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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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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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and statistical inference. Provide expertise for high level or complex data-related requests and engage other IT resources as needed. Partner with other campus teams to assist faculty with data science
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the University's 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
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rigorously evaluates statistical models using best practices of machine learning and statistical inference. Prepares project memos, summaries, presentations, reports, and other work products for dissemination
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learning and statistical inference. Serves as a single point of contact for all requests and engages other IT resources to assist as needed. May partner with other campus teams to assist faculty with data
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knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources
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related meetings, correspondence, drafting, submission, and tracking of recommendation letter requests, and other areas as needed. Assist with grant proposal creation and submission (training provided
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such as Python, Stata, and R. Proficient with statistical analysis applied to GIS data. Conceptual and practical expertise in applied statistics and research design, including causal inference and
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research, coordinating conference calls and individual/team meetings, and preparing recommendation letters. Prepares expense reimbursements, and tracks expenditures. Assists with preparation of grant