Data Science Skills

Data Acquisition

Data loading

In this stage, the original dataframe will be loaded into the environment in order to start the cleaning process.

indeed_dt <- read.csv("indeed_job_dataset.csv", stringsAsFactors = F)
# clean up header
names(indeed_dt) <- tolower(names(indeed_dt))

Original Dataset Display

Dimensions:

dim(indeed_dt)

## [1] 5715   43

Display of the first 50 rows from the data.

x	job_title	link	queried_salary	job_type	skill	no_of_skills	company	no_of_reviews	no_of_stars	date_since_posted	description	location	company_revenue	company_employees	company_industry	python	sql	machine.learning	r	hadoop	tableau	sas	spark	java	others	ca	ny	va	tx	ma	il	wa	md	dc	nc	other_states	consulting.and.business.services	internet.and.software	banks.and.financial.services	health.care	other_industries
0	Data Scientist	https://www.indeed.com/rc/clk?jk=6a105f495c36afe3&fccid=281a27deb89bbe92&vjs=3	<80000	data_scientist	[‘SAP’, ‘SQL’]	2	Express Scripts	3301	3.3	1	[<p><b>POSITION SUMMARY</b></p>, <p> The Business Analyst role is the primary architect of reporting and dashboard solutions for internal and external clients. Utilizing ESI corporate standard development tools this position is responsible for the design, development, implementation, analysis, interpretation and communication of business information based on the needs of individual clients. The ability to balance overall aesthetics with robust and intuitive functionality is a critical requirement for success in this position.</p>, <p><b> ESSENTIAL FUNCTIONS</b></p>, <ul><li> Successfully design and implement external client data reporting and dashboard solutions with a strong focus on product aesthetics and functionality.</li><li> Aid in the design, development, and implementation of new product ideas for external and internal clients.</li><li> Maintain Live and Data Warehouse Business Objects Universes; add new fields, modify table joins, implement data structures that streamline report extraction and data analysis.</li><li> Develop and document best practices for all points throughout the design and implementation process.</li><li> Coordinate and interface with Account Management and Implementation teams to gather product design requirements and provide insight into capabilities and solutions.</li><li> Research and present new software and technology solutions to other internal developers, as well as management, to allow for the evaluation and potential integration of new development tools.</li></ul>, <p><b>QUALIFICATIONS</b></p>, <ul><li><p> Bachelor’s degree in related field or 8 to 11 years of experience.</p></li><li> 2-5 years relevant experience with Bachelor’s Degree or Master’s degree and 0-3 years of relevant experience.</li><li> Recent experience creating Business Objects XI reports.</li><li> Designing data visualization applications using SAP Xcelsius 2008 software.</li><li> Designing, implementing and maintaining data universe structures using Business Objects Universe Designer.</li><li> SQL, AS400, Adobe Flex, Flash experience preferred.</li><li> Creative problem solver.</li><li> Fundamental commitment to creating customer value through technical innovation.<br/> </li></ul>, <p> Bachelor’s degree in related field or 8 to 11 years of experience.</p>, <p><b> ABOUT THE DEPARTMENT</b></p>, <p><b> ABOUT EXPRESS SCRIPTS</b></p>, <p> Advance your career with the company that makes it easier for people to choose better health.</p>, <p> Express Scripts is a leading healthcare company serving tens of millions of consumers. We are looking for individuals who are passionate, creative and committed to creating systems and service solutions that promote better health outcomes. Join the company that Fortune magazine ranked as one of the “Most Admired Companies” in the pharmacy category. Then, use your intelligence, creativity, integrity and hard work to help us enhance our products and services. We offer a highly competitive base salary and a comprehensive benefits program, including medical, prescription drug, dental, vision, 401(k) with company match, life insurance, paid time off, tuition assistance and an employee stock purchase plan.</p>, <p> Express Scripts is an equal opportunity employer/disability/veteran</p>]	MO	More than $10B (USD)	10,000+	Health Care	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0
1	Data Scientist	https://www.indeed.com/rc/clk?jk=86afd561ea8c60bc&fccid=b584cf601069b5d0&vjs=3	<80000	data_scientist	[‘Machine Learning’, ‘R’, ‘SAS’, ‘SQL’, ‘Python’]	5	Money Mart Financial Services	NA	NA	15	[<p><b>What do we need?</b></p>, <ul><li> You to have an amazing personality and communication style.</li><li> That you are super-organized and are a problem solver.</li><li> That you take pride in everything that you do, and it shows.</li><li> And most importantly that you have unquestionable integrity.</li></ul>, <p><br/> <b> Why work for us?</b></p>, <ul><li> We invest in our employees, and offer extensive training, and development programs to set you up for future success.</li></ul>, <p><br/> If we sound like a fit, and you’re ready to start an exciting career with an organization that fosters employee growth, apply today!<br/> <br/> <b>Job Description</b><br/> This position will be responsible for:</p>, <ul><li> Develop marketing, credit risk models, segmentation, and risk analytics</li><li> Perform all required tests and measures of developed models</li><li> Deliver comprehensive model documentation (e.g., Model Development Document, Technical Specification Document) of modeling projects</li><li> Understand and follow modeling procedures, credit policies, and deliver technical/regulatory documentation for internal/external reviews</li><li> Communicate technical information verbally and in writing to both technical and non-technical audiences</li></ul>, <p><b>Education</b></p>, <ul><li> Advanced Degree (Masters or PhD preferred) in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, Quantitative Finance. MBAs should apply only if they are interested in career in specialized quantitative risk management discipline</li></ul>, <p><br/> <b> Experience </b></p>, <ul><li>Entry level position. Any experience in statistical modeling fields is preferred</li></ul>, <p><br/> <b> Skills</b></p>, <ul><li> Very strong knowledge of statistics methods and machine learning techniques</li><li> Strong numerical programming ability using a range of languages (SAS, R, Python); working experience with SQL</li><li> Detail-oriented with high degree of accuracy</li><li> Strong analytical, problem-solving and critical-thinking skills</li><li> Excellent verbal and written communication skills</li></ul>, <p><b>Benefits</b></p>, <ul><li> Medical / Dental/ Vision benefits available after 30 days of employment</li><li> Company paid life insurance</li><li> Paid holidays</li><li> PTO/ 401K / Tuition Reimbursement</li></ul>, <p> All your information will be kept confidential according to EEO guidelines.</p>]	TX				1	1	1	1	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0
2	Data Scientist	https://www.indeed.com/rc/clk?jk=e0aad317e6d45d9b&fccid=b39fb6f124ce8586&vjs=3	<80000	data_scientist	[‘Data Mining’, ‘Data Management’, ‘R’, ‘SAS’, ‘SQL’, ‘STATA’, ‘SPSS’, ‘Data Analysis’, ‘Python’]	9	comScore	62	3.5	1	[<ul><li>Validate, analyze, and conduct statistical analysis on data using analytical software (Excel, SQL, and SAS).</li><li>Analyze and define efficient, workable solutions that support client business processes and functional requirements for research projects.</li></ul>, <ul><li>Extract qualitative findings from large data sets.</li><li>Write reports that include effective graphs, tables, summaries, and narratives.</li><li>Develop and execute test cases to ensure data requirements have been met.</li><li>Research and resolve client-reported issues.</li><li>Interpret results, present findings, and recommend alternative solutions to research management and business decision makers.</li><li>Track daily industry news and disseminate relevant articles to management and team</li></ul>, <ul><li>Bachelor Degree in Statistics, Decision Sciences, Economics, Physics, Mathematics, or similar field required.</li></ul>, <ul><li>2 years of experience in the analytical field</li><li>Experience with SQL, Python or other programming language</li><li>Highly competent in data manipulation and critical thinking.</li><li>Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities. Knowledge of data mining and software applications.</li><li>Ability to distill large amounts of information into key findings.</li><li>Ability to clearly articulate research in written and verbal presentations with software developers, clients, management, and sales staff.</li><li>Data management experience with one or more data analysis packages (e.g. SPSS, SAS, STATA, R) required.</li><li>Experience with Excel, including pivot tables, formulae, VLOOKUPs, and graphing</li><li>Strong organizational skills including the ability to multi-task and prioritize efficiently to meet deadlines.</li><li>Strong attention to detail and problem-solving skills.</li><li>Self-motivated, takes initiative, loves to learn, and continuously seeks new knowledge.</li><li>Strong documentation skills from both a business and technology perspective.</li><li>Effective troubleshooting and investigation skills to identify root cause of problems.</li><li>Proven ability to manage and perform multiple tasks under conditions of fluctuating workloads, competing requirements, and changing deadlines while maintaining accuracy; working independently and completing assignments with minimal direction.</li><li>Self-starter who is self-motivated, efficient, responsible, and dependable.</li><li>Experience in the television/media research industry is a plus.</li></ul>, <ul><li>LI-JZ1</li></ul>, <ul><li>MSJA</li></ul>]	OR				1	1	0	1	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
3	Graduate Studies Program - Data Scientist	https://www.indeed.com/rc/clk?jk=1cfdd9e391a6328a&fccid=e9870e3159e9c6ac&vjs=3	<80000	data_scientist	[‘Certified Internal Auditor’]	1	Central Intelligence Agency	158	4.3	30	[<p>Full time</p>, <p>Washington, DC metro area</p>, <p>Starting salary: $56,698 - $76,377 ($27.17 - $36.60 per hour) </p>, <p>US citizenship required (dual national US citizens are eligible)</p>, <p>Description</p>, <p>Qualifications</p>, <p>How to Apply</p>, <p>As a Data Scientist Graduate Intern for the CIA, you will work side-by-side with other Data Scientists to organize and interpret data to inform US decision makers, drive successful operations, and shape technology and resource investments. Through CIA’s global mission, the Agency has access to unique and highly specialized data. You will work with advanced hardware, software, and techniques to develop computational algorithms and statistical methods to identify patterns and relationships in large volumes of data. Data Scientists clearly communicate their conclusions to a diverse audience and develop technical expertise via hands-on experience and continuous learning, including Agency-sponsored training, academic conferences, and other professional development activities.</p>, <p> The Graduate Studies Program allows you and the Agency to assess opportunities for permanent employment following your completion of Graduate school.</p>, <p>The Directorate of Digital Innovation (DDI) is at the forefront of defining the future of digital expertise within the CIA. DDI focuses on developing the workforce with cutting-edge skills, investing in IT infrastructure, and modernizing the way the Agency does business. DDI officers help accelerate the integration of innovative methods and tools to enhance the CIA’s cyber and digital capabilities on a global scale and ultimately help safeguard our nation. Learn more about the Directorate of Digital Innovation.</p>, <p>Click to watch the video on a separate page.</p>, <p>In addition to a comprehensive benefits package, the CIA offers exciting career opportunities and a dynamic environment. We’re on the forefront of world-altering events – as they happen. So working here isn’t just a job, it’s a mindset and a lifestyle.</p>]	DC			Government	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	1
4	Data Scientist I	https://www.indeed.com/rc/clk?jk=fec647775a21ecc6&fccid=2c6850e24c8a2811&vjs=3	<80000	data_scientist	[‘Statistical Software’, ‘Time Management’, ‘R’, ‘Microsoft Office’, ‘Excel’, ‘Tableau’, ‘Data Science’]	7	Federal Reserve Bank of Dallas	495	4.1	30	[<ul><li>Assist in consultations with business partners and internal/external HR functional experts to develop and maintain HR dashboards, models and metrics.</li><li>Research national best practices for HR data analytics to make recommendations for our district.</li><li>Develop queries, validate and export data in various formats for HR dashboards/metrics, automating the delivery where possible.</li><li>Perform quantitative and qualitative data analysis to produce reports, assessments and proposals that will help organizational leaders make informed and data driven business decisions.</li><li>Maintain an up to date perspective of tools, practices, industry standards, national trends and System standards.</li></ul>, <ul><li><b><i>Customer Focus -</i></b> Building strong customer relationships and delivering customer-centric solutions</li><li><b><i>Collaborates -</i></b> Building partnerships and working collaboratively with others to meet shared objectives</li><li><b><i>Tech Savvy -</i></b> Utilizes market pricing and analytical tools available while continually seeking out emerging technologies</li><li><b><i>Persuades -</i></b> Uses compelling arguments to gain the support and commitment of others</li><li><b><i>Communicates Effectively -</i></b> Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li><b><i>Action Oriented -</i></b> Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li><b><i>Resourcefulness -</i></b> Secures and deploys resources effectively and efficiently</li></ul>, <ul><li>Bachelor’s degree in business, economics, mathematics, statistics or other related field of study</li><li>Experience using statistical software and data visualization tools</li><li>Microsoft Office suite, specifically MS Excel, experience required</li><li>Skilled using technology tools and digital platforms including R, Tableau and Human Capital Management (HCM) platforms</li><li>Excellent time management skills including multi-tasking, managing deadlines and providing project oversight</li><li>Excellent written, verbal and listening skills to effectively communicate with staff at all organizational levels</li><li>Strong problem solving and critical thinking skills</li><li>Ability to maintain trust and integrity when working with confidential situations and information</li><li>Ability to maintain composure under pressure</li><li>Ability to work collaboratively across a variety of business units within the organization.</li><li>Equivalent education and/or experience may be substituted for any of the above requirements</li></ul>]	TX		Less than 10,000	Banks and Financial Services	0	0	0	1	0	1	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0
5	Data Scientist - Entry to Experienced Level	https://www.indeed.com/rc/clk?jk=835a2db493898f25&fccid=e8f18ca6180ec8da&vjs=3	<80000	data_scientist	[‘AI’, ‘Quantitative Analysis’, ‘Data Mining’, ‘Machine Learning’, ‘Analysis Skills’, ‘CSS’]	6	National Security Agency	173	4.3	30	[<ul><li>Collecting and combining data from multiple sources</li><li>Uncovering and exploring anomalous data (including metadata)</li><li>Applying the scientific process to data evaluation, performing statistical inference, and data mining</li><li>Developing analytic plans, engineer supporting algorithms, and design and implement solutions which execute analytic plans.</li><li>Designing and developing tools and techniques for analysis</li><li>Analyzing data using mathematical/statistical methods</li><li>Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership</li><li>Creating interpretable visualizations </li></ul>, <ul><li>Completed a degree program in the fields of mathematics, statistics, computer science, computational sciences, or a passion for rigorous analysis of data</li><li>Tenacity, integrity, persistence, and willingness to learn</li><li>Ability to solve complex problems</li><li>Use critical thinking and reasoning to make analytic determinations</li><li>Works effectively in a collaborative environment</li><li>Strong communications skills to both technical and non-technical audiences</li><li>The desire to serve over 300 million fellow Americans and make a difference in world events </li></ul>, <ul><li>The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates’ education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.</li></ul>, <ul><li>The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates’ education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.</li></ul>, <ul><li>The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates’ education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.</li></ul>, <ul><li>The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates’ education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.</li></ul>]	MD				0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0
6	Geospatial Data Scientist	https://www.indeed.com/rc/clk?jk=6255c4e94a7efa27&fccid=4500f579ddd13a3b&vjs=3	<80000	data_scientist	[‘Statistical Software’, ‘Machine Learning’, ‘R’, ‘Image Processing’, ‘SQL’, ‘Cloud Computing’, ‘ArcGIS’, ‘GIS’, ‘Python’, ‘AWS’]	10	NYC Careers	30	3.8	5		NY			Government	1	1	1	1	0	0	0	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1
7	Data Scientist	https://www.indeed.com/rc/clk?jk=f30ab3f52226b156&fccid=291c4b8251ea1163&vjs=3	<80000	data_scientist	[‘Machine Learning’, ‘R’, ‘SQL’]	3	OM Partners	NA	NA	10	[<p>With demand sensing, OM Partners is breaking through some boundaries of classical demand forecasting. The use of state of the art techniques like machine learning and neural networks allow for a step change in forecast accuracy, driving immediate value creation for our customers. By using these innovative functionalities, they are able to adjust their supply plans faster and more accurate. </p>, <p>Are you ready to join the demand driven revolution in supply chain? Are you passionate about finding patterns and correlations? Then apply for the position of Data Scientist and join our product development team.</p>, <p>As a Data Scientist, you have only one aim: to <b>provide innovative solutions </b>for the customers’ challenging analytics and forecasting needs.</p>, <ul><li>You analyze their needs, design a prototype, develop the model and optimize your solution.</li> <li>You support the customer throughout the entire implementation schedule.</li> <li>You work in close collaboration with the customer’s project team and you consultant colleagues working on the same project. </li></ul>, <p>Next to the project work you will be responsible for the <b>design of solutions and the development of the products</b>. You ensure that high-quality, well-tested and documented solutions are delivered. </p>, <p>Your challenge is to collect and formulate the business requirements and translate them into functional requirements that can easily be fed into a technical design. Therefore, you work in close collaboration with the product manager and software engineers. </p>, <p>You continuously improve the solutions and develop new functionalities. </p>, <ul><li>You validate these solutions and functionalities with the different stakeholders.</li> <li>You implement and test the developments. </li></ul>, <p>Finally, you document the tools, and train and support your colleagues in the usage of the Solution. You participate in pre-sales to demonstrate functionality that meets the prospects goals and objectives. </p>, <p>Strong analytical skills and problem solving abilities, complemented with a university degree, are indispensable in this job. </p>, <p>You have an entrepreneurial mindset in looking for innovative solutions for our customers’ analytics and forecasting problems. </p>, <ul><li>You are passionate about finding patterns and looking for correlations in big datasets. </li><li>You take incomplete data as a challenge and use qualitative techniques to bridge the gap. </li></ul>, <p>A <b>solid background (at least 5 year) in applied statistics </b>(distributions, statistical testing, confidence intervals, machine learning, time series, …) is required. </p>, <ul><li>You have practical experience with time series analysis and forecasting (exponential smoothing, multivariate regression, ARIMA, …) to solve real-life business problems. </li><li>You benefit from having experience in analyzing and implementing forecasting processes, as well as having working experience as an analyst or consultant for large multinational organizations. </li></ul>, <p>You are familiar with a statistical scripting language, preferably R. Basic knowledge of relational databases and SQL are a plus. </p>, <p>You can present findings clearly to a non-technical audience, using different visualization techniques.</p>, <p>You have an excellent command of at least two languages (Dutch, French, English or German). </p>, <p>You are able to work autonomous and project based. </p>, <p>You can connect with the different stakeholders. You are fun to work with and a great team player! </p>, <p><i>The forecasting team is located in our head office in Wommelgem. Depending on your experience - hence level of autonomy - it will be required to work from the head office</i>.</p>, <p>OM Partners is a <b>software </b>and <b>consulting </b>company focused on <b>Supply Chain Planning</b>. As a company we have but one mission: to optimize our customer’s supply chain. We pride ourselves on developing innovative Advanced Planning Systems (APS) that meet and exceed expectations. Our customer base includes leading companies in different industries, such as ArcelorMittal, BASF, Dow, Johnson & Johnson, Michelin, Shaw, Procter & Gamble and Smurfit Kappa.</p>, <p>Are you the right person for the challenge?</p>]	GA				0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
8	Bioinformatics Data Scientist	https://www.indeed.com/rc/clk?jk=a6e45b6264f26b10&fccid=95ffa1338c01d3de&vjs=3	<80000	data_scientist	[‘Linux’, ‘R’, ‘C/C++’, ‘Python’]	4	University of Idaho	233	4.2	1	[<ul><li>Masters degree in Bioinformatics or three years’ experience and advanced degree in Computer Science, Statistics, Biology, or related discipline.</li><li>Experience with computer languages commonly used in scientific programming (ex. C/C++, python, R, or similar languages).</li><li>Experience working in a UNIX/LINUX, command line environment specifically for bioinformatics data analyst</li><li>Demonstrated ability in analyzing high throughput sequencing data.</li><li>Must have a flexible and professional attitude towards working hours especially with regards to deadlines.</li></ul>, <ul><li>Ph.D. in computational biology, bioinformatics, systems biology, biostatistics or related discipline.</li><li>Three or more years of hands-on research experience with the analysis of high-throughput biological data analysis.</li><li>Possesses a sound knowledge of statistics and quantitative modeling, as well as solid computer programming skills.</li><li>Excellent ability to communicate verbally and in writing.</li><li>Ability to take direction and work efficiently and effectively within a team environment.</li><li>Ability to attend to detail and organize workload to complete complex tasks in a timely manner.</li><li>Working well with people from various organizational disciplines and with people who have varying degrees of technical experience.</li></ul>]	ID			Education and Schools	1	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1
