employee of Boehringer Ingelheim, you will actively\ncontribute to the discovery, development and delivery of our products to our\npatients and customers. Our global presence provides opportunity for all\nemployees to collaborate internationally, offering visibility and opportunity\nto directly contribute to the companies' success. We realize that our strength\nand competitive advantage lie with our people. We support our employees in a\nnumber of ways to foster a healthy working environment, meaningful work,\ndiversity and inclusion, mobility, networking and work-life balance. Our\ncompetitive compensation and benefit programs reflect Boehringer Ingelheim's\nhigh regard for our employees\n \nDuties & Responsibilities\\:\n \nWork with a\nsenior-level statistician on a statistical research project related to the\npharmaceutical industry and clinical trialsPresent your\nresearch results at the end of the programMay have the\nopportunity to summarize your work in a peer-reviewed publication\n \nRequirements\\:\nMust be a graduate student in fields related to statistics,\nbiostatistics, data science, computer science, epidemiology, public health or\nmathematics with good academic standing (cumulative GPA must be at least 3.0,\non 4.0 scale)Must have completed 12 credit hours on a related major\nand/or other related courseworkM.S. or Ph.D. candidate with at least 2 years of studyDesired\nExperience, Skills and Abilities\\:Good written and oral communications skills strongly\npreferredDemonstrated proficiency in conducting statistical\nanalyses using SAS or R\n \nEligibility\nRequirements\\:\n \nMust be legally authorized to work in the United States\nwithout restriction.Must be willing to take a drug test and post-offer\nphysical (if required)Must be 18 years of age or older\n \nOur Culture\\:\n \nBoehringer Ingelheim is one of the world’s top 20\npharmaceutical companies and operates globally with approximately 50,000\nemployees. Since our founding in 1885,\nthe company has remained family-owned and today we are committed to creating\nvalue through innovation in three business areas including human\npharmaceuticals, animal health and biopharmaceutical contract\nmanufacturing. Since we are privately\nheld, we have the ability to take an innovative, long-term view. Our focus is on scientific discoveries and\nthe introduction of truly novel medicines that improve lives and provide\nvaluable services and support to patients and their families. Employees are challenged to take initiative\nand achieve outstanding results. Ultimately, our culture and drive allows us to\nmaintain one of the highest levels of excellence in our industry. We are also\ndeeply committed to our communities and our employees create and engage in\nprograms that strengthen the neighborhoods where we live and work. \n \nBoehringer Ingelheim, including Boehringer Ingelheim\nPharmaceuticals, Inc., Boehringer Ingelheim USA, Boehringer Ingelheim Animal\nHealth USA, Inc., Merial Barceloneta, LLC and Boehringer Ingelheim Fremont,\nInc. is an equal opportunity and affirmative action employer committed to a\nculturally diverse workforce. All\nqualified applicants will receive consideration for employment without regard\nto race; color; creed; religion; national origin; age; ancestry; nationality;\nmarital, domestic partnership or civil union status; sex, gender identity or\nexpression; affectional or sexual orientation; disability; veteran or military\nstatus, including protected veteran status; domestic violence victim status;\natypical cellular or blood trait; genetic information (including the refusal to\nsubmit to genetic testing) or any other characteristic protected by law.\n \nBoehringer Ingelheim is firmly committed to ensuring a\nsafe, healthy, productive and efficient work environment for our employees,\npartners and customers. As part of that commitment, Boehringer Ingelheim\nconducts pre-employment verifications and drug screenings.
## 222 Every day at Perspecta, we enable hundreds of thousands of people to take on our nation’s most important work. We’re a company founded on a diverse set of capabilities and skills, bound together by a single promise: we never stop solving our nation’s most complex challenges. Our team of engineers, analysts, developers, investigators, integrators and architects work tirelessly to create innovative solutions. We continually push ourselves—to respond, to adapt, to go further. To look ahead to the changing landscape and develop new and innovative ways to serve our customers.Perspecta works with U.S. government customers in defense, intelligence, civilian, health care, and state and local markets. Our high-caliber employees are rewarded in many ways—not only through competitive salaries and benefits packages, but the opportunity to create a meaningful impact in jobs and on projects that matter. Perspecta’s talented and robust workforce—14,000 strong—stands ready to welcome you to the team. Let’s make an impact together.Perspecta is an AA/EEO Employer - Minorities/Women/Veterans/Disabled and other protected categories\n\nResponsibilities\n\nOur intern program is designed to provide college students the opportunity to learn about Perspecta and gain meaningful, hands-on work experience in a professional environment. Perspecta’s summer internship program places an emphasis on developing the next generation’s workforce. This being said, as part of our internship curriculum we provide the opportunity for each intern to interact with various branches of the company. This includes the chance to participate in a corporate public speaking course, complete technical certification training courses, attend brown bag sessions with our executive leadership team and participate in teambuilding activities with mentors and fellow interns. Our culture of mentoring, continuous learning and team orientation will be obvious from your first day on the job. Our goal is to build a roadmap that leads you to a long, rewarding and challenging career with Perspecta. We work with you to determine your desired career path, and the correct steps to get you to your goals. At the end of the program each intern will give a brief presentation to our executive team summarizing their accomplishments and key takeaways achieved while working for us. Co-Op / Interns typically represent college students trying to gain related work experience while pursuing an undergraduate degree. Under direct supervision, performs various hands-on tasks and assignments for the organization's professional staff in such disciplines as Engineering, Software Development, Database Management, Security Threat Analysis. Internship Advantages: -Meaningful work related to national security -Primary channel for full-time, entry-level hires -Competitive pay -Opportunity for government security clearance -Interaction with executives -Organized professional development and social activities This ten-week paid internship program runs from May 29 to August 3, with the option to extend. We ask that each intern be available to work the duration of the ten weeks and commit to working a minimum of 30 hours per week. This program is geared towards technical college students, actively enrolled at a four year university, who will be rising into their senior year. Juniors may be considered if they have declared their major and have qualified coursework. The Data Science Intern will research weather data applications and related data.\n\n\nJob Requirements\n\nMust be a US citizen. May be required to obtain a government security clearance. Must be actively pursuing a 4 year degree at an accredited university. Must be pursuing a degree in engineering, mathematics, business, information technology, computer science, or related fields. An ideal candidate will be a rising junior or senior. An ideal candidate will have a 3.0 cumulative GPA or higher.
## 223 Where good people build rewarding careers.\nThink that working in the insurance field can’t be exciting, rewarding and challenging? Think again. You’ll help us reinvent protection and retirement to improve customers’ lives. We’ll help you make an impact with our training and mentoring offerings. Here, you’ll have the opportunity to expand and apply your skills in ways you never thought possible. And you’ll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life.\n\n\nJob Description\n\nWe are looking for an engaged and enthusiastic Software Engineer to join our growing Machine Learning Deployment Engineering team and build out the next generation of our platform. The ideal candidate is a hands-on platform builder with significant experience in developing scalable data platforms on an autonomous, empowered team. We’re looking for someone with experience in business intelligence, analytics, data science, and data products. They must have strong, firsthand technical expertise in a variety of configuration management and big data technologies and the proven ability to fashion robust scalable solutions that can manage large data sets. They must be at ease working in an agile environment with little supervision. This person should embody a passion for continuous improvement and test-driven development.\nKey Responsibilities:\n Devoted to making products that people love to use.\n Analyze, design and develop tests and test-automation suites.\n Design and develop a processing platform using various configuration management technologies.\n Participate in software development methodology in an agile environment.\n Provide ongoing maintenance, support and enhancements in existing systems and platforms.\n Collaborate cross-functionally with data scientists, business users, project managers and other engineers to achieve elegant solutions.\n Provide recommendations for continuous improvement.\n Work alongside other engineers on the team to elevate technology and consistently apply best practices.\n \n\nJob Qualifications\n\n\n\n Knows how to build high-quality, reliable applications that can handle enterprise scale.\n Hands-on experience working with technologies like Spring Framework, Redis, RDBMS, NoSQL.\n Knowledge of Hadoop, Hive, Oozie, Map Reduce, Spark, Sqoop, Kafka, Flume, etc.\n Strong DevOps focus and experience building and deploying to CloudFoundry; Experience with Docker and Kubernetes is a plus\n Experience with test-driven development and automated testing frameworks.\n Experience with Scrum/Agile development methodologies.\n Capable of delivering on multiple competing priorities with little supervision.\n Excellent verbal and written communication skills.\n Bachelor’s Degree in computer science or equivalent experience.\nWe’re looking for someone with 3-5 years of experience in B2B, has a BS degree in computer science or similar, and is familiar with the following software/tools:\n Experience with infrastructure automation technologies like Docker, Vagrant, etc.\n Experience with build automation technologies like Maven, Jenkins, etc.\n Experience with modern programming languages like Java, Python, C++, etc.\n Experience with building APIs and services using REST, SOAP, etc.\n Experience with scripting languages like Perl, Shell, Groovy, etc.\n\n\nThe candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.\nGood Work. Good Life. Good Hands®. \nAs a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy.\nLearn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.\nAllstate generally does not sponsor individuals for employment-based visas for this position.\n\nEffective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. \nFor jobs in San Francisco, please click 'here' for information regarding the San Francisco Fair Chance Ordinance. \nFor jobs in Los Angeles, please click 'here' for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.\nIt is the policy of Allstate to employ the best qualified individuals available for all jobs without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity/gender expression, disability, and citizenship status as a veteran with a disability or veteran of the Vietnam Era.
## 224 Our Media client is seeking a qualified Senior Tableau Engineer with the following:\nStrong enterprise Tableau skills, Data modeling/design, Visualizations for large datasets.\nExperience with OLAP technologies and data analytics, implementing data quality.\nAbility to present the visualizations/data ina inuitive, clear and concise manner.\nTroubleshooting skills, capable of investigating and mastering new datasets.\nGreat communication, comfortable with partnering with the business.\nExpert with SQL writing (Exposure to Python, R, Alteryx, or Java a plus)\nExposure to other reporting tools like QlikView or MicroStrategy a plus\nAn individual that has a Tableau Public page preferred.\nSyfter places top talent from entry-level to C-suite in Information Technology positions for consultants, contract to hire, and full-time positions. We provide creative staffing solutions for start-ups, small to medium-sized businesses, enterprise-level companies, Fortune 500, and non-profit organizations.\n\nJob Requirements\n\nOur Media client is seeking a qualified Senior Tableau Engineer with the following:\nStrong enterprise Tableau skills, Data modeling/design, Visualizations for large datasets.\nExperience with OLAP technologies and data analytics, implementing data quality.\nAbility to present the visualizations/data ina inuitive, clear and concise manner.\nTroubleshooting skills, capable of investigating and mastering new datasets.\nGreat communication, comfortable with partnering with the business.\nExpert with SQL writing (Exposure to Python, R, Alteryx, or Java a plus)\nExposure to other reporting tools like QlikView or MicroStrategy a plus\nAn individual that has a Tableau Public page preferred.\nSyfter places top talent from entry-level to C-suite in Information Technology positions for consultants, contract to hire, and full-time positions. We provide creative staffing solutions for start-ups, small to medium-sized businesses, enterprise-level companies, Fortune 500, and non-profit organizations.
## 225 Ref ID: 03200-0010653829Classification: Financial Business AnalystCompensation: $42.00 to $47.00 per hourOur client, a public company in South Charlotte, is seeking a Senior Data Analytics Auditor for a 2-3 month project! Senior Data Analytics Auditor performs a variety of data analytics/continuous auditing and Business Intelligence Activities, traditional audit and assurance activities and IT audit. Plan, perform, evaluate, summarize and communicate assigned risk assessments and audit activities in a professional, competent, independent and objective manner in accordance with department standards. Extract and analyze operational and financial data sets and using data analytics concepts and tools (SQL, Access, Tableau), create data analytics, and Business Intelligence reports. Interested, qualified, immediately available, and LOCAL candidates, please send an updated version of your resume to [Click Here to Email Your Resumé]. No phone calls, please! We will reach out if your background aligns with the role!\n\nJob Requirements\n\nSQL - Structured Query Language, Tableau, MS Access, Audit, IT Audit, Analysis, Data or Gap Analysis, SOX - Sarbanes-Oxley CPA, SAP, prior public accounting experience (Big 4 preferred)Our industry-leading alliances and broad client network provide you greater access to a variety of unique interim and long-term project opportunities that can keep you continuously engaged. We also provide competitive benefits and compensation packages, as well as online training and continuing professional education (CPE). Our parent company, Robert Half, has appeared on Fortune® magazine's list of "World's Most Admired Companies" since 1998. At Robert Half Management Resources, your experience matters - and we put it to good use. To apply for this position or for more information on other engagements, visit us online at roberthalfmr.com or call your branch office at 1.888.400.7474.All applicants applying for U.S. job openings must be authorized to work in the United States. All applicants applying for Canadian job openings must be authorized to work in Canada.© 2018 Robert Half Management Resources. An Equal Opportunity Employer M/F/Disability/Veterans By clicking 'Apply Now' you are agreeing to Robert Half Terms of Use.
## 226 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class:Data Science- 2019 Summer Intern Schedule – 40 hours a week, Monday – Friday // May 27 – Aug 2, 2019SummaryAdvance Auto Parts (AAP) is a $10 billion after-market auto parts retailer serving millions of customers across the US and Canada. As part of the Advance AI team, you will be leading AAP's push to use cutting-edge computing and data science to optimize nearly every aspect of current operations to increase revenue, cut costs, and, most importantly, anticipate the needs of our customers. Think ahead. Think Advance.General Job ResponsibilitiesWork 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 deliverable and presentations.Build prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Advance’s data structure and metrics.Create end-to-end data science solutions, inclusive of advanced models and analytics, to translate data-driven insights into actionable outcomes.Work with the latest open source tools, libraries, platforms and languages to explore billions of customer records and external data sources for relationships and actionable insights.Partner across the enterprise to enable and share best practices and reusable and scalable tools and code for our data scientist, data engineers and data architectsWork with our user experience and software development teams to design rich data visualizations and interactive solutions to communicate complex ideas to customers and company leaders.\n\nQualifications:\nSummer 2019 Rising Junior or Senior or first-year Masters student. Preferred Majors: Computer Science, Mathematics, Engineering or other relevant disciplines Some experience with a data science programming language (ex: R, SAS, and/or Python)\n\n\nJob Requirements\n\nWe are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class.
## 227 Certilytics offers a suite of innovative analytic solutions including Big Data Services, Total Population Health Management, Financial Risk Intelligence and Customized Prediction Models. These solutions are configured upon our open source Hadoop Platform, with the underlying philosophy of providing analytics as a service and moving beyond predictions to deliver actionable intelligence. Our team represents a dynamic infusion of multidiscipline which includes actuarial, data and behavioral scientists, IT engineers, software developers, nurse clinicians, as well as experts in public health and the health insurance industry. Certilytics has extensive experience working with a diverse set of customers including large self-insured employers, health plans, pharmacy benefit managers, government programs, care management companies and health systems. These relationships with various data providers and customers allows for rapid data ingestion, validation and enrichment as well as streamlined delivery of analytic dashboards, outputs and visualizations to our customers. Our unique approach allows for the development of the most accurate financial, clinical and behavioral models in the industry. Actuaries are responsible for measuring and evaluating risk utilizing data analytics. They will also help us to design and build best in class products by evaluating and making recommendations for improving processes. If you are someone who doesn't shy away from rolling up your sleeves and diving in, this position may be for you. Essential Function Participate in Product Design meetings, and assist in the product design, development and testing process Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques Provide expertise to customers and internally using Certilytic's advanced analytic techniques applied to actuarial, financial and underwriting concepts Assist with the development of reports and projects, including documenting methodology, designing reporting, and making recommendations based upon data analysis Identify complex healthcare data problems or issues, researches solutions, and implement steps to achieve higher level of efficiency for Certilytics analytic product offerings Provides analytical support to the Product Design, Data Science, Clinical, Data Logistics, and Operational Teams Conduct research and perform root cause analysis as part of responsibility for analytics projects All other duties as assigned. Required Skills Requirements Bachelor's degree in Actuarial Science, Mathematics, Economics, Statistics, Finance or related field. Fellow of the Society of Actuaries (FSA), Associate of Society of Actuaries (ASA) designation, or progressing towards ASA designation A minimum of 4 years actuarial experience. Strong knowledge of healthcare industry actuarial concepts, including trend, risk adjustment, care management, provider contracting, product pricing, underwriting principles and stop-loss. Understanding of healthcare operations from perspective of payer, PBM and provider. Proficiency with Microsoft Office and SQL. Strong actuarial, analytical and problem-solving skills. Knowledge of Medicare and Medicaid lines of business preferred Strong organizational and prioritization skills. Strong interpersonal and communication (verbal & written) skills. Ability to communicate business and technical information to people of various backgrounds. Stays current with profession's continuing education requirements. Ability to work under pressure and tight deadlines. Job Location Louisville, Kentucky, United States Position Type Full-Time/Regular
## 228 RESPONSIBILITIES:Kforce has a client in search of a Finance Analyst in Alpharetta, Georgia (GA).Summary:You gather disparate data from various data sources; analyze and normalize to ensure data integrity for analysis. You provide consistent, relevant, and accurate data as well as guidance/knowledge of the data and definitions that are available for analysis.Major Tasks, Responsibilities and Key Accountabilities: Serves as a resource to assigned client in area of expertise\n Gathers and compiles raw data; conducts research for industry trends and benchmarks; and normalizes data to be incorporated into a centralized data format\n Analyzes, reports, makes comparisons to industry/company benchmarks, determines trends, and prepares cost analyses\n Defines data definitions and documents data limitations\n Prepares spreadsheets for data analysis; prepare reports with charts and graphs, mailing lists, maps and ad hoc requests; May make presentations\n Provides recommendations based on findings and analysis; Provides input on policies and procedures\n Participates in department and interdepartmental projects\n Performs other duties as assigned\n May provide general guidance/direction to or train junior level support personnel or professional personnel\nWork Environment: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about; On rare occasions there may be a need to move or lift light articles\n Located in a comfortable indoor area; Any unpleasant conditions would be infrequent and not objectionable\n No travel required\n\nJob Requirements\n\nREQUIREMENTS: Demonstrates skill in data analysis techniques by resolving missing/incomplete information, inconsistencies/anomalies in more complex research/data\n Nature of work requires increasing independence; receives guidance only on unusual complex problems or issues; Work review typically involves periodic review of output by supervisor and/or direct "customers" of the process\nKforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status
## 229 Job Number: R0040147Installations Mission Capacity AnalystKey Role:Capture mission critical information at Army National Guard (ARNG) training sites around the US and categorize the collected data into levels of quality. Provide army leadership with information and insights into identification of installation deficiencies, resource planning, and improving the quality and volume of mission at individual ARNG sites. Provide technical expertise, online system administration, and support to client, as they conduct data collection and data submission processes. Leverage knowledge of ISR-MC’s two program areas: Mission Support and current mission, sustainability and future mission. Provide recommendations and summaries to the ARNG Installation status report program manager and Guard Bureau. Serve as a subject matter expert on improving quality and accuracy of data reporting. Maintain current ISR-MC curriculum and provide training to Guard Bureau personnel and travel to States for training, as needed.\nBasic Qualifications:-Experience with database management in Microsoft Excel and Access-Experience in data analytics, particularly knowledge of conducting trend and prediction analyses-Knowledge of military installations-Ability to provide efficient, effective, and timely oral and written communication to clients-Public Trust clearance-BA or BS degree\nAdditional Qualifications:-2 years of experience in working with Headquarters, Department of the Army (HQDA) installations and real property data systems\nClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Public Trust clearance is required.We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.
## 230 Overview\nThis role will support the Director of Financial Reporting in coordinating finance related activities for the Unlimited Vacations Club and across all ALG business units\n\nResponsibilities\nMonthly Business Close ProcessResponsible for coordination of the financial membership model monthly execution, updating Business Intelligence (BI) application and Financial Reporting system with model output\nResponsible for coordination of updates and maintenance to the financial membership model with external resources\nThe financial membership model provides financial information based on newly signed memberships and historical trends.\n\nMonthly Data Analysis \nResponsible for coordination of enhancements of the BI application\nIncrease of productivity by developing automated reporting/forecasting tools using Alteryx\nPrepare analysis for weekly forecast to identify trends, risks and opportunities for business improvement\nDrive financial modeling improvements to enhance forecasting and analytical processes\nIdentifying and driving process improvements, including the creation of standard and ad-hoc reports, tools and BI dashboards\nMonthly Business Unit Reviews\nReview P&L Drivers / variance analysis\nReview operating metrics / trend analysis\nProduce monthly financial reports as requested by mgmt.\nPrepare materials for Monthly closing and Forecast review \nAssist in the preparation of monthly and quarterly Board level and general financial reporting \nSupporting Senior Management Team and Departments heads with in-depth analysis\nPrepare presentations for the senior management team\nBusiness short term forecast process\nAssist weekly and monthly forecast\nAnalyze current and past trends in key performance indicators including all areas of revenue, cost of sales, expenses and capital expenditures\nAnnual planning and budgeting process\nAssist in creation of annual budget for mgmt. review\nParticipate in the annual budgeting process \nP&L, Capital projects, working capital and headcount\n\nQualifications\n2-5 years’ experience as a financial analyst in a mid-size or large organizationBS required, Master’s Degree preferredAdvanced Microsoft Excel skills and Data Analysis software (Alteryx)Travel and work schedule flexibilityStrong communication skillsPhysical Demands: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 occasionally required to stand, walk, sit, use hands to handle or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop; kneel; crouch or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.Work Environment: Work environment characteristics 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 exposed to weather conditions prevalent at the time.The noise level in the work environment is usually moderate.#ALG
## 231 The Government Actuarial Consultant will lead the accurate and timely data and financial analysis on large and complex state managed health capitation and other like projects. The Government Actuarial Consultant will also be the actuarial expert for projects and proposals, as well as the mentor for more junior actuarial staff and to oversee their basic actuarial work. To fulfill this role, the actuary will:Serve as lead or co-lead actuary on large and complex state managed health and capitation and other like projects. These projects are commissioned by government entities to determine the rates that they will pay for health and other like services covered by their plans.\nIn conjunction with the project leader, work with the client to define the scope of the project. Serve as expert on rate structure and methodology. Ensure project is consistent with federal regulations and actuarial standards. Determine the appropriate data sources for the specific project's data analysis.\nProvide actuarial oversight and guidance in developing the data model\nDevelop the rate setting assumptions that are built into the data model and inform client and project team on impact of data assumptions. Oversee data analysis that is conducted by junior staff members. Provide on-going review and guidance during the data analysis process. Review data analysis results for actuarial soundness. Present client with sub analyses throughout project cycle.\nCollaborate with client team and project team to finalize rates. Educate client on the impact of their policies on the data and rates.• Draft project communications, including rate capitation letters. Act as actuarial authority that signs and certifies rate capitation letters.• Present results and analysis to clients and key stakeholders. During presentations, answer detailed and challenging questions regarding the data• Serve as either an actuarial project lead or lead project manager.• Ensure project scope clearly defined, timelines clearly established, work allocated to staff members, project documents are completed and correct, keep project and client teams informed• May direct the work of employees in a team and/or coach/mentor others• Participate in request for proposal (RFP) process. Define approach to projects, methodology of data modeling and preliminary scope of actuarial work required to complete project. Draft proposals defining suggested methodologies and estimated scope of work for RFPs.• Stay current on the Health Policy environment and consider the implication of policy, law, political, etc. on the client and the client’s programs.\nQualificationsBA/BS degree\nActuarial credentials (ASA or FSA, MAAA) required\nMinimum seven years of H&B or relevant actuarial experience\nStrong analytical and mathematical skills; strong command of Excel\nExcellent interpersonal skills; strong oral and written communication skills\nAbility to prioritize and handle multiple tasks in a demanding work environment\nStrong critical thinking and analytical problem-solving skills\nAbility to work independently and on a team\nAbility to manage, motivate, and mentor more junior level staff\nAt Mercer, we make a difference in the lives of more than 110 million people every day by advancing their health, wealth, and careers. We’re in the business of creating more secure and rewarding futures for our clients and their employees — whether we’re designing affordable health plans, assuring income for retirement or aligning workers with workforce needs. Using analysis and insights as catalysts for change, we anticipate and understand the individual impact of business decisions, now and in the future. We see people’s current and future needs through a lens of innovation, and our holistic view, specialized expertise, and deep analytical rigor underpin each and every idea and solution we offer. For more than 70 years, we’ve turned our insights into actions, enabling people around the globe to live, work, and retire well. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. At Mercer, we say we Make Tomorrow, Today. Visit www.mercer.com for more information and follow us on LinkedIn and Twitter @MercerMarsh & McLennan Companies offers competitive salaries and comprehensive benefits and programs including: health and welfare, tuition assistance, 401K, employee assistance program, domestic partnership benefits, career mobility, employee network groups, volunteer opportunities, and other programs. For more information about our company, please visit us at: http://www.mmc.com/. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. For more information, please visit us at: www.mmc.com/diversity.Mercer LLC and its separately incorporated operating entities around the world are part of Marsh & McLennan Companies, a publicly held company (ticker symbol: MMC).Marsh & McLennan Companies and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.
