Policy Impact Quantitative Researcher

Mathematica, Inc.; United States; Remote; USD 100,000 - 135,000; Full time

Benefits offered by this job

Employee stock ownership (ESOP)

Competitive salary and benefits

Job summary

Mathematica is seeking a quantitative researcher to join our team to support rigorous, data-driven, evidence-building activities across education and employment policy areas.

You will conduct studies using advanced causal inference methods, collaborate with project teams, and translate findings for policymakers and practitioners. The role includes working with clients such as federal and state agencies and foundations.

Qualifications

• Ph.D. in economics, public policy, sociology, education, statistics, data science/data analytics, or a related field; or master's with causal inference coursework and 3+ years experience.
• Strong quantitative analytical skills with training in causal inference methodologies.
• Experience coding in R, Python, or Stata and translating methods for policy audiences.
• Excellent written and oral communication; ability to work in teams.
• Experience in human services, education, or policy contexts is a plus.

Responsibilities

• Design rigorous study designs and analyze quantitative data from surveys and administrative sources.
• Apply causal inference and meta-analytic methods to evaluate programs.
• Develop data visualizations and synthesize evidence for briefs and reports.
• Present findings to policy, practitioner, and researcher audiences.
• Collaborate with state and local partners to refine programs and evaluate outcomes.

Skills

Causal inference

R or Python

Stata

Strong writing & communication

Team collaboration

Education

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

Tools

R

Python

Stata

Job description

Mathematica is seeking a quantitative researcher to join our team to support rigorous, data-driven, evidence-building activities across education and employment policy areas.

You will conduct studies using advanced causal inference methods, collaborate with project teams, and translate findings for policymakers and practitioners. The role includes working with clients such as federal and state agencies and foundations.