University of Chicago - Chicago, IL
posted 8 days ago
Full-time
Chicago, IL
Educational Services
About the position
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 using version control on GitHub, including communicating and documenting your process to other researchers on the project.
- Work collaboratively with a team of researchers.
- Assists in analyzing data for the purpose of extracting applicable information. Performs 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.
- Performs other related work as needed.
Requirements
- Minimum requirements include a college or university degree in related field.
- Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
Nice-to-haves
- Bachelor's Degree in Economics, Statistics or related disciplines.
- Previous research experience.
- 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.
Benefits
- Benefits Eligible: Yes
- Scheduled Weekly Hours: 37.5