9	Data Scientist	https://www.indeed.com/rc/clk?jk=56090c965b57d1c4&fccid=ca509b164585637a&vjs=3	<80000	data_scientist	[‘JavaScript’, ‘Data Mining’, ‘TS/SCI Clearance’, ‘R’, ‘C/C++’, ‘Python’]	6	usajobs.gov	4227	4.3	22	[<ul><div><h2 class=“jobSectionHeader”><b>Duties </b></h2><h3 class=“jobSectionHeader”><b>Summary </b></h3><div><br/> <p>JOB DESCRIPTION: Data Scientists develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. They conduct data mining and retrieval, and apply statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and gather intelligence. They visualize information using a range of tools (e.g.,<br/> </p> </div><h3 class=“jobSectionHeader”><b>Responsibilities </b></h3><div><br/> <p>ADDITIONAL INFORMATION: The Data & Visualization Career Service (DVCS) serves all of the National Geospatial-Intelligence Agency’s (NGA’s) data, visualization, and design professionals who in turn contribute to NGA’s missions supporting global events, disaster relief, and military operations. DVCS professionals deliver innovative and dynamic products and services that provide conveyance and context to NGA analysis. The DVCS is seeking qualified applicants (both entry-level and experts), for potential future NGA requirements, in the fields below. Please keep in mind that this will be used as a general repository, and that we will continue to post specific opportunity announcements when necessary. When applying, we ask that you reference any/all work roles you feel qualified for, and understand that you may be looked at for additional work roles if deemed appropriate. Additionally, we ask that you please reference any materials given to you during your discussion with NGA representatives (if applicable). </p><br/> </div><div><h3 class=“jobSectionHeader”><b>Travel Required </b></h3><p>Occasional travel - Occasional Travel Required </p></div><div><div><h5 class=“jobSectionHeader”><b>Supervisory status </b></h5><p>No </p></div><div><h5 class=“jobSectionHeader”><b>Promotion Potential </b></h5><p>3 </p></div></div></div><li><div><h4 class=“jobSectionHeader”><b>Job family (Series) </b></h4><p>1530 Statistics </p></div></li><li><p>Requirements </p><div> <h2 class=“jobSectionHeader”><b>Requirements </b></h2><h3 class=“jobSectionHeader”><b>Conditions of Employment </b></h3><ul><li>US Citizenship is required. </li><li>Designated or Random Drug Testing required. </li><li>Security Investigation </li></ul><br/> <div>SPECIAL INFO: <br/> As a condition of employment at NGA, persons being considered for employment must meet NGA fitness for employment standards. <br/> <br/> <ul><li>U.S. Citizenship Required </li><li>Security Clearance (Top Secret/Sensitive Compartmented Information) </li><li>Polygraph Test Required </li><li>Position Subject to Drug Testing </li><li>Two Year Probationary Period </li><li>Direct Deposit Required </li></ul></div><p>SPECIAL REQUIREMENTS: <br/> You must be able to obtain and retain a Top Secret security clearance with access to Sensitive Compartmented Information. In addition, you are subject to a Counterintelligence Polygraph examination in order to maintain access to Top Secret information. All employees are subject to a periodic examination on a random basis in order to determine continued eligibility. Refusal to take the examination may result in denial of access to Top Secret information, SAP, and/or unescorted access to SCIFs. <br/> <br/> Employees with SCI access and who are under NGA cognizance are required to submit a Security Financial Disclosure Report, SF-714, on an annual basis in order to determine continued eligibility. Failure to comply may negatively impact continued access to Top Secret information, Information Systems, SAP, and/or unescorted access to SCIFs.<br/> </p><p><br/> NGA utilizes all processes and procedures of the Defense Civilian Intelligence Personnel System (DCIPS). Non-executive NGA employees are assigned to five distinct pay bands based on the type and scope of work performed. The employee’s base salary is established within their assigned pay band based on their unique qualifications. A performance pay process is conducted each year to determine a potential base pay salary increase and/or bonus. An employee’s annual performance evaluation is a key factor in the performance pay process. Employees on term or temporary appointments are not eligible to apply for internal assignment opportunity notices. <br/> <br/> This position is a DCIPS position in the Excepted Service under 10 U.S.C. 1601. DoD Components with DCIPS positions apply Veterans’ Preference to preference eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are an external applicant claiming veterans’ preference, as defined by Section 2108 of Title 5 U.S.C., you must self-identify your eligibility in our ERecruit application. </p><br/> <div><h3 class=“jobSectionHeader”><b>Qualifications </b></h3><div><p>MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement’s mandatory criteria specified in this vacancy announcement: 1. Demonstrated ability to deconstruct customer challenges and identify appropriate problem-solving techniques to address complex business operations. 2. Ability to script or code in languages such as Python, Javascript, R, C++ or other similar languages. 3. Strong communication and interpersonal skills, including the ability to develop and present briefings to meet the needs of various audiences. </p><p>DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired: It is recommended to have at least 2 years of relevant experience, to include academia, to be considered at the Pay Band 3 level. A Bachelor’s degree in specific area of education or as a rule; every 30 semester (45 quarter) hours of college work is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years. </p></div></div><div><h3 class=“jobSectionHeader”><b>Education </b></h3><br/> </div><div><h3 class=“jobSectionHeader”><b>Additional information </b></h3> </div><div><h3 class=“jobSectionHeader”><b>How You Will Be Evaluated </b></h3><div><p>You will be evaluated for this job based on how well you meet the qualifications above. </p><br/> <p>Applicants are not required to submit a cover letter. The entire cover letter cannot exceed the specified limits provided in the Cover Letter field (3,000 characters). Pages exceeding this limit will not be considered. THE COVER LETTER IS RECOMMENDED BUT IS NOT REQUIRED FOR EMPLOYMENT CONSIDERATION WITH THE NATIONAL GEOSPATIAL-INTELLIGENCE AGENCY. </p><p>APPLICANT EVALUATION PROCESS: Applicants will be evaluated for this job opportunity in three stages: <br/> <br/> All applicants will be evaluated using the Mandatory Qualification Criteria, <br/> Qualified applicants will then be evaluated by an expert or panel of experts using a combination of qualification criteria to determine the best-qualified candidates, <br/> Best-qualified applicants may then be further evaluated through an interview process. <br/> <br/> Applicants are encouraged to carefully review the Assignment Description, Additional Information Provided By the Selecting Official, and the Qualification Requirements; and then construct their resumes to highlight their most relevant and significant experience and education for this job opportunity. This description should include examples that detail the level and complexity of the performed work. Applicants are encouraged to provide any education information referenced in the announcement. If education is listed as a mandatory requirement, only degrees obtained from an institution accredited by an accrediting organization recognized by the Secretary, US Department of Education will be accepted. <br/> <br/> As a condition of employment at NGA, persons being considered for employment must meet NGA fitness for employment standards. <br/> <br/> In accordance with section 9902(h) of title 5, United States Code, annuitants reemployed in the Department of Defense shall receive full annuity and salary upon appointment. They shall not be eligible for retirement contributions, participation in the Thrift Savings Plan, or a supplemental or redetermined annuity for the reemployment period. Discontinued service retirement annuitants (i.e., retired under section 8336(d)(1) or 8414(b)(1)(A) of title 5, United States Code) appointed to the Department of Defense may elect to be subject to retirement provisions of the new appointment as appropriate. (See DoD Instruction 1400.25, Volume 300, at http://www.dtic.mil/whs/directives.) <br/> <br/> All candidates will be considered without regard to race, color, religion, sex, national origin, age, marital status, disability, or sexual orientation. <br/> <br/> NGA provides reasonable accommodations to applicants with disabilities. Applications will only be accepted online. If you need a reasonable accommodation for any part of the application and hiring process, please notify us at recruitment@nga.mil. The decision on granting reasonable accommodation will be on a case-by-case basis.<br/> </p></div> <div><h3 class=“jobSectionHeader”><b>Background checks and security clearance </b></h3><div><div><h5 class=“jobSectionHeader”><b>Security clearance </b></h5><p>Top Secret/SCI </p></div><div><h5 class=“jobSectionHeader”><b>Drug test required </b></h5><p>Yes </p></div></div></div></div></div></li><li><p>Required Documents </p><div> <h2 class=“jobSectionHeader”><b>Required Documents </b></h2><div><p>None </p><div><h4 class=“jobSectionHeader”><b>If you are relying on your education to meet qualification requirements: </b></h4><p>Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education . </p><p>Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating. </p></div></div></div></li><li><p>Benefits </p><div> <h2 class=“jobSectionHeader”><b>Benefits </b></h2><div><br/> <p>Review our benefits</p></div></div></li></ul>, <p>JOB DESCRIPTION: Data Scientists develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. They conduct data mining and retrieval, and apply statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and gather intelligence. They visualize information using a range of tools (e.g.,<br/> </p>, <p>ADDITIONAL INFORMATION: The Data & Visualization Career Service (DVCS) serves all of the National Geospatial-Intelligence Agency’s (NGA’s) data, visualization, and design professionals who in turn contribute to NGA’s missions supporting global events, disaster relief, and military operations. DVCS professionals deliver innovative and dynamic products and services that provide conveyance and context to NGA analysis. The DVCS is seeking qualified applicants (both entry-level and experts), for potential future NGA requirements, in the fields below. Please keep in mind that this will be used as a general repository, and that we will continue to post specific opportunity announcements when necessary. When applying, we ask that you reference any/all work roles you feel qualified for, and understand that you may be looked at for additional work roles if deemed appropriate. Additionally, we ask that you please reference any materials given to you during your discussion with NGA representatives (if applicable). </p>, <p>Occasional travel - Occasional Travel Required </p>, <p>No </p>, <p>3 </p>, <p>1530 Statistics </p>, <p>Requirements </p>, <ul><li>US Citizenship is required. </li><li>Designated or Random Drug Testing required. </li><li>Security Investigation </li></ul>, <ul><li>U.S. Citizenship Required </li><li>Security Clearance (Top Secret/Sensitive Compartmented Information) </li><li>Polygraph Test Required </li><li>Position Subject to Drug Testing </li><li>Two Year Probationary Period </li><li>Direct Deposit Required </li></ul>, <p>SPECIAL REQUIREMENTS: <br/> You must be able to obtain and retain a Top Secret security clearance with access to Sensitive Compartmented Information. In addition, you are subject to a Counterintelligence Polygraph examination in order to maintain access to Top Secret information. All employees are subject to a periodic examination on a random basis in order to determine continued eligibility. Refusal to take the examination may result in denial of access to Top Secret information, SAP, and/or unescorted access to SCIFs. <br/> <br/> Employees with SCI access and who are under NGA cognizance are required to submit a Security Financial Disclosure Report, SF-714, on an annual basis in order to determine continued eligibility. Failure to comply may negatively impact continued access to Top Secret information, Information Systems, SAP, and/or unescorted access to SCIFs.<br/> </p>, <p><br/> NGA utilizes all processes and procedures of the Defense Civilian Intelligence Personnel System (DCIPS). Non-executive NGA employees are assigned to five distinct pay bands based on the type and scope of work performed. The employee’s base salary is established within their assigned pay band based on their unique qualifications. A performance pay process is conducted each year to determine a potential base pay salary increase and/or bonus. An employee’s annual performance evaluation is a key factor in the performance pay process. Employees on term or temporary appointments are not eligible to apply for internal assignment opportunity notices. <br/> <br/> This position is a DCIPS position in the Excepted Service under 10 U.S.C. 1601. DoD Components with DCIPS positions apply Veterans’ Preference to preference eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are an external applicant claiming veterans’ preference, as defined by Section 2108 of Title 5 U.S.C., you must self-identify your eligibility in our ERecruit application. </p>, <p>MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement’s mandatory criteria specified in this vacancy announcement: 1. Demonstrated ability to deconstruct customer challenges and identify appropriate problem-solving techniques to address complex business operations. 2. Ability to script or code in languages such as Python, Javascript, R, C++ or other similar languages. 3. Strong communication and interpersonal skills, including the ability to develop and present briefings to meet the needs of various audiences. </p>, <p>DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired: It is recommended to have at least 2 years of relevant experience, to include academia, to be considered at the Pay Band 3 level. A Bachelor’s degree in specific area of education or as a rule; every 30 semester (45 quarter) hours of college work is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years. </p>, <p>You will be evaluated for this job based on how well you meet the qualifications above. </p>, <p>Applicants are not required to submit a cover letter. The entire cover letter cannot exceed the specified limits provided in the Cover Letter field (3,000 characters). Pages exceeding this limit will not be considered. THE COVER LETTER IS RECOMMENDED BUT IS NOT REQUIRED FOR EMPLOYMENT CONSIDERATION WITH THE NATIONAL GEOSPATIAL-INTELLIGENCE AGENCY. </p>, <p>APPLICANT EVALUATION PROCESS: Applicants will be evaluated for this job opportunity in three stages: <br/> <br/> All applicants will be evaluated using the Mandatory Qualification Criteria, <br/> Qualified applicants will then be evaluated by an expert or panel of experts using a combination of qualification criteria to determine the best-qualified candidates, <br/> Best-qualified applicants may then be further evaluated through an interview process. <br/> <br/> Applicants are encouraged to carefully review the Assignment Description, Additional Information Provided By the Selecting Official, and the Qualification Requirements; and then construct their resumes to highlight their most relevant and significant experience and education for this job opportunity. This description should include examples that detail the level and complexity of the performed work. Applicants are encouraged to provide any education information referenced in the announcement. If education is listed as a mandatory requirement, only degrees obtained from an institution accredited by an accrediting organization recognized by the Secretary, US Department of Education will be accepted. <br/> <br/> As a condition of employment at NGA, persons being considered for employment must meet NGA fitness for employment standards. <br/> <br/> In accordance with section 9902(h) of title 5, United States Code, annuitants reemployed in the Department of Defense shall receive full annuity and salary upon appointment. They shall not be eligible for retirement contributions, participation in the Thrift Savings Plan, or a supplemental or redetermined annuity for the reemployment period. Discontinued service retirement annuitants (i.e., retired under section 8336(d)(1) or 8414(b)(1)(A) of title 5, United States Code) appointed to the Department of Defense may elect to be subject to retirement provisions of the new appointment as appropriate. (See DoD Instruction 1400.25, Volume 300, at http://www.dtic.mil/whs/directives.) <br/> <br/> All candidates will be considered without regard to race, color, religion, sex, national origin, age, marital status, disability, or sexual orientation. <br/> <br/> NGA provides reasonable accommodations to applicants with disabilities. Applications will only be accepted online. If you need a reasonable accommodation for any part of the application and hiring process, please notify us at recruitment@nga.mil. The decision on granting reasonable accommodation will be on a case-by-case basis.<br/> </p>, <p>Top Secret/SCI </p>, <p>Yes </p>, <p>Required Documents </p>, <p>None </p>, <p>Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education . </p>, <p>Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating. </p>, <p>Benefits </p>, <p>Review our benefits</p>]	MO		10,000+	Government	1	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1
10	Data Scientist	https://www.indeed.com/rc/clk?jk=8c8963cb38cd4907&fccid=1f92178814b05d89&vjs=3	<80000	data_scientist	[‘Machine Learning’, ‘R’, ‘SPSS’, ‘Data Analysis’, ‘Statistical Software’, ‘Data Mining’, ‘SAS’, ‘Python’]	8	The University of Pittsburgh	541	4.2	1	[<p>The Department of Epidemiology at the University of Pittsburgh’s Graduate School of Public Health is seeking a qualified Data Scientist.</p>, <p> The Data Scientist will work to improve existing data management systems, provide reporting support, and conduct analyses. Duties of the incumbent include developing and implementing programs to process and manipulate large datasets, writing queries for extracting data, preparing reports with both tabular and graphical presentations, and developing statistical and mathematical models. The candidate will be responsible for analysis, design, testing, documentation, and evidence of efficacy. The candidate must have experience working within a team environment, yet independently be able to work on multiple projects simultaneously, and work well under pressure to meet deadlines. The incumbent must be proficient in report generation, query writing, databases, and data visualization. In addition, the candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., SAS, R, SPSS, Python) and techniques (e.g., regression modeling, survival analysis, machine learning, data mining, clustering).</p>, <p>Master’s degree in Biostatistics, Statistics, Data Science, Mathematics, Information Science, Data Sciences, or related field with at least 5 years of experience in data analysis, database management, or information technology; or a Doctoral degree in Biostatistics, Statistics, Epidemiology, Data Science, Mathematics, Information Science, Data Sciences, or related field; or some combination of related experience and graduate education required.</p>, <p>The following PA Act 153 clearances and background checks may be required prior to commencement of employment and as a condition of continued employment: PA State Police Criminal Record Check, FBI Criminal Record Check, PA Child Abuse History Clearance.</p>, <ul><li>Education benefits and a retirement plan with employer match</li></ul>, <ul><li>Group medical insurance, life insurance, and optional vision and dental insurance</li></ul>, <ul><li>Free transit service within Allegheny County for employees of the Oakland campus (Port Authority Transit)</li></ul>, <ul><li>Time off benefits including vacation, sick and personal time</li></ul>]	PA			Education and Schools	1	0	1	1	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1
11	Data Scientist	https://www.indeed.com/rc/clk?jk=dffcee22fbc2647a&fccid=1f92178814b05d89&vjs=3	<80000	data_scientist	[‘Machine Learning’, ‘R’, ‘SPSS’, ‘Data Analysis’, ‘Statistical Software’, ‘Data Mining’, ‘SAS’, ‘Python’]	8	The University of Pittsburgh	541	4.2	1	[<p>The Department of Epidemiology at the University of Pittsburgh’s Graduate School of Public Health is seeking a qualified Data Scientist.</p>, <p> The Data Scientist will work to improve existing data management systems, provide reporting support, and conduct analyses. Duties of the incumbent include developing and implementing programs to process and manipulate large datasets, writing queries for extracting data, preparing reports with both tabular and graphical presentations, and developing statistical and mathematical models. The candidate will be responsible for analysis, design, testing, documentation, and evidence of efficacy. The candidate must have experience working within a team environment, yet independently be able to work on multiple projects simultaneously, and work well under pressure to meet deadlines. The incumbent must be proficient in report generation, query writing, databases, and data visualization. In addition, the candidate must have experience designing, conducting, and interpreting statistical analyses using common statistical software tools (e.g., SAS, R, SPSS, Python) and techniques (e.g., regression modeling, survival analysis, machine learning, data mining, clustering).</p>, <p>Master’s degree in Biostatistics, Statistics, Data Science, Mathematics, Information Science, Data Sciences, or related field with at least 5 years of experience in data analysis, database management, or information technology; or a Doctoral degree in Biostatistics, Statistics, Epidemiology, Data Science, Mathematics, Information Science, Data Sciences, or related field; or some combination of related experience and graduate education required.</p>, <p>The following PA Act 153 clearances and background checks may be required prior to commencement of employment and as a condition of continued employment: PA State Police Criminal Record Check, FBI Criminal Record Check, PA Child Abuse History Clearance.</p>, <ul><li>Education benefits and a retirement plan with employer match</li></ul>, <ul><li>Group medical insurance, life insurance, and optional vision and dental insurance</li></ul>, <ul><li>Free transit service within Allegheny County for employees of the Oakland campus (Port Authority Transit)</li></ul>, <ul><li>Time off benefits including vacation, sick and personal time</li></ul>]	PA			Education and Schools	1	0	1	1	0	0	1	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1
12	Data Scientist	https://www.indeed.com/rc/clk?jk=290bda935f2dacf6&fccid=a3d79a6d43cd3473&vjs=3	<80000	data_scientist	[‘Machine Learning’, ‘Analysis Skills’, ‘Data Science’]	3	Rice University	150	4.3	30	[<p>Salary Commensurate with Experience and Qualifications</p>, <p>Monday through Friday, 8 a.m. to 5 p.m.; some late evenings may be required including some weekends.</p>, <p>Texas Policy Lab (TPL) is seeking a data scientist. The successful candidate will work with other members of TPL and faculty at Rice University to contribute to analytical projects involving large administrative and survey-generated datasets. S/he will apply frontier data analytic techniques (predictive modeling, machine learning etc.) to address policymaker needs. S/he will import, manipulate, and merge large datasets. S/he will devise and implement strategies to automate the process of importing, exporting and linking datasets arriving from various government agencies.</p>, <p> TPL provides Texas state and local government agencies with science driven results to help inform how policy is developed and implemented in Texas. In close collaboration with those agencies, we produce scientific, independent, timely evaluations of current social and economic programs and new program initiatives. These long-term partnerships will improve Texas state and local government capacity to utilize data, scientific evidence and technology in policy-making and resource allocation. The Texas Policy Lab draws on the expertise of Rice University faculty and its own professional research staff.</p>, <p>In a relevant field (computer science, mathematics, statistics, economics, finance etc.).</p>, <p>Experience may not be substituted for the education requirement.</p>, <p>Master’s degree in a relevant field.</p>, <ul><li>Experience in application of predictive modeling or machine learning.</li><li>Experience in manipulating administrative data collected from multiple sources.</li><li>Demonstrable interest in public policy.</li><li>Ability to communicate complex techniques and methods with other researchers.</li><li>Interest in a substantive public policy area, such as criminal justice, child protective services, health, education or others.</li></ul>, <ul><li>Good listening, verbal and written communication, analytical, and research skills.</li><li>Excellent scientific and numerical skills with meticulous attention to details and accuracy.</li><li>Ability to work in a team environment, to participate actively, to collaborate and to motivate others in the lab.</li><li>Good critical thinking, technical, data collection and interviewing skills.</li><li>Good statistical and graphical analysis skills.</li><li>Ability to maintain quality, safety and / or infection control standards.</li><li>Ability to plan and schedule effectively.</li></ul>, <ul><li>Expertise, as demonstrated by advanced coursework or other relevant experience, in predictive modeling, machine learning and statistics.</li><li>Demonstrable expertise in determining the appropriate analytic approaches and computing techniques given the data availability and research question.</li><li>Strong programming skills in statistical and/or computational programs. </li><li>Knowledge of frontier data science techniques and experience in their applications.</li><li>Experience in importing, linking, reshaping and managing large administrative datasets.</li></ul>, <ul><li>Will work closely and report to the research scientist(s).</li><li>Frequent contact with the TPL research team and staff members.</li><li>Will have regular contact with various Rice University personnel and other stakeholders, including local and state entities from which TPL will acquire data.</li></ul>, <ul><li>Must be able to work at a computer terminal for extended periods of time.</li><li>Must be able to move about campus and go to various TPL sites.</li></ul>, <ul><li>Monday-Friday, standard 40 hour work week</li><li>Some late evenings and/or weekends required to meet TPL deadlines</li></ul>]	TX	Less than $1B (USD)	Less than 10,000	Education and Schools	0	0	1	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1
13	Jr. Data Scientist - Machine Learning	https://www.indeed.com/rc/clk?jk=8c2855de0feec361&fccid=918f9b74accbe201&vjs=3	<80000	data_scientist	[‘Machine Learning’, ‘Python’]	2	Elev8 Hire Solutions	NA	NA	6	[<p>Mid Data Scientist</p>, <p>Our client in the Midtown area is looking for a Jr. Data Scientist with a passion for Machine Learning, knows the how’s & why’s of algorithms, and is excited about the fraud industry. You’ll be a pivotal piece in the Atlanta/US team in development and application of adaptive real-time analytical modeling algorithms. So if that gets you excited, apply!</p>, <p>Role Expectations:</p>, <ul><li>End-to-end processing and modeling of large customer data sets.</li> <li>Working with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modeling.</li> <li>Develop statistical models and algorithms for integration with company’s product.</li> <li>Apply analytical theory to real-world problems on large and dynamic datasets.</li> <li>Produce materials to feedback analytic results to customers (reports, presentations, visualizations).</li> <li>Providing input into future data science strategy and product development.</li> <li>Working with development teams to support and enhance the analytical infrastructure.</li> <li>Work with the QA team to advise on effective analytical testing.</li> <li>Evaluate and improve the analytical results on live systems.</li> <li>Develop an understanding of the industry data structures and processes.</li> </ul>, <p>Team working with:</p>, <ul><li>Currently 6 other Data Scientist local to Atlanta, the rest of the team (10+) in Cambridge</li> <li>130 people in the entire company</li> </ul>, <p>Top skills required:</p>, <ul><li>Degree-level qualification with good mathematical background and knowledge of statistics.</li> <li>Professional experience using Random Forests, machine learning algorithms, development skills with C or Python</li> <li>First-hand experience of putting Data Storage into production</li> <li>Experience in implementing statistical models and analytical algorithms in software.</li> <li>Practical experience of the handling and mining of large, diverse, data sets.</li> <li>Must have a USA work visa or Passport.</li> </ul>, <p>Nice to have:</p>, <ul><li>Ph.D. or other postgraduate qualification would be an extreme advantage</li> <li>An indication of how relevant technologies have been used (not just a list).</li> <li>Attention to grammatical detail, layout and presentation.</li> </ul>, <p>Benefits:</p>, <ul><li>Regular bonus scheme</li> <li>20 days annual leave</li> <li>Healthcare package</li> <li>Free Friday lunches</li> <li>Regular social outings</li> <li>Fridge and cupboards packed full of edible treats</li> <li>Annual summer social and Christmas dinner</li> <li>Market Salary Expectation: $70-85k</li></ul>]	GA				1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
14	Data Scientist	https://www.indeed.com/rc/clk?jk=ba1b24901c04182c&fccid=7cb8926c790321ab&vjs=3	<80000	data_scientist	[‘TensorFlow’, ‘Project Planning’, ‘Linux’, ‘Machine Learning’, ‘C/C++’, ‘Python’, ‘Jira’]	7	Catalina Marketing	81	3.2	30	[<p><b>WHY CATALINA </b></p>, <p>Catalina’s personalized digital media connects shoppers to the brands we know they want. We do this by delivering only the most relevant ads and offers from their home to the aisle. And only Catalina knows the evolving purchase history and individual needs of more than three-quarters of (280 million) American shoppers. With the world’s largest shopper purchase history database driving all personalized media across our networks, Catalina drives lift and loyalty for the world’s leading CPG brands and retailers. We target consumers with the right behavior-based message when it’s most impactful via the channel that’s most likely to reach them — digital or in the store. </p>, <p><b>OUR TEAM </b></p>, <p>The Advanced Analytics and Data Science team at Catalina operates near the tip of spear, creating new, world-class science-based capabilities for external and internal clients, shepherding these initiatives from initial concept, prototyping / proof-of-concept, design, build, testing, training, and handoff. We use advanced machine learning, data science, operations research, statistics, and related analytics methodologies, operating on big data and delivered on a scalable computing platform using modern technologies. We illustrate value and drive to bring these capabilities to initial Production and ensure that these initiatives are successful when we hand off. </p>, <p>This position will report directly to the VP of Advanced Analytics and Data Science. </p>, <p><b>WHAT YOU WILL BE DOING </b></p>, <p>The Incumbent will </p>, <ul><li>Works on moderate to complex projects that require a singular area of expertise </li><li>Leads project planning sessions with users, business analysts, and team members to gather and analyze user requirements. Develops recommendations </li><li>Formulates mathematical models in an appropriate programming language or application </li><li>Analyzes raw input data from computer or other media </li><li>Validates and tests of models to ensure adequacy, or determines need for reformulation </li><li>Utilizes and stays current on applicable programming languages and software technologies </li><li>Tracks progress and reports out to stakeholders </li><li>Knows what quality means, strives for quality, designs for quality, tests and refines until a very high quality is achieved, and continuously improves </li><li>Delivers prototypes / proofs of concept </li><li>Recommends plans to bring to Production </li><li>This is a skilled position with minimal supervision required (supervision by manager a couple of times per week) </li></ul>, <p><b>WHAT YOU BRING TO THE TEAM </b></p>, <ul><li>Ph.D. in machine learning, computer science, engineering, mathematics, statistics, operations research, or related discipline; <b>OR </b></li><li>Masters degree in (same disciplines mentioned above) <b>AND </b>2+ years experience after graduate school in computation, data science, machine learning or related; <b>OR </b></li><li>Bachelor degree <b>AND </b>4+ years experience </li></ul>, <ul><li>Computing skills: programming (e.g., C++), cloud distributed computing, python / R, machine learning framework(s) (e.g., sk-learn, tensorflow), linux, bitbucket, Target Process/JIRA or other issue-tracking </li><li>Good communications, verbally, and also have ability to construct cogent design documents, emails and PowerPoints </li><li>Atlanta-based. (Will entertain candidates willing to relocate to Atlanta.) </li><li>Ability to travel up to 25% </li></ul>, <p><b>ADDITIONAL PREFERRED SKILLS </b></p>, <ul><li>Sunny disposition, team player </li><li>Academic networking </li></ul>, <p><b>CATALINA CORE VALUES </b></p>, <p><b>Be a trusted partner </b>: Act with integrity and positive intent </p>, <p><b>Focus on the customer: </b>Keep the needs of both internal and external customers as well as </p>, <p>consumers front and center </p>, <p><b>Act like an owner: </b>Think holistically about how your role helps fulfill our Mission </p>, <p><b>Be innovative: </b>Share and scale the best ideas regardless of origin </p>, <p><b>Strive for simplicity: </b>Add meaning and eliminate complexity </p>, <p><b>Value personal and professional growth: </b>Contribute to an environment that enables </p>, <p>individual, team and organizational success </p>, <p><i>The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform other job-related tasks other than those specifically presented in this description.<br/> </i><br/> </p>, <p><i>All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.<br/> </i></p>, <p><br/> <i>We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace. </i></p>, <p><b>Note to Recruiters and Placement Agencies </b>: We do not accept unsolicited resumes from outside recruiters /placement agencies. Catalina will not pay fees associated with resumes presented through unsolicited means.</p>]	GA	Less than $1B (USD)	Less than 10,000	Consulting and Business Services	1	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0
15	Enrollment Data Scientist & Econometrician	https://www.indeed.com/rc/clk?jk=392a25a4538255e0&fccid=dc35d3f5eff3380a&vjs=3	<80000	data_scientist	[‘Machine Learning’, ‘R’, ‘Statisical Analysis’, ‘SPSS’, ‘Statistical Software’, ‘Data Mining’, ‘Scala’, ‘Tableau’, ‘Java’, ‘“Drivers License”’, ‘Python’]	11	Florida Polytechnic University	16	3.9	1	[<p>Located along Florida’s I-4 High Tech Corridor, Florida Poly opened its doors in August 2014 as the state’s 12th university and the only one dedicated to core subjects in Science, Technology, Engineering and Mathematics (STEM education). The non-traditional academic environment focuses on applied learning, specifically in technology and engineering. Small class sizes give faculty the opportunity to work closely with high-caliber students, and the most advanced technology, including a Supercomputer, 3D printing lab, media lab and nanotechnology lab, sets Florida Poly apart from other state universities. Florida Poly’s innovative approach to higher education allows students to learn strong fundamentals within a traditional university department structure, while giving them opportunities to apply their learning through research and projects in emerging high-tech concentrations like Cyber Security, Big Data Analytics, Machine Intelligence and more. The University partners closely with industry leading firms, and faculty members are rewarded for more than just publishing. Industry involvement, problem solving, and the commercialization of technology and research through start-ups and small businesses are encouraged.<br/> </p>, <p><b>RESPONSIBILITIES: </b></p>, <ul><li>Employ statistical / microeconomics / econometrics / behavioral economics to assess and analyze student consumer data by working directly with data sources and the admissions and financial aid office. </li></ul>, <ul><li>Explore new data sources related to student consumers. Work with various data sources and platforms to gather data. </li></ul>, <ul><li>Develop analytic frameworks to support research effort in demand forecasting to enhance the University’s capability in making strategic recruitment decisions in a public STEM university and highly competitive market environment. </li></ul>, <ul><li>Support the deployment of analytical tools to business partners. Maintain and enhance previously developed models and tools. </li></ul>, <ul><li>Execute both descriptive and inferential ad hoc requests in a timely manner. </li></ul>, <ul><li>Assist in communicate and present models and analytical results. Help staff uncover hidden opportunities using data and analytics including automation, and machine learning and make recommendations for new metrics, techniques, and strategies to improve admissions and financial aid operations </li></ul>, <ul><li>Own the design, development, and maintenance of data science models, metrics, reports, analyses, dashboards, etc. to drive key business decisions. </li></ul>, <ul><li>Understand business and product strategies, goals and objectives through partnerships with key stakeholders. Set the analytics roadmap to drive the goals of enrollment management. </li></ul>, <ul><li>Requires a technical thought leader that can dive deep work with internal teams to design and implement next generation, data science architectures. </li></ul>, <ul><li>Other duties as assigned. </li></ul>, <p><b>KNOWLEDGE, SKILLS AND ABILITIES: </b></p>, <p>· Manages system projects, reports progress, and identifies and recommends solutions to potential problems </p>, <p>· Position will build time series models to forecast a number of enrollment events. For example, build models to predict future applications of certain segments of the high school market; model the effects of environmental changes on promotion effectiveness with multiple regression. </p>, <p>· Experience using statistical methods to determine outcome variables. The capacity to build models with knowledge of statistical packages (SPSS, Pandas, NumPy, Sklearn, R, or others) to analyze data on STEM college going patterns, student characteristics and correlations with campus or admissions variables (visits, AP, specific HS courses, etc.). </p>, <p>· Recommends and implements process solutions to work in an efficient manner and improve student satisfaction and productivity </p>, <p>· Excellent organizational skills with the ability to multi-task. </p>, <ul><li>Self-starter, high level of initiative, detail-oriented and ability to multi-task. </li></ul>, <ul><li>Strong problem formulation and problem solving skills. </li></ul>, <ul><li>Strong collaboration and communications skills. </li></ul>, <p>· Strong interpersonal skills and leadership behavior </p>, <p><b>MINIMUM QUALIFICATIONS: </b></p>, <ul><li>Bachelor’s degree from an accredited institution in Data Science, Economics, Computer Science, Operations Research, Statistics, Mathematics, or a related major field of study. </li></ul>, <ul><li>3+ years of working experience in a quantitative field such as Economics (applied microeconomics, behavioral/applied econometrics, industrial organization, labor economics), Statistics, Applied Mathematics OR in lieu of work experience, a PhD in same fields </li></ul>, <p><b>PREFERRED QUALIFICATIONS: </b></p>, <ul><li>Master’s or Ph.D. in a quantitative field (economics, ed. psych, data science, applied microeconomics, applied econometrics, industrial organization, labor economics, statistics, or applied mathematics and/or 3-5 years of experience in data science, statistics or economics </li></ul>, <ul><li>Experience in Machine Learning and advanced statistical techniques </li></ul>, <ul><li>Skilled in statistical software packages </li></ul>, <ul><li>Knowledgeable in Python, Java, Scala (or similar scripting language). </li></ul>, <ul><li>Hands-on experience with visualization tools like Tableau. </li></ul>, <ul><li>Strong knowledge in Excel reporting (VLookup and pivot tables) </li></ul>, <p><b>REQUIRED LICENSES, CERTIFICATIONS, AND/OR OTHER SPECIFIC REQUIREMENTS OF LAW: </b></p>, <ul><li>Must possess a valid driver’s license. </li><li>This position requires a criminal background check. </li><li>This position is subject to federal and state privacy regulations. </li></ul>, <p><b>NORMAL WORK SCHEDULE: </b>This position is salary exempt. The normal work schedule is Monday – Friday, 8:00 a.m.-5:00 p.m., however, occasional overtime (weekends and evenings) may be required. </p>, <p><b>TARGET HIRING SALARY </b>: $55,390 - $69,240, commensurate with experience. </p>, <p><b>APPLICATION DEADLINE DATE </b>: The position is open until filled. </p>, <p><b>Special Instructions Regarding Attachments:<br/> </b></p>, <p>Required attachments are listed on each posting. <b><i>Please be sure to attach all required documents in the Resume/CV field before continuing through the application. </i></b>Once your application has been submitted, no changes may be made and additional attachments will not be considered.<br/> </p>, <p>An unofficial copy of the degree/transcript is acceptable during the application process. For positions requiring a degree, the official transcripts are required upon hire.<br/> </p>, <p>Foreign Transcript: Transcripts issued outside of the United States require a equivalency statement from a certified transcript evaluation service verifying the degree equivalency to that of an accredited institution within the USA. This report must be attached with the application and submitted by the application deadline.<br/> </p>, <p>All document(s) must be received on or before the closing date of the job announcements.<br/> </p>, <p><b><i>This position requires a background check, which may include a level II screening as required by the Florida </i></b><b><i>Statute §435.04.</i></b></p>]	FL		Less than 10,000	Education and Schools	1	0	1	1	0	1	0	0	1	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1
16	Junior Data Scientist	https://www.indeed.com/rc/clk?jk=31ae275f05456ffc&fccid=1c0efdb7854b6585&vjs=3	<80000	data_scientist	[‘Machine Learning’, ‘R’, ‘SQL’, ‘Analysis Skills’, ‘Python’, ‘Data Science’]	6	Achievement Network (ANet)	NA	NA	30	[<p> Achievement Network (ANet) is a nonprofit dedicated to educational equity. We help schools boost student learning with great teaching that’s grounded in standards, informed by data, and built on the successful practices of educators around the country. </p>, <p>Founded in 2005, ANet now serves over 700 schools educating over 230,000 students in California, Colorado, Connecticut, District of Columbia, Illinois, Louisiana, Massachusetts, Michigan, New Jersey, New York, Ohio, and Tennessee. Our support has consistently helped our partner schools—both district and charter—achieve breakthrough results for their students. ANet has received multiple awards and recognitions, including a prestigious Investing In Innovation (i3) grant from the federal government in 2010, New Schools Venture Fund’s “Organization of the Year” in 2011, and The NonProfit Time’s “Best Nonprofits to Work For” in 2015 and 2016. </p>, <ul><li> <b>Build and refine predictive models to help ANet understand what factors most drive instructional change, student performance, and school partner satisfaction (40%)</b></li><li> Extract, clean and analyze large volumes of assessment, product usage, and other data to glean insights on how ANet can better support schools and improve student learning outcomes</li><li> Analyze the impact of specific product / service offerings on school and student outcomes</li><li> Apply machine learning and statistical modeling techniques</li><li> Lead data characterization and mining of newer ANet data sources, including: establishing analytic rules, defining reporting requirements, and providing technical advisement on how to improve data validity</li><li> Identify new data sources that could strengthen insights into student and educator learning, including scraping publicly available data that might be relevant</li><li> Work with Engineering team to advise on long-term storage, analytic and cloud solutions</li><li> Support the Office of the CEO in quarterly top-line goal reporting, conducting follow-up analyses as needed</li></ul>, <ul><li> <b>Lead analytics of user feedback and usage data to help ANet increase school partnership strength and growth (30%)</b></li><li> Partner with business leads to formulate and scope key business questions </li><li> Work with business leads to design user feedback strategy that achieves the right balance of real-time feedback and periodic deeper reflections</li><li> Build analytic models that ingest multiple sources of feedback data to output holistic insights</li><li> Partner with data dashboard team to build intuitive, action-oriented, and holistic dashboards that enable internal stakeholders to understand their partners’ experiences and connect it to other data points</li><li> Project manage feedback collection strategy (likely a mix of surveys, online polling and usage analytics). Work across a range of internal partners to ensure timely survey build, administration, outreach, and response rate monitoring. </li><li> Boost end user (primarily team managers across Network, National & Program teams) internalization of user feedback results for action and decision-making</li></ul>, <ul><li> <b>Develop tools, code and systematic approaches to automate modeling, data joining, and ongoing model improvement (20%)</b></li></ul>, <ul><li> <b>Coach other analysts on use of statistical and machine learning packages and tools, to grow ANet’s analytic talent bench (10%)</b></li></ul>, <ul><li> <b>Data analysis skills and experience: </b>You bring 2-3 years direct experience building and deploying predictive models using Python or R, statistical hypothesis testing, common machine learning and statistical packages (scikit-learn, etc), and hyperparameter tuning. </li><li> You have experience extracting, cleaning and analyzing data sets with multiple millions of rows (preferably 10+ million) and have basic to intermediate experience in SQL.</li><li> You have demonstrated the ability to create intuitive visualizations and dashboards that drive action</li><li> You have experience researching and resolving data and analytic issues with a systematic, intuitive and problem-solving mentality while working with large, complex and incomplete sources </li><li> <b>Service-orientated:</b> You know that we are most effective when we work together and that we realize our impact through listening to and responding to the unique needs of others on ANet internal teams, always in service of our school communities. </li><li> <b>Strong organization skills:</b> You are confident owning projects independently because of your careful planning, time management, detail orientation, and prioritization skills.</li><li> <b>Highly flexible: </b>You know that schools and our Network teams are dynamic communities and a “one size fits all” approach won’t get us the results we want. </li><li> <b>Proactive and motivated:</b> You are willing to take initiative, ask for feedback, and consistently reflect on ways to improve. You are eager to grow professionally and acquire new statistical and technical skills. You are passionate about continuously learning about the latest data science tools and how they can be applied to advance student learning and outcomes.</li><li> <b>Belief in Achievement Network’s mission: </b>You have a passionate commitment to and a sense of urgency for the support of schools, along with a belief that all students can achieve at high levels.</li><li> <b>Belief in ANet’s Core Values:</b> You are motivated by working in an environment where we live out our core values daily and are eager to examine personal archetypes and biases while discussing topics related to race, class, and privilege which relate to ANet’s Advance Equity and People Matter values</li></ul>, <ul><li> You bring prior experience working within or on behalf of schools and/or education nonprofits<br/> </li></ul>]	MA				1	1	1	1	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
17	Data Scientist	https://www.indeed.com/rc/clk?jk=6be53db39253f014&fccid=9e215d88a6b33622&vjs=3	<80000	data_scientist	[‘Microsoft SQL Server’, ‘Data Mining’, ‘Machine Learning’, ‘Visual Basic’, ‘R’, ‘SAS’, ‘SQL’, ‘Excel’, ‘Tableau’, ‘Microsoft Access’, ‘SPSS’, ‘Python’]	12	Deloitte	7197	4.0	30	[<ul><li><div>Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms</div></li> <li><div>Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions</div></li> <li><div>Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements</div></li></ul>, <ul><li> Master’s degree in Applied Math, Economics, Statistics, Engineering, Computer Science or other quantitative field.</li><li> Demonstrated specialized experience with data processing, database programming, and data analytics.</li><li> Demonstrated specialized experience with programming languages such as Python/R.</li><li> Demonstrated knowledge in using query languages such as SQL.</li><li> Demonstrated specialized experience with data visualization tools such as Tableau and/or Qlik.</li><li> Demonstrated knowledge of machine learning techniques and algorithms.</li><li> Demonstrated knowledge of DoD, IC, or other government agency programs, budgetary or finance processes.</li><li> Developing and implementing solutions to financial data management challenges using advanced programming language skills as well as Visual Basic for Applications (VBA), Structured Query Language (SQL), SQL Server, Microsoft Access and Microsoft Excel technologies.</li><li> Understanding financial management processes, software, applications, tools, and systems with a vision toward process improvement.</li><li> Data mining using state-of-the-art methods.</li><li> Extending FM’s data with sources of information from other areas of the enterprise when needed.</li><li> Processing, cleansing, and verifying the integrity of data used for analysis.</li><li> Creating automated anomaly detection and correction systems.</li><li> Experience with programming languages such as Python/R.</li><li> Experience with data visualization tools such as Tableau and/or Qlik.</li><li> Organizing and “wrangling” large datasets from multiple financial systems to develop actionable insights from them.</li><li> Creating meaningful data visualizations that communicate findings and potential for business impact to key decision makers.</li><li> Keeping up-to-date with latest technology trends.</li><li> Acting as a data expert and advisor in such areas as data system architectures, data governance.</li></ul>, <p>As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.</p>, <p> All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]	VA		10,000+	Consulting and Business Services	1	1	1	1	0	1	1	0	0	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0
18	Data Analytics and Machine Learning Specialist	https://www.indeed.com/rc/clk?jk=3a200a28f9041a04&fccid=1ddb91d85c72e885&vjs=3	<80000	data_scientist	[‘Machine Learning’]	1	ExxonMobil	2234	4.0	11	[<p>ExxonMobil Research and Engineering Company is seeking ambitious and motivated candidates with Engineering, Applied Math, Computer Science or related experience and with an interest in applying data analytics to solve the world’s toughest energy problems to join our Modeling & Optimization team at the Clinton, NJ campus.</p>, <p>Job Role Responsibilities </p>, <ul><li>Knowledge and experience with distributed data processing environments, non-convex optimization, and numerical methods</li> <li>Curious and analytical mindset</li> <li>Demonstrated strong leadership skills</li> <li>Excellent verbal and written communication skills</li> <li>Desire and ability to grow into new process technology areas and learn new skills<br/> </li></ul>, <p>Expected Level of Proficiency </p>, <ul><li>M.S./Ph.D. degree in Computer Science, Electrical/Chemical/Mechanical Engineering, Applied Mathematics, Statistics or other related scientific discipline</li> <li>Strong theoretical and applied background in machine learning, statistics, data-mining and optimization</li> <li>Strong communication skills with an ability to interact with a variety of researchers and business partners in different disciplines</li> <li>Demonstrate personal accountability for quality of work</li> <li>Use a measured risk approach in business decisions</li> </ul>, <p>ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.</p>, <p><br/> <b>Nearest Major Market: </b>New Jersey <br/> <b>Job Segment: </b>Analytics, Database, Engineer, Electrical, Computer Science, Management, Technology, Engineering</p>]	NJ	More than $10B (USD)	10,000+	Energy and Utilities	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1
19	Postdoctoral Associate/Data Scientist, Laboratory for Multis…	https://www.indeed.com/rc/clk?jk=2037d50ef865535f&fccid=71cf745ec1b3aae4&vjs=3	<80000	data_scientist	[‘LMRT’, ‘Machine Learning’]	2	MIT	278	4.2	5	[<p><b>Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.<br/> </b></p>, <p><b>POSTDOCTORAL ASSOCIATE/DATA SCIENTIST</b>, <i>Koch Institute (KI) for Integrative Cancer Research-</i><i>Laboratory for Multiscale Regenerative Technologies (LMRT)</i>, to join Dr. Sangeeta Bhatia and her team in its fight to stop lung cancer. Will design experiments, manage data, and use advanced statistical, machine learning, and computational techniques to discover new targets for the design of next generation diagnostic and early detection technologies for various cancers, including protease activity-based nanosensors, with the goal of detecting and stratifying disease early enough for interception; and collaborate with various KI teams to guide the development of molecules against those targets with data-driven biomarker plans and engage with other team members who work in parallel on other tumor types and pathologic states. Responsibilities include engaging with other teams to define scientific questions that can be addressed with computational, statistical, or modeling capability; proposing analysis strategies for target discovery, helping devise statistical methods for deciding significance, and ranking schemes for integrating data from many sources; identifying protease targets and biological contexts in which the nanosensors are likely to be beneficial by mining genetic, genomic, or screening data; and developing biomarker plans in collaboration with project teams. The position offers a rare opportunity to engage in cutting-edge research in an environment that combines the best of academic support and intellectual innovation with the financial and translationally-relevant resources of working with a major pharma partner.<br/> <br/> Additional information is available at https://lmrt.mit.edu/. </p>, <p><b>Job Requirements</b><br/> <b> </b></p>, <p><i>REQUIRED</i>: Ph.D. in a computational biophysics or bioinformatics-related field; strong communication, presentation, interpersonal, and collaboration skills; successful record of collaborating with cross-functional project teams; demonstrated ability to lead projects of moderate scope and map out critical path, milestones and timelines; and careful attention to detail. <b>Job #16685</b></p>]	MA			Education and Schools	0	0	1	0	0	0	0	0	0	1	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1
