Temporary Data Science Research Assistant (Internship)

Updated: almost 2 years ago
Location: Light Street, PENNSYLVANIA
Job Type: FullTime
Deadline: The position may have been removed or expired!

Department
 

UL Urban Crime Lab


About the Department

Who We Are In cities across the country, people face high rates of gun violence, under-resourced schools, and social harms associated with the criminal justice system - all of which disproportionately impact people of color. These inequalities have profound consequences on public safety and opportunity. As a society we have failed to address these challenges, in part, because of our lack of understanding of the most effective and cost-effective solutions that can have a real impact on people’s lives. We believe that rigorous research can help. The University of Chicago Crime Lab and Education Lab partner with cities and communities to use data and rigorous research to design, test, and scale programs and policies that enhance public safety, improve educational outcomes, and advance justice. Our mission is to combine world-class data science and research, in partnership with government agencies, to substantially improve the effectiveness of the public sector and achieve impact at scale. To learn more about the Crime Lab and Education Lab, visit https://urbanlabs.uchicago.edu/labs/crime. The Role The data science research assistant intern will be working under the guidance of the research staff on building, implementing, and evaluating predictive models. The internship is an opportunity to experience how predictive analytics impact public policy, to gain a deeper understating of policy research, and to develop research skills.

Job Information
 

Job Summary:

The Temporary Data Science Research Assistant intern will be working under the guidance of the research staff on building, implementing, and evaluating predictive models. The internship is an opportunity to experience how predictive analytics impact public policy, to gain a deeper understating of policy research, and to develop research skills.

Responsibilities:

  • Collect and organize different datasets.

  • Derive summary statistics of datasets.

  • Assist with implementing machine learning models.

  • Literature reviews.

  • Writing, formatting, and editing reports and works for dissemination.

Competencies:

  • Interest in and aptitude for developing programming and analytic skills required.

  • Strong attention to detail and good organization skills required.

  • Ability to work independently and manage ongoing tasks on tight timelines required.

  • Strong oral and written communication skills required.



Additional Requirements ​​
 

Education, Experience, or Certifications:

Education:

  • High School Diploma or GED required.

  • Coursework in computer science, statistics, applied mathematics, or a related field required.

Experience:

  • Experience with collecting data from public APIs and working with messy data sets preferred.

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

  • References

When applying, the document(s) MUST  be uploaded via the My Experience page, in the section titled Application Documents of the application.



Benefit Eligibility
 

No


Requires Compliance with University Covid-19 Vaccination Requirement
 

Yes

Pay Frequency
 

Hourly

Pay Range
 

Depends on Qualifications

Scheduled Weekly Hours
 

37.5

Union
 

Non-Union

Job is Exempt
 

No

Drug Test Required
 

No

Motor Vehicle Record Inquiry Required
 

No

Health Screen Required

No

Posting Date
 

2022-04-21-07:00

Remove from Posting On or Before
 

2022-10-21-07:00

Posting Statement: ​​
 

Employees must comply with the University’s COVID-19 vaccination requirements. More information about the requirements can be found on the University of Chicago Vaccination GoForward .
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.

 

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.

 

All offers of employment are contingent upon a background check that includes a review of conviction history.  A conviction does not automatically preclude University employment.  Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

 

The University of Chicago's Annual Security & Fire Safety Report (Report) provides 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 accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.