Data Scientist
US$90,000 – US$95,000 / yr base salary
Posted 1 Oct 2026
Advertised as “Data Scientist, M-Powering Teacher Coaching”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- 057
- Management level
- People management
- Employment
- Hybrid
- Contract
- Full-time
- Visa sponsorship
- Not offered
| Base salary | US$90,000 – US$95,000 / yr |
|---|
Field of studyComputer Science, Data Science, Economics, Education, Mathematics, Social Science, Statistics (or related)
Study levelBachelor's
Field of studyComputer Science, Data Science, Economics, Education, Social Science, Statistics (or related)
Study levelMaster's
Company Description
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join the Harvard Graduate School of Education?
The Harvard Graduate School of Education (HGSE) is a diverse community of learners, teachers, and employees who are passionate about changing the world through education and striving for maximum impact in the field of education.
Many choose to work at the Harvard Graduate School of Education because they believe in our mission and are excited by our vision for the future. We have a reputation as a great place to work, for our excellent leadership, and we are a strong community that values diversity. For more information about HGSE, its programs, research, and faculty, please visit: www.gse.harvard.edu.
Job Description
Job Summary:
At the Center for Education Policy Research at Harvard University (CEPR) our mission is to transform education through the power of quality evidence. We believe that if we want to dramatically improve educational outcomes for all children, evidence must play a critical role.
The Math Teaching and Teacher Learning team at CEPR provides math-specific professional development to teachers and coaches to help improve math instruction. Our current grant-funded projects seek to develop and test an expanded math-specific coach training program (M-Powering Teacher Coaching) that uses machine-learning automated feedback and AI-enhanced coaching tools. The Data Scientist will contribute to this and other projects that connect rigorous educational research with practical tools for teachers, instructional coaches, and education leaders. This person will oversee, manage, and lead analysis and application of complex datasets, and contribute to the integration of research insights into innovative educational tools and cutting-edge products. They will be joining a team with faculty lead and Principal Investigator, Heather Hill, and collaborators at higher education research institutions, professional learning organizations, curriculum providers, and Enterprise AI firm(s).
Job-Specific Responsibilities:
Key responsibilities of the Data Scientist include:
Data and Research Infrastructure:
- Organizes, cleans, and prepares structured and unstructured data (e.g., video, audio, text) for AI modeling and analysis.
- Develops and documents codebooks, annotation protocols, data dictionaries, and other research procedures.