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contexts. Basic Qualifications Ph.D. in areas such as statistics, biostatistics, computer science, economics, or a related quantitative field Strong skills in R and/or Python and experience analyzing complex
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, or Python); Creating and managing very large datasets; Managing and mentoring research assistants (RAs); Machine learning skills; Writing papers for management and economics journals; Interest in reskilling
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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analysis (especially R, Stata, Julia, MATLAB, or Python) An enthusiasm for empirical research and an interest in pursuing a PhD in economics or related fields (e.g., public policy) An ability to work
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, computer science, economics, or a related quantitative field Strong skills in R and/or Python and experience analyzing complex data Clear scientific writing and communication; a track record of publications
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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experience with empirical research methods. Candidates with research experience are strongly preferred, especially those with programming experience in Stata, SAS, R, and/or Python. Candidates need not be