Policy Data Scientist - Causal Inference & Evaluation

Mathematica, Inc.; Ann Arbor (MI); Remote; USD 100,000 - 135,000; Full time

Job summary

Mathematica, Inc. seeks a quantitative researcher to support data-driven, evidence-building activities in employment and education policy. You will work on projects for federal agencies and foundations, applying rigorous causal methods and evaluating program effectiveness.

You will design quasi-experimental studies, conduct causal analyses, and create data visualizations to translate findings for policymakers and practitioners. Collaboration and clear communication are essential.

Qualifications

• Ph.D. in economics, public policy, sociology, education, statistics, data science/data analytics, or related field; or master's degree with coursework in causal inference and 3+ years' experience.
• Strong quantitative and causal inference skills for evaluating education and employment programs.
• Proficiency in R, Python, or Stata with ability to translate methods for policy audiences.
• Excellent written and oral communication and ability to work in teams.

Responsibilities

• Design rigorous study designs and analyze quantitative data from surveys and administrative sources.
• Synthesize existing evidence and contribute to briefs and reports.
• Develop data visualizations to convey findings to policymakers and practitioners.
• Collaborate with state and local agencies and foundations on evaluations.

Skills

Causal inference

Quantitative analysis

Team collaboration

Communication skills

Education

Ph.D. in economics or related field

MS with 3+ years causal inference experience

Tools

R

Python

Stata

Job description

Mathematica, Inc. seeks a quantitative researcher to support data-driven, evidence-building activities in employment and education policy. You will work on projects for federal agencies and foundations, applying rigorous causal methods and evaluating program effectiveness.

You will design quasi-experimental studies, conduct causal analyses, and create data visualizations to translate findings for policymakers and practitioners. Collaboration and clear communication are essential.