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Requirements: Bachelor's degree in a relevant quantitative field (E.g., economics, finance, business, data science, statistics, or a related field). General understanding of theories and methods typically gained
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relevant quantitative field (E.g., economics, finance, business, data science, statistics, or a related field). General understanding of theories and methods typically gained through completion
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relevant quantitative field (E.g., economics, finance, business, data science, statistics, or a related field). Effective oral and written communication skills Outstanding academic credentials and
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nonprofits to use machine learning and data science to modernize the public sector. We are an interdisciplinary team of data scientists, social scientists, engineers, and lawyers who are passionate about
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field (E.g., economics, finance, business, data science, statistics, or a related field). Effective oral and written communication skills Outstanding academic credentials and intellectual creativity
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the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits and rewards offered
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the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford’s extensive range of benefits and rewards offered