20	innovationOchsner (iO) - Data Scientist - Benson Tower	https://www.indeed.com/rc/clk?jk=1ab50cdc801e4dad&fccid=ef34ff29d760a6f2&vjs=3	<80000	data_scientist	[‘AI’, ‘Data Mining’, ‘Machine Learning’, ‘R’, ‘Natural Language Processing’, ‘Data Science’, ‘Python’]	7	Ochsner Health System	1299	3.9	30	[<p><b>We’ve made a lot of progress since opening the doors in 1942, but one thing has never changed - our commitment to serve, heal, lead, educate, </b><b>and innovate. We believe </b><b>that every award earned, every record broken and every patient helped is because of the dedicated employees who fill our hallways. </b></p>, <p><b>At Ochsner, whether you work with patients </b><b>every day </b><b>or support those who do, you are making a difference and that matters. Come make a difference at Ochsner Health System and discover your future today! </b></p>, <p>innovationOchsner (iO) is looking for a Data Scientist to join its entrepreneurial, multi-disciplinary and mission-focused team that is shaping the future of healthcare. iO is an innovation lab within Ochsner Health System, Louisiana’s largest not-for-profit health system. iO’s mission is to reimagine and revolutionize the delivery and experience of healthcare and dramatically improve health outcomes using technology, data and new thinking, with a focus on digital health, advanced analytics and precision medicine. Its work includes the O Bar, Digital Medicine, Optimal Hospital, Connected MOM, and numerous machine leaning and AI applications, and has been recognized by the ONC, Harvard Medical School and Harvard Business School, Microsoft and Apple, among others. </p>, <p>Partnering with Epic and Microsoft, Ochsner is one of the first healthcare systems in the country to apply artificial intelligence technology and machine learning to proactively treat patients in real time and save more lives. Watch Now </p>, <p>The Data Scientist will have the opportunity to utilize clinical and operational data from a standardized and consolidated database, a rarity at most health systems. Ochsner has a track record of moving quickly and implementing standardized workflows across the entire health system, and as a result, it drastically reduces the time it takes to extract meaningful data for analysis. The Data Scientist will use this data to develop computational algorithms, statistical tools, predictive models, and/or web applications that can drive operational efficiencies and save patients’ lives. Ochsner is interested in affecting change and driving outcomes. Candidates should be process-driven, detail-oriented, hands on, opinionated, a fast learner and passionate about technology and healthcare. </p>, <p><b>Education </b></p>, <ul><li>Required – Bachelor’s Degree in data analytics, computer science, mathematics, statistics, economics, or related field. </li><li>Preferred – Master’s Degree in data analytics, computer science, mathematics, statistics, economics, or related field. </li></ul>, <p><b>Work Experience </b></p>, <ul><li>Required – 1-3 year data analytics </li><li>Preferred – 3-5 years data analytics </li></ul>, <p><b>Knowledge Skills and Abilities (KSAs) </b></p>, <ul><li>Supervised modeling such as logistic regression, decision trees, SVM, neural networks. </li><li>NLP, text mining </li><li>Python and R, SQL-like query languages. </li><li>Deploying models using web services. </li><li>Effective verbal and written communication skills and the ability to present information clearly and professionally. </li><li>Must be proficient with Windows-style applications, various software packages specific to the role. </li></ul>, <p><b>Job Duties </b></p>, <ul><li>Develop and implement new machine learning models to be used in clinical, operational, and corporate areas. </li><li>Drive the collection of new data and the refinement of existing data sources. </li><li>Research new methods to improve machine learning algorithms. </li><li>Perform studies to gain deeper understanding of how patients and employees interact with the health system. </li><li>Other related duties as required. </li></ul>, <p>The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added, or this description amended at any time. </p>, <p>Ochsner is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. </p>, <p><b>Physical and Environmental Demands </b></p>, <p>The physical essential functions of this job include (but are not limited to) the following: Frequently exerting 10 to 20 pounds of force to move objects; occasionally exerting up to 100 pounds of force. Physical demand requirements are in excess of those for sedentary work. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. </p>, <p><b>Are you ready to make a difference at Ochsner and live our values of Patient’s First, Compassion, Integrity, Excellence, & Teamwork? </b></p>, <p><b><i>Ochsner Health System endeavors to make our site accessible to all users. If you would like to contact us regarding the accessibility of our website, or if you need an accommodation to complete the application process, please contact our HR Employee Service Center at 504-842-4748 (select option 1) or </i></b><b><i>careers@ochsner.org </i></b><b><i>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. </i></b></p>, <p><b><i>EEO is the Law links in </i></b><b><i>English </i></b><b><i>or </i></b><b><i>Spanish </i></b><b><i>. </i></b></p>, <p><b><i>Affirmative Action Policy Statement</i></b></p>]	LA		10,000+	Health Care	1	0	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0
21	Statistician/Data Scientist	https://www.indeed.com/rc/clk?jk=7ef6bcd4c1cb7dcd&fccid=aa53b551f9df0210&vjs=3	<80000	data_scientist	[‘IIS’, ‘TS/SCI Clearance’]	2	Raytheon	3166	4.0	30	[<p>Raytheon is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.</p>]	MO	More than $10B (USD)	10,000+	Aerospace and Defense	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1
22	Statistician / Data Scientist	https://www.indeed.com/rc/clk?jk=e265edb0bb163a18&fccid=aa53b551f9df0210&vjs=3	<80000	data_scientist	[‘IIS’, ‘TS/SCI Clearance’]	2	Raytheon	3166	4.0	30	[<p>Raytheon is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.</p>]	MO	More than $10B (USD)	10,000+	Aerospace and Defense	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1
23	Environmental Data Scientist, Bureau of Environmental Survei…	https://www.indeed.com/rc/clk?jk=36b066c2b1fcad50&fccid=4146d8487cdbf799&vjs=3	<80000	data_scientist	[‘Statistical Software’, ‘SAS’, ‘SQL’, ‘Tableau’]	4	NYC Careers	265	4.1	30		NY			Government	0	1	0	0	0	1	1	0	0	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	1
24	Environmental Data Manager/Data Scientist (Associate Level)	https://www.indeed.com/rc/clk?jk=15f179f4a2c91e25&fccid=3f0d5695925aa6ba&vjs=3	<80000	data_scientist	[‘Microsoft SQL Server’, ‘Data Management’, ‘Power BI’, ‘CAD Software’, ‘SQL’, ‘Microsoft Access’, ‘SharePoint’, ‘ArcGIS’]	8	ERM Group	86	3.3	15	[<p><b>ERM </b>is seeking an <b>Environmental Data Manager/Data Scientist </b>in the Southeastern United States. The ideal candidate will be self-motivated, detail-oriented, and interested in a career involving analytical data management, database programming, or data science. As part of our team, you will work on large environmental projects across North America, and support ERM’s projects worldwide. </p>, <p><b>RESPONSIBILITIES: </b></p>, <ul><li>Integrate data from laboratory, field, and historical sources into ERM’s EQuIS™ databases and other systems. </li><li>Work with project teams to plan sampling campaigns and deliverable schedules, provide query/reporting support, and develop reporting dashboards. </li><li>Design, develop, test, and maintain SQL Server tables, queries, functions, views, and stored procedures to support ad-hoc user reporting requests and troubleshooting. </li><li>Work with ERM’s various Technical Communities to develop new data services. </li><li>Interact and maintain successful relationships with clients, ERM employees, and subcontractors. </li><li>Perform and manage multiple tasks within scope/budget/schedule expectations and ensure quality standards on project deliverables. </li></ul>, <p><b>REQUIREMENTS: </b></p>, <ul><li>BS/BA degree in a related field. </li><li>5+ years of previous work experience in environmental data management with strong analytical/database skills, or clear aptitude for data science. Experience with data modeling and SQL is preferred. </li><li>A background in chemistry, or experience with laboratory analytical databases (LIMS) and data validation is a plus. </li><li>Experience with the following applications is preferred: EarthSoft’s EQuIS™ (and all included modules); Microsoft Access, Excel (intermediate to advance), SQL Server, and Sharepoint. Familiarity with ArcGIS and AutoCAD, as well as geological visualization tools like EnviroInsite, LeapFrog, gINT and RockWorks is a plus. </li><li>Experience with Dashboard tools (Power BI, EQuIS™ Enterprise) is preferred. </li><li>Strong organizational and communication skills are required. </li></ul>, <p>Please submit your resume and brief cover letter. Qualified candidates will be contacted by email, and requested to complete a video questionnaire. Based on review of these responses, shortlisted candidates will be invited for interviews. </p>, <p>Thank you for your interest in ERM! </p>, <p>ERM does not accept recruiting agency resumes. Please do not forward resumes to our jobs alias, ERM employees or any other company location. ERM is not responsible for any fees related to unsolicited resumes.</p>]	GA			Consulting and Business Services	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0
25	Sr. Data Scientist - Secret	https://www.indeed.com/rc/clk?jk=9bad8e7ecfd34847&fccid=9e215d88a6b33622&vjs=3	<80000	data_scientist	[‘Data Mining’, ‘R’, ‘Python’]	3	Deloitte	7197	4.0	30	[<ul><li><div>Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms</div></li> <li><div>Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions</div></li> <li><div>Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements</div></li></ul>, <p>As used in this posting, “Deloitte” means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.</p>, <p> All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.</p>]	VA		10,000+	Consulting and Business Services	1	0	0	1	0	0	0	0	0	1	0	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0
26	innovation Ochsner - iO - Data Scientist - Benson Tower	https://www.indeed.com/rc/clk?jk=637c5cf376758bf0&fccid=ef34ff29d760a6f2&vjs=3	<80000	data_scientist	[‘AI’, ‘Data Mining’, ‘Machine Learning’, ‘R’, ‘Natural Language Processing’, ‘Data Science’, ‘Python’]	7	Ochsner Health System	1299	3.9	30	[<p><b>We’ve made a lot of progress since opening the doors in 1942, but one thing has never changed - our commitment to serve, heal, lead, educate, </b><b>and innovate. We believe </b><b>that every award earned, every record broken and every patient helped is because of the dedicated employees who fill our hallways. </b></p>, <p><b>At Ochsner, whether you work with patients </b><b>every day </b><b>or support those who do, you are making a difference and that matters. Come make a difference at Ochsner Health System and discover your future today! </b></p>, <p>innovationOchsner (iO) is looking for a Data Scientist to join its entrepreneurial, multi-disciplinary and mission-focused team that is shaping the future of healthcare. iO is an innovation lab within Ochsner Health System, Louisiana’s largest not-for-profit health system. iO’s mission is to reimagine and revolutionize the delivery and experience of healthcare and dramatically improve health outcomes using technology, data and new thinking, with a focus on digital health, advanced analytics and precision medicine. Its work includes the O Bar, Digital Medicine, Optimal Hospital, Connected MOM, and numerous machine leaning and AI applications, and has been recognized by the ONC, Harvard Medical School and Harvard Business School, Microsoft and Apple, among others. </p>, <p>Partnering with Epic and Microsoft, Ochsner is one of the first healthcare systems in the country to apply artificial intelligence technology and machine learning to proactively treat patients in real time and save more lives. Watch Now </p>, <p>The Data Scientist will have the opportunity to utilize clinical and operational data from a standardized and consolidated database, a rarity at most health systems. Ochsner has a track record of moving quickly and implementing standardized workflows across the entire health system, and as a result, it drastically reduces the time it takes to extract meaningful data for analysis. The Data Scientist will use this data to develop computational algorithms, statistical tools, predictive models, and/or web applications that can drive operational efficiencies and save patients’ lives. Ochsner is interested in affecting change and driving outcomes. Candidates should be process-driven, detail-oriented, hands on, opinionated, a fast learner and passionate about technology and healthcare. </p>, <p>Education </p>, <ul><li>Required – Bachelor’s Degree in data analytics, computer science, mathematics, statistics, economics, or related field. </li><li>Preferred – Master’s Degree in data analytics, computer science, mathematics, statistics, economics, or related field. </li></ul>, <p>Work Experience </p>, <ul><li>Preferred – 3-5 years data analytics </li></ul>, <p>Knowledge Skills and Abilities (KSAs) </p>, <ul><li>Supervised modeling such as logistic regression, decision trees, SVM, neural networks. </li><li>NLP, text mining </li><li>Python and R, SQL-like query languages. </li><li>Deploying models using web services. </li><li>Effective verbal and written communication skills and the ability to present information clearly and professionally. </li><li>Must be proficient with Windows-style applications, various software packages specific to the role. </li></ul>, <p>Job Duties </p>, <ul><li>Develop and implement new machine learning models to be used in clinical, operational, and corporate areas. </li><li>Drive the collection of new data and the refinement of existing data sources. </li><li>Research new methods to improve machine learning algorithms. </li><li>Perform studies to gain deeper understanding of how patients and employees interact with the health system. </li><li>Other related duties as required. </li></ul>, <p>The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added, or this description amended at any time. </p>, <p>Ochsner is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. </p>, <p>Physical and Environmental Demands </p>, <p>The physical essential functions of this job include (but are not limited to) the following: Frequently exerting 10 to 20 pounds of force to move objects; occasionally exerting up to 100 pounds of force. Physical demand requirements are in excess of those for sedentary work. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. </p>, <p><b>Are you ready to make a difference at Ochsner and live our values of Patient’s First, Compassion, Integrity, Excellence, & Teamwork? </b></p>, <p><b><i>Ochsner Health System endeavors to make our site accessible to all users. If you would like to contact us regarding the accessibility of our website, or if you need an accommodation to complete the application process, please contact our HR Employee Service Center at 504-842-4748 (select option 1) or </i></b><b><i>careers@ochsner.org </i></b><b><i>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. </i></b></p>, <p><b><i>EEO is the Law links in </i></b><b><i>English </i></b><b><i>or </i></b><b><i>Spanish </i></b><b><i>. </i></b></p>, <p><b><i>Affirmative Action Policy Statement</i></b></p>]	LA		10,000+	Health Care	1	0	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0
27	Google AI Resident, 2019 Start (Fixed-Term Employee)	https://www.indeed.com/rc/clk?jk=2ddc548ea3f366de&fccid=a5b4499d9e91a5c6&vjs=3	<80000	data_scientist		0	Google	2641	4.3	21	[<ul><li> We are accepting applications until January 28, 2019.</li><li> Our team will review applications on a rolling basis and interviews will begin in November 2018. It is in your best interest to submit your application early.</li><li> The Google AI Residency Program will have 3 start dates over the course of 5 months, from June to October 2019. Exact dates are yet to be determined.</li></ul>, <p><b> About the Program:</b><br/> The Google AI Residency Program is a 12-month role designed to advance your career in machine learning research. The goal of the residency is to help residents become productive and successful AI researchers.</p>, <p>As part of this program, Residents collaborate with distinguished scientists from various Google AI teams working on machine learning applications and problems. Residents have the opportunity to do everything from conducting fundamental research to contributing to products and services used by billions of people. We also encourage our Residents to publish their work externally. Take a look at the impactful research done by earlier cohorts.</p>, <p><b>Please note that by applying to this job, you may be considered for all of the locations: </b>Bay Area (Mountain View and San Francisco), New York City, Cambridge (Massachusetts), Montreal and Toronto, Canada, Seattle (Washington State), Accra (Ghana), Tel Aviv (Israel) and Zurich (Switzerland). Residents are placed based on interest, project fit, location preference and team needs. All are expected to work on site.</p>, <p>We encourage candidates from all over the world to apply. You may have research experience in another field (e.g. human-computer interaction, mathematics, physics, bioinformatics, etc.) and want to apply machine learning to this area, or have limited research experience but a strong desire to learn more. Current students will need to graduate from their degree program (BS/MS/PhD) before the residency begins. If a candidate requires work authorization for a location, Google will explore the available options on a case-by-case basis.</p>, <p>Your application should show evidence of proficiency in programming and in prerequisite courses (e.g., machine learning, user-centered interfaces or applications, data science, mathematical analysis). This can be demonstrated through links to open-source projects, notable performances in competitions, publications and blog posts, or projects that showcase implementation of one or more novel learning algorithms.</p>, <p><b> To start the application process,</b> click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):</p>, <p><b> </b>In the “Resume Section:” attach an updated CV or resume.<br/> <b>2. </b>In the “Cover letter/other notes Section:” Copy and paste a cover letter which <b>must</b> include answers to the following questions:</p>, <ul><li> What are your primary research interests and why do you think they are important?</li><li> How would participating in the AI Residency help you to explore your research interests and achieve your goals?</li><li> Give an example of an open-ended research question or project you’ve worked on. What made it challenging and how did you overcome those challenges? Alternatively, summarize and critique a machine learning paper you have read that you found interesting.</li></ul>, <p><b> **Although cover letters are optional for most job applications at Google (as noted on the website), it is a mandatory component for this application. Complete applications (cover letters included) will be prioritized for review over incomplete applications.</b></p>, <p><b> </b>In the “Education Section:” attach a current or recent unofficial or official transcript in English if you have graduated in the last three years.</p>, <ul><li> Under “Degree Status,” select “Now attending” to upload a transcript.</li></ul>, <ul><li>Please note that we will ask you to provide a Letter of Recommendation once you have passed the initial Hangouts interview.</li></ul>, <p> There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We’re constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We’re providing users around the world with great search results every day, but at Google, great just isn’t good enough. We’re just getting started.</p>, <ul><li>Work with research mentors to formulate research project(s) and/or novel application(s) of machine learning.</li><li> Conduct research and publish it in competitive venues.</li><li> Implement algorithms, experiments and/or human-computer interfaces using frameworks such as TensorFlow.</li><li> Learn and understand a large body of research in machine learning algorithms.</li></ul>, <ul> <li>BS degree or equivalent practical experience in a STEM field such as Computer Science, Mathematics, or Statistics.</li> <li>Completed coursework in statistics, algorithms, calculus, linear algebra, or probability (or their equivalent).</li> <li>Experience with one or more general purpose programming languages, including but not limited to: Python or C/C++</li> <li>Experience with machine learning; or applications of machine learning to NLP, human-computer interaction, computer vision, speech, computer systems, robotics, algorithms, optimization, on-device learning, social networks, economics, information retrieval, journalism, or health care.</li> </ul>, <ul> <li>Research experience in machine learning or deep learning (e.g. links to open-source work or link to novel learning algorithms). </li><li>Open-source project experience that demonstrates programming, mathematical, and machine learning abilities and interests.</li> </ul>]	NY	More than $10B (USD)	10,000+	Internet and Software	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0
28	Google AI Resident, 2019 Start (Fixed-Term Employee)	https://www.indeed.com/rc/clk?jk=d5ad56e19ff35459&fccid=a5b4499d9e91a5c6&vjs=3	<80000	data_scientist		0	Google	2641	4.3	21	[<ul><li> We are accepting applications until January 28, 2019.</li><li> Our team will review applications on a rolling basis and interviews will begin in November 2018. It is in your best interest to submit your application early.</li><li> The Google AI Residency Program will have 3 start dates over the course of 5 months, from June to October 2019. Exact dates are yet to be determined.</li></ul>, <p><b> About the Program:</b><br/> The Google AI Residency Program is a 12-month role designed to advance your career in machine learning research. The goal of the residency is to help residents become productive and successful AI researchers.</p>, <p>As part of this program, Residents collaborate with distinguished scientists from various Google AI teams working on machine learning applications and problems. Residents have the opportunity to do everything from conducting fundamental research to contributing to products and services used by billions of people. We also encourage our Residents to publish their work externally. Take a look at the impactful research done by earlier cohorts.</p>, <p><b>Please note that by applying to this job, you may be considered for all of the locations: </b>Bay Area (Mountain View and San Francisco), New York City, Cambridge (Massachusetts), Montreal and Toronto, Canada, Seattle (Washington State), Accra (Ghana), Tel Aviv (Israel) and Zurich (Switzerland). Residents are placed based on interest, project fit, location preference and team needs. All are expected to work on site.</p>, <p>We encourage candidates from all over the world to apply. You may have research experience in another field (e.g. human-computer interaction, mathematics, physics, bioinformatics, etc.) and want to apply machine learning to this area, or have limited research experience but a strong desire to learn more. Current students will need to graduate from their degree program (BS/MS/PhD) before the residency begins. If a candidate requires work authorization for a location, Google will explore the available options on a case-by-case basis.</p>, <p>Your application should show evidence of proficiency in programming and in prerequisite courses (e.g., machine learning, user-centered interfaces or applications, data science, mathematical analysis). This can be demonstrated through links to open-source projects, notable performances in competitions, publications and blog posts, or projects that showcase implementation of one or more novel learning algorithms.</p>, <p><b> To start the application process,</b> click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):</p>, <p><b> </b>In the “Resume Section:” attach an updated CV or resume.<br/> <b>2. </b>In the “Cover letter/other notes Section:” Copy and paste a cover letter which <b>must</b> include answers to the following questions:</p>, <ul><li> What are your primary research interests and why do you think they are important?</li><li> How would participating in the AI Residency help you to explore your research interests and achieve your goals?</li><li> Give an example of an open-ended research question or project you’ve worked on. What made it challenging and how did you overcome those challenges? Alternatively, summarize and critique a machine learning paper you have read that you found interesting.</li></ul>, <p><b> **Although cover letters are optional for most job applications at Google (as noted on the website), it is a mandatory component for this application. Complete applications (cover letters included) will be prioritized for review over incomplete applications.</b></p>, <p><b> </b>In the “Education Section:” attach a current or recent unofficial or official transcript in English if you have graduated in the last three years.</p>, <ul><li> Under “Degree Status,” select “Now attending” to upload a transcript.</li></ul>, <ul><li>Please note that we will ask you to provide a Letter of Recommendation once you have passed the initial Hangouts interview.</li></ul>, <p> There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We’re constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We’re providing users around the world with great search results every day, but at Google, great just isn’t good enough. We’re just getting started.</p>, <ul><li>Work with research mentors to formulate research project(s) and/or novel application(s) of machine learning.</li><li> Conduct research and publish it in competitive venues.</li><li> Implement algorithms, experiments and/or human-computer interfaces using frameworks such as TensorFlow.</li><li> Learn and understand a large body of research in machine learning algorithms.</li></ul>, <ul> <li>BS degree or equivalent practical experience in a STEM field such as Computer Science, Mathematics, or Statistics.</li> <li>Completed coursework in statistics, algorithms, calculus, linear algebra, or probability (or their equivalent).</li> <li>Experience with one or more general purpose programming languages, including but not limited to: Python or C/C++</li> <li>Experience with machine learning; or applications of machine learning to NLP, human-computer interaction, computer vision, speech, computer systems, robotics, algorithms, optimization, on-device learning, social networks, economics, information retrieval, journalism, or health care.</li> </ul>, <ul> <li>Research experience in machine learning or deep learning (e.g. links to open-source work or link to novel learning algorithms). </li><li>Open-source project experience that demonstrates programming, mathematical, and machine learning abilities and interests.</li> </ul>]	MA	More than $10B (USD)	10,000+	Internet and Software	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	0	0