## 232 Job Description BAE Systems is seeking qualified technical interns for our summer 2019 session. At BAE Systems, our interns spend their time collaborating with each other and our leadership to lead and create innovative, mission focused solutions to everyday challenges. All of this will lead to an engaging experience preparing you for the future. You will have the opportunity to apply your classroom experience in a challenging and fast paced business environment, and perform on meaningful work throughout the summer, while also supporting the development and growth of new skills in your chosen area of study.Required Skills and Education Required:Experience manipulating and combining data in various formats \nUnderstanding of ontology development and database structures\nCoursework in statistics\nCoursework in programming (preferably Python) \nSample projects (include Github or other link in resume)\nU.S. Citizen\nEligible to obtain a security clearance \nPreferred Skills and Education Desired:Experience with GIS or map-based data visualization/UIs\nExperience using APIs\nAbout BAE Systems Intelligence & Security BAE Systems Intelligence & Security, based in McLean, Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do—from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and defeat threats inspires us to push ourselves and our technologies to new levels. That’s BAE Systems. That’s Inspired Work. Equal Opportunity Employer/Females/Minorities/Veterans/Disabled/Sexual Orientation/Gender Identity/Gender Expression. To see Inspired Work in action, visit www.baesystems.com and follow us on Facebook: www.facebook.com/baesystemsintel.
## 233 FINANCIAL SYSTEMS ANALYST - Birmingham, ALDynamic company seeks an Financial Systems Analyst to embark on a successful career at our Corporate Headquarters. Motivated and energetic people with a sense of urgency will have the chance to join Ram Tool Construction Supply Co., the largest family-owned distributor of specialty commercial construction supplies in the Mid-Atlantic, Southeast, and Texas. Ram Tool has a vast product line with 90,000+ unique items to sell and over 90% of deliveries made within 24 hours. Working under the Director of Financial Analysis the Financial Systems Analyst will be responsible for developing and analyzing financial models and dashboards within MicroStrategy that will provide increased visibility and guidance to the Ram Tool management team. This person will also track numerous long term financial initiatives of the company and partner with management in various departments to perform ad-hoc analysis and reporting. RESPONSIBILITIES:Develop and maintain various financial models and dashboards within MicroStrategy\nPerform budgeting variance and forecasting analysis for various levels of management in different departments\nDevelop, streamline and automate controlling procedures to increase productivity that optimize data efficiency and quality\nAssemble and summarize complex reports on financial status, risks and trends\nDevelop various financial models and conduct benchmarking, when needed\nProduce clear, well defined reports that communicate financial stability \nProvide creative alternatives and recommendations for cost reduction and improved financial performance\nContinually develop and refine internal financial model to meet business needs\n REQUIREMENTS:Bachelor's degree in Finance or Data Analytics preferred\nMinimum 5 years of experience working in FP&A or related field\nExperience in cost accounting, controlling and budget analysis\nExperience developing reports using data analytics software such as Cognos, MicroStrategy or similar\nSAP knowledge preferred\nExcellent communication skills, both oral and written\nHigh level of proficiency within Excel and other Microsoft Office applications\nAbility to perform work with attention to detail and high degree of accuracy\nWork with a sense of urgency while completing daily tasks\nStrong critical thinking and problem-solving abilities\nTakes initiative and ownership of the process\n*Standard Drug Screen and Background Checks will be performed. RAM TOOL IS AN EQUAL OPPORTUNITY EMPLOYER
## 234 LMI is a not-for-profit government consulting firm, dedicated exclusively to advancing the management of the government. As a not-for-profit company, we deliver the best value for the government dollar as all revenues are directed to our mission of advancing government rather than to delivering shareholder value. We operate completely free of political and commercial bias, and we are entirely aligned with the goals of our clients. Our clients value our not-for-profit status and specialized services in logistics, intelligence, homeland security, health care, and energy and environment markets. We believe government can make a difference, and we seek talented, hardworking people who share that conviction.\n\nResponsibilities\n\nThe Financial Support Senior Analyst supports the client by performing budget execution analysis (comparing budgeted numbers to execution numbers), providing USTRANSCOM customers with timely and accurate cost estimates for their transportation requirements, developing USTRANSCOM billing rates, and answering ad hoc requests. We help the client in each one of these areas by automating where possible and then using our consulting skills to offer business insights.Duties may include:Provide financial and operational execution analysis, research, recommendation, and costed options for impacts and financial changes that result from operational planning changes.\nProvide cost comparison and economic analysis (EA) in discussion and for inclusion and consideration at decision points.\nConduct analyses of alternatives (AOA) and business case analyses (BCA)\nDevelop and apply cost models as necessary to address resource analysis issues\nDevelop new analysis methods and techniques to forecast long-range funding needs\nAssist in collecting data utilized to develop billing rates and automating the development of annual billing rates\nProvide Transportation Working Capital Fund (TWCF) execution analysis for Air Mobility Command (AMC) and Surface Deployment and Distribution Command (SDDC) programs\nModify/develop new functionality and/or resolve and fix issues with Rate Development and Data Analysis Program \nProvide monthly execution analysis, research, responses to customer inquiries, and be involved in the collection and presentation of data for various briefings and working groups\nAssist in preparation and of PowerPoint presentations, process summary reports, meeting minutes/ notes, and other program management documentation.\n\nQualifications\n\nMinimum 2 years of relevant experience working logistics, financial management, or business consulting\nAt least intermediate skills and abilities in the following applications and areas: Microsoft Excel (e.g.: VLOOKUPS, pivot tables, conditional formatting, subtotals, and graphs) and statistical analysis (mean/median/mode, deviations, probability distributions, and regression analysis)\nMust be able to work independently and perform analysis on ambiguous and large data sets across multiple projects with guidance and oversight by the task lead.\nMust be able to follow technical procedures and produce repeatable outcomes and products, as well as have the ability to create new, repeatable procedures in the delivery of products and analysis that at times may have somewhat ambiguous outcomes.\nMust be able to lead and collaborate with others in project team-oriented environment, communicate complex analyses verbally and in writing, and develop innovative approaches to solving technical challenges.\nBachelor’s or graduate degree in Business or a quantitative field, such as Economics, Mathematics, Operations Research, or Computer Science, is preferred. Other disciplines will be considered.\nExperience in the DoD is preferred.\nExperience working in a logistics field, such as transportation, is preferred.\nExperience with DoD financial systems (DEAMS, TFMS, FMS) is preferred.\nProficiency with Structured Query Language (SQL) for raw data collection from various government proprietary databases, and/or R for statistical computing and graphics, is a plus.\nFor this position, LMI will only consider applicants with a minimum of a SECRET clearance
## 235 Title: Bio Statistician\nLocation: Cambridge, MA \nDuration: 9-10 month\n \n \nRequired Skills: \n\nCLINICAL TRIAL\nCRO\nDATA ANALYSIS\nLME\nSAS\nAdditional Skills:\nTHERAPEUTIC\nWRITING SKILLS\nBIOSTATISTICS\nCLINICAL PROGRAMS\nMARKETING ANALYSIS\nSERIAL ATTACHED SCSI\nSTATISTICS\n\nJob Requirements\n\nAdditional Skills:\nTHERAPEUTIC\nWRITING SKILLS\nBIOSTATISTICS\nCLINICAL PROGRAMS\nMARKETING ANALYSIS\nSERIAL ATTACHED SCSI\nSTATISTICS
## 236 Job SummaryAnalyzes complex data to support the decision making on individual proposals and contracts related to pharmacy programs. Data analysis may include new product pricing, product portfolio, profitability of new opportunities with current and new clients, impacts of regulatory changes, capital analysis, and profit margin analysis. Responsible for developing, implementing, on-going monitoring of strategies and tools to ensure 3rd party pharmacy programs are in compliance with contractual terms and conditions pertaining to designated product or service offering. Job Responsibilities Researches, identifies, and improves applications, tools, and systems to fulfill reporting and analysis needs. Assists with new system rollouts and training to promote operational efficiency and productivity.\nCreates and maintains reports and portals to post, track, and report on initiatives, policies and procedures, departmental forms, and contracted policies and information within contracts.\nImplements complex processes of new third party plans and updates to ongoing third party plans; reviews and approves administrative paperwork prior to routing implementation information to the appropriate internal departments. Tracks and resolves post-implementation issues related to contracts and pricing.\nReviews complex contracts and provides feedback to management regarding potential opportunities, immediate needs related to contracted terms and programs, resolves contract compliance issues and tracks financial impact. Responds to escalated issues.\nDevelops complex financial models to support management decision-making related to new product development, product portfolio analysis, profitability of new opportunities, capital investments, revenue models, profit margin analysis, and impact of regulatory changes. Presents findings to managements and makes recommendations that are market competitive and fit with Walgreens' strategy.\nPerforms complex ad hoc analysis and forecasts for internal management team and external customers.\nResponsible for the development and implementation of complex SOPs and acts as the subject matter expert on processes, procedures, and functionality\nDevelops and maintains client relationships by providing services required to meet client needs while monitoring operational policies and procedures; reports gaps in client service and business issues of non-compliance to management.\nAssists field personnel and management in resolving member issues.\nWalgreens, one of the nation's largest drugstore chains, is included in the Retail Pharmacy USA Division of Walgreens Boots Alliance, Inc., the first global pharmacy-led, health and wellbeing enterprise. More than 10 million customers interact with Walgreens each day in communities across America, using the most convenient, multichannel access to consumer goods and services and trusted, cost-effective pharmacy, health and wellness services and advice. Walgreens operates 8,175 drugstores with a presence in all 50 states, the District of Columbia, Puerto Rico and the U.S. Virgin Islands. Walgreens omnichannel business includes Walgreens.com. Approximately 400 Walgreens stores offer Healthcare Clinic or other provider retail clinic services. As the neighborhood drugstore and retailer, our goal is to make health and happiness simpler, easier and within reach. And we remain a trusted wellness provider offering convenient access to important health services, such as immunizations and an array of pharmacy services that can help patients improve their health. To our team members, Walgreens represents a unique opportunity to excel in their careers in a welcoming and inclusive environment. We offer the chance to work in a truly supportive environment, and be a part of a progressive organization dedicated to the well-being of our customers, team members and the communities we all call home
## 237 SUMMARY: Tremco's Commercial Sealant & Waterproofing (CS&W) division is currently search for a Senior Financial Analyst. The Senior Financial Analyst manages and maintains all price increases and special prices by accurately updating pricing,customer master data and price ranges. In addition this position prepares specials quotes and special pricing. GENERAL PURPOSE OF JOB: The Senior Financial Analyst position provides support to the Director of Business Analytics and leads initiatives to ensure data integrity, accuracy, and sound use of business systems. In addition, this position assists the Sr. VP/Controller and Assistant Controller with financial analysis functions and provides reliable information necessary to control Commercial Sealants and Waterproofing (CS&W) operations; provides information and analysis/insight to CS&W leadership and departments as requested; represents CS&W finance department on projects within the division including international finance and support. ESSENTIAL DUTIES & RESPONSIBILITIES: Maintain annual updates of sales analysis templates using data from SAP and other data sources. Download data from multiple systems into Excel to conduct analysis based on business goals. Support in collecting and analyzing data that supports business decisions and may affect changes in policies as it relates to pricing Support the data analysis of pricing strategy and tactics. Act as expert analyst for price segmentation software. Develop logical data and business models to convey impact of data driven decisions. Analyze business objectives and develop solutions. Assist with PPOG (Project Portfolio Optimization Group) projects as needed in supporting and/or leadership capacities. Work directly with plant management on annual L&O budgets including spending assumptions, data validation, variance analysis, and exhibits (joint effort with Cost Analyst between US and CAN locations) Act as liaison between CS&W departments regarding reporting requirements; create and improve various management reports and variance analyses as business needs arises; recommend techniques to improve efficiency, cost containment, and productivity; conduct training sessions for other departments as necessary. Provide data, input and financial direction on various special projects including but not limited to customer profitability, price increases, compensation changes, and budgetary decisions. Assist with internal rate of return calculations for capital requests; understand and communicate the impact of capital expenditures to manufacturing and finance. Assist with annual planning & budgeting for the CS&W Division. Serve as primary back up to the CS&W Cost Analyst EDUCATION: Bachelor's Degree from four-year college or university EXPERIENCE: Four to ten years related experience and/or training OTHER SKILLS AND ABILITIES: Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios and proportions to practical situations Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. Ability to work with minimal supervision with a high level of accountability for actions CERTIFICATES, LICENSES, REGISTRATIONS: MBA, CPA, or comparable experience a plus Qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, protected veteran status or disability
## 238 Great opportunity for a Financial Analyst or Senior Analyst or Senior Accountant to join a growing team within a global organization. Full P&L ownership for a handful of established commercial relationships.Client DetailsWe are an international FS firm, looking for candidates with strong data analytics backgroundsDescriptionThe Senior Financial Analyst role leads financial planning, forecasting, and analysis supporting strategic goals through highly organized processes and modeling of key performance indicators. Full P&L ownership and responsibilities in all aspects of Finance & Accounting. Leading staff members and ensuring quality of the team's work is an integral component of this position. Deep-dive large sample size data analytics.ProfileBachelor's degree in Business, Finance, or a related field required; advanced degree preferred. Minimum five (5) plus years progressively responsible related experience is preferred. Experience and technical knowledge in a wide range of finance-related areas, including financial planning, analysis and reporting. Strong accounting background; will own full P&L responsibility for commercial relationships, including FP&A and month-end close. Strong modeling and analytical skills utilizing spreadsheet software (Excel) and large ERP experience preferred.Job OfferCompetitive salary commensurate with experience. This is a bonus eligible role with good benefits.
## 239 POSITION SUMMARY:The primary responsibilities of the position are to maintain and analyze Westlake’s funding through revolving credit facilities and ABS. Maintaining banking/investor relationships are key to success in the role. The position will be responsible for developing analytics on existing credit facilities and evaluating potential new lending facilities. Flexibility, initiative and technical skills are very important to success in this role. The candidate is encouraged to be highly skilled in Excel and SQL.ESSENTIAL DUTIES AND RESPONSIBILITIES:Prepare Data for ABS Securitizations and create monthly Servicer ReportsConduct cost of funds analysis across debt structureMonthly analysis and recommendation on balancing credit facility usageLiaise with bank partners and investors on questions and discussions of Westlake performanceSupervise analysts creating documentation and data analysis during credit facility renewals and auditsESSENTIAL KNOWLEDGE, SKILL & LICENSES:Finance and/or Accounting experience is encouraged. Corporate experience prior to Westlake will be taken into consideration. The candidate will also be expected to be familiar and skilled in many Microsoft Excel. Data mining experience is a plus. EDUCATION AND/OR EXPERIENCE:Bachelor’s degree in Accounting, Finance, or a related field requiredMaster’s degree or CFA preferred3+ Years of Work Experience
## 240 Senior Finance AnalystThis is a great opportunity to work for one of the world’s leading international law firms, in a highly visible role as a part of close knit team. As our Senior Analyst, Management Reporting & Analysis, in our Manhattan office, you will be joining our global team and will be an integral member of an essential group of exceedingly skilled professionals. This is an excellent chance for a professional with at 8-10 years of financial analysis experience that enjoys supporting and mentoring junior level analysts on the team. At Shearman & Sterling we foster a supportive learning environment where you will continue to learn and expand upon your knowledge. Through this position, Shearman & Sterling offers an opportunity to be a recognized contributor in a well-established firm with core values of teamwork, integrity, and excellence. If you want to set down roots and be part of a highly motivated and friendly team, then this is the opportunity for you!Role SummaryAs a senior level Analyst in the Management Reporting & Analysis team, this position leads the development of analysis used by firm management and partners to more effectively and efficiently manage the business. Through superior knowledge of Excel and PowerPoint, this position is able to assemble concise and clear analyses and present in a format consistent with firm standards. The Financial Analyst III will develop a strong understanding of the intricacies of the legal environment, including key drivers, market conditions, business trends, etc., in order to perform complex profitability analysis to help uncover potential opportunities or risks. In addition, this position performs senior level reviews of reporting and analyses performed by more junior analysts on the team. The Financial Analyst III often leads projects related to the continued development of reporting capability through the firm’s proprietary financial systemsKey ResponsibilitiesDevelop analyses (e.g., forecasts, break-even analysis) for various practice groups and departments, utilizing detailed information and understanding the intricacies involved as to what is driving the particular area of business Develop PowerPoint presentations for partner meetings as well as monthly presentations for the Executive Group on performance on key metrics in the firm. Develop creative and innovative ways of illustrating new ideas and strategies to the audience Create and manipulate complex financial models in MS Excel. Ensure accuracy of model and develop solid assumptions. Develop concise output of model in a format that is clear to management. Provide conclusions or recommendations to management from the data analyzed Perform senior level review of all reports and analysis. Develop specific conclusions based on these results. Act as a team leader and mentor to more junior staff Maintain client profitability model and analyses – includes collecting, synthesizing and analyzing information. In conjunction with the partners in the practice group/office, work to determine which clients are profitable vs. those, which are not, and why. Also includes presenting information in an effective and relevant manner in order to maximize its impact Other duties as assigned\nKnowledge, Skills & AttributesSuperior analytical skills Ability to comprehend complex business issues and practices Excellent Excel, PowerPoint and Word skills Superior written and verbal communication skills Ability to employ excellent time management practices Ability to work with all levels of the organization Ingenuity, Creativity Detailed Financial Modeling skills Expertise in Excel functions, such as V/H Lookup formulas, Pivot Tables, Linking, If/Or Statements, consolidation function, arrays, etc. Excellent ability to multi-task\nEducation & ExperienceBachelors in Business (e.g. Accounting, Finance or Economics) 8-10 years of financial analysis experience in a corporate environment Proven ability for complex modeling\nPhysical Activity/Other MiscellaneousAbility to work extended hours and on weekends\nShearman & Sterling has been advising many of the world's leading corporations and financial institutions, governments and governmental organizations for more than 140 years. We are committed to providing legal advice that is insightful and valuable to our clients. This has resulted in groundbreaking transactions in all major regions of the world including Asia, The Middle East, Europe, Latin America, and North America. Together, our lawyers work across practices and jurisdictions to provide the highest quality legal services, bringing their collective experience to bear on the issues that clients face. For example, underpinning the quality of our work firm-wide are our shared values. We take pride in the successes of our clients and in our contributions to them.\n\nJob Requirements\n\nRole SummaryAs a senior level Analyst in the Management Reporting & Analysis team, this position leads the development of analysis used by firm management and partners to more effectively and efficiently manage the business. Through superior knowledge of Excel and PowerPoint, this position is able to assemble concise and clear analyses and present in a format consistent with firm standards. The Financial Analyst III will develop a strong understanding of the intricacies of the legal environment, including key drivers, market conditions, business trends, etc., in order to perform complex profitability analysis to help uncover potential opportunities or risks. In addition, this position performs senior level reviews of reporting and analyses performed by more junior analysts on the team. The Financial Analyst III often leads projects related to the continued development of reporting capability through the firm’s proprietary financial systemsKey ResponsibilitiesDevelop analyses (e.g., forecasts, break-even analysis) for various practice groups and departments, utilizing detailed information and understanding the intricacies involved as to what is driving the particular area of business Develop PowerPoint presentations for partner meetings as well as monthly presentations for the Executive Group on performance on key metrics in the firm. Develop creative and innovative ways of illustrating new ideas and strategies to the audience Create and manipulate complex financial models in MS Excel. Ensure accuracy of model and develop solid assumptions. Develop concise output of model in a format that is clear to management. Provide conclusions or recommendations to management from the data analyzed Perform senior level review of all reports and analysis. Develop specific conclusions based on these results. Act as a team leader and mentor to more junior staff Maintain client profitability model and analyses – includes collecting, synthesizing and analyzing information. In conjunction with the partners in the practice group/office, work to determine which clients are profitable vs. those, which are not, and why. Also includes presenting information in an effective and relevant manner in order to maximize its impact Other duties as assigned\nKnowledge, Skills & AttributesSuperior analytical skills Ability to comprehend complex business issues and practices Excellent Excel, PowerPoint and Word skills Superior written and verbal communication skills Ability to employ excellent time management practices Ability to work with all levels of the organization Ingenuity, Creativity Detailed Financial Modeling skills Expertise in Excel functions, such as V/H Lookup formulas, Pivot Tables, Linking, If/Or Statements, consolidation function, arrays, etc. Excellent ability to multi-task\nEducation & ExperienceBachelors in Business (e.g. Accounting, Finance or Economics) 8-10 years of financial analysis experience in a corporate environment Proven ability for complex modeling\nPhysical Activity/Other MiscellaneousAbility to work extended hours and on weekends\nRelated Keywords: Financial analyst, analyze, finance, financial reports, PowerPoint, Excel, PowerPoint, V/H lookup, pivot tables. Financial model, modeling, model, special project, law, legal, market conditions, trends, drivers, risk opportunity, data analysis, strategy, expense analysis, trend analysis, trends
## 241 Provide analytical support to portfolio managers within public fixed income markets to achieve strategic goals of the investment department. Collaborate with data team and investment accounting department to manage data flow as well as understand data systems in order to provide investment reports to public traders and credit analysts.Essential Job Functions:\nDevelops and manages the performance attribution reports on a recurring and ad hoc basis.\nDevelops and maintains reports that clearly display portfolio and benchmark characteristics that quickly inform portfolio managers within structured securities and public corporate bonds. Builds a comprehensive understanding of the Enterprise's calculation methodologies for public fixed income securities.\nManages the reporting and data flow around the Enterprise's public fixed income portfolio analytics and attribution systems.\nWorks on ad-hoc projects and contribute ideas and recommendations to improve process efficiencies that support optimal risk and return on public fixed income securities.\nServes as an in-house expert on data and leverages knowledge to build analytical reports which portfolio managers can act on.\nBuilds internal and external relationships to collect additional insights on best practices for information dissemination to portfolio managers.\nCoordinates with investment operations and other business units within the Enterprise so as to ensure the appropriate maintenance of files, databases and record keeping per Enterprise and Investment Management policies and practices.\nMaintains proper documentation for regulatory and compliance purposes. Satisfies documentation processes to ensure files are easily found, understood and maintained by others. \nThis position requires sitting over 66% of the time.\nThis position requires Visual Acuity at 20 inches (or less) over 66% of the time.\nMinimum Qualifications:Undergraduate degree in finance, accounting, economics, computer science or other quantitative major.\nTwo to five years of related investment support experience.\nDemonstrate a strong understanding of fixed income markets.\nPrior experience with Bloomberg, Bloomberg AIM, or BondEdge.\nHighly proficient in Microsoft Excel including VBA programming (what about other Microsoft products or investment systems)\nStrong work ethic, attention to detail, pride and ownership of work product, strength of conviction and desire to succeed.\nSound ethics and integrity.\nStrong oral and written communication skills.\nProblem solving and analytical skills; ability to participate in and / or develop proposals based on analysis and research; desire to help Investment Management achieve strategic goals\nPreferred Qualifications:Familiarity with cashflow modeling for structured securities.\nPrevious experience in portfolio analytics, performance measurement, or data analysis.\nAbility to learn how others make judgements regarding credit, risk and valuation and apply that learning to data aggregation, evaluation and reporting.\nKnowledge of one or more programming languages (e.g., C++, Python, R)\nIf you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at 1-800-780-0304. We are available Monday through Friday 7 am to 4:30 pm CST.For all other inquiries, contact our HR Helpline at 1-800-365-1405.Mutual of Omaha and its affiliates are an Equal Opportunity /Affirmative Action Employer, Minorities/Female/Disabled/VeteranTo All Recruitment Agencies: We do not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.
