Quantitative Policy Research Scientist

Mathematica, Inc.; Washington (District of Columbia); Remote; USD 100,000 - 135,000; Full time

Job summary

Mathematica, Inc. seeks a quantitative researcher to join our division and support rigorous, data-driven evaluation work for clients including education and labor agencies.

The role focuses on causal inference and social policy research to inform program improvement. Responsibilities include designing studies, applying advanced methods, and presenting findings to policy and practitioner audiences while collaborating across teams and partners in a Washington, DC area setting.

Qualifications

• Ph.D. in economics, public policy, sociology, education, statistics, data science, or related field.
• Strong quantitative skills with training in causal inference methodologies.
• Experience with R, Python, or Stata.
• Excellent written and oral communication for practitioner and policy audiences.
• Ability to work well in teams.

Responsibilities

• Support data-driven, evidence-building activities on client projects.
• Design quasi-experimental analyses to evaluate education and labor outcomes.
• Apply rigorous causal inference methods to policy research.
• Develop data visualizations and synthesize evidence for briefs and reports.
• Collaborate with state, local, and philanthropic organizations.
• Present findings to policy, practitioner, and researcher audiences.
• Use AI tools for data collection, processing, and preliminary analysis.

Skills

Causal inference

Quantitative analysis

Communication skills

Team collaboration

Education

PhD in economics / public policy / sociology / education / statistics / data science

Master's with causal inference coursework + 3 years experience

Tools

R

Python

Stata

Job description

Mathematica, Inc. seeks a quantitative researcher to join our division and support rigorous, data-driven evaluation work for clients including education and labor agencies.

The role focuses on causal inference and social policy research to inform program improvement. Responsibilities include designing studies, applying advanced methods, and presenting findings to policy and practitioner audiences while collaborating across teams and partners in a Washington, DC area setting.