The Role:The University of Chicago Crime Lab is seeking a Data Scientist to work on social science research projects designed to test the effectiveness of predictive models. The position offers the opportunity to work directly with leading social policy researchers, at the University of Chicago and NYC-area universities, local city agency staff, as well as a team of administrative staff, research managers, analysts, and student research assistants. The Data Scientist will be working directly with faculty director, Jens Ludwig, and faculty affiliate, Sendhil Mullainathan from Harvard University. Duties and Responsibilities: - Under the guidance of the faculty director contributes to the design, implementation, and evaluation of predictive models that draw on disciplines such as machine learning, natural language processing, and social network analysis and which require entity disambiguation and the merging of large datasets. - Builds and maintains strong relationships with researchers working on machine learning and all participating partner organizations, government agencies, nonprofits, and other relevant stakeholders.- Prepares project memos, summaries, presentations, manuscripts, and other work for dissemination targeting policymakers, academic researchers, and other stakeholders.REQUIRED APPLICATION MATERIALS: Submit resume, cover letter, writing sample, and unofficial transcripts.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status or status as an individual with disability.The University of Chicago is an Affirmative Action / Equal Opportunity / Disabled / Veterans Employer.Job seekers in need of a reasonable accommodation to complete the application process may contact Human Resources by calling 773-834-1841 or by emailing email@example.com with their request.
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