Data Validation Fellowship
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Academic Level: Undergraduates - First Year
Undergraduates - Sophomore
Undergraduates - Junior
Undergraduates - Senior
Post-Baccalaureate
Graduate Students (Masters)
Graduate Students (PhD)
Note: this opportunity encourages applications from community college students.Description: We are currently accepting applications for the Fall Data Validation Fellow position. The position is paid at $20/hr, full-time and fully remote. We anticipate this being a 12-16 week full-time position, to start early Sept. and run through Dec.
The Data Validation Fellowship provides the opportunity to do a deep dive into redistricting and contribute to our data validation and processing efforts. We welcome applicants who have academic backgrounds or who are self taught. As a Data Fellow, responsibilities include, but are not limited to:
-Writing and reviewing QA scripts
-Data munging
-Ad hoc research (quantitative or qualitative)
-Figuring out how to explain redistricting concepts in a way that is visual and easy to understand
-Completing redistricting mapping exercises on a variety of mapping platforms.
The Data Validation Fellow will support our partner data validation project. The RDH is working to write and run QA scripts to check the work of our partner data organizations. This project involves recreating code, and problem solving when errors are encountered. This position will require a strong programming background.
Position requirements
- Computer programming skills (Python preferable)
- Experience with functions such as merge, overlay, concatenate and pivot tables
- Data analysis skills
- Time management skills
- Self-direction
- Resourcefulness - important when contacting states regarding raw data
- Prior experience explaining technical subjects (ex. teaching, tutoring, etc) strongly preferred
- Prior experience with GIS a plus
- Prior political or redistricting experience not expected or necessary.
Visit the website to learn how to apply!

Application Deadline: 7/30/2022
Participating Institution(s):(Click an institution to see all programs it hosts)Program Materials:This Program can be Described by:Academic Disciplines:
Applied Mathematics
Computational Sciences
Computer Sciences
Geography
Political Science
Statistics
Keywords:
Computer Programming
Data Analysis
Data Science
Learn More and Apply! Page last updated 3/9/2022
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