29	Data Analysis & Machine Learning Postdoctoral Researcher	https://www.indeed.com/rc/clk?jk=fbe8ba212a66f66c&fccid=26727f1861532c63&vjs=3	<80000	data_scientist	[‘TensorFlow’, ‘Machine Learning’, ‘Git’, ‘Python’, ‘SVN’]	5	Lawrence Livermore National Laboratory	111	4.3	2	[<p><b><i>Science and Technology on a Mission!</i></b></p>, <p> For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place.</p>, <p>We are looking for a Postdoctoral Researcher to perform research in the area of data analysis and machine learning with a goal to develop new techniques, analyze and steer multi-scale simulations in a large-scale parallel workflow. You will work with a multi-disciplinary team in computational biology, parallel computation, computer science and mathematics to research, implement, and apply machine learning approaches to computational cancer research. You will also have opportunities to contribute to additional research projects, ranging from high energy physics to brain research and fundamental machine learning to information visualization. This position is in the Computation Directorate within the Center for Applied Scientific Computing (CASC) Division.</p>, <ul><li>Conduct independent research and development in one or more areas of computer science of interest to CASC (machine learning, large-scale workflows, adaptive sampling, information visualization).</li><li>Develop software to evaluate novel computational techniques.</li><li>Participate in the establishment of future research directions and contribute to group grant proposals, including proposal presentations and preparation of proposals that will provide future research opportunities in the field.</li><li>Document research by publishing papers in peer-reviewed media and presenting papers within the DOE community and at conferences.</li><li>Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to define and carry out the research.</li><li>Perform other duties as assigned.</li></ul>, <ul><li>PhD in Computer Science or a related field.</li><li>Experience in modern machine learning environments (TensorFlow, Keras, etc.).</li><li>Experience in machine learning, statistics, adaptive sampling information visualization or a related field.</li><li>Experience in python.</li><li>Experience with UNIX tools, version control (subversion, git).</li><li>Demonstrated ability to conduct high quality research and to develop implementations to evaluate the results.</li><li>Effective verbal and written communication skills necessary to interact with a multi-disciplinary research team, author technical and scientific reports and papers, and deliver scientific presentations.</li></ul>, <ul><li>Experience in application development.</li><li>Experience working with parallel applications and workflow tools (job submission, batch scripts, etc.).</li><li>Experience in molecular dynamics simulations, computational biology, or related application areas.</li></ul>, <p><b>Pre-Employment Drug Test:</b> External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.</p>, <p><b>Security Clearance:</b> None required.</p>, <p><b>Note:</b> This is a one year Postdoctoral appointment with the possibility of extension to a maximum of three years. Eligible candidates are recent PhDs within five years of the month of the degree award at time of hire date.</p>, <p><b>About Us</b></p>, <p> Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL’s mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $1.8 billion, employing approximately 6,500 employees.</p>, <p> LLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law.</p>]	CA	$1B to $5B (USD)	Less than 10,000	Government	1	0	1	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1
30	Applied Machine Learning Scientist - Digital Imaging	https://www.indeed.com/rc/clk?jk=25c78fd15a1225c6&fccid=f89deb5a97c7738a&vjs=3	<80000	data_scientist	[‘TensorFlow’, ‘JavaScript’, ‘React’, ‘Data Mining’, ‘Adobe Photoshop’, ‘Machine Learning’, ‘CSS’, ‘HTML5’]	8	Adobe	484	4.3	30	[<p>Adobe Photoshop is used by over 90% of the world’s creative professionals to bring what they imagine to life. Join our team – a startup inside Adobe – as we reimagine it to create a next generation tool that empowers everyone to simply, easily create the stunning images and designs they imagine. </p>, <p>We’re seeking an Applied Machine Learning Scientist to discover and build machine learning workflows from noisy data on a large scale. We’re a product research team with strong organizational support. Our team is relatively small, but growing. We’re using lean app development principles — iterating fast and incorporating extensive user testing — to stay focused on solving real customer problems and to experiment with new ideas. Our process is highly collaborative and there is plenty of room to make a big impact. </p>, <p>You’ll work closely with the other team members to help build data collection & ML-retraining workflows based on user need and business impact. You’ll study user behavior and data, make hypotheses, and conduct experiments. You’ll then apply learnings to build real user workflows in the application that capture the best data possible to enhance our ML-backed creative imaging features and algorithms. </p>, <p><b>Job Requirements </b></p>, <ul><li>Creative problem solving; independent (and team!) thinking; great communication skills </li><li>Strong foundation in ML fundamentals </li><li>Data mining & Analytics </li><li>Experience with scikit-learn (or similar) packages </li><li>Familiarity with ML Frameworks (TensorFlow, Keras, etc) </li><li>Solid Javascript/HTML/CSS & ability to craft nice UX </li></ul>, <p><b>Nice To Haves </b></p>, <ul><li>Experience with Deep Learning, Neural Networks </li><li>Experience with React (other Js Frameworks, too), ES6 </li></ul>, <p>At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists . You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. </p>, <p>If you’re looking to make an impact, Adobe’s the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. </p>, <p>Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age , sexual orientation, gender identity, disability or veteran status.</p>]	CA	$5B to $10B (USD)	10,000+	Internet and Software	0	0	1	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
31	Machine Learning Scientist	https://www.indeed.com/rc/clk?jk=a4ad7885c2d9e171&fccid=485155ca34f4e0c7&vjs=3	<80000	data_scientist	[‘TensorFlow’, ‘Machine Learning’, ‘R’, ‘Python’, ‘C/C++’, ‘SQL’]	6	Intuitive Surgical	95	3.8	30	[<p><b>Company Description:</b></p>, <p> Who is Intuitive Surgical? The numbers tell an amazing story. Learn more about our company.</p>, <ul><li>Exploration and development of machine learning algorithms for spatiotemporal analysis, including multiclass classification, clustering, temporal segmentation, sequence labeling, and spatial segmentation.</li></ul>, <ul><li>Development of new technologies and digital products to improve surgeon and team performance on robotic surgery platforms.</li></ul>, <ul><li>Support academic collaborations in related fields.</li></ul>, <ul><li>Contributing to multiple areas of research, including but not limited to the following:</li></ul>, <ul><li>Establishing strong academic collaborations across research disciplines</li></ul>, <ul><li>Presenting research at international conferences and publishing research in top academic journals</li></ul>, <ul><li>Doctoral degree in Computer Science, Statistics, Applied Mathematics, or Neuroscience, or Master’s degree with minimum 3 years industry experience developing machine learning applications</li></ul>, <ul><li>Demonstrate excellent communication skills both written and verbal </li></ul>, <ul><li>Interested in early research and development through to product roll-out</li></ul>, <ul><li>Solid understanding of statistics, machine learning, and deep learning algorithms and techniques is required</li></ul>, <ul><li>Experience with sequence modeling, image analysis, and/or temporal segmentation on real-world data is required</li></ul>, <ul><li>Experience with Python and C/C++ is required</li></ul>, <ul><li>Hands-on experience with deep learning frameworks such as Tensorflow, Theano, Caffe, and/or Torch is required</li></ul>, <ul><li>Hands-on experience with CNNs, RNNs, and LSTMs is ideal</li></ul>, <ul><li>Experience with R, SQL is ideal</li></ul>, <ul><li>Experience with clinical studies is a plus</li></ul>, <ul><li>Ability to travel domestically and internationally (5-15%)</li></ul>]	GA				1	1	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
32	Google AI Resident, 2019 Start (Fixed-Term Employee)	https://www.indeed.com/rc/clk?jk=83bb741f685c3d95&fccid=a5b4499d9e91a5c6&vjs=3	<80000	data_scientist		0	Google	2641	4.3	21	[<ul><li> We are accepting applications until January 28, 2019.</li><li> Our team will review applications on a rolling basis and interviews will begin in November 2018. It is in your best interest to submit your application early.</li><li> The Google AI Residency Program will have 3 start dates over the course of 5 months, from June to October 2019. Exact dates are yet to be determined.</li></ul>, <p><b> About the Program:</b><br/> The Google AI Residency Program is a 12-month role designed to advance your career in machine learning research. The goal of the residency is to help residents become productive and successful AI researchers.</p>, <p>As part of this program, Residents collaborate with distinguished scientists from various Google AI teams working on machine learning applications and problems. Residents have the opportunity to do everything from conducting fundamental research to contributing to products and services used by billions of people. We also encourage our Residents to publish their work externally. Take a look at the impactful research done by earlier cohorts.</p>, <p><b>Please note that by applying to this job, you may be considered for all of the locations: </b>Bay Area (Mountain View and San Francisco), New York City, Cambridge (Massachusetts), Montreal and Toronto, Canada, Seattle (Washington State), Accra (Ghana), Tel Aviv (Israel) and Zurich (Switzerland). Residents are placed based on interest, project fit, location preference and team needs. All are expected to work on site.</p>, <p>We encourage candidates from all over the world to apply. You may have research experience in another field (e.g. human-computer interaction, mathematics, physics, bioinformatics, etc.) and want to apply machine learning to this area, or have limited research experience but a strong desire to learn more. Current students will need to graduate from their degree program (BS/MS/PhD) before the residency begins. If a candidate requires work authorization for a location, Google will explore the available options on a case-by-case basis.</p>, <p>Your application should show evidence of proficiency in programming and in prerequisite courses (e.g., machine learning, user-centered interfaces or applications, data science, mathematical analysis). This can be demonstrated through links to open-source projects, notable performances in competitions, publications and blog posts, or projects that showcase implementation of one or more novel learning algorithms.</p>, <p><b> To start the application process,</b> click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):</p>, <p><b> </b>In the “Resume Section:” attach an updated CV or resume.<br/> <b>2. </b>In the “Cover letter/other notes Section:” Copy and paste a cover letter which <b>must</b> include answers to the following questions:</p>, <ul><li> What are your primary research interests and why do you think they are important?</li><li> How would participating in the AI Residency help you to explore your research interests and achieve your goals?</li><li> Give an example of an open-ended research question or project you’ve worked on. What made it challenging and how did you overcome those challenges? Alternatively, summarize and critique a machine learning paper you have read that you found interesting.</li></ul>, <p><b> **Although cover letters are optional for most job applications at Google (as noted on the website), it is a mandatory component for this application. Complete applications (cover letters included) will be prioritized for review over incomplete applications.</b></p>, <p><b> </b>In the “Education Section:” attach a current or recent unofficial or official transcript in English if you have graduated in the last three years.</p>, <ul><li> Under “Degree Status,” select “Now attending” to upload a transcript.</li></ul>, <ul><li>Please note that we will ask you to provide a Letter of Recommendation once you have passed the initial Hangouts interview.</li></ul>, <p> There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We’re constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We’re providing users around the world with great search results every day, but at Google, great just isn’t good enough. We’re just getting started.</p>, <ul><li>Work with research mentors to formulate research project(s) and/or novel application(s) of machine learning.</li><li> Conduct research and publish it in competitive venues.</li><li> Implement algorithms, experiments and/or human-computer interfaces using frameworks such as TensorFlow.</li><li> Learn and understand a large body of research in machine learning algorithms.</li></ul>, <ul> <li>BS degree or equivalent practical experience in a STEM field such as Computer Science, Mathematics, or Statistics.</li> <li>Completed coursework in statistics, algorithms, calculus, linear algebra, or probability (or their equivalent).</li> <li>Experience with one or more general purpose programming languages, including but not limited to: Python or C/C++</li> <li>Experience with machine learning; or applications of machine learning to NLP, human-computer interaction, computer vision, speech, computer systems, robotics, algorithms, optimization, on-device learning, social networks, economics, information retrieval, journalism, or health care.</li> </ul>, <ul> <li>Research experience in machine learning or deep learning (e.g. links to open-source work or link to novel learning algorithms). </li><li>Open-source project experience that demonstrates programming, mathematical, and machine learning abilities and interests.</li> </ul>]	CA	More than $10B (USD)	10,000+	Internet and Software	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
33	Data Scientist/Sr. Scientific Programmer (Researcher 6)	https://www.indeed.com/rc/clk?jk=5fe3136ede9ececa&fccid=5c42f0ed4ae5b712&vjs=3	<80000	data_scientist	[‘Machine Learning’, ‘Scripting’, ‘R’, ‘Perl’, ‘SQL’, ‘MATLAB’, ‘Python’]	7	University of Minnesota	930	4.2	30		MN			Education and Schools	1	1	1	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1
34	Google AI Resident, 2019 Start (Fixed-Term Employee)	https://www.indeed.com/rc/clk?jk=db37806307dade6d&fccid=a5b4499d9e91a5c6&vjs=3	<80000	data_scientist		0	Google	2641	4.3	21	[<ul><li> We are accepting applications until January 28, 2019.</li><li> Our team will review applications on a rolling basis and interviews will begin in November 2018. It is in your best interest to submit your application early.</li><li> The Google AI Residency Program will have 3 start dates over the course of 5 months, from June to October 2019. Exact dates are yet to be determined.</li></ul>, <p><b> About the Program:</b><br/> The Google AI Residency Program is a 12-month role designed to advance your career in machine learning research. The goal of the residency is to help residents become productive and successful AI researchers.</p>, <p>As part of this program, Residents collaborate with distinguished scientists from various Google AI teams working on machine learning applications and problems. Residents have the opportunity to do everything from conducting fundamental research to contributing to products and services used by billions of people. We also encourage our Residents to publish their work externally. Take a look at the impactful research done by earlier cohorts.</p>, <p><b>Please note that by applying to this job, you may be considered for all of the locations: </b>Bay Area (Mountain View and San Francisco), New York City, Cambridge (Massachusetts), Montreal and Toronto, Canada, Seattle (Washington State), Accra (Ghana), Tel Aviv (Israel) and Zurich (Switzerland). Residents are placed based on interest, project fit, location preference and team needs. All are expected to work on site.</p>, <p>We encourage candidates from all over the world to apply. You may have research experience in another field (e.g. human-computer interaction, mathematics, physics, bioinformatics, etc.) and want to apply machine learning to this area, or have limited research experience but a strong desire to learn more. Current students will need to graduate from their degree program (BS/MS/PhD) before the residency begins. If a candidate requires work authorization for a location, Google will explore the available options on a case-by-case basis.</p>, <p>Your application should show evidence of proficiency in programming and in prerequisite courses (e.g., machine learning, user-centered interfaces or applications, data science, mathematical analysis). This can be demonstrated through links to open-source projects, notable performances in competitions, publications and blog posts, or projects that showcase implementation of one or more novel learning algorithms.</p>, <p><b> To start the application process,</b> click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):</p>, <p><b> </b>In the “Resume Section:” attach an updated CV or resume.<br/> <b>2. </b>In the “Cover letter/other notes Section:” Copy and paste a cover letter which <b>must</b> include answers to the following questions:</p>, <ul><li> What are your primary research interests and why do you think they are important?</li><li> How would participating in the AI Residency help you to explore your research interests and achieve your goals?</li><li> Give an example of an open-ended research question or project you’ve worked on. What made it challenging and how did you overcome those challenges? Alternatively, summarize and critique a machine learning paper you have read that you found interesting.</li></ul>, <p><b> **Although cover letters are optional for most job applications at Google (as noted on the website), it is a mandatory component for this application. Complete applications (cover letters included) will be prioritized for review over incomplete applications.</b></p>, <p><b> </b>In the “Education Section:” attach a current or recent unofficial or official transcript in English if you have graduated in the last three years.</p>, <ul><li> Under “Degree Status,” select “Now attending” to upload a transcript.</li></ul>, <ul><li>Please note that we will ask you to provide a Letter of Recommendation once you have passed the initial Hangouts interview.</li></ul>, <p> There is always more information out there, and the Research and Machine Intelligence team has a never-ending quest to find it and make it accessible. We’re constantly refining our signature search engine to provide better results, and developing offerings like Google Instant, Google Voice Search and Google Image Search to make it faster and more engaging. We’re providing users around the world with great search results every day, but at Google, great just isn’t good enough. We’re just getting started.</p>, <ul><li>Work with research mentors to formulate research project(s) and/or novel application(s) of machine learning.</li><li> Conduct research and publish it in competitive venues.</li><li> Implement algorithms, experiments and/or human-computer interfaces using frameworks such as TensorFlow.</li><li> Learn and understand a large body of research in machine learning algorithms.</li></ul>, <ul> <li>BS degree or equivalent practical experience in a STEM field such as Computer Science, Mathematics, or Statistics.</li> <li>Completed coursework in statistics, algorithms, calculus, linear algebra, or probability (or their equivalent).</li> <li>Experience with one or more general purpose programming languages, including but not limited to: Python or C/C++</li> <li>Experience with machine learning; or applications of machine learning to NLP, human-computer interaction, computer vision, speech, computer systems, robotics, algorithms, optimization, on-device learning, social networks, economics, information retrieval, journalism, or health care.</li> </ul>, <ul> <li>Research experience in machine learning or deep learning (e.g. links to open-source work or link to novel learning algorithms). </li><li>Open-source project experience that demonstrates programming, mathematical, and machine learning abilities and interests.</li> </ul>]	WA	More than $10B (USD)	10,000+	Internet and Software	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0
35	Machine Learning Intern (Summer 2019)	https://www.indeed.com/rc/clk?jk=e84451fb3b44e7af&fccid=aef928e89977f7f0&vjs=3	<80000	data_scientist	[‘Splunk’, ‘Data Mining’, ‘Machine Learning’, ‘Data Science’]	4	Splunk	30	4.3	30	[<p>Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!</p>, <p>Splunk is looking for highly motivated college students to join our team. As an intern, you will work on a real project (or a few) and have an opportunity to enjoy our dynamic, startup-like environment.</p>, <p> You will experience Splunking and what defines our culture while honing the skills which separate our development teams from others. Working to support internal and external customer needs, you will collaborate with multi-functional teams, receive mentorship, and gain insight into our values-driven process. Our goal is both to support your growth and development while empowering you for a successful start to your career.</p>, <p> As a <b>Machine Learning Intern </b>you will be responsible for …</p>, <ul><li> Achieving data science and software engineering goals set by you and your mentor</li><li> Learning about Splunk, both the product and the company</li><li> Working and socializing with the other interns as well as full-timers</li></ul>, <p><b>Minimum Qualifications: </b></p>, <ul><li>Strong interest in state-of-art Machine Learning techniques.</li><li> Enthusiasm for solving interesting problems</li><li> You enjoy working well with others in a fast-paced environment</li><li> You enjoy working within an agile environment</li><li> Strong communication skills, verbal and written</li></ul>, <ul><li>Hands-on experience in Machine Learning techniques, such as logistic regression, naïve Bayes, SVM, decision trees and random forests etc.</li><li> Solid understanding of statistical modeling/machine learning/ data mining</li><li> Experience programming in a large software project – at school, professionally, or in an open source context</li></ul>, <ul><li>Actively pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics or a related field, and strong record of academic achievement</li></ul>, <ul><li> The opportunity to work with a set of extraordinarily talented and dedicated peers, all the way from engineering and QA to product management and customer support. Splunk flourishes with disruption and diversity.</li><li> A constant stream of new things for you to learn and an opportunity for growth and mentorship. We believe in growing engineers through ownership and leadership opportunities. We also believe mentors help both sides of the equation.</li><li> A stable, collaborative and supportive work environment.</li></ul>, <p> We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.</p>, <p> For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.</p>]	CA		Less than 10,000	Internet and Software	0	0	1	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
36	Data Scientist (Research Director)	https://www.indeed.com/rc/clk?jk=b39eca7b4aae31b0&fccid=5793e68a003f2fb6&vjs=3	<80000	data_scientist	[‘Grant Writing’]	1	Southern Methodist University	126	4.2	30	[<ul><li><div>Design, implement, and support the Deason Center’s research agenda. Identify critical areas of opportunity for innovative criminal justice research that align with the Deason Center’s focus. Develop research models that make the Center’s data analyses useful to criminal justice practitioners and available for further study and review.</div></li> <li>Collaborate with leading criminal justice researchers in government, non-profit agencies, and universities, to develop research partnerships; formulate and implement practicable research inquiries. Assist stakeholders in implementing and documenting data-relevant policy changes.</li> <li>Work with research partners and criminal justice stakeholders to develop new projects for data collection and analysis. Write reports, articles, and policy papers on research results.</li> <li>Draft strategic documents and grant applications for research projects and collaborations. Initiate funding opportunities and work with SMU grants and development department to acquire additional funding.</li> <li>Supervise staff (law, statistics, data science, sociology and related disciplines), working on the Center’s research agenda.<br/> </li></ul>, <ul><li>Carry/lift 25 lbs.</li> <li>Sit for long periods of time<br/> </li></ul>]	TX			Education and Schools	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	1
