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Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field. PHYSICAL/MENTAL REQUIREMENTS NON-STANDARD WORK
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preferably in engineering, economics, statistics, computer science, or related quantitative field. Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics
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preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred
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+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred. Experience using
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databases ( e g , PubMed, DailyMed , FDA , and EMA sources and guidelines) for literature and information mining to support document content and how to cite such information appropriately. Able to interpret
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degree with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred
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preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred
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degree with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred
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Digital line to develop enterprise level solutions that address data analysis, storage, and curation, including the ability to mine data for insights that support decision making. Interact and coordinate
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, and curation, including the ability to mine data for insights that support decision making. Execute qualifications/validations of new instruments and custom methods. Organize assigned work according to