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A degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field (Masters or PhD preferred for Senior Manager direct hires.
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The Urban Institute's Data Science team is hiring a Data Scientist to work with researchers across the Urban Institute and our change-maker partners to apply data science tools and techniques to generate new evidence, data, and analytic tools that inform public policy.
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4+ years of experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization.
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Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Current PhD - Data Science Internship - Summer 2024. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Understanding of data science and analytic methodologies applicable to real-world evidence. Experience with data analytics and the application of data science tools and techniques in healthcare, including use of machine learning, statistical modeling and natural language processing techniques.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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The Data Scientist will develop advanced analytics in support of an Intelligence Community client, by providing data science and machine learning solutions to include programmatically accelerating data access, automating methodologies, and developing models that enhance predictive accuracy that counter national security threats.
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MarketBridge is looking for a Data Science Engineer to support our Marketing Effectiveness solution. We solve the toughest B2C and B2B marketing and sales challenges using quantitative, reproducible methods - an approach we call Go-to-Market® Science.
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In the role, you will collaborate with engineers and data professionals to foster the use of data science, advanced analytics, machine learning, and other techniques to amplify solutions in EC’s issue areas.
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Our industry-leading cryptocurrency data powers our investigations, and our data science investigations team will be responsible for deriving data-driven insights for our customers to help supercharge their missions.
$165,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The (NIA), a major research component of the National Institutes of Health (NIH) and the Department of Health and Human Services (DHHS), is seeking exceptional candidates for the position of Senior Data Science Strategist ($163,964 - $246,400) within the.
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The Data Science Strategist will advise the Division’s data and analytics efforts, including a range of collaborative data science projects and cooperative agreements conducted with partners across NIA and the NIH. The ideal candidate will have a broad understanding of data science regarding analytical methods, informatics, computational and information resources, and federal data sharing policies and will have a proven track record of designing and executing complex data science programs.
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Establishing and maintaining interaction with various NIH Data Science groups to inform and guide NIA extramural program staff on infrastructure needs and inform strategies for optimal leveraging of NIH cloud resources to improve capacity and interoperability of NIA cloud workspaces, and their accessibility for longevity studies.
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Title: data science in Arlington, VA
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