37	Machine Learning Scientist II	https://www.indeed.com/rc/clk?jk=b0b692b299eeeac4&fccid=734cb5a01ee60f80&vjs=3	<80000	data_scientist	[‘Natural Language Processing’, ‘Hive’, ‘Spark’, ‘Microsoft Powerpoint’, ‘Machine Learning’, ‘Hadoop’, ‘MATLAB’, ‘Python’]	8	Microsoft	5178	4.2	5	[<ul><li>2+ years of experience building practical machine learning models with applications to real-world problems.</li><li>Experience with ML tools to build models and analyze data. (e.g. r, Python, Matlab, scikit-learn)</li><li>Knowledge of distributed computing systems (e.g. Spark, Hadoop, Hive, Cosmos)</li><li>Demonstrated coding skills.</li><li>Natural Language Processing experience is a plus</li><li>PhD in Computer Science or Statistics, or equivalent work experience.</li></ul>]	WA	More than $10B (USD)	10,000+	Internet and Software	1	0	1	0	1	0	0	1	0	1	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0
38	DATA SCIENTIST AND TEAM LEAD (Data Analytics Practice)	https://www.indeed.com/rc/clk?jk=0da5984107651519&fccid=686538d3cb10c608&vjs=3	<80000	data_scientist	[‘Data Mining’, ‘Statisical Analysis’, ‘Qualitative Research’]	3	Duke University and Duke University Health System	191	4.0	16	[<ul><li> Help OIT leadership build and manage the core data analytics team, including involvement in hiring, training, mentoring, and fostering talent development.</li><li> Help triage among competing opportunities for the team’s attention, balancing good operational wins for Duke with service to our research and education communities.</li><li> Leads in the research, evaluation, recommendation, and implementation of a comprehensive set of technologies/tools/processes in support of data analytics with a focus on data consistency, usability, and sustainability. Work with the IT Security Office to recommend improvements to Duke’s data governance and data management practices as may be needed over time.</li><li> Inspires students, faculty, and staff to work with modern forms of digital data and new data management technologies, and coordinates across decentralized functions to establish better intra-institutional information about our data resources and uses, improving the flow of the data itself among units.</li><li> Works with researchers and academic and operational stakeholders to identify the scientific, academic or business requirements and the expected outcome; collaborates to select the relevant sources of information; automates analysis and anomaly detection systems to provide and make efficient the continuous tracking of performance from various research and business data sources.</li><li> Works with stakeholders to provide support for a variety of data analysis needs such as:<ul><li> Identifying cases where research techniques and data, in combination with business-support analytics, can bring new value or enable predictive analyses</li><li> Use exploratory data analysis techniques to model and frame research or business scenarios that identify meaningful patterns, trends or relationships </li><li>Leverage the expertise of and work with Duke’s academic data enginee to wrangle/extract/transform/load/cleanse/integrate multiple systems and data sets </li><li>Work with academic faculty to monitor and optimize current forms of data collection and develop and integrate new forms of this collection, and to optimize the transformation of collected data into formats appropriate for analysis</li></ul></li></ul>, <ul><li> Identifying cases where research techniques and data, in combination with business-support analytics, can bring new value or enable predictive analyses</li><li> Use exploratory data analysis techniques to model and frame research or business scenarios that identify meaningful patterns, trends or relationships </li><li>Leverage the expertise of and work with Duke’s academic data enginee to wrangle/extract/transform/load/cleanse/integrate multiple systems and data sets </li><li>Work with academic faculty to monitor and optimize current forms of data collection and develop and integrate new forms of this collection, and to optimize the transformation of collected data into formats appropriate for analysis</li></ul>, <ul><li> Perform ad hoc and iterative analysis to refine informational discoveries and communicate data analysis and findings effectively</li><li> Coordinates and match makes across a range of existing and emerging academic and co-curricular programs, identifying gap opportunities for students to gain valuable experience in the process of exploring institutional or research data.</li><li> Works with the CISO, Audit, and ORI offices to ensure that the information used complies with the regulatory and security policies in place; confirms where information can be stored or what information, external to the organization, may be used.</li></ul>, <p><b>Education</b> </p>]	NC			Health Care	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0
39	DATA SCIENTIST, PROSPECT RESEARCH, MGMT & ANALYTICS-UNIV DEV…	https://www.indeed.com/rc/clk?jk=8efd80c5f5327d01&fccid=686538d3cb10c608&vjs=3	<80000	data_scientist	[‘Java’, ‘R’, ‘SAS’, ‘Python’, ‘SQL’, ‘Tableau’]	6	Duke University and Duke University Health System	191	4.0	16	[<p><b>Education</b> </p>, <p><b>Experience</b> </p>]	NC			Health Care	1	1	0	1	0	1	1	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	0
40	Senior Data Scientist, Supply Chain	https://www.indeed.com/rc/clk?jk=3e8093be990019de&fccid=a74a0fbbfa36acbd&vjs=3	<80000	data_scientist	[‘AI’, ‘Quantitative Analysis’, ‘Microsoft SQL Server’, ‘Machine Learning’, ‘Visual Basic’, ‘R’, ‘SQL’, ‘.Net’, ‘C#’, ‘Python’]	10	Coyote Logistics	165	3.6	30	[<p><b>Senior Data Scientist, Supply Chain </b></p>, <p>We are seeking an experienced Senior Data Science professional with a passion to derive value from data and insatiable curiosity to learn and try new things to join the Supply Chain Research & Innovation group in our Strategy Services department. The Supply Chain Research group at Coyote Logistics is responsible for designing, selling, and implementing Coyote’s emerging portfolio of non-transactional supply chain services. As a senior data scientist in the Supply Chain Research Group, you will play a key role in designing and implementing Coyote’s product and service portfolio in the context of its broader competitive strategy. You will do this by conducting statistical analysis, proposing supply chain solutions, developing machine learning methodologies and contributing to a variety of research activities. Primary responsibilities will also include suggesting new innovative research approaches and exploring relevant evolving technologies.<br/> </p>, <p><br/> <b>Daily Tasks & Responsibilities </b></p>, <ul><li>Creating, designing and prototyping out next-generation machine / deep learning technologies in the areas of supply chain operations (tactical and strategic), transportation science </li><li>Designing and developing effective recommendation models, features and algorithms involving user activities and interests, pattern recognition, trends </li><li>Prototype real-time updating models to predict/estimate operational levers that adds value to our business </li><li>Analyzing and designing operational solutions for projects such as vehicle routing, disruption prediction, trip recommendation, etc. </li><li>Establishing Coyote’s position as an industry thought leader through publishing articles and white papers, speaking at relevant industry conferences, and developing strategic value-added relationships with Coyote’s customers and academic institutions </li><li>Building a best-in-class supply chain research & innovation team that differentiates Coyote from market competitors with regard to scope, creativity, innovation, and efficiency </li><li>Leading diverse project teams focused on both internal and external improvement efforts </li><li>Collaborating with Logistics Analysts and Information Technology teams on a project-by-project basis </li><li>Evaluating effectiveness of current or future logistical process for Coyote clients </li></ul>, <p><b>Essential Skills, Characteristics, & Experience </b></p>, <ul><li>5+ years of experience in Machine Learning, AI, Predictive Modeling </li><li>MS/PhD in Computer Science/Mathematics/Supply Chain/Statistics preferred </li><li>Strong quantitative analysis, programming, and statistical modeling skills. </li><li>Understanding of core ML concepts and its application in solving real world problems </li><li>High level of comfort in Python and R </li><li>Experience coding Microsoft SQL, C#, Visual Basic </li><li>Experience working on some modeling tools for optimization, data-simulation, statistics etc. </li><li>Capable problem solver who uses logic to create effective solutions to complex customer problems </li><li>Team focused and accountable of commitments made to the business </li><li>Previous experience in Transportation, Logistics and IT Systems experience preferred </li></ul>, <p><b>Why Coyote? </b></p>, <ul><li>Onsite training & ongoing career development </li><li>Competitive base salary </li><li>Comprehensive benefits package </li><li>Great perks like onsite haircuts, massages, and intramural sports </li><li>Significant advancement opportunities for outstanding performers </li><li>Casual dress and company lunch </li></ul>, <p>Coyote is an at-will employer. </p>, <p>We are an Equal Opportunity Employer.</p>]	IL		Less than 10,000	Transport and Freight	1	1	1	1	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	1
41	Machine Learning	https://www.indeed.com/rc/clk?jk=33f4f5ff144200dd&fccid=7a3824693ee1074b&vjs=3	<80000	data_scientist	[‘Big Data’, ‘Natural Language Processing’, ‘Spark’, ‘Machine Learning’, ‘Hadoop’]	5	Twitter	63	3.9	30	[<p><b>What You’ll Do:</b></p>, <p>You will work with our team of experts in machine learning and software engineering to build powerful and scalable models and surface the most relevant content on Twitter. Come help us make Twitter the best place for finding what the world is saying, live!<br/> <br/> <b>Who You Are:</b><br/> You have a passion for machine learning and improving the ways people consume the world, live. You are excited to join an incredibly talented, and fun team which loves to take on new challenges. You like a fast-paced & fun environment, believe in Twitter’s mission in the world and want to be a core actor in pushing it forward.<br/> <br/> <b>Requirements:</b></p>, <ul><li>Expertise in Deep Learning and NLP</li><li> Experience with software engineering best practices</li><li> MS or PhD in machine learning or equivalent work experience</li></ul>, <p><b>Desired:</b></p>, <ul><li><p>Experience using big data platforms such as Spark or Hadoop</p></li></ul>, <p>Experience using big data platforms such as Spark or Hadoop</p>]	CA	$1B to $5B (USD)	Less than 10,000	Internet and Software	0	0	1	0	1	0	0	1	0	1	1	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0
42	Temporary Content Developer - Machine Learning	https://www.indeed.com/rc/clk?jk=d693f99164a0652c&fccid=e10c55d179cada25&vjs=3	<80000	data_scientist	[‘TensorFlow’, ‘Machine Learning’, ‘Python’]	3	iD Tech	39	4.5	1	[<p>Description</p>, <p><b>The Position</b></p>, <p> iD Tech is looking for a Temporary Machine Learning Content Developer to produce the educational content and classroom tools to be used by our machine learning summer instructors across the nation with Python and TensorFlow. The ideal candidate will produce engaging and educational content that motivates students to learn and follow their “internal drive.” In addition to technical work, this position includes a significant amount of writing, formatting, and cross-department communication. This role can be worked from a remote home office, if there is a track record of previous work quality.</p>, <p><b> Responsibilities Include</b></p>, <ul> <li>Prepares content and collateral media in accordance with pedagogy, and various style and formatting guidelines.</li> <li>Addresses course feedback and concerns in collaboration with the QA and Editorial teams.</li> <li>Learns software and technology as assigned by your manager for the purpose of producing content.</li> <li>Educates internal departments and summer staff about course content.</li> <li>Helps internal departments, summer staff, and clients troubleshoot needs as assigned by manager (may involve direct support on forums, email or on the phone).</li> </ul>, <p><b>The Qualifications</b></p>, <ul> <li>Bachelor’s degree or higher in computer science.</li> <li>Proven experience working with Python.</li> <li>Experience working with TensorFlow.</li> <li>Experience with Starcraft II and PySC2, and OpenAI Gym a plus.</li> <li>Excellent technical writing ability with an emphasis on communication with a predominantly youth audience.</li> <li>Experience teaching or working with kids.</li> <li>Organized, exceptionally detail oriented, focused, independent, and reliable.</li> <li>Working knowledge of Google docs, calendars, and sheets.</li> <li>Ability to thrive in a fast paced environment where flexibility, prioritizing and multitasking are required to attack each day’s challenges.</li> <li>Must be able to work a typical 8 hour office schedule.</li> </ul>, <p><b>A few reasons why this is the #BestJobEver</b></p>, <ul> <li>iD Tech has been voted a Top Workplace by the Bay Area News Group 8 times!</li> <li>We are highly profitable and expanding quickly</li> <li>iD Tech is a national leader in youth, STEM education</li> </ul>, <p><b>Our Company. Our Mission.</b></p>, <p> Join our cast of talented, creative people who care deeply about revolutionizing STEM education for the next generation of game designers, programmers, web and app developers, filmmakers, tech leaders, and entrepreneurs. You’ll find us at over 150 locations across the USA; our most distinguished campuses include Stanford, UCLA, Princeton, and MIT. Over 50,000 students attended our programs last year, and that number continues to grow rapidly!</p>, <p> iD Tech is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</p>]	CA				1	0	1	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
43	Machine Learning	https://www.indeed.com/rc/clk?jk=4cfe1424f1f243e7&fccid=7a3824693ee1074b&vjs=3	<80000	data_scientist	[‘Big Data’, ‘Natural Language Processing’, ‘Spark’, ‘Machine Learning’, ‘Hadoop’]	5	Twitter	63	3.9	30	[<p><b>Who We Are:</b></p>, <p> Machine learning is advancing products at Twitter (e.g., Timeline ranking, On-boarding) and Cortex is advancing Machine learning at Twitter. Cortex is the central ML/AI team with the goal to build an ML platform and provide deep ML expertise to support our internal customers, while advancing ML inside & outside Twitter.</p>, <p> In particular, the ML Extended Environment team (MLX) in Cortex is focused on unifying & advancing recommendation systems. From timeline ranking to ads ranking to new user on-boarding, recommendation systems are prevalent at Twitter. We are building shared components to unify & advance recommendation systems, e.g., embeddings and approximate nearest neighbor solutions.</p>, <p> MLX team has a unique mix of ML engineers & scientists who work together to explore & build new prototypes and scale them to augment Twitter’s ML capability. Finding the right balance between innovation and impact is key to making this team successful. This is an exciting and creative area, with a unique opportunity to push the boundaries of machine learning further.</p>, <p> MLX Blog Post: https://blog.twitter.com/engineering/en_us/topics/insights/2018/embeddingsattwitter.html</p>, <p><b> Who You Are:</b></p>, <p> You have a passion for machine learning and improving the ways people consume the world, live. You are excited to join an incredibly talented, and fun team which loves to take on new challenges. You like a fast-paced & fun environment, believe in Twitter’s mission in the world and want to be a core actor in pushing it forward.</p>, <p><b> What You’ll Do:</b></p>, <p> You will work with our team of experts in machine learning and software engineering to build powerful and scalable models and surface the most relevant content on Twitter. Come help us make Twitter the best place for finding what the world is saying, live!</p>, <p><b> Requirements:</b></p>, <ul><li> Expertise in Deep Learning and NLP</li><li> Experience with software engineering best practices</li><li> MS or PhD in machine learning or equivalent work experience</li></ul>, <p><b>Desired:</b></p>, <ul><li> Experience using big data platforms such as Spark or Hadoop</li></ul>]	NY	$1B to $5B (USD)	Less than 10,000	Internet and Software	0	0	1	0	1	0	0	1	0	1	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0
44	Computer Vision Scientist (Machine Learning)	https://www.indeed.com/rc/clk?jk=2b684de7cdc40a2d&fccid=91531f080b85f54c&vjs=3	<80000	data_scientist	[‘TensorFlow’, ‘Machine Learning’, ‘Image Processing’, ‘C/C++’]	4	Canvas Technology	NA	NA	30	[<ul> <li>Proven experience in computer vision and deep learning.</li> <li>Strong mathematics skills.</li> <li>Familiarity with DL frameworks (caffe, tensorflow, torch, keras)</li> <li>C++ programming skills including debugging, performance analysis,and test design.</li> </ul>, <ul> <li>M.S. or PhD with focus on machine learning.</li> <li>GPU programming experience (CUDA/OpenCL).</li> <li>Familiarity with mathematical optimization in the context of deep learning.</li> <li>Experience with image-space algorithms such as segmentation, optical flow, scene flow, and image decomposition.</li> <li>Publications in robotics and computer vision conferences and journals.</li> <li>Familiarity with recent machine learning tools and algorithms applied to computer vision problems.</li> </ul>]	CO				0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0
45	FamilySearch Machine Learning Annotation Specialist	https://www.indeed.com/rc/clk?jk=72521a99687d16f4&fccid=7e408d96768a4a43&vjs=3	<80000	data_scientist	[‘Machine Learning’, ‘Microsoft Powerpoint’, ‘Microsoft Office’]	3	The Church of Jesus Christ of Latter-day Saints	1324	4.8	1	[<p>Posting Dates: 10/06/2018 - 11/02/2018 </p>, <p>Job Family: Information Technology </p>, <p>Department: Family History Department </p>, <p><b>PURPOSES</b></p>, <p><b> RESPONSIBILITIES</b></p>, <p> The FamilySearch Machine Learning Annotation Specialist is expected to develop meticulous training data for machine learning algorithms and neural networks including: transcribing text from images of historical genealogical records with a high degree of accuracy, identifying types of terms from historical genealogical records and relationships between terms, precisely annotating boundaries of lines of text, annotating other document attributes, and reviewing documents for errors and providing corrections in a timely manner. They are expected to meet deadlines and accomplish work assignments at a rapid pace with consistently high output, quality, and accuracy such as transcription of historical documents at or greater than 1,500 words per day at 98% accuracy.</p>, <p> Other responsibilities include assisting staff in training and managing volunteers and remotely located personnel, assisting in the development of instructional materials, attending appropriate team meetings, trainings, supporting management in identifying, estimating, and organizing work efforts, and handling other requests as directed.</p>, <p><b> QUALIFICATIONS</b></p>, <p> Bachelor’s degree in computer science, linguistics, genealogy, history, or a related field.</p>, <ul> <li>Advanced or expert ability to read, understand, and accurately transcribe historical documents in multiple languages using paleography skills</li> <li>Written and verbal skills in the more than one language</li> <li>Self-motivated, dependable, detail oriented, responsible, and self-disciplined</li> <li>Technical computer science engineering skills or a tendency toward learning technical skills</li> <li>Ability to mentor and train others</li> <li>High degree of organizational skills</li> <li>High proficiency in Microsoft Office tools, particularly Word, PowerPoint, and Excel</li> <li>Experience with languages such as French, Spanish, Portuguese, and Italian </li><li>Experience with historical genealogical records preferred</li> <li>Experience with genealogy and family history work including familysearch.org preferred</li> <li>Familiarity with handwriting recognition, optical character recognition, layout analysis, machine learning, and neural networks helpful</li> <li>There may be a brief language skills assessment to assess suitability for the position</li></ul>, <p><b> WORTHINESS QUALIFICATION</b></p>, <p> Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy.</p>, <p><b> POSTING NOTICE/MORE INFO.</b></p>, <p> Please Note: All positions are subject to close without notice.</p>]	UT		10,000+	Organization	0	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1
46	Machine Learning Research Scientist - Optics & Photonics Lab	https://www.indeed.com/rc/clk?jk=779d3c6cf2ba01bf&fccid=d81796328c01c258&vjs=3	<80000	data_scientist	[‘.Net’, ‘C#’, ‘Machine Learning’, ‘Software Development’, ‘MATLAB’, ‘Image Processing’, ‘Signal Processing’, ‘Python’, ‘C/C++’]	9	Riverside Research	15	3.7	30		OH	Less than $1B (USD)	Less than 10,000	Aerospace and Defense	1	0	1	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1
47	Machine Learning Researcher SAN FRANCISCOMEMBER OF TECHNICAL…	https://www.indeed.com/rc/clk?jk=9bef042c0a49c9ec&fccid=c037aeb6086309d9&vjs=3	<80000	data_scientist	[‘AI’, ‘Machine Learning’]	2	OpenAI	NA	NA	18	[<ul><li>Track record of coming up with new ideas in machine learning, as demonstrated by one or more first author publications or projects</li><li>Past experience in creating high-performance implementations of deep learning algorithms (optional) </li></ul>, <ul><li>Robotics: while working towards breakthroughs in robotic manipulation, develop novel techniques for reinforcement learning and imitation learning. </li><li>Basic research: develop new and improved methods for generative models and unsupervised learning, reinforcement learning, evolutionary algorithms, and metalearning.</li><li>Safety: enable humans to guide AI agents towards achieving difficult-to-specify goals; work on bringing humans into the training process of advanced agents; investigate the failure modes existing machine learning techniques and develop defenses against them.</li></ul>]	CA				0	0	1	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
48	Entry-Level Data Scientist	https://www.indeed.com/rc/clk?jk=75cfae0095c2b2a6&fccid=de71a49b535e21cb&vjs=3	80000-99999	data_scientist	[‘Java’, ‘Data Mining’, ‘Machine Learning’, ‘Design Experience’, ‘Scripting’, ‘R’, ‘SAS’, ‘Python’]	8	IBM	23472	3.9	1	[<ul><li>You will implement and validate predictive models, and create and maintain statistical models with a focus on big data.</li><li>You’ll communicate with internal and external clients to understand business needs and provide analytical solutions.</li><li>You will use statistical concepts such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights.</li><li>You’ll work in an Agile, collaborative environment, partnering with other scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.</li></ul>, <ul><li>You are great at solving problems, debugging, troubleshooting, and designing & implementing solutions to complex technical issues.</li><li>You thrive on teamwork and have excellent verbal and written communication skills.</li><li>You have strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Java or Python.</li><li>You have a basic understanding of statistical programming in a language such as R, SAS, or Python.</li><li>You have an interest in, understanding of, or experience with Design Thinking Methodology</li><li>You have an interest in, understanding of, or experience with Agile development methodology</li></ul>]	USA		10,000+	Consulting and Business Services	1	0	1	1	0	0	1	0	1	1	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0
49	Trainee as Data Scientist (January to June 2019)	https://www.indeed.com/rc/clk?jk=053c823c0f398c55&fccid=0196d12881dbeaab&vjs=3	80000-99999	data_scientist	[‘Pentaho’, ‘Excel’]	2	Asendia Management SAS	NA	NA	5	[<ul><li>Contribute to the development of the data model for the Business Intelligence tool in collaboration with the key users, the subsidiaries and the IT partner.</li><li> Support the data team in understanding and analysing the data base and process data coming from different data sources.</li><li> Work on consistency of the data coming from various sources.</li> </ul>, <ul><li>Support the data team in extracting, combining and verifying the data needed for the Business Intelligence tool.</li><li> Support the data, IT and business teams in specifying and documenting all processes needed for the above two tasks.</li> </ul>, <ul><li>You are in the 3rd or 4th year of your studies with focus on IT and Business Analyst</li><li> You have a good team spirit, perseverance and appreciate collaboration with different countries and cultures.</li><li> You have strong analytical and data manipulation skills.</li> </ul>, <ul><li>You are interested in business intelligence applied to logistics.</li><li> Working language is English. Written and spoken English on a professional level is key; French and/or German conversation level is needed as well. </li><li>Skills: advanced excel – ETL (Pentaho) programming</li> </ul>, <p>Our mission is to excel in every interaction with our customers. Our values are trust, friendliness, ease of use and our commitment to sustainability.</p>, <ul><li> Workplace in Paris or Bern</li><li> We offer modern and fair employment conditions</li></ul>, <p>For further information, please contact: </p>, <p><b>Nathalie Bonnet Potteau</b> </p>, <p><b>Routing and Network Manager</b> </p>, <p><b>nathalie.bonnet@asendia.com<;/b> </p>, <p><b>Phone + 33 (0) 6 59 72 06 78</b></p>]	OR				0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0

