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Graduate education in a technical field (preferred: rigorous applied training including a PhD in economics / statistics / bioinformatics / cognitive science / physics / similar) We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, economics, and machine learning.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
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You may substitute education for specialized experience as follows: One (1) academic year of graduate education in a field of study such as: business administration (finance, accounting, auditing, marketing and business law), law, economics, criminology, political science, government, public administration or another related field.
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Executive Director/ Vice President of Health Economics Outcomes Researcher (HEOR) is responsible for conducting research to assess the economic impact of healthcare interventions, with the goal of helping healthcare organizations make informed decisions regarding resource allocation and reimbursement.
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Master's degree or Ph. D. in social science (e.g., Communication, Sociology, Political Science, Economics, Psychology), or in a quantitative field (e.g., Statistics, Informatics, Econometrics) with experience answering social questions.
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Foundation in Mathematics, Economics/Econometrics, Statistics, Computer Science, Operations Research, or related field. Family-forming benefits (IVF, Preservation, Adoption etc.) Foundation in Mathematics, Economics/Econometrics, Statistics, Computer Science, Operations Research, or related field.
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Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering.
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B.A. or B.S. in Business Administration or Science; M.B.A or Ph. D. in health policy, health economics or scientific field preferred. Broad-spectrum understanding of key function areas (marketing, payer relations, pricing, health economics, policy.
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An MBA or Master's or Doctorate degree in economics, operational research, mathematics, statistics, engineering, psychology, or another field with strong quantitative roots and demands. Basic experience or basic understanding of machine learning, data mining, and natural language processing.
$105,000 - $156,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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With Imply, developers can build without constraints as our database lets them create interactive data experiences on streaming and batch data with limitless scale and at the best economics. Work with our US AP accountant to ensure proper recording, coding, and approval of US entity invoices.
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Minimum QualificationsRequires a Master's degree in Computer Science, Engineering, Business Administration (MBA), Information Systems, Economics, Mathematics, Physics, or a related field and three years of work experience in the job offered or in a business-related occupation.
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Experience with enterprise cloud economics and understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Datawarehouse, Data Sharing, Data Applications.
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Bachelor's degree in finance, accounting, economics, engineering or relevant technical field; MBA strongly preferred. Experience with global, enterprise financial systems (e.g., Hyperion, Oracle, etc.
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Bachelor's degree in Business Administration, Economics, Industrial engineering or related field. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America.
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