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Perform data quality audits around inconsistent data, incomplete data, business rule violations, incorrect data, etc. The Data Scientist provides technical staff with competencies in data science and data engineering that will specifically focus on data science workflow automation and developing technical data artifacts.
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This position will primarily involve hands-on data science activities, including evaluation of data quality, data management, data visualization and data analysis, and the building machine learning models, using observational data, to support drug development.
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T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.
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As a member of the team, candidate will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of data science, data modeling, data mapping, data testing, data quality, and documentation preparation.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Duties will include finding and designing new approaches to handling, analyzing and using large volumes of law enforcement, intelligence, investigative, and business data sets; exploring fundamental issues with data handling, search, and retention; solving complex data and storage issues; designing new software coding to improve data search processes; designing, testing and validating the quality of the data and data processes; and analyzing and reporting results with actionable recommendations.
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Developing and applying computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financial management, human resources, quality and supply chain.
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Job Description: Title: Data ScientistLocation: Onsite in Springfield, VACitizenship/Clearance Requirement: US Citizen with an active TS/SCI Clearance Job Description/Job Requirements: This position supports the Geospatial Services & Solutions business area to provide high-quality, cost-effective solutions to the customer.
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Plans, manages, and executes the day-to-day operations of the Prosperity Now Scorecard’s state-level and local-area data products, including data warehousing/database management, quantitative analysis (estimation of statistical models), quality control and automation, UX testing, data visualization, and report and brief writing using the Scorecard data.
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The Global Customer Fulfillment (GCF) Amazon Customer Excellence System (ACES) team is seeking a Data Scientist to define and model volume availability from a Fulfillment Center perspective, as in what is the ideal assignment curve to feed FCs in order to optimize network throughput, labor, transportation, speed, and quality (DEA.
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In addition, you will source data from multiple different data sources, write high-quality data manipulation scripts in R, Python, Perl, bash, etc, develop and ap-ply data mining and machine learning algorithms for advanced analysis and prediction.
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The qualified candidate will conduct data analysis for various internal and external NCQA projects and using the analysis to interpret patterns of health care quality and potential health policy recommendations.
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Use performance data to identify and categorize opportunities for improving quality of verified translations. 2+ years of professional experience working as a Data Scientist.
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GENERAL DUTIES:The Data Scientist Senior (DSS) will leverage tools such as ServiceNow, JIRA, or similar ITSM tools to monitor and review team member assignments to ensure equitable use of resources, and to exercise quality control over tasks.
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The Washington Post Personalization team is looking for a senior data scientist who is excited to create forward-thinking solutions for the next generation of journalism. Monitor and ensure the quality of machine learning solutions by implementing process and control disciplines and tooling to govern.
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Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. The Data Scientist works collaboratively, but independently, with the Data Architect, Developers, Database Administrator, and reports writers, under the supervision of the Data Architect and Project Manager.
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data quality jobs Title: data scientist in Arlington, VA
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