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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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Master’s or PhD degree in Computer Science, Statistics, Economics, Engineering, Applied Mathematics or related quantitative field; or equivalent related professional experience. If you excel in dynamic, collaborative settings and have a strong interest in applying machine learning and data science to glean actionable insights, Expedia's Paid App team has a compelling opportunity for you.
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Identifies and/or develops innovative and effective approaches and methodologies; applies advanced operations research and data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization; and validates analysis and outcomes.
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Provide expertise across a wide variety of IT areas as applied to public health, including information retrieval technology, decision science, web technology, data mining, expert systems, networking, public health science, and education.
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Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, or other closely related quantitative or mathematical discipline.
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An advanced degree (PhD. or Masters) preferred in a quantitative field such as Computer Science, Statistics, Biostatistics, Economics (with an Econometrics emphasis), Applied Finance, or Applied Mathematics.
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Applied Mathematics (e.g. probability and statistics, formal modeling, computational social sciences); Computer Programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing); and Visualization (e.g. GIS/geospatial analysis, telemetry analysis) Extensive knowledge of the IC and its components, missions, and interrelationships.
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Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline.
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Drive teams to utilize Machine Learning, AI or data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations, as well as identify opportunities to apply quantitative methods to improve business performance.
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4-year degree from an accredited university in Computer Science, Applied Mathematics, Data Science, Economics, Statistics, Operations Research, Engineering or other quantitative discipline.
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A degree in the fields of Mathematics, Data Science, Statistics, or Engineering and a have undertaken at least 24 credit hours of quantitative based coursework (in the fields of mathematics, statistics, or engineering), including at least six credit hours of calculus.
$150Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Applies professional knowledge of computer science, mathematical, statistical theories, techniques, and methods to gather, analyze, design, and construct new processes for analytical modeling, interpreting models, and/or reporting quantitative information, trends, relationships, and correlations among or within data.
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M.S. or above in Applied Statistics, Artificial Intelligence, Biostatistics, Computer Science, Data Engineering, Data Science, Engineering, Machine Learning, Physics, Software Engineering, or related highly quantitative fields.
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MITRE’s Army Division has an opening for a recent graduate in Applied Mathematics, Computer Science, Operations Research, or similar degree programs to continue the growth of our data analytics group in support of a diverse set of Army sponsors.
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10 or more years of experience leading and conducting research at the nexus of applied science and policy related to climate change mitigation through land and/or coastal interventions. Expert-level knowledge of how to integrate quantitative and qualitative data in support of developing nature-based solutions to climate change.
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applied quantitative data science jobs in Washington, DC
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