## 242 Ref ID: 04080-0010641995Classification: Financial AnalystCompensation: $65,000.00 to $75,000.00 per yearWant to join a growing financial organization? How about the opportunity to be promoted? This Senior Financial Analyst role maybe the right opportunity for you. The Senior Financial Analyst will report to the VP of Finance, support the banking institution in business decisions with analysis, business intelligence, reports, forecasting, and modeling. There will be opportunity to create ad hoc reports, review liquidity, and analysis of marketing results. The Senior Financial Analysis will have the opportunity to work with all levels of employees, interacting with various departments. The client is in the North Central part of town and offers outstanding benefits, including a bonus, health insurance, 401K with a match, Employee Assistance Program, and more. The salary range is up to $75K. For immediate and confidential consideration, please send resume to [Click Here to Email Your Resumé] or call 210.696.5000 today!\n\nJob Requirements\n\nRequirements: ? Accounting, finance, or economic degree ? Minimum of 4 years? experience in financial analysis ? Ability to perform multiple projects at a time ? Knowledge of data analysis and reporting toolsRobert Half Finance & Accounting, the world's leader in specialized financial staffing, provides exciting full-time opportunities in the areas of accounting, bookkeeping, finance, audit, taxation and more. We pioneered the professional staffing industry, and we've been successfully matching professionals with employers since 1948. Our proven proprietary processes, along with our relationships in 325 locations worldwide, allow us to provide you unparalleled access to exciting career opportunities. But don't take our word for it. Our company has appeared on Fortune® magazine's list of "World's Most Admired Companies" since 1998, and 9 out of 10 of our customers would recommend our service to a colleague.Apply for this job now or contact our nearest office at 844.539.2523 for additional information.All applicants applying for U.S. job openings must be authorized to work in the United States. All applicants applying for Canadian job openings must be authorized to work in Canada.© 2018 Robert Half Finance & Accounting. An Equal Opportunity Employer M/F/Disability/Veterans By clicking 'Apply Now' you are agreeing to Robert Half Terms of Use.
## 243 ZAI has an immediate need for a Biostatistician in support of the NIH Library in Bethesda, Maryland. The Educational Services Branch provides support in developing and offering a broad array of training courses in topics such as systematic search, bibliometrics, and bioinformatics.\nThe duties of the Biostatistician include offering basic statistics training, supporting the Library’s bioinformatics team and their services and customers, and providing consultations on the use of statistics within the Library.\nPrimary responsibilities for this position will be to support data management and analysis activities. The position will entail training, advanced analysis of basic and complex datasets, data visualization, and report writing. Experience with SAS, Stata, and R programming is required to carry out analytical tasks.Candidates should be able to synthesize quantitative information from a variety of sources, juggle multiple tasks, and interact effectively with clients and colleagues. In addition, candidates should have experience delivering formal and informal training related to data analysis and interpretation. The ideal candidate will have experience with data management and analysis of data from multiple sites and in multiple formats. \nResponsibilities:\nPerform advanced statistical analysis on a variety of datasets \nDevelop training sessions on basics statistics for NIH customers\nCreate appropriate analysis documentation for dissemination to Library staff and customers.\nProvide consultation on statistical methods; formulating and solving problems utilizing statistics in the analyses of complex data sets; and serving as an expert on sampling, data weighting, and the utilization of multivariate parametric and non-parametric analyses\nProvide technical assistance to a variety of stakeholders to ensure a complete review of the issues that may arise in analysis.\nPrepare reports and presentations\nProvide deliverables in a timely manner\nEffectively communicate with client regarding issues, needs and/or priority setting for projects\n\nJob Requirements\n\nQualifications:\nMaster’s degree in statistics, bio-statistics, public health, economics or related field and 3-5 years of relevant experience. \nExtensive experience in SAS, Stata, and R programming\nExtensive knowledge of Excel with expertise developing pivot tables, using Excel formulas, and using VBA in Excel\n3-5 years’ experience working with and aggregating/merging multiple data streams\n3-5 years’ experience of complex statistical analysis\nMinimum of 3 years of experience in health sciences\nExcellent verbal, interpersonal and written communication skills\nU.S. Citizenship\nProfessional Skills:\nSolid knowledge of applying testing design principles for a variety of environments, including usability and accessibility testing\nAbility to quickly pick up new programming languages or adapt to new platforms\nExperienced systems thinker - ability to see how parts interact with the whole (big picture thinking) and can articulate to testing scenarios\nStrong analytical abilities, solid analytical and trouble-shooting skills, with the ability to quickly identify and resolve client issues\nStrong customer service orientation\nTeam player with the ability to work in a fast-paced environment\nAbility to multi-task in a fast-paced environment\nEffective time management and prioritization practices\nAbility to work in a fast paced and demanding environment\nExcellent problem-solving skills with ability to analyze situations, identify existing or potential problems and recommend solutions\nPrior teaching or graduate assistant support in course preparation and outlines a plus\nSuperior interpersonal skills including courtesy, professionalism, and a cooperative attitude
## 244 Ref ID:00350-9501556199Classification:Account Executive/Staffing ManagerCompensation:$18.00 to $20.00 per hour\nJob Requirements\n\nWe are seeking a goal-oriented and outgoing entry-level Financial Analyst for a long-term project, with a potential for hire, with a leading financial firm in Tustin! You will be joining a fast-paced finance team to gather accurate and timely client reporting and internal metrics. For the right candidate, this will be a contract-to-hire opportunity as the client is looking for someone who will grow within the company. Reporting: - Engage across all levels of the organization in building, refining and delivering on reporting and analytical projects. - Support Account Managers in all periodic and ad-hoc KPI reporting needs (Excel, Power -Point Decks) for specific accounts and distribution to clients. - Liaise with the Business Intelligence team to ensure correctness of KPI dashboard reporting in Domo. - Work with Account Management to identify data inaccuracies, process inefficiencies and drive corrective actions Analysis: -Responsible for understanding, cleansing, interpreting, and analyzing data - Own analysis on day-to-day client operational metrics, review data, financial trends to identify, communicate, and take action to drive KPI and process improvement - Engage in variance analysis on specific client results (P L?s), analyzing key performance drivers; maintain understanding of client KPIs company profitability - Provides input for business decisions Requirements: - Bachelors degree in Finance or Economics preferred - Can demonstrate up-to-date expertise in financial data analysis, Excel, and applies this to identify opportunities for new business, KPI and process improvement - Strong analytical skills and data-driven thinking - The ability to review data, find insights and anomalies, and explain them to stakeholders - The ability to work through data quality issues - The ability to work through problems and develop creative solutions - The ability to manage and prioritize multiple projects with minimal supervision - Systems understanding or able to learn systems quickly is a plus Interview Process Once we know that you're interested, an Accountemps recruiter will review your resume and contact you to better understand your skills and tell you more about the opportunity. We will meet qualified candidates immediately to get you in front of the employer(s) - we will move quickly! Not ready to apply, but want more information? Contact Kevin Su at [Click Here to Email Your Resumé]Accountemps matches highly skilled professionals with accounting finance jobs at the best companies on a temporary and temporary-to-hire basis. Our mission is to provide you with a rewarding finance or accounting job that is well matched to your professional skills \u0096 helping you to advance in your career. Our experience, combined with the resources of our worldwide network of offices, makes Accountemps a great resource for your career. We offer excellent opportunities to find temporary accounting and finance jobs for all experience levels. From accounting clerks and bookkeepers to accounts payable and staff accountants, we can provide you unparalleled access to exciting career opportunities. But don't take our word for it. Our company has appeared on Fortune® magazine's list of "World's Most Admired Companies" since 1998, and 9 out of 10 of our customers would recommend our service to a colleague.Contact your local Accountemps office at 888.670.5403 or visit www.accountemps.com to apply for this job now or find out more about other job opportunities.All applicants applying for U.S. job openings must be authorized to work in the United States. All applicants applying for Canadian job openings must be authorized to work in Canada.© 2018 Accountemps. An Equal Opportunity Employer M/F/Disability/Veterans By clicking 'Apply Now' you are agreeing to Robert Half Terms of Use.
## 245 Provides financial guidance to management through the analysis of products, operations, capital requests and strategic projects. Assists in supporting cross-functional projects and teams by identifying benefits and costs. Essential Functions Essential Functions• Performs analyses regarding financial and/or operational performance on such issues as productivity, operational statistics, cost trends, and revenue trends. • Assists with assigned projects by performing, analyzing, and tracking financial, statistical, and computer modeling techniques to support department recommendation. • Maintains analysis models to support recommendation provided to management. • Performs interim forecasts and systems integrating expense, capital and budgeting. • Coordinates and analyzes the annual business plan, capital plan and Long Range Outlook (LRO). Performs periodic updates and presents operating changes to management. • Reviews financial plans for completeness and consistency with established objectives and priorities to include monitoring accomplishments of plans. • Assists management in determining and defining the business impact (both operational and economic) on the operation of proposed systems, capital investments, and/or product changes. Prepares, reports on, and tracks feasibility/profitability studies related to proposed corporate programs and strategies. • Defines data needs and creates databases used for analyses by establishing links and interfaces between various databases of company and corporate–wide computer based information and reporting systems. Minimum Education\n\nJob Requirements\n\n• Bachelor’s degree in Finance, Economics, Business or related field required; Master’s Business Administration preferred. Minimum Experience Minimum Experience• None required. Required Skills, Abilities and / or Licensure Required Skills, Abilities and / or Licensure• Software skills, including use of Microsoft Office software and web-based applications. • Verbal and written communication skills necessary to explain complex and/or confidential information. • Time management, organizational and multi-tasking skills necessary to work in a fast-paced environment, handling. various tasks and changing priorities, while maintaining a high attention to detail and accuracy to achieve daily. assignments and goals. • Ability to analyze, review, and make recommendations. • Knowledge of financial analysis applying common financial metrics and methodologies (i.e., Return on Investment (ROI), Net Present Value (NPV), allocation and fixed/variable methodologies). Other Job Description Information Candidates with the following knowledge, skills, and abilities preferred: • Engineering mindset (continuous improvement, detail oriented, process automation, analytical, etc.)• Data analysis and related programming languages such as SQL, SAS, etc.• Experience in using data visualizations to help explain trends, root causes, etc.Some responsibilities will include:• Developing the annual Plan and Strategic Outlook for all direct field costs including field management staffing for FedEx Ground field locations. • Analyzing field cost variances against Plan and prior year’s results. • Providing field forecasts and quarterly direct field costs for Guess. • Completing adhoc reports and/or projects for upper management on direct field cost results and reasons for variance. This position may be domiciled in Pittsburgh, PA or Brookfield, WI FedEx Ground is an equal opportunity / affirmative action employer (Minorities/Females/Disability/Veterans) committed to a diverse workforceSearch Engine Description: Accounting/Financ
## 246 Join a team of dynamic, results oriented professionals!Named among "The World's Most Admired Companies" by Fortune MagazineNamed among "America's 100 Most Trustworthy Companies" by Forbes magazineNamed among "Great Places to Work" by Becker's Hospital ReviewCareer Growth Opportunities\nConvenience market on site\nBenefit Eligibility (Medical/Dental/Vision/Life) the first of the month following 30 days of employment\n401K program (Discretionary matching funds available)\nEmployee Assistance Program\nReferral Program\nDental plans & Vision plans\nGENEROUS Personal time off\nEight Paid Holidays per year\nBusiness casual dress code\nFree Parking\nFree coffee daily\nFitness Center with personal trainer on site\nAwesome Facility with terrific amenities\nWellness programs\nJOB OVERVIEW: This position works directly with executive and senior management on various analytical data projects. It supports payer disputes and reporting by compiling and thoroughly reviewing data for litigation purposes and/or financial assessments. Primary responsibilities include preparing accurate claims files for litigation, financial analysis of payer reimbursements, practice revenue assessments, and general data analytics.ESSENTIAL FUNCTIONS:Create reports and compile data from various sources; cleans and formats data into comprehensive reports; updates reports as needed.\nSupports Director of Finance with data compiling, managing large data files, and financial assessments.\nPrepares detailed and summary level reporting for Managed Care and internal/external legal counsel.\nDesign and develop new reports to support various business needs.\nAssess revenue cycles of new or existing hospital contracts and acquisitions for budgeting purposes and/or financial issues.\nTroubleshoots data and conducts analysis using critical thinking and advanced problem-solving skills.\nReviews data trends and communicates findings to Revenue Analysis, Managed Care, legal counsel, and Revenue Cycle and/or Operational leadership, as appropriate.\nComplete special projects and other duties as assigned.\nPHYSICAL AND ENVIRONMENTAL DEMANDS:Job performed in a well-lit, modern office setting\nOccasional lifting (10 pounds or less)\nProlonged sitting\nProlonged work on a PC/computer\nOccasional or periodic travel (<20%)\nPeriodic evening or weekend work when needed\nModerate stress\nMay require work-related testimony in various legal depositions\nThis position may require manual dexterity and/or frequent use of the computer, telephone, 10-key, calculator, office machines (copier, scanner, fax) and/or the ability to perform repetitive motions and/or meet production standards to comply with the essential functions. Also, may require physical and/or mental stamina to work overtime, additional hours beyond a regular schedule and/or more than five days per week.JOB QUALIFICATIONS:Bachelor's Degree in management sciences, business or related field\nGeneral understanding of Emergency Department, Hospital Medicine, Anesthesiology, and Clinic operational processes and reimbursement preferred\nIntermediate to advanced computer proficiency in Microsoft Excel (ability to create and work with pivot tables, write formulas, chart customization, etc.,)\nTwo years of healthcare financial analysis experience\nKnowledge of Managed Care/Medicare concepts and reimbursement methodologies\nExperience with GE Centricity preferred\nExcellent organizational and analytical skills\nAbility to quickly learn new concepts and technical skills\nImpeccable attention to detail when following set instructions and reviewing reports for accuracy\nExperience in coordinating simultaneous assignments from various levels across the organization by assessing project deadlines, establishing work priorities, and coordinating work schedule\nDemonstrated ability to communicate effectively (both orally and written), particularly the ability to explain complex data analyses in easy to understand terms\nExcellent interpersonal and customer service skills, professional demeanor\nAbility to work well with others, and work with minimal direction/supervision\nAbility to work under time-sensitive deadlines, handle stress and conflict\nResourcefulness, ingenuity, strong decision making and problem-solving skillsCooperative, positive, courteous and professional behavior and conduct is an essential function of every position. All employees must be able to work with others beyond giving and receiving instructions. This includes getting along with co-workers, peers and management without exhibiting behavior extremes. Job functions may require personal leadership skills such as conflict resolution, negotiating, instructing, persuading, speaking with others as well as responding appropriately to job performance feedback from the supervisor. Additionally, the information contained in this job description has been designated to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this position.
## 247 Job description General Summary: Senior Financial Analyst job located in Mebane, NC. This position will be responsible for all weekly and monthly variance reporting, budgeting and forecasting, extensive financial and data analysis and projects involving the Company’s Finance department right outside of Durham, North Carolina. The successful candidate must enjoy working with data but also have the ability to understand the business implications of the data and communicate recommendations to senior management. We are looking for an enthusiastic, organized, highly analytical individual that can work with minimal supervision and be a business partner able to explain the finance function to non finance employees around the US. Principal Duties and Responsibilities: Provides complex financial analysis support to product, marketing and management teams on a regular and ad hoc basis that includes cost/benefit analysis, opportunity/profit analysis and product forecasting.\nPerforms monthly and year-to-date variance analysis for actual results to budget and forecast.\nPrepares monthly management financial reporting package including P&L, Balance Sheet and Statement of Cash Flows and related variance analysis.\nAssists with the development, implementation, automation, and maintenance of budgeting, general, and cost accounting systems.\nAssists in the analysis, preparation, and presentation of financial reports and statistics to management.\nEnsures that financial statements and budgets of each legal entity are correctly stated, including comparison of actual results to budget on a monthly basis.\nReviews and recommends enhancements to financial reports and finance processes as needed.\nCoordinates financial data and activities in the preparation of periodic audits by external organizations.\n Performs other duties and projects as assigned
## 248 Every day at Perspecta, we enable hundreds of thousands of people to take on our nation’s most important work. We’re a company founded on a diverse set of capabilities and skills, bound together by a single promise: we never stop solving our nation’s most complex challenges. Our team of engineers, analysts, developers, investigators, integrators and architects work tirelessly to create innovative solutions. We continually push ourselves—to respond, to adapt, to go further. To look ahead to the changing landscape and develop new and innovative ways to serve our customers.Perspecta works with U.S. government customers in defense, intelligence, civilian, health care, and state and local markets. Our high-caliber employees are rewarded in many ways—not only through competitive salaries and benefits packages, but the opportunity to create a meaningful impact in jobs and on projects that matter. Perspecta’s talented and robust workforce—14,000 strong—stands ready to welcome you to the team. Let’s make an impact together.Perspecta is an AA/EEO Employer - Minorities/Women/Veterans/Disabled and other protected categories\n\nResponsibilities\n\nConducts logical analysis of management problems and developing multivariate analysis, linear modeling, and data mining. Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages. Analyses data and conducts advanced statistical analyses and applies mathematical calculations. Presents findings and recommendations to appropriate groups and helps to determine what actionable steps can be taken based on the findings. Communicates and trains users on model results. Prepares written, non-technical reports to management, indicating analytical finding and models. May supervise more junior staff and schedule work to meet completion dates. Guides predictive analytics model development. Interfaces with customer and helps define work process. May estimate time frames, quality and quantity of resources required to successfully implement project; develops project plan incorporating all project variables. May establish criteria concerning deliverability, performance, maintenance, design and costs. May conduct periodic status checks with customers and team to assess progress against plan. May perform re-forecasts of project variables as necessary throughout project and prepare routine status reports on all project activities. May be assigned responsibility for the management of the function, including associated staff.This position will be central to designing, coordinating, conducting, and reporting on collaborative technical and operational analyses working with a large set of DoD and contractor space operations and engineering experts. Extensive written and presentation communications on operational and technical topics will be central.This position will also function as an IPT lead, driving collaboration and closure on customer tasks.\n\n\nJob Requirements\n\nRequires 10 to 12 years with BS/BA or 8 to 10 years with MS/MA or 5 to 7 years with PhD.Requires recent experience with Air Force and/or Intelligence Community space systems operations and/or engineering; experience on BMC2, SSA, and other Space Warfighting related programs. Also requires some familiarity with NSDC and joint space operations.Extensive sxperience with engineering and analysis tools (MATLAB, STK, others).Experience with AF modeling and simulation tools such as SEAS, AFSIM, STORM, and related event and campaign modeling tools/systems.Experience leading Integrated Process Teams (IPTs) or similar efforts focused on technical challenges and collaboration.Experience with scheduling and task amangement tools (like MS PROJECT).Familiarity with military operations and operational research.
## 249 Every day at Perspecta, we enable hundreds of thousands of people to take on our nation’s most important work. We’re a company founded on a diverse set of capabilities and skills, bound together by a single promise: we never stop solving our nation’s most complex challenges. Our team of engineers, analysts, developers, investigators, integrators and architects work tirelessly to create innovative solutions. We continually push ourselves—to respond, to adapt, to go further. To look ahead to the changing landscape and develop new and innovative ways to serve our customers.Perspecta works with U.S. government customers in defense, intelligence, civilian, health care, and state and local markets. Our high-caliber employees are rewarded in many ways—not only through competitive salaries and benefits packages, but the opportunity to create a meaningful impact in jobs and on projects that matter. Perspecta’s talented and robust workforce—14,000 strong—stands ready to welcome you to the team. Let’s make an impact together.Perspecta is an AA/EEO Employer - Minorities/Women/Veterans/Disabled and other protected categories\n\nResponsibilities\n\nConducts logical analysis of management problems and developing multivariate analysis, linear modeling, and data mining. Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages. Analyses data and conducts advanced statistical analyses and applies mathematical calculations. Presents findings and recommendations to appropriate groups and helps to determine what actionable steps can be taken based on the findings. Communicates and trains users on model results. Prepares written, non-technical reports to management, indicating analytical finding and models. May supervise more junior staff and schedule work to meet completion dates. Guides predictive analytics model development. Interfaces with customer and helps define work process. May estimate time frames, quality and quantity of resources required to successfully implement project; develops project plan incorporating all project variables. May establish criteria concerning deliverability, performance, maintenance, design and costs. May conduct periodic status checks with customers and team to assess progress against plan. May perform re-forecasts of project variables as necessary throughout project and prepare routine status reports on all project activities. May be assigned responsibility for the management of the function, including associated staff.This position will be central to designing, coordinating, conducting, and reporting on collaborative technical and operational analyses working with a large set of DoD and contractor space operations and engineering experts. Extensive written and presentation communications on operational and technical topics will be central.\n\n\nJob Requirements\n\nRequires 5 to 8 years with BS/BA or 3 to 5 years with MS/MA or 0 to 2 years with PhD.Recent experience with Air Force and/or Intelligence Community space systems operations and/or engineering; experience on BMC2, SSA, and other Space Warfighting related programs. Familiarity with NSDC and joint space operations.Experience with engineering and analysis tools (MATLAB, STK, others).Some experience with AF modeling and simulation tools such as SEAS, AFSIM, STORM, and related event and campaign modeling tools/systems.Desired:Experience participating or leading Integrated Process Teams (IPTs) or similar efforts focused on technical AOAs.\nExperience with scheduling and task amangement tools (like MS PROJECT).\nFamiliarity with military operations and operational research.
## 250 Ref ID: 02210-0010682433Classification: Sr. Financial AnalystCompensation: $90,000.00 to $93,000.00 per yearOur client is currently looking to hire a senior planning analyst due to growth. Our client is the world leader in their industry and they have global revenues exceeding $15B. This is a very exciting opportunity to join and work with a global leader. This senior planning analyst role offers significant career exposure to senior and executive leadership and will work as the senior planning and business analyst to support their North American Headquarters, If you are hired as the senior planning analyst, you will report to their senior manager and be responsible for the following: Supporting their annual business plan and 3-year strategic plan; Preparing monthly management reports, variance analysis, trend analysis, and variance explanations; Support their implementation of a new business intelligence, data modeling tool; Conduct, perform, and analyze business scenarios and data modeling; Preparing and presenting senior leadership presentations for monthly, quarterly, and annual business reviews; Work cross functionally with other cost and profit centers to support their budgeting, capital expenditures and monetary requirements; Other ad hoc duties assigned. Our client offers an exceptional work environment. The opportunity to advance based on your performance and growth and excellent benefits. For immediate and confidential consideration please forward your resume to [Click Here to Email Your Resumé] or call Jeff Sokolowski directly at 248.368.6440.\n\nJob Requirements\n\nFor consideration for the senior planning analyst position, candidates will need to have 3 or more years business analysis experience including the following: budgeting, forecasting, variance analysis, business modeling, trend analysis, variance explanations including working with department heads to understand causes and action plans, and strategic planning. The right person should be comfortable working with both senior and executive leadership. Our client is also preferring someone who is comfortable working with a data analytics tools (e.g. Tableau, Domo, etc.) This company is requiring candidates have their Bachelor's degree or higher in finance, accounting, or economics and preferring candidates with their master?s degree of CFA.Robert Half Finance & Accounting, the world's leader in specialized financial staffing, provides exciting full-time opportunities in the areas of accounting, bookkeeping, finance, audit, taxation and more. We pioneered the professional staffing industry, and we've been successfully matching professionals with employers since 1948. Our proven proprietary processes, along with our relationships in 325 locations worldwide, allow us to provide you unparalleled access to exciting career opportunities. But don't take our word for it. Our company has appeared on Fortune® magazine's list of "World's Most Admired Companies" since 1998, and 9 out of 10 of our customers would recommend our service to a colleague.Apply for this job now or contact our nearest office at 844.539.2523 for additional information.All applicants applying for U.S. job openings must be authorized to work in the United States. All applicants applying for Canadian job openings must be authorized to work in Canada.© 2018 Robert Half Finance & Accounting. An Equal Opportunity Employer M/F/Disability/Veterans By clicking 'Apply Now' you are agreeing to Robert Half Terms of Use.
## 251 Senior Financial/Operations AnalystSUMMARYThe Senior Financial/Operations Analyst is the finance business partner to a business unit. The Senior Financial Analyst will support the business unit with budgets, forecast, business cases, program implementation and analysis for programs strategic decisions. The Senior Financial Analyst will liaison with the core finance & accounting group for projects and profitability and variance analysis. JOB FUNCTIONSBusiness partner to the business unit to help drive projects and initiatives including analysis, coordination and measurement of the results\nSupport the monthly review process for the performance improvement initiatives by developing business cases, assessing profitability, variance analysis & explaining results to leadership\nCollaborate with initiative owners to identify essential data analysis and measurements needed to ensure success of performance improvement program.\nCompile and analyze financial and operations related data from the ERP and CRM systems, as required to make performance-related decisions across all Lines of Business.\nCombine business insights/knowledge and data analysis results to develop actionable recommendations for top management. \nSupport M&A initiatives for the BU\nREQUIREMENTS5-10 years progressive experience in finance and operational analysis\nBachelors degree in Finance or Accounting\nAdvanced Excel skills\n To apply, please send resumes Interested candidates please send resume in Word format to Please reference job code 64834 when responding to this ad.
