Data Science Intern, Summer Internship (Crime Lab New York)

Chicago, IL
Mar 03, 2018
Institution Type
Four-Year Institution

New York

13760 Urban Crime Labs

About the Unit

Job Information

Job Summary:

The data science research assistant intern will be working under the guidance of the research staff on building, implementing, and evaluating predictive models. Day to day work will consist of collecting and organizing different datasets, deriving summary statistics of those datasets, and helping to implement machine learning models. The intern will explore existing social policies to guide the research efforts, and may work on preparation of work products for dissemination (report formatting and writing). This is a great opportunity to see how predictive analytics impact public policy, to gain a deeper understating of policy research, and to develop research skills.

This position is located in downtown New York City close to City Hall.

This internship is a paid, full-time opportunity during the summer (generally 10 weeks).

  • Building, implementing, and evaluating predictive models
  • Collecting and organizing different datasets, deriving summary statistics of those datasets, and helping to implement machine learning models.
  • Explore existing social policies to guide research efforts
  • May work on preparation of work products for dissemination (report formatting and writing).

  • Interest in and aptitude for developing advanced programming and analytic skills for working with administrative data
  • Strong attention to detail with good organization skills required
  • Self-motivated; ability to work independently and manage ongoing tasks on tight timelines
  • Responsive to email
  • Strong oral and written communication skills
  • Ability to work well with research teams in a collaborative environment

Additional Requirements

  • This position is open to qualified candidates at any level (Bachelors, Masters, or PhD).
  • Coursework in computer science, statistics, applied mathematics, or a related field required.

  • Experience with collecting data from public APIs and working with messy data sets is a plus.
  • Experience or knowledge of urban policy/criminal justice issues a plus

Technical Knowledge or Skills:
  • Intermediate statistical data analysis skills, with the ability to use Python or R, are strongly preferred

Required Documents:
  • Resume
  • Cover letter
  • Coding sample
  • Transcripts

(NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application.)

Benefit Eligibility

Pay Frequency

Pay Range
Depends on Qualification

Scheduled Weekly Hours


Job is Exempt?

Drug Test Required?

Does this position require incumbent to operate a vehicle on the job?

Health Screen Required?

Posting Date

Remove from Posting On or Before

Posting Statement:

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 Applicant Inquiry Form.

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Full time

About Us
The University of Chicago is an urban research university that has driven new ways of thinking since 1890. Our commitment to free and open inquiry draws inspired scholars to our global campuses, where ideas are born that challenge and change the world.

We empower individuals to challenge conventional thinking in pursuit of original ideas. Students in the College develop critical, analytic, and writing skills in our rigorous, interdisciplinary core curriculum. Through graduate programs, students test their ideas with UChicago scholars, and become the next generation of leaders in academia, industry, nonprofits, and government.

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