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areas related to data engineering (machine learning, statistics, databases, building data pipelines, etc.), demonstrated experience in software engineering, and, ideally, a demonstrated interest in data
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various internal data systems as well as from external sources. Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and
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administrative datasets. Works with partners and members of the research team to propose and implement analytical approaches to solving specific research questions. Builds statistical models for a variety of
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, Political Science, Psychology and Sociology), Biological Sciences (Human Genetics, Medicine, and Public Health Sciences), the Harris School of Public Policy, and the Department of Statistics. They share
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. Build and analyze statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Supervise contributions of specialized
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of geospatial data, which includes data from a range of different sources, such as statistical agencies, municipal governments, and the proprietary datasets. Works with partners and members of the research team
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: Master’s degree in economics, statistics, computer science or related field. Experience: Coursework in statistics, econometrics, data science, and computer science. Strong background in applied statistics
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information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be
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well as from external sources. Designs and evaluates statistical models and reproducible data processing pipelines using expertise of best practices in machine learning and statistical inference. Provides
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sequencing, single cell RNA sequencing, ATAC sequencing, genotypes), statistical tool development and computational analyses. Manipulates publicly accessible, commercial, or proprietary genomic, proteomic