## 252 Ref ID: 03600-9501559757Classification: Sr. Financial AnalystCompensation: DOEWe are seeking an accomplished Senior Financial Analyst for fast paced company in the Portland metro area. This role will last 4-6 months with a strong possibility of extension. The Senior Financial Analyst is responsible for supporting the company?s corporate finance and corporate planning efforts. This role also has frequent interaction with all levels of the organization. This is a phenomenal opportunity to work with an expanding company in addition to growing your career. Responsibilities: ? Conduct monthly financial analysis for business executives and their teams. ? Develop effective relationships across the business to gain understanding of primary goals and requirements of partners and customers. ? Provide financial analysis, interpretations, predictions, and recommendations to grow decision making across the organization. ? Assist in the generation of financial reporting and analyze key performance indicators. ? Manage the development and coordination of the company?s financial planning processes. ? Assist with numerous areas of the month-end close process. ? Evaluate processes and identify recommendations to improve efficiency. ? Collaborate with the business and IT teams to implement decision support data/analytics. ? Manage financial and operational statistics. ? Report on strategic areas of the business.\n\nJob Requirements\n\nRequirements: ? Bachelor's degree in Accounting, Finance, or related field required ? 5+ years of Sr. Financial Analyst experience ? Strong analytical skills ? High standard for integrity required for exposure to confidential legal contracts and employee information ? Strong attention to detail ? Strong knowledge of analytic tools such as trend analysis, price volume analysis, statistics ratios If you are ready a rewarding and fulfilling career with a premier company, please email your updated resume to [Click Here to Email Your Resumé] or call us at 503-525-8853. We look forward to hearing from you!Our industry-leading alliances and broad client network provide you greater access to a variety of unique interim and long-term project opportunities that can keep you continuously engaged. We also provide competitive benefits and compensation packages, as well as online training and continuing professional education (CPE). Our parent company, Robert Half, has appeared on Fortune® magazine's list of "World's Most Admired Companies" since 1998. At Robert Half Management Resources, your experience matters - and we put it to good use. To apply for this position or for more information on other engagements, visit us online at roberthalfmr.com or call your branch office at 1.888.400.7474.All applicants applying for U.S. job openings must be authorized to work in the United States. All applicants applying for Canadian job openings must be authorized to work in Canada.© 2018 Robert Half Management Resources. An Equal Opportunity Employer M/F/Disability/Veterans By clicking 'Apply Now' you are agreeing to Robert Half Terms of Use.
## 253 Are you a driven business / financial analyst with 2+ years of related experience? We’re seeking a driven and motivated Senior Financial Analyst – Operations to provide analytical and decision support to major accounts. You will be conducting analysis of financial/sales data, utilizing various tools and systems to drive profitable growth.\n\nJob Requirements\n\nBS in Finance, Economics, or similar is required\nMinimum 2-4+ years financial analysis experience required\nKnowledge of various reporting and analytics tools, Strong Excel Skills.\nResponsibilities: \nStrategic data analytics and decision support for the company sales & marketing team \nCompensation Analysis, Sales territory forecasting and pricing analysis\nKPI development and reporting \nPerformance and revenue reporting and analysis\nAd hoc analytics and advanced modeling
## 254 Financial Analyst A large international company with North American headquarters in Portland has an immediate need for a Financial Analyst to assist with QA analysis functions. This is an opportunity to gain a wide-range of experience in a large finance organization.Responsibilities of the Financial Analyst Perform QA on financial transactions and give feedback to team. Execute QA testing strategies. Review department work products for quality. QA data gathering and reporting. Develop testing strategies and documentation. Document testing processes. Assist with continuous development and implementation of process improvements.Financial Analyst Qualifications Bachelor's degree in Finance, Accounting, or Business; will accept equivalent education and experience. CIA, CPA, ASQ or Six Sigma certifications preferred. 3+ years of accounting, QA, financial or insurance auditing experience. Intermediate knowledge of GAAP and QA standards/compliance. Experience with control frameworks and risk analysis models. MS Office Suite experience, with advanced data analysis skills in Excel and Access. ERP systems knowledge. Excellent interpersonal and communication skills, with ability to interact at all levels of the organization. Organized multitasker with strong attention to detail and accuracy. Strong analytical and problem-solving skills. Can work independently and as part of a team. Benefits Benefits are available to eligible VanderHouwen contractors and include coverage for medical, dental, vision, life insurance, short and long term disability, and matching 401k.About VanderHouwen VanderHouwen is an award-winning, Women-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen has been successfully placing experienced professionals throughout the Pacific Northwest and nationwide. Our recruitment teams are highly specialized in either Technology and IT, Engineering, or Accounting and Finance career markets. Our recruiters value building meaningful, professional relationships with each candidate as well as developing honed knowledge of companies' staffing needs and workplaces. Partner with us to land your next exciting career
## 255 Careers at EmblemHealth: For nine decades, EmblemHealth has been making quality health care accessible and affordable for New Yorkers, and helping to make life better in the communities we serve. Our employees are proud of that legacy and want to make health care better for everyone. Here we inspire success while helping employees build meaningful careers. We offer competitive health and welfare benefits, retirement benefits, and incentive pay plans. Join us for a rewarding experience.Summary:Work independently to oversee SSP revenue initiatives. Provide guidance and assistance to management in identifying business solutions and resulting databases to support SSP Revenue Maximization Initiatives. Such business applications may include: Medicaid SSI/LBW Baby Disenrollment process, SSP third party coverage oversight, Enrollment and Billing analysis and other eligibility related revenue maximization reconciliation functions.Principal Accountabilities:• Coordinate and assist on the monthly Medicaid Revenue Reconciliation, active to paid membership implementation of internal cross functional processes, databases and measurement tools for the SSP.• Monitor SSP Payments month over month. Achieve maximum payment and collection percentages.• Administer the Denied Premium reconciliation process. Reconcile the payment of monthly Medicaid premium denials. Ensure correction of enrollment in the Enrollment & Billing System (Facets) Coordinate the process with the Billing, GAP and IT departments to ensure payment of premiums• Identify trends or patterns causing members not to bill, denials from the State or other reasons for non-payment, make recommendations for system or process improvements. Identify system limitations and suggestions for correction. .• Monitor and manage the vendor;, CTS, on accurate monthly and weekly billing, including systemically returning of overpayments to NYDOH• Identify and implement other eligibility related revenue maximization and reconciliation functions as required for other SSP lines of business; EP, CHP and QHP. Provide guidance and support to management team.• Ensure compliance with all SSP regulations, participate in State Weekly Technical Calls, raise concerns where payments are impacted.\n\nJob Requirements\n\nQualifications:• Bachelors Degree in Business, Health Care Administration or related field required.• 3 to 5 years of related business background in project management and/or data analysis.• 4Years direct experience in SSP enrollment and New York Statereimbursement methodology in either a managed care plan or health careprovider setting preferred.• Applicant should havedemonstrated systems skills including but not limited to ACCESS, EXCELand data warehouse reporting expertise.Dependingon factors such as business unit requirements, the nature of theposition, cost and applicable laws and regulations, Emblemhealth mayprovide work visa sponsorship for certain positions.We are committed to leveraging the diverse backgrounds, perspectives and experiences of our workforce to create opportunities for our people and our business. We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or any other characteristic protected by law.
## 256 Ref ID: 04120-0010634834Classification: Portfolio AdministratorCompensation: DOERobert Half is hiring outstanding candidates for a family office investment group. We are looking for an agile and savvy Controller (Senior Finance Administrator) with stellar intuitive, analytical and support skills to report to the CEO. The environment is fast-paced with multiple overlapping deadlines. Changing priorities will be required, along with a great attitude and mental focus. You will learn the business and executive needs thoroughly, to ensure all details are covered in your day-to-day functions. This position requires completion of complex duties and projects and a processing of confidential and detailed information that must remain secure in your possession. The Controller will assist with month end closing, complete audit schedules, account reconciliations, Accounts Payable (A/P) and Accounts Receivable (A/R) processes. The Controller position is a direct hire opportunity and is in the North Dallas area. Ideal candidates should send their resume to Jarrett Karrington at [Click Here to Email Your Resumé] or connect with me at www.linkedin.com/in/jarrett-karrington-162a5440/ Responsibilities ? Liaison and interface with CEO/Owners? private wealth management team including financial planners, attorneys, accountants, etc. ? Responsible for the review, documentation and maintenance of all relevant financial records (banking, credit, investment) for tax preparation purposes ? Ability to analyze and manage tax related documents, such as K-1s, and provide relevant feedback to CEO/Owners ? Monitor banking, credit and investment accounts of CEO/Owners ? Prepare and/or reconcile financial month-end and quarterly variance reports pertaining to private investment accounts ? Review and audit of financial statements and reports with relevant feedback to CEO/Owners ? Data Analysis ? Upload and reconcile monthly bank statements in QuickBooks ? Upload and reconcile monthly credit card statements in QuickBooks ? Review P L from QuickBooks on a monthly basis with CEO/Owners to ensure proper categorization of entries ? Manage office payables/receivables ? Develop reports, projections and project presentations, as needed ? Manage 3rd party vendor and contractor relationships ? Provide back-up support to Executive Assistant/Personal Assistant, as needed (i.e. Executive travel prep, scheduling of meetings, appointments, personal errands, etc. ? Participate in the review and analysis process for incoming business investment opportunities for viability and potential for success ? Accelerate the investment and business development process by organizing, tracking, and reporting milestones and progress ? Manage and execute on business-related projects ? Conduct business research on complicated strategic issues ? Participate in business meetings and take notes; provide CEO with meeting recaps ? Interface with contractors, attorneys and vendors on behalf of CEO/Owners ? Coordinate flow of information between executive management, business groups, and attorneys ? Schedule and organize ad hoc meetings and agendas for all participants and coordinate all logistical requirements for meetings and events ? Represent company and Owners with highest degree of professionalism and decorum\n\nJob Requirements\n\nSkill Requirements: ? Has solid command of Microsoft Office Applications (Excel, PowerPoint Word) ? Excellent Excel Skills ? Experience and solid proficiency in QuickBooks ? Is technologically savvy ? Strong written and verbal communication skills ? Attention to detail ? Aptitude for logical thinking ? Demonstrated ability to analyze and synthesize large amounts of data and information ? Commitment to professional ethics ? Demonstrated experience working with sensitive and confidential information ? Can multi-task across myriad tasks and timelines ? Is performance driven, highly motivated and desires to succeed ? Experience in research and report writing ? Ability to interpret operational and financial data, financial statements, and to prepare clear, concise management reports ? Can demonstrate strong interpersonal skills with an ability to work within both an internal independent environment and an internal/external team environment ? Possesses solid project management skills ? Has Fast keyboarding (65wpm) and note-taking skills Education and Experience Requirements: ? Bachelor's degree in Accounting, Finance or related field required; ? 7-10 years proven work as a Finance Administrator, Finance Assistant or similar role; ? OR equivalent combination of education and experience Additional Requirements: ? May work flexible schedule to adapt to executive?s needs, including some Sundays ? Up to 15% travel may be required ? Small family office experience preferredRobert Half Finance & Accounting, the world's leader in specialized financial staffing, provides exciting full-time opportunities in the areas of accounting, bookkeeping, finance, audit, taxation and more. We pioneered the professional staffing industry, and we've been successfully matching professionals with employers since 1948. Our proven proprietary processes, along with our relationships in 325 locations worldwide, allow us to provide you unparalleled access to exciting career opportunities. But don't take our word for it. Our company has appeared on Fortune® magazine's list of "World's Most Admired Companies" since 1998, and 9 out of 10 of our customers would recommend our service to a colleague.Apply for this job now or contact our nearest office at 844.539.2523 for additional information.All applicants applying for U.S. job openings must be authorized to work in the United States. All applicants applying for Canadian job openings must be authorized to work in Canada.© 2018 Robert Half Finance & Accounting. An Equal Opportunity Employer M/F/Disability/Veterans By clicking 'Apply Now' you are agreeing to Robert Half Terms of Use.
## 257 Position is on the staff of a not-for-profit government consulting firm located in Tysons, VA. The Junior Data Scientist position will be embedded within our LMI Data Analytics Practice and leverage your curiosity and problem solving skills to explore, discover, and predict patterns contained within data sets for a wide range of government clients. This includes the derivation of clear narratives that help our clients understand their data and how those insights address their specific research questions.\n\nResponsibilities\n\nDemonstrate the ability to frame and scale data problems to effectively analyze, visualize and find data solutions.\nPossess the ability to work with and manipulate common data formats, including comma-delimited, text files, and JSON.\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.\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.\nAbility to work in a fast-paced, solutions oriented environment focused on client deliverables, analysis and reporting.\nPossess the ability to work in teams and independently.\n\nQualifications\n\nBachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.\nExperience working with tools including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).\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.Working knowledge of databases and SQL is desired. Preferred qualifications include linking analytic and data visualization products to database connections.\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.\nSuperior communication skills, both oral and written.\nApplicants for this position may be subjected to a government security investigation and must meet eligibility requirements for access to classified information. Please note that only US Citizens are eligible to obtain security clearances.
## 258 \nDescriptionAt Pandora, we're a unique collection of engineers, musicians, designers, marketers, and world-class sellers with a common goal: to enrich lives by delivering effortless personalized music enjoyment and discovery. People—the listeners, the artists, and our employees—are at the center of our mission and everything we do. Actually, employees at Pandora are a lot like the service itself: bright, eclectic, and innovative. Collaboration is the foundation of our workforce, and we’re looking for smart individuals who are self-motivated and passionate to join us. Be a part of the engine that creates the soundtrack to life. Discover your future at Pandora!Want to work on retaining, engaging and growing our listener base?Pandora has a great opportunity for a seasoned software engineer with several years of diverse experience who will help deliver Pandora to millions of music fans. We are looking for someone who will own, lead, and execute projects. You should have outstanding analytical and programming skills with a deep understanding and proven track record of building robust, scalable, multithreaded applications. As a member of our highly motivated team, you should be dedicated to excellence and have a strong sense of personal responsibility. We hold ourselves to high standards and take pride in our work.Requirements:\nMinimum five years of professional engineering experience\nExpert level experience developing object oriented software\nTeam player with excellent communication and interpersonal skills\nSignificant experience with API development ( REST, JSON, XML )\nSignificant experience developing scalable, multithreaded server side software for deployment on Unix based systems\nSignificant experience working with database systems ( PostgreSQL, Redis )\nSignificant experience unit testing with frameworks and a dedication to thorough testing to create high quality software\nExperience with data science, machine/deep learning algorithms and/or statistical modeling.\nPlus Requirements:\nExperience developing high quality software in Python\nExperience with recommender systems.\nExperience with NoSQL architectures and map-reduce concepts atop Hadoop, HDFS, and Hive\nExperience with distributed messages systems ( Apache Kafka )\nExperience with production operational issues\nBA/BS or better in Computer Science or related field\n\nPandora is committed to diversity in its workforce. Pandora is an equal employment opportunity employer and considers qualified applicants without regard to gender, sexual orientation, gender identity, race, veteran or disability status. Women and people of color are encouraged to apply.\n
## 259 We have an excellent opportunity for an Operations Analyst to join our leading client in Reston. This position has a great benefit package that includes Medical, Dental and Vision benefits, 401k with company matching, and life insurance for those who qualify. Responsibilities of the Operations Analyst: Develop a strong understanding of enterprise systems and applications to inform diagnostic and issue resolution abilities Work with vendors, business, and technical teams to provide operational support and troubleshooting Develop and maintain policies and procedures to ensure successful systems operations Support software development efforts as they relate to operational data quality Develop, enhance, and maintain process and issue documentation Perform proactive problem management to decrease future issues Requirements of the Operations Analyst: Bachelor's degree in Engineering or related technical field; or, equivalent experience Extensive experience in operations support or systems design and development Advanced data analysis skills, with the ability to write complex SQL statements, including Oracle PL/SQL Familiarity with Linux/Unix and Shell scripts Knowledge and ability to work with AWS technologies Experience troubleshooting enterprise software and services Solid analytical skills and knowledge of analytical tools Strong organizational, time, and task management skills Ability to communicate effectively, both verbally and in writing Strong understanding and experience with software development/deployment Strong collaboration, relationship building, and interpersonal skills Keywords: Operations Analyst, SQL, Oracle PL/SQL, Linux, Unix, Shell Scripts, AWS, Software Development Job ID: 311857 About Eliassen Group: Eliassen Group provides strategic talent solutions to drive our clients’ innovation and business results. Leveraging nearly 30 years of success, our expertise in IT staffing, Agile consulting, creative services, managed services, and life sciences enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA and with offices from coast to coast, Eliassen Group offers local community presence, deep networks, as well as national reach. For more information, visit http://www.eliassen.com. Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
## 260 This is a newly created position and is ideal for someone who is proficient in IBM SPSS and Microsoft Excel. The role requires being analytical, quantitatively-focused, persistent, and highly detail-oriented. There will be extensive data analysis and data modeling responsibilities. Examples include managing large proprietary SPSS Broker/Dealer and financial advisor survey databases. The position will also contribute to the practice's qualitative research as needed and selectively support other quantitative research needs, across the firm, as it pertains to custom and consulting projects.The candidate must be able to work autonomously, be comfortable with multi-tasking, and adaptative to meet multiple strict deadlines.
## 261 Summary:We are looking for a Senior Financial Operations Analyst to join the team! Sr. Financial Operations Analyst will be part of the Global Sales Excellence team bringing actionable value to international business units. This individual will partner with key stakeholders across the organization to make data-driven decisions on topics, including, but not limited to: strategy, financial structure, accounting, performance, forecasting, territory optimization, sales incentive design, and process improvement. This role will work on strategic initiatives, become a key business advisor, and be passionate about driving progress in our systems, tools, and process.Job Details: Responsibilities: Partner with international business units to create culture promoting data driven decisions. Collaborate with business units globally to identify and develop scalable and organization-wide reporting and analytics solutions. Manage and improve upon existing operational processes Build, analyze & maintain financial & data driven models Produce & automate regular cadence quarterly reporting as required Develop and improve the functional areas of data management, forecasting, sales opportunities, dashboards and reports Work with leadership on ad-hoc strategic operational projects Requirements: Critical Thinker 5+ years relevant experience in Sales Operations/Finance Professional level in Excel/Tableau etc. Excellent analysis, reporting, and presentation skills Experience with technical aspects of CRM/Salesforce Strong analytical experience in financial modeling, data analysis and insights Ability to think globally and strategically, then roll up sleeves to execute Ability to prioritize tasks efficiently & solve problems independently High degree of attention to detail Demonstrated ability to build collaborative relationships with other departments Bachelor’s Degree with a technical or quantitative focus, CPA/CMA Preferred Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the Human Resources Department.
## 262 FINANCIAL ANALYST - Birmingham, ALDynamic company seeks an Financial Analyst to embark on a successful career at our Corporate Headquarters. Motivated and energetic people with a sense of urgency will have the chance to join Ram Tool Construction Supply Co., the largest family-owned distributor of specialty commercial construction supplies in the Mid-Atlantic, Southeast, and Texas. Ram Tool has a vast product line with 30,000+ unique items to sell and over 90% of deliveries made within 24 hours. Working under the Director of Financial Analysis the Financial Analyst will be responsible for developing and analyzing financial models and dashboards within MicroStrategy that will provide increased visibility and guidance to the Ram Tool management team. This person will also track numerous long term financial initiatives of the company and partner with management in various departments to perform ad-hoc analysis and reporting. RESPONSIBILITIES:Develop and maintain various financial models and dashboards within MicroStrategy\nPerform budgeting variance and forecasting analysis for various levels of management in different departments\nDevelop, streamline and automate controlling procedures to increase productivity that optimize data efficiency and quality\nAssemble and summarize complex reports on financial status, risks and trends\nDevelop various financial models and conduct benchmarking, when needed\nProduce clear, well defined reports that communicate financial stability \nProvide creative alternatives and recommendations for cost reduction and improved financial performance\nContinually develop and refine internal financial model to meet business needs \n\nREQUIREMENTS:Bachelor's degree in Finance or Data Analytics preferred\nMinimum 5 years of experience working in FP&A or related field\nExperience in cost accounting, controlling and budget analysis\nExperience developing reports using data analytics software (MicroStrategy a plus)\nSAP knowledge preferred\nExcellent communication skills, both oral and written\nHigh level of proficiency within Excel and other Microsoft Office applications\nAbility to perform work with attention to detail and high degree of accuracy\nWork with a sense of urgency while completing daily tasks\nStrong critical thinking and problem-solving abilities\nTakes initiative and ownership of the process\n*Standard Drug Screen and Background Checks will be performed. RAM TOOL IS AN EQUAL OPPORTUNITY EMPLOYER
## 263 RESPONSIBILITIES:Kforce's client, a world class health care company in Bridgewater, New Jersey (NJ) seeks a Senior Financial Analyst.Summary:This position will offer the opportunity to engage with business partners across the organization to manage all aspects of the Business spend (domestic and international) and US service revenue. The position will support commercial leadership with accurate forecasts, value-added reporting, key business metrics and benchmarks tailored to unique needs of the business.Key responsibilities include: Month-end close responsibilities (journal entries, system reconciliations, balance sheet reconciliations), expense management, budgetary support for cost centers, strategic data, and adhoc analysis\n Reporting of actual results and analysis vs. plan \n Management of financial process improvements as well as ensuring compliance with Policies & Procedures and Sarbanes-Oxley requirements\n Partner with leadership across various functional areas in the planning of costs and revenue and the communication of monthly Ortho Care results\n Support month-end close activities to ensure appropriate accounting under US GAAP including journal entries, reconciliations, corporate submissions, and variance analysis\n Plan and analyze costs using multiple systems; report on costs related to product replacements, spare parts, warranties; support quarterly analysis/reporting and commentary\n Partner with functional teams and regional finance teams on periodic forecast updates, monthly reporting, and data analytics\n Partner with brand analysts and marketing teams to plan and analyze US service revenue \n Support financial analysts in system tasks, reconciliations, and other spare parts related topics\n Adhoc projects as assigned\n\nJob Requirements\n\nREQUIREMENTS: A Bachelor's degree is required, preferably within the area of Accounting or Finance\n A minimum of 2 years financial analysis experience with financial modeling\n A CPA, CMA, or other financial certification is preferred\n Candidate must possess intermediate to advanced Microsoft Excel skills required (i.e. Pivot Tables, Formulas, VLOOKUP functions). Experience with SAP is preferred\n Understanding of US GAAP \n Must possess the ability to partner with associates at all levels of the organization \n Strong communication, presentation, interpersonal, and influencing skills are required\n Highly motivated individual with strong analytical skills, intellectual curiosity and leadership skills\n Ability to work well in a dynamic environment, think creatively and be able to recommend and implement process improvements, work independently and handle multiple tasks simultaneously is required\n Minimal domestic travel, less than 5%\nKforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status
## 264 \nThe Salvation Army, an internationally recognized non-profit, faith based organization, has an opening for a Divisional Statistician for Texas Divisional Headquarters, located in Dallas.\n\nJob Summary\n\nDirects and oversee the statistical reporting operations for The Salvation Army Texas Division; will serve as the primary staff expert on statistics and industry research; trains, supervises, and assists the Assistant Divisional Statistician; responsible for the identification, development and execution of all statistical research and benchmarking; provides initial and ongoing division-wide technical and program statistical support; provides statistical analysis and related output as it pertains to membership information for annual field office and divisional reviews and reconciles any resulting change; maintains the integrity of a customized internal records database; will be the liaison between leadership and end-users.\n\nKnowledge, Skills and Abilities \n\nKnowledge of general office practices and procedures. Proficiency on keyboard; 40 wpm. Ability to maintain the confidential nature of the work. Ability and willingness to perform all duties with an understanding of the mission, ministry, philosophy, culture, and protocol of The Salvation Army, and conduct all duties in accordance with the ministry of the organization and its Christian principles; specifically, have a good, working knowledge of “key” Salvation Army programs, ie., Adult/Youth Ministries, Character Building Program, Local Officer Development, Pathway of Hope Program, etc. Ability to train, present information, and communicate by e-mail, phone, and in person in a courteous and tactful manner and with the highest level of professionalism. \n\n \n\nAbility to supervise, plan and organize work in compliance with quality standards and deadlines under minimal supervision. Ability to use all currently applicable Microsoft Office programs and to learn and become proficient using other specific computer software as necessary. Ability to maintain an efficient and organized filing system to ensure that records can be retrieved in a timely manner.\n\n \n\n\nJob Requirements\n\n\nEducation and Experience\n\n \n\nBachelor’s degree in Statistics, Mathematics, Economics, Computer Science or a related field is required; and three (3) years of experience working with analytics/insight development, survey data or secondary data, and/or market research; with at least one (1) year of supervisory experience; or any equivalent combination of training and experience which provides the required knowledge, skills, and abilities.\n\n \n\nLicenses and Certifications\n\n\nValid State Driver’s License\n\nApproved background check report required\n\n \n\nPhysical Requirements and Working Conditions\n\n\nAbility to meet attendance requirements. Ability to read, write and communicate the English language. Ability to perform routine mathematical computations. Ability to operate various general office equipment including business telephones, computer, printer, calculator, facsimile, copier, and scanner. Ability to concentrate and pay close attention to detail with breaks in concentration associated with answering phones or speaking in person to clients requiring assistance. Ability to travel as needed.\n\nDuties are usually performed seated. Sitting may be relieved by brief or occasional periods of standing or walking. Limited amount of physical effort required associated with walking standing, lifting and carrying light objects (less than 25 lbs.) 5-10% of work time. Work is usually performed in a normal office environment where there are little or no physical discomforts associated with changes in weather or discomforts associated with noise, dust, dirt, and the like. May require occasional travel.\n\n \n\nAdditional Information \n\nFull time exempt position\n\nSalary up to $55,000 annually depending on education and experience\n\nVacation, Sick and Holiday pay available\n\nAll employees recognize The Salvation Army is a church and agree that they will do nothing as an employee of The Salvation Army to undermine its religious mission. To apply, please select the "Apply Now" icon at the bottom of this positing. Application Submittal Period: October 19, 2018 to November 19, 2018 \n All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Equal Opportunity Employer Minorities/Women/Veterans/Disabled
## 265 Do you enjoy working in a fast-paced collaborative work environment? If so, look to begin your career as a Financial Analyst! This position is perfect for recent graduates or for anyone new to the Financial Industry. To learn more about this position, read the description below! Financial Analyst Job Responsibilities Conduct data analysis and research on budgeting issues \nAttend budget meetings and assist with data gathering \nProcess journal entries and accounts \nPerform analytics on financial data \nAssist with month end closing \nCreate/Complete monthly financial statements and divisional reports \n Financial Analyst Job Qualifications Bachelors Degree in Accounting or Finance with at least a 3.0 \nMicrosoft Office Skills, especially Excel \nDetail Oriented \nAnalytical Thinker \n If you are interested in this Financial Analyst Job please click “Apply With Us” or send resumes to [Click Here to Email Your Resumé]
## 266 .\n\nPosition: SAS Data Analyst\n\nDuration: 10 months\n\nLocation: Deerfield, IL 60015\n\n I am looking for a SAS Data Analyst with solid data mining skills and advanced analytics from a banking / financial services / credit card industry background. In this role you will be working with cross-functional business partners and operations to develop and implement first-party fraud strategies and rules, track first-party fraud performance, and continuously improve the process and key performance metrics. \n\n The ideal candidate will be a strategic thinker, possess strong analytical skills, have broad knowledge of risk management, and be detail oriented. Must have effective communication skills, cross-functional relationship management skills with the ability to formulate business issues into analytical problems and derive actionable solutions. Also the ability to translate analysis results into clearly defined and implementable strategies / rules.\n \nResponsibilities\nEnhance new and existing credit risk management strategies geared towards credit bust out activity\nLeverage data manipulation tools, such as SAS, Teradata, Hadoop and etc. and statistical studies as decision tree, link analysis, machine learning, neutral network, text mining and etc. for strategy development and enhancement.\nLeverage statistical studies and data mining skills to prevent credit abuse or credit bust out by identifying synthetic IDs.\nLeverage customer level information, transaction level information, internal and external information to develop strategies regarding to credit bust out behavior.\nResearch of potential, existing and new credit bust out behavior and utilize related findings to credit bust out strategy development.\nFacilitate end-to-end development and implementation process with BT Security and operational teams to ensure accuracy and soundness of execution.\nValidate implemented credit bust out strategies by leveraging advanced SAS and statistical skills for post-installment performance.\nCollaborate with operational team for execution concerns and improvement.\nLeverage advanced analytical skills to enhance the efficiency and effectiveness of the working process for operational team.\nPromote a risk-aware culture, ensuring efficient and effective risk and compliance management practices by adhering to required standards and processes. \n\nQualifications\n2 years analytical experience within consumer finance industry\nExperience working in a cross-functional environment\nProven track record of independently managing a project end-to-end\nExtensive SAS and SQL programming experience in PC/Unix environments\nExcellent written and oral communication skills including effective delivery of technical information to non-tech audience\nProficiency with SAS, SQL, Excel, and Power Point Education\nBachelor degree in quantitative disciplines (mathematics, statistics, finance, econometrics, engineering, etc.).\nMaster degree is a plus. \ncrs_mgallian\nSS# 83120\nQualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.
## 267 Statistician III\nResponsibilities:\nECD Statistics is looking for a motivated and experienced statistician with a solid background in nonclinical statistics, strong consulting skills, and an interest in collaborating with research scientists in drug discovery and development.\nWork closely with research scientists seeking to Client new medicines in a variety of therapeutic areas by supporting the design and analysis of preclinical experiments covering all aspects of drug discovery from disease target identification, pharmacology studies, animal model development, biomarker development and demonstration of proof of concept.\nFocus will be on both "platform " approaches (ie ensuring robust assay methods) as well as specific project approaches.\nCollaborate with preclinical scientists across research units (Immunology & Inflammation, Internal Medicine, Rare Disease, CTI) to design, analyze and present experiments.\nBring innovative statistical thinking and methods to help drive the enhanced quantitative drug discovery and development paradigm within company.\nEnsure rigorous approaches are taken to ensure good scientific practices are followed: excellent statistical methods utilized and documented in protocols, analysis plans and manuscripts, and assay methods are appropriately blinded, randomized and designed to meet clear objectives.\nServe as a core member of scientific teams responsible for determining strategy and delivering results in a timely and high quality manner.\nWork with scientists to understand the biology and improve existing biomarkers, endpoints, derive new endpoints, and develop 'fit-for-purpose' statistical models.\nUse statistical expertise to prepare both internal and external reports, presentations and manuscripts, with the aim to improve the quality of internal decision making and increase our influence on the external environment.\nStandardize processes and methodologies within and possibly across therapeutic areas may include developing statistical tools to aid scientists in standardize analyses.\nProvide statistical expertise on regulatory submissions and ensure quality of deliverables.\n\n\nStatistician III\n\nJob Requirements\n\nStatistician III\n\nW2 ONLY!!!\nQualifications:\nPhD in Statistics/Biostatistics and at least 3-5 years of pharmaceutical experience or a MS in Statistics/Biostatistics and at least 5-8 years of pharmaceutical experience.\nMaster's or PhD in biology; Bachelors OK if they have PhD in Statistics.\nNeed to know how biological pathways work.\nHave published statistical papers.\nStrong pre-clinical and non-clinical experience is required.\nNeed to understand the "language " of biologists.\nMust have strong technical competence.\nCapability to provide statistical leadership to cross-functional teams.\nSound understanding of design of experiments, assay development, and statistical applications for preclinical research.\nGood knowledge of drug development regulations pertinent to statistical analysis.\nPreferred candidates will have good computational skills in SAS, R, or S-Plus.\nGenuine interest in understanding drug target biology in order to provide effective statistical consultation with biological scientists.\nInterest in biology, graduate level training preferred.\nStatistician III
## 268 Accounting Principals is working with a fast growing company that is in need of a financial analyst. The job is a part of a great atmosphere that values the employees that work hard. The position entails: Financial report preparingReviewing contracts for compliance\nConducting data analysis and research on budgeting issues\nPerform analytics on premium, cash and other financial data\n Requirements include:Bachelor's Degree in Finance/Accounting\n2+ years experience\nProficiency with Excel such as V lookups and Pivot tables\n If you are interested in learning more about this Financial Analyst job in Sacramento, CA. Please apply now for immediate consideration. We are looking to have someone in the seat soon to start training. Apply today! Please send your resume to [Click Here to Email Your Resumé] or go to www.accountingprincipals.com to be considered for all our openings. Thank you.
## 269 This position is open as of 10/21/2018.Principal Python Engineer (APIs, Distributed Systems)If you are a Principal Python Engineer needed immediately with experience, please read on!What You Will Be DoingAs an integral member of the backend team, you'll participate in architecture sessions and provide valuable input, while also learning from the senior members of the team. You'll be expected to design, implement, and maintain APIs that are well-tested, well-documented, and maintainable. You like coding clean, and take deadlines seriously. You'll also have plenty of mentorship opportunities, and will be expected to constantly learn and push your own technical boundaries.What You Need for this Position•Experience building and maintaining APIs.•Solid knowledge of Python from a backend/object-oriented perspective (not just data science or scripting)•Experience with SQL databases.•Awareness of concepts related to distributed systems (e.g. message queues, asynchronous tasks, pub-sub systems).•Proficient in at least one compiled and one interpreted language.Nice to have:•Experience in C, AWS, Kubernetes•Experience with cryptography or blockchainOur key technologies: •Backend: Python (gRPC, Tornado), C, postgresql, RabbitMQ•Infrastructure: AWS, Kubernetes, Docker•OS: LinuxWhat's In It for You•The opportunity to join a well-funded, cutting-edge financial technology company at a very early stage•Competitive salary and equity•Competitive medical benefits•401k•Flexible working policies: we work twice a week from home•Smart coworkers who are world class experts in the field of cryptographySo, if you are a Principal Python Engineer needed immediately with experience, please apply today!Required SkillsPython, gRPC, Tornado, C, RabbitMQ, AWS, SQL, Kubernetes, DockerIf you are a good fit for the Principal Python Engineer (APIs, Distributed Systems) position, and have a background that includes:Python, gRPC, Tornado, C, RabbitMQ, AWS, SQL, Kubernetes, Docker and you are interested in working the following job types:Information Technology, Engineering, Professional ServicesWithin the following industries:Computer SoftwareOur privacy policy: Your resume and information will be kept completely confidential.Looking forward to receiving your resume through our website and going over the job in more detail with you!CyberCoders, Inc is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.Your Right to Work – In 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 verification document form upon hire.\n\nJob Requirements\n\nPython, gRPC, Tornado, C, RabbitMQ, AWS, SQL, Kubernetes, Docker
## 270 Responsibilities will include, but are not limited to: \nActively provide statistical support to the Clinical R&D Department. \nProvide statistical input into the design of protocols including preparation of the biostatistical analysis section. Suggest optimal statistical designs that are acceptable by regulators. \nPrepare statistical analysis plans including table shells. \nAnalyze and report results of clinical trials. Provide tables, listings and graphs for final study reports. Provide ad hoc/data driven analyses as needed \nProvide statistical input for the preparation of final study reports and other required documents. \nProvide statistical support for integrated reports, submissions preparation, and post-submission activities. \nSupport preparation of manuscripts. \nProvide project requirements to programmers. \nServe as statistical lead on studies as needed \n\nManage outside CROs and consultants as needed. \nWork closely with different departments in the company (regulatory, clinical, marketing, data management, health economics, etc.) and provide statistical support for a variety of functional groups. \nSkills/Knowledge Required: \nPh.D. or MS in statistics with a focus on statistical methods appropriate for clinical trials. \nExperience in clinical drug development of at least 2 years for Ph.D. and 4 years for MS. \nGood planning and project management skills with experience in a pharmaceutical statistical department including direct interaction with clinical personnel. \nDemonstrated skill in the planning, analysis and reporting of clinical trials. \nDetailed knowledge of statistical regulatory requirements/regulations and currently acceptable statistical methodologies. \nExcellent SAS skills.. Willingness to be hands-on when needed. \nKnowledge of MS Office products (Word, Excel, PowerPoint) \nGood interpersonal, communication, writing and organizational skills. \nDemonstrated ability to work in a team environment with medical personnel, clinical monitors, data managers, programmers and medical writers.\n\n\n\n\n\n\n\n\nEEO EmployerApex is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at 844-463-6178.
## 271 We are currently partnering with an industry-leading organization on a search for a Financial Analyst to support this firm's goal of substantial growth. \n\nHighlights\nCompany has been consistently recognized as a top place to work\n\nGreat benefits package that includes medical insurance, dental, vision, short and long term disability, 401k with company match, and paid time off!\n\nPosition has heavy exposure to Operations \n\n\nKey Responsibilities:\n \n\nWork with accounting staff to prepare balance sheet reconciliations, analysis, and walk-forwards\n\nPerform month-end close and account reconciliations \n\n\nAssist with the preparation of monthly financial statements\n\nConduct data analysis and review of quarterly and year-end reporting schedules\n\nMonitor key performance indicators and implement corrective actions\n\nEnsure proper application of internal controls in financial reporting\n\nAssist with outside auditors by providing required information\n\nProvide support to assigned business units for analysis and preparation of budgets and forecasts \n \n \n\nJob Requirements\n\nRequired education and experience:\n\n\nBBA in Accounting or additional accounting hours equivalent to an accounting degree\n\nActive CPA\n\n3+ years of experience in a Big 4 / second tier public accounting firm OR 6+ years of accounting experience public/private mix \n \n\nPreferred education and experience:\nStrong Microsoft Excel, PowerPoint, and Access skills\n\nExperience with Oracle a plus
## 272 Consider a career at Santa Clara Family Health Plan (SCFHP), a public, not-for-profit plan of over 250,000 members serving Santa Clara County. \n\nFLSA Status: Exempt\nDepartment: Finance\nReports To: Director of Health Care Economics\n\nGENERAL DESCRIPTION OF POSITION\nThe Senior Health Financial Analyst is responsible for performing finance responsibilities and analyzing a variety of health plan data. The incumbent aggregates large datasets, carries out functions in databases, and performs business and financial calculations. \n\nESSENTIAL DUTIES AND RESPONSIBILITIES\nTo perform this job successfully, an individual must be able to perform each essential duty listed below satisfactorily.\n1. Responsible for revenue and cost reconciliation activities using capitation invoices, eligibility files, claims and expense data and other relevant reports. \n2. Design and prepare reports that analyze the financial outcome of programs and make recommendations based on that analysis. \n3. Understand and track applicable regulatory and reporting requirements.\n4. Prepare reports required by regulatory agencies and ensure compliance with reporting requirements. Ensure accuracy and regulatory compliance for all materials or documents.\n5. Develop executive level reporting summarizing the financial, utilization and operational impacts of organizational initiatives.\n6. Analyze data to generate dashboard metrics and reports at required intervals (e.g., monthly/quarterly) for senior management, including medical loss ratios, medical costs, medical trends, and provider profiles.\n7. Use database skills to create queries, reports, and other output to produce analytics to support SCFHP’s business needs (e.g., financial, medical management, contracting).\n8. Retrieve and compile information, databases, and/or reports from internal and external sources.\n9. Support HEDIS and medical management analytical and reporting needs.\n10. Collaborate with Information Technology to validate report portal and data marts.\n11. Collaborate with Information Technology to provide encounter data reconciliation between regulatory agencies and health plan claims detail to ensure accurate and complete data.\n12. Support organizational needs by performing complex analyses on a wide range of organizational data; investigate and uncover root causes, identify trends, and propose solutions.\n13. Ensure understanding of customer needs by proactively clarifying scope and requirements and keep customers apprised of project status through effective communication.\n14. Perform data acquisition, data quality and validation, data analysis, data reporting, and present findings and recommendations to end users. \n15. Create and maintain documentation for all reporting and analyses. \n16. Perform other related duties as required or assigned.\n\nJob Requirements\n\nThe requirements listed below are representative of the knowledge, skill, and/or ability required or desired.\n\n1. Bachelor's Degree in Accounting, Finance, Business Administration, or related field; or equivalent experience, training, or coursework.\n\n2. Minimum three years of experience with the duties and responsibilities described above in health care.\n\n3. Superior analytical and qualitative skills and the ability to deal with complex problems/issues and large data sets.\n\n4. Relational database skills using various database tools.\n\n5. Strong working knowledge and proficient with Microsoft Office applications, particularly Access, Excel, PowerPoint, and Word.\n\n6. Knowledge of health care delivery and financing, especially with public programs. \n\n7. Strong oral and written communication skills, including the ability to express oneself clearly and concisely; and the ability to effectively interact with and present findings to customers at all levels of the organization.\n\n8. Ability to gather and analyze a wide variety of data, organize and write reports, and organize work efficiently. \n\n9. Ability to achieve high quality deliverables by assuring accuracy and thoroughness in executing projects.\n\n10. Ability to understand, interpret, and apply applicable rules, regulations, and establish and evaluate priorities. \n\n11. Self-directed with proven ability to assume responsibility, work independently, meet deadlines, prioritize, and move projects/deliverables to completion with accuracy and minimum supervision.\n\n12. Ability to take initiative and exercise good judgment when making decisions within the scope of the position.\n\n13. Ability to think and work effectively under pressure and under ambiguity. \n\n14. Ability to maintain confidentiality.\n\n15. Ability to comply with all SCFHP policies and procedures.\n\n16. Ability to perform the job safely with respect to others, to property, and to individual safety.\n\n\nDESIRED\n1. Master’s Degree in Accounting, Finance, Business Administration, Health Care Administration. \n\n2. Prior experience in a managed care business environment, particularly with Medi-Cal, Medicare Advantage or Medicare Prescription Drug programs. \n\n3. Prior experience and knowledge related to medical claims/utilization. \n\n4. Experience using SQL, SAS, or other database applications, including skills in SQL to enhance data manipulation/analysis.\n\nWORKING CONDITIONS\nGenerally, duties are primarily performed in an office environment while sitting or standing at a desk. Incumbents are subject to frequent contact with and interruptions by co-workers, supervisors, and plan members or providers in person, by telephone, and by work-related electronic communications.\n \nENVIRONMENTAL CONDITIONS\nGeneral office conditions. May be exposed to moderate noise levels.\n \nBENEFITS\nSanta Clara Family Health Plans offers a comprehensive benefits package including PTO, holidays, medical, dental and vision coverage, CalPERS retirement, 401a and 457 Deferred Compensation retirement plans.\n \n EOE
## 273 \n\nCU Medicine is dedicated to providing healthcare and administrative support to the University Of Colorado School Of Medicine’s nearly 3,000 providers. \n\nWe are seeking a highly motivated Senior Analyst to take on a key role within our Business Development & Planning team.\n\nThe Senior Analyst has the primary responsibility of providing analytical support for business initiatives, including acquisition revenue/expense modeling and other ad hoc requests received by the Department of Business Development & Planning. Practice acquisition revenue/expense modeling will include revenue forecasts for free standing physician practices, and/or surgery centers, imaging centers &/or other settings. Additionally, the individual in this position will identify forecast needs for the business and develop revenue data sets based on industry reimbursement standards as well as CU Medicine commercial contract terms, and federal/state payer fee schedules. The Senior Analyst will develop and maintain modeling systems, and produce detailed analysis for assigned projects (i.e. acquisitions, payer contract analysis, proposals, etc.). The incumbent will report to the Associate Director of Network Development and work closely with the VP of Business Development and other members within the department. \n\nResponsibilities include but are not limited to:\nProvide detailed, analytic support for financial modeling for network development opportunities\nPartner with Associate Director for practice acquisition opportunities, future business models, and historical data available by practice.\nUtilize practice provided data, refine data set and understand data availability.\nModel revenue under CU Medicine practice contracts and future state business model.\nSupply revenue forecasts to business development team for practice valuation, profit and loss statements, and future operational scenarios.\nDevelop and maintain databases for commercial contract terms across commercial contract portfolio, as well as federal/state physician fee schedules.\nCollaborate with acquisition and commercial contracting team to derive analytical requirements/parameters in the development of consistently high quality revenue projections.\nPrepare post acquisition dashboards to evaluate accuracy.\nWork with external valuation firms as assigned.\nInfluence and/or support decision makers to use appropriate analytics tools and processes to perform advanced data analysis.\nTake initiative on developing new efficiencies to help department provide excellent customer service.\nMaintain understanding of data systems and tools such as myBI, CHA, Sg2, eSpatial and HAI\nPerform other duties and assist with special projects as assigned.\n\n\n\n\nJob Requirements\n\n\n\nRequires a bachelor’s degree in computer science, business, economics, or mathematics combined with a minimum of 5 years relevant industry experience related to revenue/health care costs analysis or physician billing, insurance, or other analogous healthcare environment. Must have experience in gathering information and understanding the context from several sources and analyzing this information in order to develop methodologies and conduct analyses. Expertise in RBRVS, site of service differentials, ASC and free standing imaging is essential. High level proficiency in analytics using Microsoft Excel, Access is required. Training will be provided on MyBI (CU Medicine data warehouse) for downloading data to be analyzed in Access or Excel. Must demonstrate exceptional spreadsheet, graphing and flow-charting technical skill sets. The ability to collaborate in a team environment working cohesively with others to achieve goals and initiatives is essential. The ideal candidate will be flexible and demonstrate the ability to maintain positive working relationships. \n\nTO APPLY FOR THIS POSITION, please visit our website at www.cumedicine.us. Reference job number #237. All applications MUST be submitted via our website. \n\nCU Medicine is dedicated to ensuring a safe and secure environment for our staff and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees prior to their employment. Additionally, drug and health screenings may be required for some positions. We are an equal opportunity employer.\n\nCU Medicine supports a Tobacco Free Workplace Environment which prohibits smoking and the use of tobacco products on CU Medicine property, Anschutz Medical Campus and adjacent business locations.\n\n\n
## 274 Senior Finance Analyst - DallasWe are currently seeking a Senior Finance Analyst to join our client finance team. This role will be based onsite with our client in Dallas.Our Senior Financial Analyst is a collaborative team member supporting core business analysis and metrics for the account. If you are a clear communicator, organized with effective time management skills, demonstrating a willingness to learn and adapt, with the highest standards of behavior, collaborative manner and work ethic then this role is for you. What this job involves: Financial AnalysisFinancial modeling, analysis and compilation of quantitative data\nPerform variation analysis\nProvide analytical support for cross-functional Six Sigma and other quality projects\nProvide analytical support to transform behaviors and techniques\nSupport cost-savings and process improvement initiatives\nPerform complex data analysis using Six Sigma and other statistical tools\nAnalyze performance data to forecast/trend.\nProvide discrete and confidential handling of sensitive information\nReportingComplete and support regular and ad-hoc reporting including informal and formal internal and client-ready documents, reports, graphs, charts and presentations.\nCollaborate with team to develop efficient reporting strategies including automation and simplification of reporting processes while preserving data integrity\nTeamworkParticipate in the development and distribution of best practices, process documentation, and user support materials for data management tools.\nUse team SharePoint site for data collection, reporting and communication.\nDemonstrate high level of customer service with client contacts and internal team.\nCollaborate with team to share and improve technical skills\nSound like you? Before you apply it’s worth knowing what we are looking for:A Bachelor’s degree in Accounting or Finance and a minimum of 3 years of related work experience\nStrong accounting skills\nExcellent computer skills including proficiency in Excel, Word, Outlook and PowerPoint\nProficiency in computer-based accounting applications; experience with JD Edwards platforms a plus\nStrong analytical, organizational, and coordination skills\nExcellent verbal and written communication skills \nStrong presentation skills to internal and external parties\nDemonstrated consistency in values, principles and work ethic\nUnderstanding of and commitment to client service\nA desire to work within a fast-paced, diverse, collaborative, and driven team environment\nWhat you can expect from us You’ll join an entrepreneurial, inclusive culture. One where we succeed together – across the desk and around the globe. Where like-minded people work naturally together to achieve great things.Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, wellbeing, benefits and pay. We’ll offer you a competitive salary and benefits package.Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you...Apply today!#LIJLL Privacy StatementWhen you visit JLL websites, JLL may collect information related to those visits, without you actively sending that information. This information may include, for example, the internet browser you are using, your access device’s operating system, the language in which that system presents information to you, your IP (Internet Protocol) address, the web search that took you to the JLL website, the web pages and advertisements displayed to you, and the links you click on.For additional details please see JLL's Global Privacy Statement or our career site pages for each country.For employees in the United States, please see a fully copy of our Equal Employment Opportunity and Affirmative Action policy here.