Transformations

indeed_dt <- indeed_dt %>%
              mutate(jk_id = str_extract_all(link, pattern = "jk=[[:alnum:]]+&") %>% 
                              str_replace_all(., pattern = "jk=|&", replacement = ""),
                      fcc_id = str_extract_all(link, pattern = "fccid=[[:alnum:]]+&") %>% 
                              str_replace_all(., pattern = "fccid=|&", replacement = ""))

# lookup both Ids, some links are missing the "jk_id"
jk_id.lookup <- plyr::count(indeed_dt, "jk_id") %>% arrange(desc(freq))

# "fcc_id" can be duplicated because the same company can post the same job position with different attributes, most likely offering the same position in different locations
fcc_id.lookup <- count(indeed_dt, "fcc_id") %>% arrange(desc(freq))

# the result indicates that each "jk_id" is unique in the data set; there is no duplication for any "jk_id"
# however, 99 jobs have missing "jk_id"
# why? what are these 99 jobs? 

jk_id.missing <- indeed_dt %>%
        filter(jk_id == "character(0)")

# let's fix these "jk_id" - these are written differently as there's no "jk=" in these links        
# e.g. https://www.indeed.com/company/Wag!/jobs/Data-Engineer-0633d6309b9f2be8?fccid=381733c3e1596619&vjs=3
jk_id.missing <- jk_id.missing %>%
        dplyr::mutate(jk_id = str_extract_all(jk_id.missing$link, pattern = "-[[:alnum:]]+\\?fccid") %>%
                              str_replace_all(., pattern = "-|\\?fccid", replacement = ""))

# let's 'union all' both sets
indeed_dt <- indeed_dt %>%
        dplyr::filter(x %nin% jk_id.missing$x) %>%
        dplyr::bind_rows(., jk_id.missing)

Data Normalization

we are going to create a simple star schema for this data set we need four tables, i.e. “job_post_specific”, “job_position”, “company”, & “description”. “job_post_specific” table - “jk_id” is the primary key. Each “jk_id” is unique and that represents a post for one job position from a company.

“job_position” table - beware of the original “fcc_id”! Note, the “job_post_specific” and “job_position” tables are different. The same job position is supposed to share an idential and unique “fcc_id”; however, there can be multiple posting. In other words, we expect to see the same “fcc_id” for multiple “jk_id”. For instance, Google posted four identical position “Google AI Resident, 2019 Start (Fixed-Term Employee)” with the same “fcc_id” (a5b4499d9e91a5c6) but four different “jk_id”. These four positions were offered in different locations (NY, MA, CA, & WA)

We should consider these four positions as one when counting for skill sets; otherwise, we will inflate our numbers when calculating for the percentage based on skill sets; however, the data is also messy in terms of some companies posted different job positions with the same “fcc_id”! Using Google and the same “fcc_id” (a5b4499d9e91a5c6) as an example, there are actually 40 entries in the data set that share the same “fcc_id”! That simply means that there are different job positions share the same “fcc_id”, but we also have identical jobs share the same “fcc_id” with different entries in the data set because they can be offered in different locations one extreme case, Booz Allen Hamilton posted 151 different jobs with identical “fcc_id” (4e041af1d0af1bc8)! We must clean up the messy “fcc_id” before splitting up the data set into four tables:

We must 1) remove duplication of identical jobs (job_title, queried_salary, job_type, skill, company), and 2) create unique “fcc_unique_id” as the primary key. Last but not least, we also need to clean up the “company” table by creating a company Id and performing simple Change-Data-Capture

Cleaning Job Position Dataframe

job_position <- indeed_dt %>%
        dplyr::select(fcc_id, job_title, queried_salary, job_type, skill, company) %>%
        dplyr::distinct() %>%
        # create a "fcc_unique_id" after the dplyr::distinct()
        dplyr::mutate(fcc_unique_id = paste(row_number(), fcc_id, sep = "_"))

Cleaning Job Post Specific

job_post_specific <- sqldf("
select df.jk_id
, jp.fcc_unique_id
, df.link
, df.date_since_posted
, df.location 
from job_position jp
join (
        select jk_id, fcc_id, job_title, queried_salary, job_type, skill, company
        , link, date_since_posted, location
        from indeed_dt
) df on jp.fcc_id = df.fcc_id
and jp.job_title = df.job_title 
and jp.queried_salary = df.queried_salary 
and jp.job_type = df.job_type 
and jp.skill = df.skill 
and jp.company = df.company
")

# create a company ID
company_index <- indeed_dt %>%
        dplyr::select(company) %>%
        distinct() %>% 
        arrange(company) %>%
        dplyr::mutate(company_id = paste("c", row_number(), sep = "_"))

job_position <- job_position %>%
        dplyr::left_join(., company_index) %>%
        dplyr::select(fcc_unique_id, job_title, queried_salary, job_type, skill, company_id)

Cleaning Company

# company #
company <- indeed_dt %>%
        dplyr::select(company, no_of_reviews, no_of_stars, company_revenue, company_employees, company_industry) %>%
        distinct() %>%
        dplyr::left_join(., company_index) %>%
        dplyr::select(company_id, everything()) %>%
        arrange(company_id)

# perform simple CDC - Chang-Data-Capture
# get rid of multiple entries by returning the max of "no_of_stars" and "no_of_reviews" b/c we suppose that's the latest update for the company
company <- sqldf("
select company_id, company, company_revenue, company_employees, company_industry
, max(no_of_stars) as no_of_stars
, max(no_of_reviews) as no_of_reviews
from company
group by 1, 2, 3, 4, 5
order by company
"
)

Cleaning Description

description <- indeed_dt %>%
        select(link, description) %>%
        distinct()

CSV Parser

For the purpose of speeding up the analysis process, processed dataframe is divided in four csv files that can be analyzed independently and stored in a database later on. In addition, the 10 first rows from each dataframe is displayed separately in tabs.

