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Department CSL ATH: Cross Country/Track and Field About the Department The University of Chicago is one of the nation's leading institutions of higher education and research. Campus and Student Life
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engineering, scalable data systems, and high-dimensional statistical inference. We encourage applications from all researchers focused on developing the foundations and practice of Data Science as an emerging
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applications for tenure-track faculty positions at the rank of Assistant Professor in the area of Data Science. Appointments may be made in either the Department of Computer Science or the Department
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, contention, or inference with other systems. Develops, implements, and maintains diagnostic procedures to ensure high level production quality, reliability, and availability. Monitors applications, operating
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handling (HIPAA/GDPR concepts). Maintains and analyzes statistical models using best practices in machine learning, statistical inference, and reproducible research workflows. Prepares publication-ready
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statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Partners with other campus teams to assist faculty with data science related
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Competencies Prior research assistantship(s) in economics, public policy, or related quantitative social science fields. Advanced training in econometrics, including causal inference methods. Experience
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statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Serves as a single point of contact for all requests and engages
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statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Analyzes moderately complex data sets for the purpose of extracting and
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various internal data systems as well as from external sources. Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs