Quantitative Policy Researcher, Human Services — ESOP Benefits

Mathematica, Inc.; Cambridge (MA); Remote; USD 100,000 - 135,000; Full time

Benefits offered by this job

Coworking spaces

Job summary

Mathematica, Inc. is seeking researchers to join its Human Services department in Cambridge, MA.

You will conduct quantitative studies and causal analyses to evaluate programs affecting TANF, employment, child welfare, and early childhood, collaborating with clients including federal and state agencies. The role emphasizes data-driven policy research, rigorous evaluation design, and the use of AI-enabled tools and visualization platforms to communicate findings to diverse audiences.

Qualifications

• Strong quantitative analytical skills; training in causal inference preferred.
• Experience with programming languages such as R, Python, or STATA.
• Excellent written and oral communication; ability to translate findings for practitioners and policymakers.
• Willingness to learn and apply AI and new analytic methods.

Responsibilities

• Collaborate with senior staff to apply rigorous quantitative methods, study design, causal inference, and econometric analysis.
• Design rigorous mixed-method evaluations and data collection strategies.
• Link administrative data with analytical approaches to inform policy decisions and program implementation.
• Synthesize data into accessible briefs, reports, blogs, and interactive dashboards.

Skills

Quantitative analysis

Causal inference

Communication

Learning new techniques

Education

PhD or equivalent in a quantitative field

Tools

R

Python

STATA

Job description

Mathematica, Inc. is seeking researchers to join its Human Services department in Cambridge, MA.

You will conduct quantitative studies and causal analyses to evaluate programs affecting TANF, employment, child welfare, and early childhood, collaborating with clients including federal and state agencies. The role emphasizes data-driven policy research, rigorous evaluation design, and the use of AI-enabled tools and visualization platforms to communicate findings to diverse audiences.