Policy Data Scientist: Causal Inference for Social Impact

Mathematica, Inc.; Princeton (NJ); Remote; USD 100,000 - 135,000; Full time

Job summary

Mathematica seeks a quantitative researcher to join our team, contributing to data-driven evidence-building activities for major clients including U.S. Education and Labor Departments and NSF.

The role emphasizes causal inference, evaluation design, and the use of AI tools for data collection and analysis. The position requires a PhD in a related field (or a Master's with causal inference coursework and 3+ years of experience) and strong programming skills in R, Python, or Stata.

Qualifications

• Ph.D. in economics, public policy, sociology, education, statistics, data science/data analytics, or related field.
• In lieu of Ph.D., a master's with causal inference coursework + 3+ years’ experience.

Responsibilities

• Support rigorous, data-driven evaluation activities for projects with federal and state agencies.
• Conduct quantitative analyses, causal inference, and systematic reviews to inform program improvement.
• Design and implement studies, and develop data visualizations to disseminate findings.

Skills

Quantitative analysis

Causal inference

Programming (R, Python, or Stata)

Scientific communication

Team collaboration

Education

PhD in economics/public policy/sociology/education/statistics or related

Master's with causal inference + 3+ years experience

Tools

R

Python

Stata

Job description

Mathematica seeks a quantitative researcher to join our team, contributing to data-driven evidence-building activities for major clients including U.S. Education and Labor Departments and NSF.

The role emphasizes causal inference, evaluation design, and the use of AI tools for data collection and analysis. The position requires a PhD in a related field (or a Master's with causal inference coursework and 3+ years of experience) and strong programming skills in R, Python, or Stata.