Senior Quantitative Policy Researcher

Mathematica, Inc.; Chicago (IL); Remote; USD 100,000 - 135,000; Full time

Job summary

Mathematica in the United States seeks a quantitative researcher to join our team and support rigorous, data-driven evidence-building activities in employment and education policy. You will contribute to projects for federal and state agencies, foundations, and education programs, applying causal inference and advanced analytics.

The role emphasizes designing study frameworks, analyzing large datasets with R/Python/Stata, preparing briefs, and presenting findings to policymakers and

Qualifications

• Ph.D. in economics, public policy, sociology, education, statistics, data science/data analytics, or a related field. In lieu of a Ph.D., a master's degree with coursework in causal inference and a minimum of 3 years of demonstrated experience applying it to research will be considered equivalent.
• Strong quantitative analytical skills, including training in causal inference methodologies.
• Experience working with programming languages such as R, Python, or Stata.
• Excellent written and oral communication skills, including an ability to translate complex research methods and findings for practitioner and policy audiences.
• Ability to work well in teams.

Responsibilities

• Participate in evaluation activities such as developing rigorous study designs, analyzing quantitative data from surveys and administrative sources, reviewing and synthesizing existing evidence, applying innovative methods such as machine-learning techniques, contributing to briefs and reports, and developing data visualizations to enhance the accessibility of findings.
• Design and deploying approaches that use artificial intelligence tools for data collection, processing and preliminary analysis.
• Helping program administrators and policymakers make decisions by cleaning, organizing, analyzing, and presenting large amounts of data.
• Assessing the strength of study designs and summarizing large and diverse sets of existing research through systematic reviews and meta-analyses.
• Guiding program staff and policymakers in the use of evidence to make decisions about program selection and adaptation.

Skills

Causal inference

Quantitative analysis

Team collaboration

Written communication

Oral communication

Education

Ph.D. in economics, public policy, sociology, education, statistics, data science/data analytics, or a related field

Master's degree with coursework in causal inference + 3 years of applicable experience

Tools

R

Python

Stata

Job description

Mathematica in the United States seeks a quantitative researcher to join our team and support rigorous, data-driven evidence-building activities in employment and education policy. You will contribute to projects for federal and state agencies, foundations, and education programs, applying causal inference and advanced analytics.

The role emphasizes designing study frameworks, analyzing large datasets with R/Python/Stata, preparing briefs, and presenting findings to policymakers and