Policy Data Scientist: Causal Inference Social Impact
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IT/Tech
Job Description & How to Apply Below
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.
Consider building your career as a Policy Data Scientist:
Causal Inference for Social Impact at Mathematica, Inc.
Step into the Policy Data Scientist:
Causal Inference for Social Impact role at Mathematica, Inc. in Princeton, NJ, United States and grow with us.
Please review the full job details above before applying.
If your experience matches this role, we encourage you to apply.
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