Impact-Driven Quantitative Researcher, Human Services (ESOP)

Mathematica, Inc.; Washington (District of Columbia); Remoto; USD 100.000 - 135.000; Tempo pieno

Vantaggi offerti da questo lavoro

Employee ownership (ESOP)

Comprehensive benefits

Descrizione del lavoro

Mathematica, Inc. is hiring researchers for the Human Services department to conduct quantitative research, causal inference, and policy evaluation on topics like TANF, employment, child welfare, and early childhood.

The role involves rigorous, data-driven projects for clients including HHS, state agencies, and foundations. Ideal candidates have PhD (or equivalent) in a related field or a Masters with causal inference training, strong programming skills in R/Python/STATA, and excellent

Competenze

• PhD or equivalent in a related field; Masters with causal inference coursework considered
• Strong quantitative analytical skills with training in causal inference preferred
• Experience with programming languages such as R, Python, or STATA
• Willingness to learn and apply AI/tools in analyses
• Excellent written and oral communication for policy audiences
• Understanding of federal human services policies preferred
• Experience with large-scale federal or administrative data sets desirable

Mansioni

• Collaborate with senior staff to apply rigorous quantitative methods in study design, causal inference, data management, and econometric analysis
• Learn and apply new methods, tools, and technologies including AI-enabled tools and data visualization platforms
• Design rigorous mixed-methods evaluations with primary and secondary data collection
• Apply advanced statistical methods to policy questions
• Work with data scientists to link and analyze administrative data
• Help develop proposals for new research projects
• Guide program staff and policymakers in using evidence for decisions
• Synthesize and present data in accessible formats and develop interactive dashboards

Conoscenze

Quantitative analysis

Causal inference

Programming (R, Python, STATA)

Communication (oral & written)

Policy knowledge

Formazione

PhD in economics, psychology, sociology, statistics, data science, demography, or related field

Strumenti

R

Python

STATA

Descrizione del lavoro

Mathematica, Inc. is hiring researchers for the Human Services department to conduct quantitative research, causal inference, and policy evaluation on topics like TANF, employment, child welfare, and early childhood.

The role involves rigorous, data-driven projects for clients including HHS, state agencies, and foundations. Ideal candidates have PhD (or equivalent) in a related field or a Masters with causal inference training, strong programming skills in R/Python/STATA, and excellent