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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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Doctorate degree (or Master's degree with equivalent work experience) in statistics, quantitative finance, economics, or a related quantitative field. Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets.
$118,000 - $178,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Degree: major or equivalent, or a combination of courses totaling at least 24 semester hours, in international law and international relations, political science, economics, history, sociology, geography, social or cultural anthropology, law, statistics, or in the humanities; or 12 semester hours in one of the above disciplines and 12 semester hours in statistics/quantitative methods.
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B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master’s degree or equivalent graduate degree including certificate-based advanced training courses.
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Selective Placement Factor: Experience working within a rapid response international assistance organization where the mission focuses on political transitions and stabilization, community development, mediation/arbitration, conflict resolution, democracy and governance, international law, human rights activities, or humanitarian response.
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Social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing; 6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes.
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BS or BA in sociology, organizational or cognitive psychology, economics, statistics, mathematics or mathematical statistics, or other related degree. Diverse and sustained experience in application of statistics, mathematics, and quantitative methods to decision making.
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Degree must have a quantitative focus (quantitative social science such as economics, computer science, physics, mathematics, engineering, statistics or related) The Data Scientist is responsible for assisting with analyzing the People's Republic of China (PRC)'s impact on development globally, a key and highly visible foreign policy issue within USAID. From day to day, you will work to translate large and complex datasets to produce insights and actionable recommendations to key stakeholders in USAID missions and leadership.
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A Bachelor's Degree in Analytics, Economics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering or a similar quantitative discipline. Master’s Degree in Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering or similar quantitative discipline.
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PhD in Industrial and Organizational Psychology, Organizational Behavior, or other technical or quantitative discipline, including but not limited to Cognitive Science, Neuroscience, Economics, Behavioral Economics, Mathematics, Physics, Biology, Chemistry or Statistics.
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Bachelor's Degree in Economics, Statistics, Mathematics, International Relations, Public Policy, Social Sciences, or other relevant field. Proficient with data preparation and visualization tools such as PowerBI, Alteryx, Snowflake.
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MA/MS preferred in Public Policy, Economics, International Relations, Quantitative Social Science, Statistics, Applied Mathematics, Operations Research, or related fields. MA/MS preferred in Public Policy, Economics, International Relations, Quantitative Social Science, Statistics, Applied Mathematics, Operations Research, or related fields.
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In addition, members of the Department collaborate closely with faculty across the university including mathematics and statistics, computer engineering, mechanical engineering, biology, earth and environment, economics, law, medicine, among others.
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Must have a Bachelor’s degree in Data Science, Business Analytics, Economics, Finance, Mathematics, Statistics, Computer Science, Information Technology, Computer Engineering or a related quantitative field and 3 years of related work experience.
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Bachelor’s degree or higher in quantitative finance, economics, statistics, applied mathematics, engineering or comparable area. Bachelor’s degree or higher in quantitative finance, economics, statistics, applied mathematics, engineering or comparable area.
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