Policy-Focused Quantitative Researcher (Causal Inference)

Mathematica; Ann Arbor (MI); On-site; USD 100,000 - 135,000; Full time

Benefits offered by this job

Employee stock ownership (ESOP)

Competitive salaries

Benefits package

Job summary

Mathematica is seeking a quantitative researcher to join our division to support rigorous, data-driven, evidence-building activities. Our researchers support ongoing project teams in the planning and execution of projects for clients such as the U.S.

Departments of Education and Labor, NSF, Gates Foundation, and state agencies. We seek expertise in causal inference and social policy research to conduct studies and support program improvement and evaluation in employment and education.

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

• Participating 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.
• Designing 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.
• Collaborating with state and local organizations through conducting evaluations or refining their programs.
• Presenting findings and disseminating information to policy, practitioner, and researcher audiences.

Skills

Causal inference

Quantitative analysis

R

Python

Stata

Teamwork

Communication

Education

Ph.D. in economics/public policy/education/sociology/statistics

Master's degree with causal inference coursework

Tools

R

Python

Stata

Job description

Mathematica is seeking a quantitative researcher to join our division to support rigorous, data-driven, evidence-building activities. Our researchers support ongoing project teams in the planning and execution of projects for clients such as the U.S.

Departments of Education and Labor, NSF, Gates Foundation, and state agencies. We seek expertise in causal inference and social policy research to conduct studies and support program improvement and evaluation in employment and education.