Temporary Data Science Intern
About The Position
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. For more information about our work, visit the Crime Lab and Education Lab websites. The data science summer internship is a great opportunity to gain a deeper understanding of what it takes to process data and build and evaluate predictive models. This position will be full-time for approximately 37.5 hours per week for 10-12 weeks.
Requirements
- High school diploma or GED required.
- Significant progress towards a degree in a technical discipline (e.g. data science, statistics, or computer science) or a social science discipline (e.g. economics, public policy, or sociology preferred.
- Coursework in data science, machine learning, statistics, applied math, or a related field.
- Intermediate statistical data analysis skills, including experience in the fundamentals of machine learning, with the ability to use Python or R.
- Experience working with messy, real-world data sets.
- Experience working with text, images, or other non-tabular data formats.
- Interest in and aptitude for developing programming and analytic skills.
- Excellent verbal and written communication skills.
- Strong initiative and a resourceful approach to problem-solving and learning.
- Ability to work independently and as part of a team.
- Strong attention to detail and organizational skills.
- Sound critical thinking skills.
- Interest in research and relevant policy areas.
Responsibilities
- Collect and organize different datasets.
- Derive summary statistics of those datasets.
- Help with the implementation of machine learning models.
- Conduct literature reviews of relevant policy and research topics.
- Prepare and deliver an end-of-internship presentation.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
High school or GED
