Predoctoral Scholar - Machine Learning Data Scientist Apply
Department
Harris School Pre-Docs, Temps and Non-Student Research Assistants
About the Department
Why Policy? For a better world. Why Harris Public Policy? Because when it comes to better policymaking, evidence matters. We work at the frontiers of data collection and analysis, using the latest technology and social science methods to design policies that work for society. We conduct rigorous inquiry in an environment of innovation and risk-taking. We collaborate across the private, public, and nonprofit sectors, adopting new methodologies to drive better solutions. We engage with our city, our world, and our leaders every day to evaluate and test our ideas. And we lead with our passion for driving social change, knowing that passion alone does not equal impact.
Job Summary
The Harris School of Public Policy seeks applicants for a one-year Research Professional position. The ideal candidate will have core interests in education research. The successful candidate will work under the supervision of Professor Anjali Adukia.
Responsibilities Collect, transform, and process raw and unstructured data into a usable data science format.
Develop classification models using supervised and unsupervised machine learning/deep learning techniques for various research applications.
Design and implement NLP algorithms and techniques for text preprocessing, feature extraction, sentiment analysis, semantic role labeling, and document classification.
Visualize complex data for inclusion in manuscripts and presentations.
Write documentation and use version control on GitHub, including communicating and documenting your process to other researchers on the project.
Work collaboratively with a team of researchers.
Assist in analyzing data for the purpose of extracting applicable information. Perform research projects that provide analysis for a number of programs and initiatives.
May assist staff or faculty members with data manipulation, statistical applications, programming, analysis, and modeling on a scheduled or ad-hoc basis.
Perform other related work as needed.
Minimum Qualifications Education: Minimum requirements include a college or university degree in a related field.
Work Experience: Minimum requirements include knowledge and skills developed through Preferred Qualifications Education: Bachelor's Degree in Economics, Statistics, or related disciplines.
Experience: Previous research experience.
Technical Skills or Knowledge: Proficiency in Stata; ability to use other statistical software packages (e.g., R, Python, or BASH).
Significant coursework or experience in data analysis.
Exceptional technical skills and a proven ability to creatively tackle difficult empirical problems.
Working Conditions Predoctoral Scholar will be based out of Chicago, IL.
Application Documents Resume (required)
Cover Letter (preferred)
References (preferred)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
FLSA Status
Non-Exempt
Pay Frequency
Biweekly
Scheduled Weekly Hours
37.5
Benefits Eligible
Yes
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
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