CSV creation

write.csv(job_position, "job_position.csv", row.names = F)
write.csv(job_post_specific, "job_post_specific.csv", row.names = F)
write.csv(company, "company.csv", row.names = F)
write.csv(description, "description.csv", row.names = F)

Job Postion

fcc_unique_id	job_title	queried_salary	job_type	skill	company_id
1_281a27deb89bbe92	Data Scientist	<80000	data_scientist	[‘SAP’, ‘SQL’]	c_761
2_b584cf601069b5d0	Data Scientist	<80000	data_scientist	[‘Machine Learning’, ‘R’, ‘SAS’, ‘SQL’, ‘Python’]	c_1335
3_b39fb6f124ce8586	Data Scientist	<80000	data_scientist	[‘Data Mining’, ‘Data Management’, ‘R’, ‘SAS’, ‘SQL’, ‘STATA’, ‘SPSS’, ‘Data Analysis’, ‘Python’]	c_523
4_e9870e3159e9c6ac	Graduate Studies Program - Data Scientist	<80000	data_scientist	[‘Certified Internal Auditor’]	c_417
5_2c6850e24c8a2811	Data Scientist I	<80000	data_scientist	[‘Statistical Software’, ‘Time Management’, ‘R’, ‘Microsoft Office’, ‘Excel’, ‘Tableau’, ‘Data Science’]	c_782
6_e8f18ca6180ec8da	Data Scientist - Entry to Experienced Level	<80000	data_scientist	[‘AI’, ‘Quantitative Analysis’, ‘Data Mining’, ‘Machine Learning’, ‘Analysis Skills’, ‘CSS’]	c_1374

Job Post

jk_id	fcc_unique_id	link	date_since_posted	location
6a105f495c36afe3	1_281a27deb89bbe92	https://www.indeed.com/rc/clk?jk=6a105f495c36afe3&fccid=281a27deb89bbe92&vjs=3	1	MO
86afd561ea8c60bc	2_b584cf601069b5d0	https://www.indeed.com/rc/clk?jk=86afd561ea8c60bc&fccid=b584cf601069b5d0&vjs=3	15	TX
e0aad317e6d45d9b	3_b39fb6f124ce8586	https://www.indeed.com/rc/clk?jk=e0aad317e6d45d9b&fccid=b39fb6f124ce8586&vjs=3	1	OR
1cfdd9e391a6328a	4_e9870e3159e9c6ac	https://www.indeed.com/rc/clk?jk=1cfdd9e391a6328a&fccid=e9870e3159e9c6ac&vjs=3	30	DC
fec647775a21ecc6	5_2c6850e24c8a2811	https://www.indeed.com/rc/clk?jk=fec647775a21ecc6&fccid=2c6850e24c8a2811&vjs=3	30	TX
835a2db493898f25	6_e8f18ca6180ec8da	https://www.indeed.com/rc/clk?jk=835a2db493898f25&fccid=e8f18ca6180ec8da&vjs=3	30	MD

Company

company_id	company	company_employees	company_industry	no_of_stars	no_of_reviews
c_1				4.0	14988
c_2	14 West			3.5	2
c_3	1st Solution USA			NA	NA
c_4	23andMe	Less than 10,000	Health Care	4.0	4
c_6	2DA Analytics			NA	NA
c_7	2K Games			3.7	22

Description

link	description
https://www.indeed.com/rc/clk?jk=6a105f495c36afe3&fccid=281a27deb89bbe92&vjs=3	[<p><b>POSITION SUMMARY</b></p>, <p> The Business Analyst role is the primary architect of reporting and dashboard solutions for internal and external clients. Utilizing ESI corporate standard development tools this position is responsible for the design, development, implementation, analysis, interpretation and communication of business information based on the needs of individual clients. The ability to balance overall aesthetics with robust and intuitive functionality is a critical requirement for success in this position.</p>, <p><b> ESSENTIAL FUNCTIONS</b></p>, <ul><li> Successfully design and implement external client data reporting and dashboard solutions with a strong focus on product aesthetics and functionality.</li><li> Aid in the design, development, and implementation of new product ideas for external and internal clients.</li><li> Maintain Live and Data Warehouse Business Objects Universes; add new fields, modify table joins, implement data structures that streamline report extraction and data analysis.</li><li> Develop and document best practices for all points throughout the design and implementation process.</li><li> Coordinate and interface with Account Management and Implementation teams to gather product design requirements and provide insight into capabilities and solutions.</li><li> Research and present new software and technology solutions to other internal developers, as well as management, to allow for the evaluation and potential integration of new development tools.</li></ul>, <p><b>QUALIFICATIONS</b></p>, <ul><li><p> Bachelor’s degree in related field or 8 to 11 years of experience.</p></li><li> 2-5 years relevant experience with Bachelor’s Degree or Master’s degree and 0-3 years of relevant experience.</li><li> Recent experience creating Business Objects XI reports.</li><li> Designing data visualization applications using SAP Xcelsius 2008 software.</li><li> Designing, implementing and maintaining data universe structures using Business Objects Universe Designer.</li><li> SQL, AS400, Adobe Flex, Flash experience preferred.</li><li> Creative problem solver.</li><li> Fundamental commitment to creating customer value through technical innovation.<br/> </li></ul>, <p> Bachelor’s degree in related field or 8 to 11 years of experience.</p>, <p><b> ABOUT THE DEPARTMENT</b></p>, <p><b> ABOUT EXPRESS SCRIPTS</b></p>, <p> Advance your career with the company that makes it easier for people to choose better health.</p>, <p> Express Scripts is a leading healthcare company serving tens of millions of consumers. We are looking for individuals who are passionate, creative and committed to creating systems and service solutions that promote better health outcomes. Join the company that Fortune magazine ranked as one of the “Most Admired Companies” in the pharmacy category. Then, use your intelligence, creativity, integrity and hard work to help us enhance our products and services. We offer a highly competitive base salary and a comprehensive benefits program, including medical, prescription drug, dental, vision, 401(k) with company match, life insurance, paid time off, tuition assistance and an employee stock purchase plan.</p>, <p> Express Scripts is an equal opportunity employer/disability/veteran</p>]
https://www.indeed.com/rc/clk?jk=86afd561ea8c60bc&fccid=b584cf601069b5d0&vjs=3	[<p><b>What do we need?</b></p>, <ul><li> You to have an amazing personality and communication style.</li><li> That you are super-organized and are a problem solver.</li><li> That you take pride in everything that you do, and it shows.</li><li> And most importantly that you have unquestionable integrity.</li></ul>, <p><br/> <b> Why work for us?</b></p>, <ul><li> We invest in our employees, and offer extensive training, and development programs to set you up for future success.</li></ul>, <p><br/> If we sound like a fit, and you’re ready to start an exciting career with an organization that fosters employee growth, apply today!<br/> <br/> <b>Job Description</b><br/> This position will be responsible for:</p>, <ul><li> Develop marketing, credit risk models, segmentation, and risk analytics</li><li> Perform all required tests and measures of developed models</li><li> Deliver comprehensive model documentation (e.g., Model Development Document, Technical Specification Document) of modeling projects</li><li> Understand and follow modeling procedures, credit policies, and deliver technical/regulatory documentation for internal/external reviews</li><li> Communicate technical information verbally and in writing to both technical and non-technical audiences</li></ul>, <p><b>Education</b></p>, <ul><li> Advanced Degree (Masters or PhD preferred) in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, Quantitative Finance. MBAs should apply only if they are interested in career in specialized quantitative risk management discipline</li></ul>, <p><br/> <b> Experience </b></p>, <ul><li>Entry level position. Any experience in statistical modeling fields is preferred</li></ul>, <p><br/> <b> Skills</b></p>, <ul><li> Very strong knowledge of statistics methods and machine learning techniques</li><li> Strong numerical programming ability using a range of languages (SAS, R, Python); working experience with SQL</li><li> Detail-oriented with high degree of accuracy</li><li> Strong analytical, problem-solving and critical-thinking skills</li><li> Excellent verbal and written communication skills</li></ul>, <p><b>Benefits</b></p>, <ul><li> Medical / Dental/ Vision benefits available after 30 days of employment</li><li> Company paid life insurance</li><li> Paid holidays</li><li> PTO/ 401K / Tuition Reimbursement</li></ul>, <p> All your information will be kept confidential according to EEO guidelines.</p>]
https://www.indeed.com/rc/clk?jk=e0aad317e6d45d9b&fccid=b39fb6f124ce8586&vjs=3	[<ul><li>Validate, analyze, and conduct statistical analysis on data using analytical software (Excel, SQL, and SAS).</li><li>Analyze and define efficient, workable solutions that support client business processes and functional requirements for research projects.</li></ul>, <ul><li>Extract qualitative findings from large data sets.</li><li>Write reports that include effective graphs, tables, summaries, and narratives.</li><li>Develop and execute test cases to ensure data requirements have been met.</li><li>Research and resolve client-reported issues.</li><li>Interpret results, present findings, and recommend alternative solutions to research management and business decision makers.</li><li>Track daily industry news and disseminate relevant articles to management and team</li></ul>, <ul><li>Bachelor Degree in Statistics, Decision Sciences, Economics, Physics, Mathematics, or similar field required.</li></ul>, <ul><li>2 years of experience in the analytical field</li><li>Experience with SQL, Python or other programming language</li><li>Highly competent in data manipulation and critical thinking.</li><li>Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities. Knowledge of data mining and software applications.</li><li>Ability to distill large amounts of information into key findings.</li><li>Ability to clearly articulate research in written and verbal presentations with software developers, clients, management, and sales staff.</li><li>Data management experience with one or more data analysis packages (e.g. SPSS, SAS, STATA, R) required.</li><li>Experience with Excel, including pivot tables, formulae, VLOOKUPs, and graphing</li><li>Strong organizational skills including the ability to multi-task and prioritize efficiently to meet deadlines.</li><li>Strong attention to detail and problem-solving skills.</li><li>Self-motivated, takes initiative, loves to learn, and continuously seeks new knowledge.</li><li>Strong documentation skills from both a business and technology perspective.</li><li>Effective troubleshooting and investigation skills to identify root cause of problems.</li><li>Proven ability to manage and perform multiple tasks under conditions of fluctuating workloads, competing requirements, and changing deadlines while maintaining accuracy; working independently and completing assignments with minimal direction.</li><li>Self-starter who is self-motivated, efficient, responsible, and dependable.</li><li>Experience in the television/media research industry is a plus.</li></ul>, <ul><li>LI-JZ1</li></ul>, <ul><li>MSJA</li></ul>]
https://www.indeed.com/rc/clk?jk=1cfdd9e391a6328a&fccid=e9870e3159e9c6ac&vjs=3	[<p>Full time</p>, <p>Washington, DC metro area</p>, <p>Starting salary: $56,698 - $76,377 ($27.17 - $36.60 per hour) </p>, <p>US citizenship required (dual national US citizens are eligible)</p>, <p>Description</p>, <p>Qualifications</p>, <p>How to Apply</p>, <p>As a Data Scientist Graduate Intern for the CIA, you will work side-by-side with other Data Scientists to organize and interpret data to inform US decision makers, drive successful operations, and shape technology and resource investments. Through CIA’s global mission, the Agency has access to unique and highly specialized data. You will work with advanced hardware, software, and techniques to develop computational algorithms and statistical methods to identify patterns and relationships in large volumes of data. Data Scientists clearly communicate their conclusions to a diverse audience and develop technical expertise via hands-on experience and continuous learning, including Agency-sponsored training, academic conferences, and other professional development activities.</p>, <p> The Graduate Studies Program allows you and the Agency to assess opportunities for permanent employment following your completion of Graduate school.</p>, <p>The Directorate of Digital Innovation (DDI) is at the forefront of defining the future of digital expertise within the CIA. DDI focuses on developing the workforce with cutting-edge skills, investing in IT infrastructure, and modernizing the way the Agency does business. DDI officers help accelerate the integration of innovative methods and tools to enhance the CIA’s cyber and digital capabilities on a global scale and ultimately help safeguard our nation. Learn more about the Directorate of Digital Innovation.</p>, <p>Click to watch the video on a separate page.</p>, <p>In addition to a comprehensive benefits package, the CIA offers exciting career opportunities and a dynamic environment. We’re on the forefront of world-altering events – as they happen. So working here isn’t just a job, it’s a mindset and a lifestyle.</p>]
https://www.indeed.com/rc/clk?jk=fec647775a21ecc6&fccid=2c6850e24c8a2811&vjs=3	[<ul><li>Assist in consultations with business partners and internal/external HR functional experts to develop and maintain HR dashboards, models and metrics.</li><li>Research national best practices for HR data analytics to make recommendations for our district.</li><li>Develop queries, validate and export data in various formats for HR dashboards/metrics, automating the delivery where possible.</li><li>Perform quantitative and qualitative data analysis to produce reports, assessments and proposals that will help organizational leaders make informed and data driven business decisions.</li><li>Maintain an up to date perspective of tools, practices, industry standards, national trends and System standards.</li></ul>, <ul><li><b><i>Customer Focus -</i></b> Building strong customer relationships and delivering customer-centric solutions</li><li><b><i>Collaborates -</i></b> Building partnerships and working collaboratively with others to meet shared objectives</li><li><b><i>Tech Savvy -</i></b> Utilizes market pricing and analytical tools available while continually seeking out emerging technologies</li><li><b><i>Persuades -</i></b> Uses compelling arguments to gain the support and commitment of others</li><li><b><i>Communicates Effectively -</i></b> Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li><b><i>Action Oriented -</i></b> Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li><b><i>Resourcefulness -</i></b> Secures and deploys resources effectively and efficiently</li></ul>, <ul><li>Bachelor’s degree in business, economics, mathematics, statistics or other related field of study</li><li>Experience using statistical software and data visualization tools</li><li>Microsoft Office suite, specifically MS Excel, experience required</li><li>Skilled using technology tools and digital platforms including R, Tableau and Human Capital Management (HCM) platforms</li><li>Excellent time management skills including multi-tasking, managing deadlines and providing project oversight</li><li>Excellent written, verbal and listening skills to effectively communicate with staff at all organizational levels</li><li>Strong problem solving and critical thinking skills</li><li>Ability to maintain trust and integrity when working with confidential situations and information</li><li>Ability to maintain composure under pressure</li><li>Ability to work collaboratively across a variety of business units within the organization.</li><li>Equivalent education and/or experience may be substituted for any of the above requirements</li></ul>]
https://www.indeed.com/rc/clk?jk=835a2db493898f25&fccid=e8f18ca6180ec8da&vjs=3	[<ul><li>Collecting and combining data from multiple sources</li><li>Uncovering and exploring anomalous data (including metadata)</li><li>Applying the scientific process to data evaluation, performing statistical inference, and data mining</li><li>Developing analytic plans, engineer supporting algorithms, and design and implement solutions which execute analytic plans.</li><li>Designing and developing tools and techniques for analysis</li><li>Analyzing data using mathematical/statistical methods</li><li>Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership</li><li>Creating interpretable visualizations </li></ul>, <ul><li>Completed a degree program in the fields of mathematics, statistics, computer science, computational sciences, or a passion for rigorous analysis of data</li><li>Tenacity, integrity, persistence, and willingness to learn</li><li>Ability to solve complex problems</li><li>Use critical thinking and reasoning to make analytic determinations</li><li>Works effectively in a collaborative environment</li><li>Strong communications skills to both technical and non-technical audiences</li><li>The desire to serve over 300 million fellow Americans and make a difference in world events </li></ul>, <ul><li>The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates’ education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.</li></ul>, <ul><li>The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates’ education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.</li></ul>, <ul><li>The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates’ education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.</li></ul>, <ul><li>The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates’ education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.</li></ul>]

Analysis

Before starting the analysis, some data cleaning is needed in order to separate the skills for each company. Since we are going to work with skillsets according to industries, only the companies with a defined industry will be used.

skills <-  job_position$skill  %>% str_extract_all("(?<=\\')([a-zA-Z]{1,}).*?(?=\\')")

positionFinal <- data.frame(company_id = rep(job_position$company_id,sapply(skills,length)),
                            skills=unlist(skills))

positionFinal <- left_join(positionFinal,company,by="company_id")


positionFinal <- positionFinal %>% filter(.$company_industry != "")

Skills Diversity

Number of skills required by different industries. As shown in the graph below, the most diverse skill set is required by industries such as consulting and business services, internet and software, and financial services and banking.

Salary Index

As part of our analysis, we’ve calculated the relative value of each skill by dividing the expected salary of each position by the number of required skills. With this measure, we hoped to determine if some data scientist roles required less popular skills which command a higher salary.

Expected salary intervals were converted to a 1 to 6 scale with 6 corresponding to expected salaries >$160000. This number was divided by the total number of skills and that weight is assigned to the skill. We later aggregated the mean and sums of this values as show in the charts below.

Our first chart plots the sum of the relative values and gives us a very similar result to the raw count scores from the above chart.

The next chart calculates the average of relative values in this shows a very different picture. Less common skills which are associated with higher paying jobs rise to the top. This chart is heavily influenced my skills with a low job count so the results need to be interpreted with caution. Rather than using it infer general trends, a candidate might find it useful to see if a skill he or she has might open the door to a specialized role.

dfsalary<- indeed_dt %>% 
  select(link,no_of_skills, queried_salary, skill) %>% #Take the link as an identifier and the skills column
  mutate(skill = stringi::stri_extract_all(skill,regex = "(?!')((?:''|[^'])*)(?=(',)|(']))"), V2 = 1) %>% #extract individual skills
  unnest(skill, .id = "id") %>% #Skills to rows
  spread(skill, V2, fill = 0) %>%  #Skills rows to columns
  select (-c(`<NA>`,id)) %>% #remove unused columns
  dplyr::rename(NLP = `Natural Language Processing`) %>%  #Makes the chart look better
  gather(key = "skill",value = "required", 4:467) %>% 
  filter(required == 1) %>% 
  mutate(salindex = queried_salary) %>% 
  mutate(salindex = str_replace(salindex, "<80000", "1")) %>%
  mutate(salindex = str_replace(salindex, "80000-99999", "2")) %>% 
  mutate(salindex = str_replace(salindex, "100000-119999", "3")) %>% 
  mutate(salindex = str_replace(salindex, "120000-139999", "4")) %>% 
  mutate(salindex = str_replace(salindex, "140000-159999", "5")) %>% 
  mutate(salindex = str_replace(salindex, ">160000", "6")) %>% 
  mutate(skillval = as.numeric(salindex)/no_of_skills)

dftopsals <- dfsalary %>% 
  group_by(skill) %>% 
  dplyr::summarise(valsum = sum(skillval)) %>% 
  arrange(valsum) %>% 
  top_n(30)

p<-ggplot(data=dftopsals, aes(x=reorder(skill,valsum), y=valsum), width=.5,position = position_dodge(width = 60)) +
  ggtitle("Sum of Relative Skill Value")+
  geom_bar(stat="identity", fill="steelblue")+
  theme_minimal() +
  coord_flip() 
p

Data Skills

The chart below tallies the the skill count across the entire data set. We see that Python is the language of choice followed by R and Java. For database related technologies, SQL is the clear choice due to it’s ubiquity followed by “big data” variants such as Hadoop and Spark.

Data Visualization Apps

Let’s filter the top ten industries from the data.

skillPro <- positionFinal %>% filter(.$company_industry == industries$company_industry) %>% select(skills,company_industry) %>%  group_by(company_industry)

Skills by industry

This shinny App will help you to visualize the top 20 skills required by the top 10 industry displayed as a percentage.

## PhantomJS not found. You can install it with webshot::install_phantomjs(). If it is installed, please make sure the phantomjs executable can be found via the PATH variable.

Shiny applications not supported in static R Markdown documents

Skill Counting

This Shinny app displays the top 10 skills according to a company average rating and industry.

Shiny applications not supported in static R Markdown documents

Conclusion

In conclusion, the motivation was to study what skills were the most in demand for data scientists. We observed trends across the different industries and the different rated companies in the USA wherein skills such as Python, Machine Learning, SQL, and R were some of the most consistently in demand for Data Scientists.From all the industries, the most diverse skill sets were required in industries such as consulting and business services, internet and software, and financial services and banking. However, as a part of our insights shown in our shiny applications, these required skills sets may vary depending on the industry you are focusing or the rating that such companies have in any specific industry. Perhaps, a decade into the future, the most in-demand data scientist skills may continue to be machine learning, programming languages, and SQL.

Data Science Skills

Jim Ng, Lewris Mota, Suma Gopal, Fernando Figueres

March 22, 2019

Data Acquisition

Data loading

Original Dataset Display

Transformations

Data Normalization

Cleaning Job Position Dataframe

Cleaning Job Post Specific

Cleaning Company

Cleaning Description

CSV Parser

CSV creation

Job Postion

Job Post

Company

Description

Analysis

Skills Diversity

Salary Index

Data Skills

Data Visualization Apps

Skills by industry

Skill Counting

Conclusion