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Bachelor’s degree in a quantitative field such as engineering or mathematics (e.g., Electrical Engineering, Computer Engineering, Computer Science, Information Technology, or Information Systems.
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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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Bachelor’s or Master’s Degree in computer science, applied mathematics, engineering, or other quantitative area. Experience with quantitative analysis of complex systems, probability and statistics.
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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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Master’s or PhD degree in Computer Science, Statistics, Economics, Engineering, Applied Mathematics or related quantitative field; or equivalent related professional experience. Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia.
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Bachelor's degree in a quantitative field such as Mathematics, Statistics, or Computer Science. Proficiency in data visualization tools such as Tableau or Power BI. Identifying data quality issues and implementing solutions to ensure data integrity.
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Degree in an Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science, or related field of technical rigor.
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MA/MS preferred in Public Policy, Economics, International Relations, Quantitative Social Science, Statistics, Applied Mathematics, Operations Research, or related fields. Excellent verbal and written communication skills, with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
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Advanced degree in applied mathematics, statistics, actuarial science, economics or related field. Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions.
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Bachelor’s Degree from an accredited higher learning institution required or equivalent combination of experience and education (preferred area of study: Economics, Quantitative Analysis, Business, Mathematics, Computer Science or other similar fields.
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Mandatory SkillsBachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent work experience. Proficiency in data analysis tools and languages (e.g., SQL, Python, R.
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M.S. or Ph. D. degree in Mathematics, Machine Learning, Engineering, Physics or other quantitative fields preferred. Experience building and using state of the art models such as deep learning in NLP or computer vision or similar application.
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8+ years experience in a highly quantitative field, such as data science, applied economics, applied statistics, mathematics, or physics and Masters degree preferred. Bachelors degree or 10+ years equivalent experience in a highly quantitative field, such as data science, applied economics, applied statistics, mathematics, or physics.
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Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in data holdings.
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Degree in a quantitative field such as mathematics, statistics, finance, econometrics, or operations research. 4+ years of experience in quantitative finance. The ideal candidate for this role is an energetic quantitative professional looking for an exciting and dynamic role supporting investment professionals.
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