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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Data Science, Data Analytics, Artificial Intelligence, Machine Learning. + Bachelor’s degree required in Operations Research, Applied Mathematics, Statistics, or equivalent STEM degree preferred.
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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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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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Bachelors Degree in in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science or related fields if accompanied by a Certificate in Data Science from an accredited college/university.
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Master's degree or higher in Computer Science, Statistics, Mathematics, or a related field with a focus on data mining, NLP, or machine learning. Machine Learning/Data Science.
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Working knowledge appropriate analytic methods and methodological tools in one or more of the following areas: 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) Visualization (e.g. GIS/geospatial analysis, telemetry analysis.
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Department Summary: MITRE’s Data Science department (L172) is looking for qualified applicants to bring their machine learning, advanced analytics, and applied research skills to bear on solving problems of critical national importance.
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MS in in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning. Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics.
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3 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
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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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10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
$105,353 - $179,101 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science. Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with 13+ years of experience.
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