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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy. Experience applying econometrics/statistics, predictive modeling, simulation, and data visualization methods to support the development of health policy.
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8+ years of experience using SAS, R, Python, or SQL in a research, consulting, or business environment. Masters or Ph. D. in health services research, public health, public policy, epidemiology, economics, statistics, or related field with 8+ years of experience in a research, consulting, or business environment OR Bachelor's degree and 10+ years of experience.
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Bachelor’s Degree in Finance, Economics, or other quantitative disciplines such as Statistics, Quantitative Finance, Applied Economics, or Econometrics, and 5-7 years of work experience; Masters Degree preferred with 3-5 years of experience.
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Seeking a dynamic, goal-oriented Health Data Analytics Consultant to work on health and human services projects requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
$88,000 - $173,200 a yearRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Bachelor’s Degree in a quantitative subject, such as Econometrics, Mathematics, Operations Research, Statistics, Economics or Finance. Reasonable familiarity with some statistical tools (SAS, R, Python) and data analytic/visualization tools such as SQL, Tableau, Excel and PowerPoint.
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Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Freddie Mac’s Enterprise Risk Management Division is currently seeking a Quantitative Analytics Senior to perform all tasks related to model validation to evaluate and manage model risks associated with company’s models.
$118,000 - $178,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Stay current with emerging trends, methodologies, and best practices in quantitative finance, econometrics, statistics, and machine learning, and apply them to enhance modeling capabilities and stay ahead of the curve.
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The RAs will be responsible for a wide range of support including, but not limited to, data gathering, econometrics, analysis of economic or statistical data sets, and basic programming for high-quality analyses.
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Excellent quantitative analysis abilities, grounded in econometrics, health services research, epidemiology, statistics, or related field. Experience with SQL for data manipulation and R, Python, or Stata for statistical programming.
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Advanced degree (Masters or PhD) in a Quantitative discipline such as Statistics, Mathematics, Operations Research, or Econometrics. Experience in the financial services industry, including credit risk, market risk, and fraud detection.
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Expertise in one or more of the following content areas: American Foreign Policy Since World War II, Comparative Politics, International Economics I & II (Microeconomics, Macroeconomics, International Trade and International Monetary), Statistics for Data Analysis, Theories of International Relations, Econometrics, Corporate Finance, Development Finance, International Economic Policy.
$19 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care.
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Necessary skills include advanced econometrics (time series, discrete choice, panel, and additional methods), economic analysis, handling large data sets, and policy and investment analysis. Our teams have expertise in advanced econometrics, macroeconomics and microeconomics, industrial organization, forecasting, policy analysis, computable general equilibrium modeling, complex valuations, and spatial modeling/statistics.
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Master's degree in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field. The Global Customer Fulfillment (GCF) Amazon Customer Excellence System (ACES) team is seeking a Data Scientist to define and model volume availability from a Fulfillment Center perspective, as in what is the ideal assignment curve to feed FCs in order to optimize network throughput, labor, transportation, speed, and quality (DEA.
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Econometrics, mathematical modeling, or geospatial modeling. Forensics (Digital Forensics; Forensic Science, and Technology) As a DST Data Engineer at CIA, you will enable the Agency to analyze, process and deliver data products critical to intelligence collection activities against our nation's highest priority threats in a global environment that is often hostile, fast paced, and technologically savvy.
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econometrics job in Falls Church, VA
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