The University of Chicago Crime Lab team is seeking a Data Scientist to work directly with the Chicago Police Department Bureau of Technical Services. Under the supervision of the Chief of Technology, the data scientist will utilize terabytes of structured data and contribute directly to statistical methodology and technology that enable the department to better understand crime and outcomes of interventions. This role will also help support localized crime analysis being done in the Departmentâ™s highest crime districts through the Strategic Decision Support Centers (SDSC). See below for more information on the SDSC initiative:
Become a go-to source of knowledge for CPDâ™s vast database of information, with the ability to quickly identify potential data sources for projects.
Contributes to the design and implementation of an efficient and reproducible data processing pipeline.
Builds and 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 targeting both policymakers, academic researchers, and other stakeholders, as needed.
Advanced knowledge of computer science techniques.
Strong interpersonal skills required.
Strong initiative and a resourceful approach to problem solving and learning required.
Ability to work independently and as part of a team in a fast-paced environment required.
Expert database skills.
Proficiency in R and/or Python.
Strong attention to detail with superb analytical and organization skills required.
Excellent written and verbal communication skills, with the ability to present data in a simple and straightforward way for non-technical audiences required.
Education, Experience or Competencies:
Bachelor's or Master's degree in computer science, statistics, data science, economics or a closely related field required.
Minimum 2 years related work experience required (experience gained in school counts towards requirement).
Experience working with data to guide decision-making in public policy preferred.
Experience working with large and complex datasets strongly preferred.
Technical Knowledge or Skills:
Proficiency with statistical data analysis and machine learning using Python or R is required. The ability to work in both is preferred.
Bonus Points for prior analytical application development experience in Flask, Django, or R Shiny.
Cover letter: The University of Chicago Urban Labs is committed to fostering a diverse, equitable, and inclusive environment for our staff and partners and we encourage applications from individuals whose backgrounds or interests align with this commitment. In your cover letter, please describe your perspective and experiences on diversity or evidence of how you have come to understand the barriers faced by historically and currently marginalized groups.
A sample of data work, such as a final report for a class project, link to a GitHub repo, or blog post
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application.
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.
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Internal Number: JR01807
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