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economics or mathematics. Experience: 3 months to one year of work experience in a related job discipline. Experience gained through coursework may be counted as relevant experience. Background in
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developed through 5-7 years of work experience in a related job discipline. Certifications: --- Preferred Qualifications Education: Graduate degree in statistics, data science, machine learning, mathematics
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. Significant progress toward a degree in a social science discipline (e.g., economics, public policy, statistics, or data analytics) preferred. Strong background in mathematics and statistics preferred
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documents, preferred. Communicate effectively in English, both orally and in writing, required. Perform mathematical functions relevant to the position, preferred. Strong problem-solver, preferred. Working
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English both orally and in writing, required. Demonstrated ability to perform mathematical functions relevant to the position, required. Demonstrated ability to problem solve, required. Must undertake OSHA
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environment. Accounting systems. Preferred Competencies Analytical and problem-solving skills. Microsoft office and Google Suits. Ability to work independently and as part of a team. Mathematical aptitude
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econometrics. Advanced coursework in economics or mathematics. Familiarity in analyzing large data sets, applying econometrics methods. Knowledge of machine learning techniques in data analysis. Familiarity with
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Department Graham Non-Credit Instructors About the Department The University of Chicago's first president, William Rainey Harper, had a vision: that learning can, and should, be a lifelong pursuit. Graham is the realization of that vision. Established as one of U Chicago's three original...
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, Statistics, or Mathematics. Experience: Prior experience working in Neuro-Informatics at an academic medical center. Technical Skills or Knowledge: Experience developing and implementing machine learning
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, Business Objects, BuySite, GEMS, ACCTS, Onbase, ePayment. Mathematical aptitude, strong analytical, problem solving, and organizational skills. Strong computer skills, including Microsoft Word and Excel