Data Scientist for AI-Enhanced Math Coaching (Remote)

Harvard University; Massachusetts; Remote; USD 90,000 - 95,000; Full time

Job summary

Harvard University’s Center for Education Policy Research (CEPR) seeks a Data Scientist to organize and analyze diverse data sources, including text, video, and audio, to inform AI-powered educational tools and coaching practices. You’ll collaborate with educators, researchers, and partners to advance evidence-based outcomes in K-12 education, contributing to research reports and product development.

The role emphasizes data infrastructure, measurement development, and cross-team collaboration,

Qualifications

• Bachelor’s degree in a data-related field and relevant experience in data science or educational research.
• Strong organizational, communication, and problem-solving skills; able to work independently and with teams.
• Experience with data analysis, statistics, ML, NLP, and AI in education is preferred.

Responsibilities

• Organizes, cleans, and prepares structured and unstructured data for AI modeling and analysis.
• Applies statistical, ML, NLP, and generative AI methods as appropriate.
• Coordinates development and evaluation of automated measures related to teaching and coaching.

Skills

Data science

Statistics

Machine learning

Natural language processing

Python

R

Educational research

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, Education, Social Science, or related field

Master’s degree (preferred)

Tools

Stata

Git

APIs

Job description

Harvard University’s Center for Education Policy Research (CEPR) seeks a Data Scientist to organize and analyze diverse data sources, including text, video, and audio, to inform AI-powered educational tools and coaching practices. You’ll collaborate with educators, researchers, and partners to advance evidence-based outcomes in K-12 education, contributing to research reports and product development.

The role emphasizes data infrastructure, measurement development, and cross-team collaboration,