## 275 Employee Perks Why You Will Love Being Part of the Navy Federal Team:*Competitive compensation with opportunities for annual raises, promotions, and bonus potential*Best-in-Class Benefits! (7% 401k match / Pension plan / Tuition reimbursement / Great insurance options)*On-site amenities include fitness center, wellness center, cafeteria, etc. at Pensacola, FL; Vienna, VA and Winchester, VA campuses*Consistently Awarded Top Workplace*Nationally recognized training department by TRAINING Magazine IND123*An employee-focused, diverse, and service-oriented workplace environmentBasic Purpose Analyze, determine, coordinate, and implement continuous process improvements (CPI) to achieve end-to-endbusiness optimization of moderately complex business processes and systems. Research internal processes andcapabilities to improve Return on Investment (ROI), enhance the effectiveness of the business and/or services andreact effectively to business needs with moderate latitude for discretion. Provide guidance and advice to managementon the most efficient use of resources to obtain positive and measurable results. Perform moderately complexprocess improvement functions under supervision.Responsibilities:• Utilize business process reengineering (BPR) techniques, model business processes, and conduct data analysis to examine end-to-end business processes to improve efficiency and operations• Provide follow-up to monitor the progress of planned improvement implementation to assure timely action, support and achieve expected benefits• Collaborate with functional areas to develop and maintain performance metrics, measurements, methods and targets • Obtain and analyze quantitative and qualitative data of business processes to determine solutions and promote data driven decisions• Research and evaluate opportunities related to process flow variance deficiencies • Develop and implement processes and procedures to ensure correct recording of actual labor • Analyze processes and workflows to understand value chain, input/output, to improve and/or automate business performance • Leverage best practices gained through process improvement activities to other activities which would benefit from implementation • Analyze, define, and document technical design for data, workflow, logical processes, hardware and operating systems environment, interface with other systems, internal and external controls and output• Provide guidance and advice to management on the most effective and efficient use of resources to obtain measurable process improvements• Ensure the implementation of new and enhanced processes• Ensure business unit awareness of Navy Federal products, services, marketing, promotions, policies and procedures• Identify and assess business strategies and opportunities; develop appropriate analytical approaches • Full life-cycle project managemento Establish and lead project teamso Develop project plan/scope/schedule/cost/communicationso Procure and/or manage resources/timelines/deadlines/qualityo Risk, Issue and Change managemento Ensure successful project implementation• Ensure and/or collaborate with internal business partners to facilitate the design and acquisition of analytical tools required for the architectural design of technical internal solutions to monitor/assess the effectiveness of controls • Monitor key performance indicators, determine gaps in performance metrics, and recommend/execute change management techniques for efficiency/quality improvements • Perform other duties as assignedQualifications (Level I):• Bachelor’s Degree in Business Administration, Finance, or the equivalent combination of training, education, and experience• Lean Six Sigma certification (L-6S) or the equivalent combination of training, education, and experience• Certified Business Process Professional (CBPP) or the equivalent combination of training, education, and experience• Working knowledge of process mapping/modeling and business process reengineering• Experience in leading teams in business process improvement initiatives• Effective skill in project management to include establishing and leading project teams; managing timelines/deadlines/resources; ensuring successful project implementation• Experience in leading teams in business process improvement initiatives• Effective skill communicating with all levels within an organization• Effective skill exercising initiative and using good judgment to make sound decisions• Effective research, analytical, and problem solving skills• Experience in the application of statistical methods, mathematical techniques, forecasting, cost-benefit analysis and related analytical tools• Effective skill in the analysis of technical issues in order to recommend, develop and/or implement strategies and achieve objectives• Working knowledge of market trends, business strategies and technology and their interrelationships• Effective analytical thinking skills to include summarizing information and clearly identifying key elements, patterns, results or relationships• Experience in working effectively with diverse internal and external contacts• Effective analytical/quantitative, reconciliation and deductive reasoning skills• Advanced verbal and written communication skillsQualifications (Level II):• Bachelor’s Degree in Business Administration, Finance, or the equivalent combination of training, education, and experience• Lean Six Sigma certification (L6-S) or the equivalent combination of training, education, and experience• Certified Business Process Professional (CBPP) or the equivalent combination of training, education, and experience• Certified Business Process Improvement/Reengineering Practitioner (CBPR) or the equivalent combination of training, education, and experience• Advanced knowledge of process mapping/modeling and business process reengineering• Advanced skill in project management to include establishing and leading project teams; managing timelines/deadlines/resources; ensuring successful project implementation• Significant experience in leading teams in business process improvement initiatives• Advanced skill communicating with all levels within an organization• Advanced skill exercising initiative and using good judgment to make sound decisions• Advanced research, analytical, and problem solving skills• Significant experience in the application of statistical methods, mathematical techniques, forecasting, cost-benefit analysis and related analytical tools• Advanced skill in the analysis of technical issues in order to recommend, develop and/or implement strategies and achieve objectives• Advanced knowledge of market trends, business strategies and technology and their interrelationships• Advanced analytical thinking skills to include summarizing information and clearly identifying key elements, patterns, results or relationships• Significant experience in working effectively with diverse internal and external contacts• Advanced analytical/quantitative, reconciliation and deductive reasoning skills• Advanced verbal and written communication skills• Desired – Project Management Professional (PMP), or the equivalent combination of training, education, and experienceHours:Monday-Friday, 8:00AM-4:30PMEqual Employment Opportunity Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability
## 276 Company ProfileGrainger is a broad line, business-to-business distributor of maintenance, repair and operating (MRO) supplies and other related products and services. More than 3.2 million businesses and institutions worldwide rely on Grainger for products such as safety gloves, ladders, motors and janitorial supplies, along with services like inventory management and technical support. These customers represent a broad collection of industries including commercial, government, healthcare and manufacturing. They place orders online, on mobile devices, through sales representatives, over the phone and at local branches. Approximately 5,000 suppliers provide Grainger with more than 1.6 million products stocked in Grainger’s distribution centers and branches worldwide. Primary FunctionApply statistical and other quantitative methods to the ongoing pursuit of “understanding the customer and marketplace”. The decisions made by this position have an impact on the organization through the development of analytical work that enhances the success of tactical initiatives. Primary Duties and ResponsibilitiesDevelopment and maintenance of statistical or other quantitative models in support of internal client activities\nPlan, execute, and effectively communicate the results of strategic database analyses\nConducts analysis of market data and customer information, identifying patterns, trends and translating those into actionable insights \nUtilize measurement and analysis techniques to quantify results of business activities. Assist in the education of various business partners on analysis methodologies\n Preferred Education & Experience:Bachelor’s degree in statistics, economics, mathematics, or related field. Master’s degree in statistics, economics, or analytics preferred\nExperience with linear regression, logistic regression, cluster analysis, time series analysis, or other machine learning techniques\nExperience with SPSS, SAS, R, Python, or SQL\nStrong business acumen\nExcellent communication skills\n EEOC Statement Grainger is an Equal Opportunity Workplace and an Affirmative Action Employer. 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.
## 277 \nOverview\n\n• IT Financial Planning Analyst supporting the IT Expense Model, IT Budget Planning, IT Chargeback Reporting and other Financial Analysis and reports• Compiles and analyzes financial information for the IT organization. • Develops integrated revenue/expense analyses, projections, reports, and presentations. • Creates and analyzes monthly, quarterly, and annual reports while ensuring integrity of data. • Identifies trends/developments with ability to articulate findings in presentations to management. • Performs financial forecasting and reconciliation of internal accounts.\n\nResponsibilities\n\n• Provide financial analysis support on budgeting, invoicing, vendor contracts and financial reports for technology spending on services and products.• Collect, synthesize, organize, and manage financial data captured in support of IT business units. • Assist IT management in the analysis of respective expenditures, by compiling and analyzing financial information for the organization. Develop integrated budget to actual analyses, projections, reports and presentations.• Creates and analyzes monthly, quarterly, and annual reports and ensures financial information has been recorded accurately. Identifies trends and developments in alignment with stakeholder expectations and presents findings to senior management.• Ensure the storing, archiving, and log layout of information resources is consistent.• Understand the IT budget planning processes, cost allocation processes, and associated financial management standards in order to support effective billing processes coding costs to appropriate funding sources, follows required approval processes and posts to the correct financial accounts.• Review projects, budgets, invoices and contracts for reasonability and accuracy and make any necessary recommendations to senior management. • Identifying, investigating, resolving budgeting and billing discrepancies related to improper project accounting of costs, discrepancy in trends, incorrect coding or account setup. • Focus upon the consistency of information captured across various systems within the IT financial management domain, e.g. budgeting, invoicing, project portfolio system, time tracking system(s), procurement, Finance systems.• Responsible for supporting the maintenance and maturity of various models and systems that manage and administer financial data analytics that include granularity on vendors, projects, technology components and stacks, time-tracking, cost allocation metrics, etc. • Provide backup support to IT Accounting/Purchasing for processing Invoice payments, updating corresponding project and budget worksheets; this includes preparing batches of invoices for data entry, submit invoices for payment, preparing purchase orders, verifying senior management approvals, maintaining inventory files.• Provide support on various projects within IT Administration.• Ensure that IT financial planning continues to support the organization’s business strategy• Strong analytical skills with ability to articulate findings and present to management• Familiar with a variety of the IT financial management concepts, practices and procedures as it relates to the IT financial specialist function. • Relies on instructions and pre-established guidelines to perform the functions of the job. Works under immediate supervision. • Strong project and process management skills with the ability to handle wide range of tasks• Ability to understand risks and to work with other parts of the organization crafting tactics and strategies for risk mitigation• Customer-focused approach to deliver on IT financial management services to internal customers• Strong relationship and interpersonal skills to be applied in collaborating within the IT Team and in its cross-functional customers and stakeholders across the organization• Project office experience, esp. in project accounting and project scheduling • Ability to effectively prioritize and execute tasks • Excellent oral and written communication skills to produce spreadsheets, correspondences, reports and other documents• Flexible and adaptable to work in a dynamic environment• Highly organized and detail oriented• Positive attitude and engage in respectful interactions • Good knowledge of Microsoft Office tools esp. Excel, Powerpoint and Visio• Experience with reporting tools and various systems used in the IT financial management domain (e.g. general ledgers, fixed assets, project/portfolio management, procurement)• Experience a plus with Oracle ERP, Hyperion, MS Project Online, ServiceNow, MS SQL• Capable of working effectively in a fast-paced environment• Ability to work independently on own initiative and as part of a team to meet strict deadlines• Good presentation skills• Detail-oriented • Strong analytic skills• Critical thinking• Collaborative\n\n\nJob Requirements\n\n• Bachelor’s Degree required • 2-4 years of work experience in financial planning/management, information technology• Property & casualty insurance experience desired• Financial Analytics, Metrics and Trend Reports• Standards and Process Assets• Performance Metrics
## 278 Financial Analysts, are you looking to grow your career by applying your expertise to more complex projects with some of the nation's top companies? Let Vaco serve as your advocate in presenting you to clients who are looking for Financial Analysts. Our recruiting staff gives you an advantage over your competition by promoting your strengths and assets directly to hiring managers while helping you to be more prepared for your interviews. From keeping you up to date on market trends and industry expectations, to providing you with valuable insight into the company's culture, compensation expectations and growth opportunities of specific clients, Vaco will give you the edge you need in today's highly competitive job marketplace. If you have a strong background as a Financial Analyst and are looking to move your career forward, let Vaco open the door for you. Apply today!As a Financial Analyst, you will conduct analysis of divisional and department performance as well as prepare any special financial studies that may be needed. You may also be responsible for the development and implementation of new analysis techniques.Your daily duties and responsibilities in this role will generally include:Assisting with detailed and consolidated annual budget\nPreparing monthly forecast and budgets\nAnalyzing and presenting monthly budget to actual variance analysis\nDeveloping, modifying, and updating financial models\nPreparing quarterly and monthly Board reports and related financial analysis\nManaging and tracking capital investments (including calculating depreciation)\nConducting ad hoc/special projects\nPerforming data manipulation and analytics \n\nJob Requirements\n\nAs a Financial Analyst, you must be highly organized and detail-oriented with a strong work ethic and the ability to display a high level of integrity in dealing with confidential information. You should also have strong analytical and problem-solving skills, and enjoy the challenge of working on complex deal structures analysis. In addition, it is important that you display excellent verbal and written communication, interpersonal and presentation skills as well as the ability to summarize conclusions and make recommendations clearly and succinctly.Specific qualifications for the role include: • BS degree in Accounting or Finance; MBA or CPA, preferred• Minimum 2 years of financial analysis experience• Proficiency in the Microsoft Office Suite with advanced Microsoft Excel skills in financial analysis and sensitivity analysis• Proven ability to modify and expand existing customized models to incorporate multiple financing sources and perform data analytics• Ability to simultaneously create and compare multiple financing scenarios and to prepare sensitivity and risk analyses• Solid understanding of financial statements• Preferred use of ERP systems like Oracle and SAP
## 279 Ref ID:00240-9501529972Classification:Financial AnalystCompensation:$30.00 to $40.00 per hourAccountemps is looking?for efficient Financial Analysts with strong social skills and a collaborative work style. Working with successful companies, you will conduct financial modeling on various financial products as well as measure, analyze and forecast performance in conjunction with operating plans. Additional duties include be responsible for?advising management on the allocation of resources to best accomplish objectives and preparing reports for management.?You will be a part of a dynamic team being a key business partner in areas such as forecasting, performance reporting, and expense management. Role Responsibilities: Seeking a highly flexible individual comfortable with large amounts of information, and adept at managing expectations Supporting weekly, quarterly and annual Area/Segment level Bookings and P L forecasting Analyzing performance to date and assessing potential risks and opportunities Understanding and explaining internal and external drivers impacting performance and trending Learning and applying econometric and statistical methods to forecasting? Enabling effective Business Intelligence (BI) to provide forward-looking insight and decision support Provide analytical support during New Year readiness/Year End planning cycle Drive the strategy and business planning process Become embedded within the Marketing and Customer Success organizations. Establish trust and quickly understand the key drivers of the business, economic trends and core metrics Work with senior executives on strategic deep dives by developing financial models and insights on topics such as: Retention forecasts, Campaign Planning Tracking, return on investment of strategic investments, event tracking and execution, strategic resource allocation and prioritization Work closely with cross-functional partners in Accounting, Recruiting, People and Operations to execute against plans Track monthly and quarterly performance through comparison of actuals versus expectations and enable business partners to handle their resources in the best way possible Drive monthly reporting to business partners on financial results and actions required Work with Accounting on the monthly and quarterly financial close process Returning calls to payers within 1 business day To be considered for these positions, please email your updated Word version resume to [Click Here to Email Your Resumé] call us at 760.603.9192. Hope to hear from you soon!\n\nJob Requirements\n\nBA/BS degree from a top-tier university with strong academic performance 2+ years of experience in a highly quantitative role Experience in problem solving through statistical analysis or with large data sets highly preferable (such as in derivatives, structured finance, or business analytics or in a similarly demanding and analytical role) Strong Communication and Interpersonal skills Ability to simplify complex problems and build solutions Strong Microsoft Excel and computer skills (prior experience programming a big plus) Able to build and deliver effective presentations to audiences with wide-ranging backgrounds Financial planning analysis (go-to-market experience preferable) or experience at a top investment bank also desirable Strong interest in data analysis, econometric modelling and statistical analysis Experience in Oracle/Hyperion/SAP Business Objects/SFDC/TableauAccountemps matches highly skilled professionals with accounting finance jobs at the best companies on a temporary and temporary-to-hire basis. Our mission is to provide you with a rewarding finance or accounting job that is well matched to your professional skills \u0096 helping you to advance in your career. Our experience, combined with the resources of our worldwide network of offices, makes Accountemps a great resource for your career. We offer excellent opportunities to find temporary accounting and finance jobs for all experience levels. From accounting clerks and bookkeepers to accounts payable and staff accountants, we can provide you unparalleled access to exciting career opportunities. But don't take our word for it. Our company has appeared on Fortune® magazine's list of "World's Most Admired Companies" since 1998, and 9 out of 10 of our customers would recommend our service to a colleague.Contact your local Accountemps office at 888.670.5403 or visit www.accountemps.com to apply for this job now or find out more about other job opportunities.All applicants applying for U.S. job openings must be authorized to work in the United States. All applicants applying for Canadian job openings must be authorized to work in Canada.© 2018 Accountemps. An Equal Opportunity Employer M/F/Disability/Veterans By clicking 'Apply Now' you are agreeing to Robert Half Terms of Use.
## 280 If you like the idea of helping clients achieve financial security and you’re a whiz at calculations and data analysis, an actuarial career at Mercer might be a great fit for you. We’re an equal opportunity employer committed to embracing a diverse, inclusive and flexible work environment, and we’re looking to attract and retain the best people. Join our Mercer Wealth team!WHAT YOU’LL DO:As part of Mercer’s Wealth business, you’d support your client team in delivering actuarial consulting services to retirement plan sponsors of mid-size to large organizations. Here’s a summary of some things you’ll need to do in this role:Develop liabilities for defined benefit pension plans and post-retirement medical and life plans using Mercer's valuation software\nAnalyze data, review, and reconcile participant information used for valuation and administration\nCalculate plan sponsor contribution requirements and accounting results and produce client-facing reports\nCreate individual statements that outline participant pension benefit information\nComplete annual regulatory requirements for retirement plans, including government filings and audit assistance\nAssist with special projects and client presentations, including retirement plan design & analysis, financial projections, and strategy\nManage internal and external client deadlines and prioritize and address client requests as they arise\nWHAT WE’RE LOOKING FOR IN A CANDIDATE:Bachelor’s degree in math, finance, actuarial science or related field\nExperience working in teams and with large, complex amounts of data\nExcellent analytical skills\nProficiency in Microsoft Excel\nStrong communication and project management skills\nA minimum of one SOA exam passed\nCommitment to achieving ASA/FSA and EA designations\nIf this sounds like you, we’d love to hear from you. Please send in your application.At Mercer, we make a difference in the lives of more than 110 million people every day by advancing their health, wealth, and careers. We’re in the business of creating more secure and rewarding futures for our clients and their employees — whether we’re designing affordable health plans, assuring income for retirement or aligning workers with workforce needs. Using analysis and insights as catalysts for change, we anticipate and understand the individual impact of business decisions, now and in the future. We see people’s current and future needs through a lens of innovation, and our holistic view, specialized expertise, and deep analytical rigor underpin each and every idea and solution we offer. For more than 70 years, we’ve turned our insights into actions, enabling people around the globe to live, work, and retire well. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. At Mercer, we say we Make Tomorrow, Today. Visit www.mercer.com for more information and follow us on LinkedIn and Twitter @MercerMarsh & McLennan Companies offers competitive salaries and comprehensive benefits and programs including: health and welfare, tuition assistance, 401K, employee assistance program, domestic partnership benefits, career mobility, employee network groups, volunteer opportunities, and other programs. For more information about our company, please visit us at: www.mmc.com/. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. For more information, please visit us at: www.mmc.com/diversity.Mercer LLC and its separately incorporated operating entities around the world are part of Marsh & McLennan Companies, a publicly held company (ticker symbol: MMC).Marsh & McLennan Companies and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.
## 281 Why VITAS Healthcare and What Do They Offer Me?VITAS Healthcare is the nation’s leading provider of end of life care. We provide our employees opportunities for professional growth, advancement and competitive benefits. The Performance Improvement Specialist is responsible for providing support for quality assessment and performance improvement activities which includes quality monitoring, evaluation and facilitation of performance improvement projects. Assists with education assessments and activities. Facilitates compliance with Medicare/Medicaid regulations, state licensure laws, VITAS policies, and applicable regulatory/accrediting body. Participates in company-wide quality initiatives. Assists with program-based response to medical record requests.Benefits IncludeCompetitive compensation\nHealth, dental, vision, life and disability insurance\nPre-tax healthcare and dependent care flexible spending accounts\nLife insurance\n401(k) plan with numerous investment options and generous company match\nCancer and/or critical illness benefit\nTuition Reimbursement\nPaid Time Off\nEmployee Assistance Program\nLegal Insurance\nRoadside Assistance\nAffinity Program\n\n\nQualifications\n\nQualified candidates must be credentialed and licensed (as required) health care professional preferred.\nCertified Professional in Healthcare Quality preferred. Knowledge of hospice operations and performance improvement concepts preferable.\nExperience with data collection, basic statistics and statistical measurement tools, and data analysis.\nExcellent interpersonal, communication and facilitation skills.\nMust be organized and detail oriented. Experience with spreadsheet and word processing programs.\n\n\nEducation\n\nBachelor's degree in nursing preferred.\nSpecial Instructions to Candidates\n\nEOE/AAM/F/D/V
## 282 \nFinancial/Business Analysts\n$38-44 p/hr\n(Temp to Perm)\n \nTwo of our largest billion dollar expanding (Financial Services and Pharmaceutical Manufacturing-Distribution) conglomerates seek a degree holding analyst (MBA a +), 3+ years with either financial analysis, business analysis or analytics experience. \n \nResponsible for budget planning, forecasting, revenue, sales and profitability analysis. \nAnalyze and coordinate data for stakeholders and management teams. \nAnalyze ongoing assessment of company’s indirect spend to identify compliance issues and potential savings opportunities. \nProvide analytics for all phases of contract administration and support ad-hoc analytical needs including profitability and cost analysis as well as tracking. \nMust be able to create reports as well as presentations. \n \nThis is an exciting opportunity to join two of the most powerful business/analytics teams known for their quantitative, analysis drive as well as action-oriented approach and culture. Identify business problems, process improvements and develop analytic plans synthesizing conclusions into key findings and insights into actionable solutions as well as help to implement recommendations. \n \nAny data analytics related to procurement or strategic sourcing a +. \nWork with Microsoft Access database to coordinate all divisional data. \nMust have ability to create and present data and findings as well as coordinate database. \nAny spend analysis tools a +. \nSeeking entrepreneur for newly created positions to complete large complex analytical projects end to end. \nConscientious of time delivery of analytic projects and solutions. \nMust have excellent writing, communication, multitasking and strategic skills. \nAny financial services, manufacturer or distribution experience a +. \nMS Suite.\n \nPlease submit resume in Word.doc format (please NO pdf) to [Click Here to Email Your Resumé]\n \n \n*AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER**\n \n\nJob Requirements\n\n*See Above
## 283 General SummaryUnder general direction, analyze and forecast financial, economic, and other data to provide accurate and timely information for strategic and operational decisions. The Senior level will typically: possess well developed knowledge and skills to interpret financial information on costs, prices, expenses and revenues and make recommendations to senior management; complete Standard Cost of Sales for product offerings, become fluent and competent within the informational systems (the Middletown facility utilizes SAP & IFS) conduct and document complex financial analysis projects; develop analysis of economic indicators in order to prepare forecasts and analyze the company's short, medium, and long term position; prepare in-depth evaluations of plans and identify new methods of analysis and presentation; may coach, advise, or train less-experienced financial analysis staff. This position reports to the Site ControllerPrincipal Duties and Accountabilities (*Essential Functions)Analyze and forecast financial, economic, and other data to provide accurate and timely information for strategic and operational decisions\nOperate within informational system environment to collect, report and analyze transactions and data\nCompile, analyze and report product costs and Standard Cost of Sales\nCollect, compile, verify, and analyze financial information and economic indicators so that senior management has accurate and timely information for making strategic decisions\nHeavy data analysis of revenues, expenses, costs, prices, investments, cash flow, profits, labor market trends, inflation, interest rates, and exchange rates\nAssist departmental and Auditor/Controller staff in the ongoing maintenance of accounting information systems\nPrepares and presents comprehensive evaluations, proposals, and recommendations to executive management, advisory committees, and elected officials\nMay coach, advise, or train less-experienced financial analysis staff \nQualifications, Educational Skills and ExperienceBachelor's degree\nFive or more years of experience or any equivalent combination of relevant education or experience\nStrong attention to detail\nExcellent communication skills, written and verbal\nStrong analytical, researching, and investigating skills\nPhysical DemandsThe ability to remain in a stationary position roughly 80% of the time, as well as the ability to move about the office occasionally (accessing files/storage, office equipment, computers and other office productivity devices, attending meetings, etc.), is requiredUsing a computer while sitting for extended periods is commonNo heavy lifting is expected, though occasional exertion of 10-20 lbs. of force (e.g., carrying a laptop, binder, or both) is required. Good manual dexterity required to use common office equipment (e.g., computers, mobile devices, calculators, copiers, scanners)Work EnvironmentThe job is in a traditional office setting. Extended periods of sitting while using a computer or other devices are common.
## 284 A manufacturing client is hiring a mid-level Data Scientist who has a high level of technical knowledge and business experience using data science to improve business operations. The role will include technical support to integrate data solutions to customers, improve training programs and process, bolster marketing efficiency, and provide direct insight to internal business leaders. As the role progresses, you will also be the driving force in sharping the future Data Science practice in training and hiring.\n\nDuties:\nSupport sales teams with data driven solutions to customers\nImprove the technical training program using statistical, data-driven solutions to the training team/leaders.\nWork alongside marketing to create data-driven marketing materials.\nSupport general business research for all business units/operations\n\nJob Requirements\n\nRequired Qualifications:\nBachelor's Degree required. Master's Degree preferred. (recent grads please apply)\nStrong verbal and written communication skills.\nStrong business acumen and ability to quickly understand needs and requirements\nTrack record of success in establishing lasting relationships with internal and external customers. \nExperience with and exposure to (professional or educational) SQL/R/Python/RDB or other statistical software.\n12+ months experience in using data and related software to solve business problems in an enterprise environment. (internships will be considered)\nDeep statistical knowledge. \nDeep database knowledge - querying, combining, manipulating.\nPrevious experience with a global organization highly desired.
## 285 5213 – Finance Analyst Supervisor – Finance Department(Financial Transactions Division)(Job# 2018-01122)Starting Salary: $64,792 AnnualThis position is in the Financial Transactions Division of the Pima County Finance & Risk Management Department.Salary Grade: 64This position is located in the Financial Transactions Division of the Department of Finance and Risk Management. The successful candidate will work in a team environment, supervising other members of the Financial Transactions Division who maintain the reliability of multiple enterprise systems and provide support to all County users. This classification, which is used exclusively by the Central Finance department, supervises and participates in the analysis, review, preparation and revisions for all County departments' operating Capital Improvement Program (CIP) budgets and/or cash flow projections; performs collection efforts for all applicable County departments; co-ordinates, monitor and evaluate grants for all County departments.Proof of education will be required at time of interview.Requirements:(Work assignments may vary depending on the department's needs and will be communicated to the applicant or incumbent by the supervisor.) Supervises and reviews budget, cash, collections and grant reporting analyses and projections prepared by staff to insure accuracy, completeness and appropriateness of recommendations; Coordinates preparation of the operating and Capital Improvement Program budgets for all County departments; Prepares, analyzes, reviews and reports cash flow projections and collection efforts; Consults with and advises all County departments regarding cash flow projections; Supervises, conducts, and participates in special short and long range, County wide financial related research studies and develops reports with findings and recommendation; Consolidates revenue and expenditure projections for all County departments, analyzes and evaluates trends, identifies problems and recommends solutions; Consults with and advises all County departments regarding policies and procedures for budget preparations and monitoring, collection and monitoring of accounts receivable and monitoring grant application preparation and submission; Assist in the development of methods and procedures for budget and fiscal analysis and control; Assists manager in the development and maintenance of policies and procedures for operating and CIP budgets, collections of accounts receivable; cash flow analysis and grant preparation and submissions; Consolidates the recommended operating budget for review by the Board of Supervisors; Assists in the preparation of the budget schedule and revision of the budget manual, forms, and presentation format; Assists in the development of computer applications, screens, and reports for the Operating and CIP budgets, and tests systems for integrity and reliability of data; Collects data for and prepares the tax levy for all taxing districts of Pima County; Works with all County departments and outside consultants in the development of forecasting models and databases; Monitors all grants to ensure compliance with grant provisions, County policies and procedures as well as local, state and federal regulations; Performs collections efforts of all delinquent departmental accounts receivables; Supervises, trains and evaluates staff. KNOWLEDGE & SKILLS: Knowledge of:mathematics, research design and methodology, and statistical analysis as they apply to budgetary control and financial management and research projects;\nmanagement analysis as it applies to organizational financial systems;\nthe preparation of analytical reports and studies;\nresearch methods and report presentation techniques;\nbudget reporting systems and controls;\nprinciples and practices of management as they apply to organizational structures and reporting relationships;\ndata collection, research, and audit practices, methods and techniques;\ngeneral governmental financial and budgetary principles and practices;\nautomated accounting systems, and word processing, spreadsheet and database applications;\nthe principles and practices of effective supervision;\nthe impact of relevant laws, statutes, and ordinances as they apply to financial, grant and budget processes;\nlocal, state and federal laws, rules and regulations as they pertain to financial and budget management.\n Skill in:analyzing, interpreting and reporting research findings and making appropriate recommendations;\nanalyzing management and organizational systems for operational efficiencies.\nresearching, analyzing, interpreting and auditing financial and budgetary data and preparing reports on findings;\nperforming applicable statistical and mathematical analysis;\ncommunicating effectively, both orally and in writing;\nidentifying budgetary problems and developing concise recommendations for revision and improvement;\nusing computer-based resources to facilitate assigned work;\nplanning, organizing and reviewing the work of others.\nMINIMUM QUALIFICATIONS:A Bachelor's degree from an accredited college or university with a major in public or business administration, finance, accounting, economics, or a related field and three years of professional level budget, auditing or accounting analysis, financial management research, or fiscal administration experience and two years of lead or supervisory experience. (The two years of lead or supervisory experience may be concurrent with the aforementioned budget or financial experience.) Qualifying education and experience must be clearly documented in the "Education" and "Work Experience" sections of the application. Do not substitute a resume for your application or write "see resume" on your application. PREFERRED QUALIFICATIONS (Be specific in describing your experience in your application. Ensure the descriptions provided illustrate your competencies, specifically addressing the required and preferred qualifications.):At least two (2) years of experience reconciling multiple enterprise systems, including data mining and data analysis.\nExperience participating in system implementations, upgrades or patch testing.\nExperience using (SSMS) SQL Server Management Studio.\nAt least one (1) year of functional system administration experience. \nSelection Procedure: Pima County Human Resources Department reserves the right to admit to the selection process only those candidates that meet the minimum/desired qualifications. All applications will be assessed based on an evaluation of the listed education and experience. Candidates meeting the minimum/desired qualifications may be further evaluated/scored against any advertised Preferred Qualifications. The hiring authority will interview and select the successful candidate from a referral list provided by Human Resources. Additional assessments/testing may be required as part of the selection process.OTHER REQUIREMENTS:Physical/Sensory Requirements: Physical and sensory abilities will be determined by position.CLOSING DATE: Friday, October 19, 2018 11:59 PM Arizona TimeWhen applying to this position, please note the Job# is 2018-01122.EOE
## 286 Position Summary - A general statement regarding the overall objective of the positionThe learning resource analyst provides reporting support and analysis to WGU's Academic Programs Department. The learning resource analyst will use knowledge of industry best practices and internal WGU goals, procedures, and constraints, synthesized with data from various internal and external sources, to enable leadership to make informed decisions.Essential Functions and Responsibilities - List of significant responsibilities and essential duties that must be completed in order to achieve the objectives of the positionTracks student engagement in course and WGU library learning resources (LRs) to reconcile billing from partners, using various billing models and internal and/or vendor-provided data\nCreates LR billing and usage reports, and responds to billing questions, in a timely manner\nMonitors incoming invoices for accuracy and acts as a gateway for all LR usage payments\nWorks with vendor portfolio manager (VPM) to resolve any concerns or disputes regarding billing discrepancies, contract service level agreements (SLA), and contract questions\nAttends contract negotiation meetings to provide information on billing and usage\nAssists with the development of budget forecasts and tracks expenditures to ensure LR does not exceed budgeted amounts\nProvides a monthly report for stakeholders and senior leadership showing LR costs, projects, and concerns\nAdvises management and team on pricing options and assesses multiple scenarios to determine best pricing for resources\nAttends LR-related meetings and provides updates regarding pricing, billing, and usage\nEvaluates LR contracts and proactively looks for opportunities to lower costs\nRequired Skills:Ability to perform advanced data analysis and modeling\nAbility to produce high-quality, accurate reports\nUnderstanding of relational databases\nExcellent time management and reporting skills\nAbility to work well in a combination remote and in-office team environment\nAbility to present information to stakeholders in a clear and concise manner\nStrong oral and written communication skills\nSolid technical and problem solving skills\nRequired Experience:Bachelor's degree (master's degree preferred)\n2+ years in practical financial analysis\nFinancial Modeling experience a MUST\n2+ years in strong accounting and/or finance background a MUST!\nHigher education experience preferred
## 287 “Jacobs National Security Solutions (NSS) provides world-class IT network and service management capabilities; cutting edge cyber threat awareness and cybersecurity solutions; innovative web- and software applications development; and advanced data analytics for major clients in the Intelligence Community, Department of Defense, and Federal Civilian Agencies. Our forward thinking solutions deliver an integrated approach to IT network design and management, full lifecycle IT service management, IT service delivery, asset management, logistics and procurement, and vendor management. We leverage the expertise and passion of our employees to conduct identity and access management, penetration testing, and vulnerability assessments for our nation’s most closely guarded agencies and networks. Our Cyber Security Operations Centers ensure safe, effective network operations for Federal clients while our data scientists are helping stop illegal acts before they can endanger Americans or our way of life. Jacobs promotes a culture of operational excellence to create a safer, smarter, and more connected world while upholding the highest standards of compliance, quality and integrity. We continue to thrive and need your talent and motivation to help propel us farther, faster.” Jacobs is seeking a Sr. Splunk Engineer to provide services to our PRIME Federal Client in Washington , DC. Duties will include:Provides strategic support of Splunk integration and deployment, configuration and maintenance\nMust understand, interpret and develop content for SIEM products to meet internal and external customer requirements\nWill coordinate with other organizations (SOC/CSIRT) and assist with advanced issue resolution across the enterprise\nDesign, engineer, configure and administer Splunk content\nAssist in the proper operation and performance of Splunk, Loggers and connectors\nIntegration of data feeds (logs) into Splunk. Perform Content Development to properly identify data feeding SIEM’s and correlation of events. Develop filters to assist in the identification of significant events\nProvide recommendations and implement changes to optimize Splunk products in the customer environment\nWrite and develop custom scripts, programs as needed\n\nJob Requirements\n\nClearance: US Citizen - Clearable for Public Trust\nBS degree in a related scientific or engineering discipline from an accredited college or university and/or ten (10) to fourteen (14) years of progressive experience, or an MS degree in a related scientific or engineering discipline, and eight (8) to twelve (12) years of progressive experience, or a Ph.D. degree in a related scientific or engineering discipline and four (4) to seven (7) years of progressive experience. \n10 years overall IT experience\n5 or more years’ experience with design, configuration, and support of Splunk 6.x, or similar\nCertified Splunk Architect or Engineer\nAbility to perform basic scripting tasks with Splunk to automate repeatable processes using Python, Ruby, PowerShell, Perl, etc.\nAble to interact with customers and team members and product support personnel\nExperience with interpreting requirements and implementing Use-Cases\nStrong analytical and creative problem solving skills\nExperience writing MS SQL expressions\nGood writing and verbal communication skills\nIT Service Intelligence\nSyslog-NG\nDesired Qualifications:Bachelor’s Degree in Information Systems, Security, Engineering, or other related scientific or technical discipline.\nExperience developing enterprise strategic implementation of Splunk deployments.\nBasic understanding of Information Security with relevant work experience and/or relevant education/certifications.\nImplementation/support of ArcSight and/or Splunk\nCandidates should possess interpersonal skills and must be fluent in the English language\nIT Security and Information Technology Infrastructure Library (ITIL) Certifications are a plus\nIT Security certifications are a plus (CISSP, CISM, CISA, SANS, Security , etc.) \nBasic Python scripting skills is a plus.\n Essential FunctionsWork EnvironmentGeneral Office environment - The work environment is fast-paced and sometimes involves extreme deadline pressures. The nature of the work requires a high degree of teamwork and cooperation with other members of the staff as well as individuals across the Company and Customers. Physical RequirementsMost work will be done at a desk or computer. Must be able to lift 20 lbs. Equipment and MachinesGeneral office equipment including PC/laptop, Fax, Copiers, Shredder, Printers, Telephone, and other miscellaneous office equipment. AttendanceAttendance is critical at all times. Needs to be available to work overtime during critical peaks and be available to meet last minute requests for overtime should the situation occur. Other Essential FunctionsMust be able to communicate effectively both verbally and in writing. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. Must put forward a professional behavior that enhances productivity and promotes teamwork and cooperation. Must be able to interface with individuals at all levels of the organization both verbally and in writing. Must be well-organized with the ability to coordinate and prioritize multiple tasks simultaneously. Must work well under pressure to meet deadline requirements. Must be willing to travel as needed. Must take and pass a drug test and background check. Must be a US Citizen #cjpost*BCG* Clearance: US Citizen - Clearable for Public Trust\nBS degree in a related scientific or engineering discipline from an accredited college or university and/or ten (10) to fourteen (14) years of progressive experience, or an MS degree in a related scientific or engineering discipline, and eight (8) to twelve (12) years of progressive experience, or a Ph.D. degree in a related scientific or engineering discipline and four (4) to seven (7) years of progressive experience. \n10 years overall IT experience\n5 or more years’ experience with design, configuration, and support of Splunk 6.x, or similar\nCertified Splunk Architect or Engineer\nAbility to perform basic scripting tasks with Splunk to automate repeatable processes using Python, Ruby, PowerShell, Perl, etc.\nAble to interact with customers and team members and product support personnel\nExperience with interpreting requirements and implementing Use-Cases\nStrong analytical and creative problem solving skills\nExperience writing MS SQL expressions\nGood writing and verbal communication skills\nIT Service Intelligence\nSyslog-NG\nDesired Qualifications:Bachelor’s Degree in Information Systems, Security, Engineering, or other related scientific or technical discipline.\nExperience developing enterprise strategic implementation of Splunk deployments.\nBasic understanding of Information Security with relevant work experience and/or relevant education/certifications.\nImplementation/support of ArcSight and/or Splunk\nCandidates should possess interpersonal skills and must be fluent in the English language\nIT Security and Information Technology Infrastructure Library (ITIL) Certifications are a plus\nIT Security certifications are a plus (CISSP, CISM, CISA, SANS, Security , etc.) \nBasic Python scripting skills is a plus.\n Essential FunctionsWork EnvironmentGeneral Office environment - The work environment is fast-paced and sometimes involves extreme deadline pressures. The nature of the work requires a high degree of teamwork and cooperation with other members of the staff as well as individuals across the Company and Customers. Physical RequirementsMost work will be done at a desk or computer. Must be able to lift 20 lbs. Equipment and MachinesGeneral office equipment including PC/laptop, Fax, Copiers, Shredder, Printers, Telephone, and other miscellaneous office equipment. AttendanceAttendance is critical at all times. Needs to be available to work overtime during critical peaks and be available to meet last minute requests for overtime should the situation occur. Other Essential FunctionsMust be able to communicate effectively both verbally and in writing. Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others. Must put forward a professional behavior that enhances productivity and promotes teamwork and cooperation. Must be able to interface with individuals at all levels of the organization both verbally and in writing. Must be well-organized with the ability to coordinate and prioritize multiple tasks simultaneously. Must work well under pressure to meet deadline requirements. Must be willing to travel as needed. Must take and pass a drug test and background check. Must be a US Citizen #cjpost*BCG*
## 288 OverviewIf you want to make a positive difference and stand out from the crowd, you’ll fit in at The Standard (www.standard.com). Through our retirement plans and insurance products and services, we help people achieve financial well-being and peace of mind. Come join us and share our passion for serving our customers in a positively different way.\n\nAcceptance to a position in this job family constitutes participation in the Actuarial Student Program at The Standard. The mission of the Actuarial Student Program is to grow actuarial knowledge, business acumen and leadership skills in our Actuaries to enable the achievement of organizational goals. Actuarial students are expected to progress through the levels of the job family based on academic/exam achievements and by developing their analytical skills, independent decision making, and effective communication and leadership skills. \nResponsibilitiesPricing/Underwriting: Develop and maintain pricing for premium rates and fees. Analyze emerging profit as compared to pricing assumptions. Perform specialized pricing/underwriting for large cases or unique blocks of business. Set interest rate crediting policies and assumptions based on research and analysis. \n\nValuation: Calculate reserves and liabilities in accordance with regulatory requirements and applicable actuarial and accounting standards. Review and maintain actuarial assumptions relevant to area of practice (e.g. mortality, morbidity, valuation interest rates), adhering to actuarial and industry standards. Test the adequacy of reserves and formulate recommendations on reserve adequacy/methodology or liability funding requirements to management.\n \nActuarial/Experience Studies; Financial Modeling/Asset Liability Management (ALM)/Risk Management: Gather, analyze and develop strong understanding of profitability, growth, ALM requirements, risk, customer retention, and expense trends, utilizing company, industry and capital market data as necessary. Create and maintain models used in the analysis of ALM, risk management, income projection and regulatory requirements. Communicate findings to management and provide quantitative knowledge for business/investment/financial strategies. \n\nProduct Development: Collaborate with sales, marketing and other functional areas on the financial soundness and feasibility of new products. Research, design and implement new products or product enhancements. Analyze new product profitability to achieve corporate/division income and growth goals. \n\nFinancial Reporting/Regulatory: Prepare the actuarial portion of financial statements following GAAP, statutory or tax reporting principles. Analyze financial results of the corporation/division and identify drivers of earnings trends. Communicate financial information to management to assist and influence corporate/division financial strategies. Research complex regulatory issues, determine applicability to situation, and design effective methods to implement required procedures and communicate with affected parties.\n\nData Analysis/Information Systems: Extract, analyze and prepare data for use in actuarial modeling. Analyze, interpret and present numerical data related to pricing, reserves and other actuarial analysis. Run, maintain and understand actuarial software and applications. Design, implement and maintain open-source code applications for use in the analysis of financial risks. \n\nCross Collaboration: Communicate and collaborate with various departments across the organization to meet business needs. Using data and analysis, provide strategic guidance in influencing management decision making. \n\nActuarial Exams: Prepare for and pass actuarial exams and maintain continuing education requirements.\nQualificationsEducation/Experience: Bachelor’s degree in mathematics, actuarial science, business or a related field preferred. Six or more years experience in the actuarial field and FSA designation required. \n\nAnalytical Skills: Having broad actuarial, financial and industry expertise combined with unique product line knowledge, uses skills to contribute to the achievement of company goals. Works on significant and complex issues where analysis of situations requires evaluation of quantitative, qualitative, forward looking and organizational factors. \n\nIndependence: Acts independently to determine methods and procedures on new assignments. Significant role as a resource/mentor to others in the actuarial career. Viewed as a key resource to the division and providing leadership in their key areas of responsibilities. Strives to exceed customer needs. Thinks innovatively, brings ideas to life, and seeks continuous improvement. \n\nInfluence: Develops networks across the department/organization. Serves as a lead on key projects and initiatives. Exhibits effective communication and people skills in managing projects, working with stakeholders and resolving conflicts. Subject matter expert with the ability to negotiate and influence management decision making.\n\n\n\nStandard Insurance Company, The Standard Life Insurance Company of New York, Standard Retirement Services, Inc., StanCorp Equities, Inc. and StanCorp Investment Advisers, Inc., marketed as The Standard, are Affirmative Action/Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, national origin, gender, sexual orientation, age, disability, or veteran status or any other condition protected by federal, state or local law. The Standard offers a drug and alcohol free work environment where possession, manufacture, transfer, offer, use of or being impaired by an illegal substance while on Standard property, or in other cases which the company believes might affect operations, safety or reputation of the company is prohibited. The Standard requires a criminal background investigation, drug test, employment, education and licensing verification as a condition of employment. All employees of The Standard must be bondable.\n\nFor more information regarding your Equal Employment Opportunity applicant rights, click here.\n\nIndividuals with disabilities who need assistance or accommodation with the application process should contact HR Direct at 971-321-7871. This number is only for the use of individuals with disabilities who need accommodation with the application process. General inquiries about application status will not be addressed.
## 289 WESTLAKE WORLD | Westlake Financial Services is the largest privately held finance company in the Nation.We are committed to growing and strengthening our organization by hiring the people that make Westlake World (our culture) what it is. Through hiring the best fitting applicants and supporting our people by developing their talents, we transition our applicants into Westlake Warriors (our people).With 30% YOY growth and assets of 2.26 Billion, we are always looking to acquire talented individuals as we expand our presence in the Auto Finance Industry. Westlake Financial Services believes in PEOPLE with the PURPOSE and PASSION to assist our more than 22,000 dealer partners throughout North America.WESTLAKE WARRIOR | Financial AnalystPOSITION OVERVIEW:The primary responsibilities of the position require the employee to conduct analysis of the company’s financial statements and their components, and business processes.The candidate must be highly proficient in Excel and other Microsoft applications. Data mining will be an everyday task of the position. The position entails a great deal of ad hoc analysis and critical thinking, problem solving ability, flexibility, and adaptability are essential. The position is a great opportunity to work in a fast-paced environment and develop professionally as it involves critical tasks and exposure to key management. ESSENTIAL DUTIES AND RESPONSIBILITIES:The financial analyst will work directly with all of Westlake’s departments to control costs, forecast income, and improve key processes. Innovation and independent thought will be highly valued. Typical reporting duties do exist, including monthly forecasting, operating expense review, profitability reports and other regular duties. However, the role involves a high volume of ad hoc or as needed analysis to address the concerns and needs of each department and of upper management. These range from making recommendations on process improvements, to ascertaining profitability of a potential business move, to conducting valuation analysis, among other projects. Time management, follow up, business sense, and an ability to think simultaneously about relevant conceptual and empirical factors will ensure success in this role. Skills in financial planning and analysis and data analysis are recommended.Desired Skills and ExperienceESSENTIAL KNOWLEDGE, SKILL & LICENSES:Corporate experience prior to Westlake will be taken into consideration. \nKnowledge of financial planning and analysis highly desired\nProficiency in Excel will be required\nData mining training and experience is an added benefit and expected in the future. \nMicrosoft Access and various SQL platforms are used frequently in this role, and familiarity is desired, while proficiency is preferred.\nEDUCATION AND/OR EXPERIENCE:Bachelor’s Degree from accredited 4 year institution. \n1+ years of relevant experience in Corporate Finance or Accounting required\n MACHINES, OFFICE EQUIPMENT & SOFTWARE: Daybreak or other retail consumer servicing systems.\nWeb navigation and/or web-based applications.\nPersonal computer: Microsoft Word, Excel, and Outlook.\n10-key calculator and QWERTY keyboard skills.\nCopier, Faxing & other general office equipment.\nAutoIMS, Kelly Blue Book, NADA, ACV/CCC Software\nFULL TIME BENEFITSMedical, Dental, and Vision benefits\nLife Insurance, Flexible Spending Account\n401K matching\nEmployee Stock Ownership Program in a $2.6 Billion Company, plus company matching\nWellness Program, Daily Team Exercises, Fresh Fruit for all employees\nMetro Tap Card and Metro-link Reimbursement\nWestlake University, Certification Programs\nCareer Path Opportunities\nDiscounts on Parks, Museums, Movie Tickets, and Attractions\nWireless, Computer, and Satellite Discounts\nOnsite DMV\nEmployee Loan Assistance Westlake Bike Share (Free Bikes onsite)\nOnsite Yoga, Treadmill Desks, Gym Membership Discounts\nAnnual Flu Shots, Biometric Screenings\nPaid Vacations Days\nPaid Sick days\nPaid holidays\nHGym\nRental Car Discounts, Dell Member Purchase Program\nABOUT USPeople. Purpose. Passion.These are the hallmarks of Westlake Financial Services, and have been since our inception in 1988. Westlake specializes in prime to sub-prime automotive financing, helping car dealerships do what they do best: sell cars. Our unique credit approval software (known as \\u0022The Buy Program ©\\u0022) allows dealers to get an on-the-spot loan approval without waiting for callbacks, fax-backs, or rehashes.Westlake Financial Services is an Internet based, privately held finance company that specializes in the acquisition and servicing of sub-prime and non-prime automotive retail installment contracts. Headquartered in Southern California, Westlake originates indirect retail installment contracts through a network of 21,000 new and used car dealers throughout the United States. All collections and servicing are performed in-house from its central facility located in the Mid-Wilshire area of Los Angeles.Westlake's success didn't just happen overnight. It took years of hard work, cultivation, and smart intuition to get to where we are today. Not content to rest on our laurels, Westlake continues to build and refine, always keeping our dealers and customers in mind.CONTACT UShttps://www.westlakefinancial.com/careers/ACKNOWLEDGMENTSWe will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.We are an equal opportunity employer and do not unlawfully discriminate in employment. No question on this application is used for the purpose of limiting or excluding any applicant from consideration for employment on a basis prohibited by local, state, or federal law. Equal access to employment, services, and programs is available to all persons. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the organization.
## 290 \nLooking for someone with strong financial/technical background, experienced in data mining and creating financial models.This position is responsible for the financial analysis of the business performance of the company as well as profitability analysis by customer and/or product line. In conjunction with the analyses, this position will support continuous improvement efforts resulting from data analysis and development of the KPIs. This position will lead the annual budget preparation and will prepare financial and cash flow forecasts as required. This position will also assist with product and project/manufacturing service costing and analysis of capital asset investment requests and analysis of post investment performance. Responsibilities: 1. Provide financial reporting and organizational metrics. Analyze business operations, trends, costs, revenues, and profitability analysis by customer, operational resource and/or product line. 2. Prepare and review project/manufacturing service costing, product pricing, and margin analysis. 3. Lead and prepare the annual budget 4. Develop and prepare financial and/or cash flow forecasts as required. 5. Develop and prepare monthly reports that compare budget/forecast to the actual financial results. 6. Analyze operational trends and supports continuous improvement efforts. \nJob Requirements\n\nBachelor’s Degree in Finance / Accounting 5 years related experience in accounting and/or financial analysis. Experience in manufacturing.Strong computer skills - advanced Excel, and large ERP experience (SAP, Oracle, etc) \nStrong Financial Modeling skills needed
## 291 Job # 583893 Industrial Manufacturing Company is looking for: POSITION: Analyst – Financial Cost LOCATION: Just west of Irving Texas SALARY: $65-75K + Bonus DEGREE: Required EXPERIENCE: 2-3 Years Financial and Cost Analyst Experience RELOCATION: Assistance Available. Provide daily, weekly and monthly financial information to various departments, including Management, by assembling and summarizing data, preparing reports, presents findings, analyses and recommendations. Develop manage performance dashboards which serve to analyze financial results, monitor variances, identify trends and provide recommendations to cross functional Finance, Sales & Marketing leadership teams. These tools and templates include: Annual Operating Plan (AOP) Sales Presentation Materials via PowerPoint Sales Forecasts and CRM Pipelines Customer P&L’s Monthly Dashboards & Metrics Sales and Operations Planning (S&OP) Perform regular data analysis of financial information to identify variances and reasons for unexpected performance and effectively communicate recommendations regarding data sets. Work closely with the Information Technology department to actively manage the company’s sales and profitability database to ensure accuracy and timeliness of data availability. Work closely with Controller in developing product costing standards that incorporate activity-based costing assumptions as well as ensure that the Bill of Materials and Costs are accurate. Utilize company dashboard and Power BI intelligence tools to analyze company performance Engage in a wide variety of cross functional projects to assist in guiding responsible financial planning and assessment throughout the organization. Maintain collaborative partnerships throughout the organization and coordinate ongoing ad hoc and strategic financial initiatives. Provide input and provide recommendations to optimize policy, system and financial allocation decisions. Maintain detailed records documentation procedures and assumptions, methodologies and sources of information employed during the performance of all analytical tasks. Work to ensure quality professional product, as well as delivery of all work within established timeframes.
## 292 IQVIA is a leading independent provider of outcomes research, economic modeling, Real-World Evidence (RWE), and market access and value communications solutions leveraging IQVIA and other non-IQVIA proprietary data assets.Largest multi-disciplinary team of experts, based in 20 countries worldwide\nCredible scientific voice and deep therapy area knowledge, captured in over 3000 publications\nMarket leadership in developing and adapting robust economic models\nMost advanced capabilities in real-world evidence management and analysis\nProven expertise in generating and communicating real-world evidence to advance stakeholder engagement at all levels\nOur health economics and outcomes research (HEOR) team includes 250 highly qualified multi-disciplinary experts. They are based in 13 geographies (Belgium - Brussels, Germany - Munich, France - Paris, Spain - Barcelona, Switzerland - Basel, Italy – Milan, Sweden – Stockholm, Denmark – Copenhagen, Netherlands, US, Canada, Mexico, Singapore) and have delivered projects in over 50 countries.\nPosition DescriptionThe HEOR practice is looking for a talented Consultant to help develop, design, and deliver health economic modeling projects. Consultants work with Analysts, Engagement Managers and Principals on each project. Occasional travel may be required. Responsibilities include:\nDesign of modeling studies to quantify clinical and/or economic impacts of healthcare technologies or interventions\nHelp develop compelling proposals for new projects\nContribute to development of project deliverables, including models, reports, abstracts, manuscripts, and slide decks, as appropriate\nProvide coaching and direction to more junior HEOR professionals assigned to engagement(s), especially regarding decision modeling and excel modeling technical expertise\nConsultants work across clients, therapy areas and projects, ensuring a cohesive professional environment and a deep and thorough understanding at all levels of the broad discipline of HEOR. In addition, Consultants will experience the following:Flexible and diverse work environment with a multidisciplinary team of researchers/consultants with backgrounds in medicine, pharmacy, health economics, health policy, health services research, outcomes research, pricing and market access\nOpportunity to engage in Center of Excellence to promote global best practices, collaboration and thought leadership in core offerings\nFormal and informal training opportunities in leading client engagements, statistical analyses, economic modeling, and scientific communications\nA dedicated development coach and mentor to advise on career goals and personal objectives\nQualificationsThe ideal candidate MUST have:Knowledge of health economic modeling techniques, including decision analysis\nGood interpersonal and communication skills in team environment\nAcademic or work experience in a related area such as economics, health economics, statistics, engineering, or science\nStrong organizational skills and proven ability to manage personal responsibilities on multiple priorities and/or projects at once\nThe successful candidate should also have:Graduate degree in relevant scientific or technical field (e.g., Medical Doctor, Pharmacy, Statistics, Economics, Mathematics, Engineering, Health Policy)\nAt least 2-3 years experience in applied research or consulting environment\nProven ability to write and publish for medical or scientific audiences\nExpert-level proficiency in Microsoft Excel (including Visual Basic)\nCommand of Microsoft Office, TreeAge, statistical software (e.g. SAS or STATA)\n#LI-LG1Job ID: R999006
## 293 Kelly Services is currently seeking a Project Statistician in Cambridge, MA to work a contract assignment 6 month duration for one of our top clients. Kelly is a full service workforce solutions provider to 98% of the Fortune 100™ companies. We provide employment to more than 700,000 people annually and we deal with some of the largest and best companies both nationally and locally. Responsibility Represent the statistics function in support of Oncology TAU related activities. Provide statistical input to feasibility assessments, development and submission plans, and in support of regulatory submissions. Provide statistical support with minimal supervision in the development and review of the statistical analysis plan, study report, and other analytical documents, ensuring accurate and statistically valid deliverables. Implement project level database including derived database , analysis and reporting standards. Provide suggestions to achieve high quality databases and specifications by working with Data Management and Programming at project level. Plan and direct study-level analysis and reporting activities eg, tables, listings, graphs including review of work by programmers. Identify study-level vendor requirements and participate in the evaluation/selection of analytical vendors. Provide technical oversight of statistical activities of external vendors to ensure timeliness and quality of analysis data and statistical outputs. Review and approve key statistical vendor deliverables. Anticipate and communicate study level resource and quality issues that may impact deliverables or timelines. Propose and implement solutions. Escalate issues to management as appropriate. Consider and evaluate alternative analysis methodology and data presentation techniques.EDUCATION, EXPERIENCE AND SKILLS: Generally requires PhD in statistics or biostatistics with at least 4 years of relevant experience or MS in statistics or biostatistics with at least 6 years of relevant experience. For statisticians with exceptional talent who have demonstrated core capabilities of a Principal Statistician, 3 years of pharmaceutical industry experiences with a PhD in statistics or biostatistics may be considered. Experience with advanced study design or at least one NDA/CTDs or other global regulatory submissions. Advanced knowledge of clinical study designs, common analysis methods, descriptive and inferential statistics. Advanced knowledge of the pharmaceutical industry including understanding of clinical drug development process and associated documents. Extensive knowledge of FDA and ICH regulations and industry standards applicable to the design, analysis of clinical trials and regulatory submissions. Good knowledge of statistical programming languages including SAS , software, techniques, and processes. Working knowledge of UNIX operating systems, and common software products and technologies used in conjunction with SAS e.g., Microsoft Office products . Excellent oral and written communications skills. Strong project management skills. Strong collaborative skills and ability to work with a cross-functional team.APPLY NOW!For immediate consideration:Call 732-246-0215\nEmail [Click Here to Email Your Resumé]\n\nWhy Kelly®?\nWith Kelly, you’ll have access to some of the world’s highest-regarded scientific organizations—\nproviding you with opportunities to work on today’s most challenging, research-intensive, and relevant\nprojects. Our connections can lead you to innovative scientific pursuits you’ll be proud to help\nadvance. We work with 95 of the Fortune 100™ companies, and found opportunities for more than 9,000\nscientific professionals last year.\nYou pursued a career in science to fuel your quest for knowledge and your desire to make the world\na better place. Let Kelly fuel your career—connect with us today.\nAbout\nKelly Services®\nAs a workforce advocate for over 70 years, we are proud to directly employ nearly 500,000 people around the world and have a role in connecting thousands more with work through our global network of talent suppliers and partners. Revenue in 2017 was $5.4 billion. Visit kellyservices.com and connect\nwith us on Facebook, LinkedIn and Twitter.\nKelly Services is an equal opportunity employer including, but not limited to, Minorities, Females,\nIndividuals with Disabilities, Protected Veterans, Sexual Orientation, Gender Identity and is\ncommitted to employing a diverse workforce. Equal Employment Opportunity\nis The Law.
## 294 Senior Financial Analyst\n\nImmediate need for a Direct Hire Senior Financial Analyst with a reputable financial institution in San Antonio. This is an exciting opportunity to work directly supporting upper management through ad hoc analysis and reporting, budgeting, profitability analysis, forecasts, and modeling. This is a rare opportunity available within a group that has historically stable tenure.\n\nWhat are the perks of the Senior Financial Analyst role?\nOpen door policy, do not have to move through change of command\nThe organization empowers employees to make change and have a voice, especially with process improvements\nFamily oriented with a fun and laid-back culture.\nGreat tenure within the group\nGreat benefits and time off policy\n\n \n\nWhat will the Senior Financial Analyst do?\nProvide analytical support and reporting to executive team using SAS\nAd Hoc financial reporting and analysis to support management\nPresentation of financials along with recommendations for process improvement to upper management\nEstablish and maintain forecasting tools, dashboards, and reporting platform which provides transparency of the business.\nThis includes pipeline, production and risk trends all using SAS EG and BI\nDesign and construct database objects, including IL and CC data warehouses and schema data models using SAS EG, Cube Studio, Information Map Studio and BI\nDevelop and analyze financial reports, statistical models and operational data trends using SAS\nExtract data from banking systems for analysis within external databases for use by management and for reporting purposes\nResearch and resolve issues regarding the integrity of data flow from core systems into databases using SAS\nDevelop annual budgets for the bank, presented budget assumptions and forecasting strategies to board and continuously monitored financial standing\nHandle asset liability management reports using Profitstar including interest rate risk, economic value of equity, maturity gap analysis, etc.\nFinancial and legal research, contract review, loan pool creation in SAS and profit/loss analysis\n\nJob Requirements\n\nKnowledge, Skills, and Abilities needed for the Senior Financial Analyst:\nAdvanced Excel, SQL and/or SAS.\nStrong analytical skills and ability to manage multiple projects simultaneously\nKnowledge of data analysis/reporting tools and techniques.\nEducation and Experience needed for the Senior Financial Analyst:\nBachelor’s degree in accounting or finance. Master’s Degree preferred.\n4 years financial/accounting analysis or finance/accounting work experience.\nExperience as a financial analyst in financial services industry a plus.\nSAS, Crystal Reports
## 295 Job Title: Performance AnalystLocation: Boston, MADuration: 3 + month contract w/ possible FTEOverview:Manulife Asset Management: Opportunity to enhance and advance your analytical knowledge and skills in the global investment performance and analytics arena. Expand and develop leadership, supervisory, collaboration and communication with focus on investment analytics.About the Position:The role has a diverse set of responsibilities, challenges, processes and stakeholders. The position will have responsibility for all aspects of performance, attribution and analytics reporting - including account, product, and benchmark data. The primary focus is fixed income while being part of a global team supporting all investment types.This integral role requires an individual who is self-motivated, detail oriented and accountable; one who is self- reliant but adept at collaborating with multiple teams. The ideal candidate will leverage technical expertise (analytical and organizational) to help advance the team forward. Opportunities are presented both within the team and beyond with systems implementations, process reengineer, investment analytics and attribution, product development and stakeholder relationships.As part of the Global Performance & Analytics team, the position will require an organized and results-oriented individual to drive the process in a dynamic, growing organization. This position will have responsibility for all aspects of performance measurement and attribution reporting – focusing on attribution and data analytics.The role requires a strong background in investment performance & analytics, including attribution, security and portfolio characteristics, competitor/peer analysis, a broad knowledge of financial markets and complex investment strategies. Industry designations such as CFA, CAIA, FRM, and CIPM are aligned with the job profile. Knowledge of front office reporting along with BI and data visualization concepts and software is preferred.\n \nTCM is an EEO/Vets/Disabled Employer.\n\n\nJob Requirements\n\nResponsibilities:• Act as subject matter expert on Fixed Income Attribution and work with team to improve reporting data quality• Respond to ad hoc requests and create value added analysis for investment distribution teams• Provide technical expertise with regard to performance measurement and attribution• Requires strong knowledge and understand of both equity and fixed income performance calculations and attribution• Ensure timeliness and accuracy of client reporting• Partner with operations groups to monitor controls and support valuation process• Manage tools required in reporting process such as; Barclay's Point, Excel, and Bloomberg PORT• Strong customer service focus and orientation• Must be detail oriented and be able to work in a fast paced daily production environment• Support the information needs of sales, marketing, compliance and other users of performance - includes defining, developing and producing performance and analytical reporting that supports needs• Must have strong communication skills; both written and oral• Assist in and provide support in new product development efforts• Act as backup for other team members• Participate and/or lead projects as assigned• Must be a collaborative and innovative team player\n
## 296 Employee Perks Why You Will Love Being Part of the Navy Federal Team:*Competitive compensation with opportunities for annual raises, promotions, and bonus potential*Best-in-Class Benefits! (7% 401k match / Pension plan / Tuition reimbursement / Great insurance options)*On-site amenities include fitness center, wellness center, cafeteria, etc. at Pensacola, FL; Vienna, VA and Winchester, VA campuses*Consistently Awarded Top Workplace*Nationally recognized training department by TRAINING Magazine IND123*An employee-focused, diverse, and service-oriented workplace environmentBasic Purpose To participate in the development of predictive modeling, data-mining, and advanced statistical marketing analytics for assigned internal clients to enable better understanding of member needs, behaviors, and engagement. Serve as lead Analyst on portions of larger scope modeling projects under minimal supervision and may assist lower level Analysts with projects. Assist with formulating strategies around member targeting, product and service acquisition, cross-selling and retention for more effective marketing. Provide input, clarification and insight to mid and executive-level management across the company with answers to business questions and information to assist with member-centric decision making.Responsibilities:* Collaborate with internal business partners across divisions to integrate analytical tools and solutions into direct marketing, lead generation campaigns/initiatives, and agent/member systems* Develop and refine member segmentation models to help focus corporate and divisional activities supporting corporate growth, retention, member experience and long term profitability* Develop and test multiple hypotheses using results from analyses to generate and answer new questions leading to more in-depth understanding of business issue(s) being studied* Evaluate/develop/implement analytical techniques and best practices to gain a competitive advantage* Forecast initiatives to project strategic plan goals and assess current performance* Identify potential issues that arise during the course of research projects and escalate and communicate these to management and internal clients for awareness\\action\\resolution* Identify, recommend and manage external suppliers/vendors assisting on analytical research projects, ensure projects meet departmental quality standards, research objectives, and delivered on time* Lead ad hoc analysis of corporate-wide business problems of various scope and complexity* Lead development of predictive modeling projects using data mining techniques for estimating current and future member engagement, prospecting new members, cross-selling to existing members (response models), and identifying members likely to leave* Make presentations of status, completion and results of studies to non-technical audience of various levels* Manage multiple research projects under tight deadlines; ensure research projects are completed on time and meet internal client expectations* Monitor performance of scored models; recommend/implement changes to improve performance* Perform full cycle model design and development which includes but is not limited to identifying objectives, sampling, testing/validation, calibration, and monitoring performance* Proactively work with internal clients and other business areas to create project plans with clear objectives, detailed tasks, accountabilities, timelines, and estimated budgets/corporate impact* Produce actionable insights from research projects that are effectively communicated* Perform other duties as assignedQualifications – All required unless otherwise noted:* Bachelor's Degree in Statistics, Mathematics, Marketing, Economics, Engineering or the equivalent combination of training, education, and experience* Experience in an informal mentoring, and/or leadership role* Experience in managing multiple priorities independently and/or in a team environment to achieve goals* Experience in statistical software (e.g., SPSS Modeler and/or SAS) to manage large data sets* Experience in using more than two of the following statistical methods to solve business problems: linear and logistic regression, neural networks, decision trees, experimental design, time-series and forecasting, K-means clustering, association rules, RFM, survival analysis* Advanced knowledge of thought leadership in providing vision and strategic thinking around a full range of technical decisions and issues* Advanced skill exercising initiative and using good judgment to make sound decisions* Advanced skill interpreting, extrapolating and interpolating data for statistical research and modeling* Advanced skill to influence, negotiate and persuade to reach agreeable exchange and positive outcomes* Advanced skill using innovative thinking to solve problems and facilitate the decision-making process* Desired - Master's Degree in Statistics, Mathematics, Marketing, Economics, Engineering or the equivalent combination of training, education, and experience* Desired - Experience in as a research analyst and/or predictive modeler demonstrating strong mass data mining and statistical expertiseHours:Monday- Friday, 8:00am- 4:30pmEqual Employment Opportunity Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability
## 297 Senior Financial Analyst Location: Tulsa, OK Salary Range: $75,000 - $110,000 The Rowland Group has partnered with an established Tulsa Energy Company that is in search of a Sr. Financial Analyst to join their team. The chosen individual will work with others who excel in their areas of expertise and gain great exposure across different divisions of the organization! Responsibilities: Prepare financial and operational forecasting models to analyze various ratios/data to help improve the decisions made regarding the company's business Review monthly variances and prepare explanations describing the reasons surrounding the variances Help pull together forecasting information and data analysis for management reporting and board packets Gather information and provide analysis for dividends and distribution forecasting Help determine appropriate methods for corporate expense allocations to the various departments/business units Requirements: 5+ years’ experience Bachelor's degree in Finance, accounting or related field CPA and/or CMA preferred Experience with Excel and PowerPoint Hyperion a plus Strong analytical and problem solving skill Experience with financial/data modeling/forecasting skills Ability to work in a fast-paced, changing environment Team player with effective communications skills; Works well with others at all levels The Rowland Group is an Equal Opportunity Employer. M/F/Disability/Vet
## 298 RESPONSIBILITIES:Kforce has a client in search of a Financial Analyst in Newark, Delaware (DE).Summary:The Company Funds Transfer Review Team is responsible for performing outbound calls to company clients for the purposes of authenticating and confirming funds transfer instructions. The group works in a team-oriented environment supporting company branch personnel with their clients' funds transfer requests. The team is responsible for adhering to REG E requirements and company policies. Other administrative functions are also supported, including but not limited to the confirmation of recurring payments, callback waivers, delegation memos, etc.The ideal candidate will be passionate about service and will effectively use communication and relationship management skills to ensure an exceptional level to both company clients as well as Company Financial Advisors/Client Associates.Essential Functions: Responsible for monitoring money transfer queue and performing outbound client calls for verification/confirmation\n Manage daily email and phone inquiries accurately, within established deadlines and in accordance with firm and business policies and procedures, as well as applicable FINRA and other federal regulations\n Provide high quality, high touch service to company Financial Advisors/Client Associates; Coordinate and follow through on FA/CA requests\n Research, follow-up and resolve inquiries and issues through effective interaction with advisors, client associates, product partners, branch/operations teams and other staff in a timely and professional manner\n Includes the analytical skills in one or more of the following: Financial Analysis: Applies principles of finance to analyze and prepare financial operations/statements, Data Analysis - Maintains accurate records in database, Generates reports and analyze\n\nJob Requirements\n\nREQUIREMENTS: College degree or equivalent Financial Services/Banking industry experience preferred\n Client service experience preferred\n Experience with a wide range of investment products preferred\n Ability to work effectively as a member of a team\n Excellent communication skills, both written and oral\n Ability to multi-task and manage priorities effectively\n Ability to adapt to a rapidly changing business and technology environment\n Exceptional problem-solving skills\n Proficiency with Microsoft Office Suite (Word, Excel and PowerPoint), general comfort level with Internet/Intranet usage and ability to learn proprietary software and databases\nKforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status
## 299 We are a full service, outdoor lifestyle products manufacturing company based in Bingham Farms, MI. We make outdoor replacement cushions, patio furniture, planters, tables and other accessories, but our core is cushions. \n To be successful in our company, you must have a killer work ethic, a decent sense of humor, and it’s helpful if you can get really, really passionate about cushions (yes, it’s possible)!\n To be successful in our Finance department, you must have a killer work ethic, a decent sense of humor, and be really, really passionate about finance/accounting and all the little details. (and cushions too!)\n\nOur team is growing! Are you looking to grow too? Seeking detail loving, finance/accounting professional to join our all-star team. If you're quick, accurate and love a challenge our rotational financial analyst role might be for you!\nOur ideal candidate should: \nLove DETAILS and ticking and tying data - accuracy is critical!\nLove solving puzzles\nLove finding the root cause of a problem and the desire to fix\nSeek out stretch assignments\nApproach people with a customer service mindset, we work in a very collaborative environment - no hiding behind emails!\nThe work: \nRotational analyst roll will cycle through core finance and accounting roles including but not limited to; AP, AR, and Payroll\nOwn the functions of the rotation as assigned\nMonthly/quarterly/annual reporting\nSpecial projects too!\n \nGrowth opportunity\nPassion and skill will help us narrow in on your specialty, we like to promote from within!\n\nJob Requirements\n\nRequired qualifications:\nBachelor's degree in Finance, Accounting or a closely related field such as actuarial science, data science, mathematics\nOrganization skills a must\nPassion for the functions outlined in "the work" section above\nKnowledge of general accounting procedures, US GAAP\nProficiency in Excel required – v lookups, pivots, macros are a plus\nQualifications strongly preferred:\nEntry level role, but internship experience in a professional work environment is preferred\nDesire to work in a Finance, Accounting, Auditing, or Cost Account role and build a career\nExperience working in SAP (classroom training counts!)\nExperience performing all functions outlined in "the work" section\nInner drive - being self-motivated is critical\n Arden Companies is an equal opportunity employer. Candidates must be eligible to work in the U.S. on a permanent basis. Arden Companies participates in the Department of Homeland Security’s E-Verify Program to verify the employment eligibility of all newly hired employees. \n\n
## 300 The Senior Financial Analyst within the Financial Planning and Analysis (FP&A) department of TEGNA will support budgeting analysis for both operational expenses as well as capital expenses. This will include tracking of vendor costs, project initiatives, and fixed assets. This position will work closely with the Corporate Finance and Technology departments.Responsibilities:The Senior Financial Analyst performs moderate to complex finance tasks working under general supervision with latitude for the use of initiative and independent judgment. This role exercises judgment in selecting methods, techniques and evaluation criteria, and networks with a wide variety of individuals at all levels of the organization to achieve results.\nProvide analytical decision support across finance functions highly concentrated in technology costs, including financial modeling and ad hoc analysis related to special projects to drive understanding of business performance and management decision making.\nAssist in process improvement including improved utilization of resources, information management, knowledge sharing, and tools used across the Company.\nDevelop business cases and model potential outcomes to test returns on investment.\nTrack efficiencies and/or returns on investments of approved projects for accountability.\nDevelop tracking and cost allocations across 40+ operating units.\nConsolidate data across 40+ operating units.\nAnalytical support for project initiatives.\nAd hoc analysis needed for management in key decision roles.\nRequirements:Bachelor's degree required in Finance or Accounting or related discipline; MBA a plus\n4-6+ years of finance/accounting experience; within a broadcast company or technology department a plus\nExcellent data analysis skills, including MS Excel pivot tables and VLOOKUP functions\nProficient MS Office skills, as well as confidence in using new function specific resources\nStrong analytical and communication skills, both verbal and written; ability to effectively communicate to all levels of management\nHighly organized. Ability to manage multiple priorities to successfully meet established timelines\nAbility to effectively interpret and simplify complex financial data and strategies in order to present polished accurate summary information - including data visualization skills\nWorks well independently and in teams\nAbout TEGNA: TEGNA Inc. (NYSE: TGNA) is an innovative media company that serves the greater good of our communities. With 47 television stations and two radio stations in 39 markets, TEGNA delivers relevant content and information to consumers across platforms. It is the largest owner of top 4 affiliates in the top 25 markets, reaching approximately one-third of all television households nationwide. Each month, TEGNA reaches 50 million adults on-air and approximately 30 million across its digital platforms. TEGNA has been consistently honored with the industry's top awards, including Edward R. Murrow, George Polk, Alfred I. DuPont and Emmy Awards. TEGNA also delivers innovative and unparalleled solutions for advertisers through TEGNA Marketing Solutions (TMS). TMS is a one-stop shop that helps businesses thrive through an unmatched suite of services and solutions that reach consumers across television, email, social and over-the-top (OTT) platforms, including Premion, TEGNA's OTT advertising service. Across platforms, TEGNA tells empowering stories, conducts impactful investigations and delivers innovative marketing solutions. For more information, visit www.TEGNA.com.TEGNA Inc. is a proud equal opportunity employer. We are a drug free, EEO employer committed to a diverse workforce. We encourage and consider all qualified candidates regardless of race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity, family responsibilities, disability, enrollment in college or vocational school, political affiliation, veteran status or genetic information.#LI-CW1write.csv(jobdf, file = "careerbuilder.csv")