Remote Quantitative Researcher for Human Services

Mathematica, Inc.; United States; A distancia; USD 100.000 - 135.000; Jornada completa

Descripción de la vacante

Mathematica, Inc. is seeking a Quantitative Researcher in Human Services with expertise in causal inference and policy research to conduct studies and evaluations on TANF, child welfare, early childhood, and economic mobility. Remote eligible with collaboration across teams and clients including HHS and foundations.

The role emphasizes data-driven methods, mixed-methods design, and the use of AI-enabled tools to improve program outcomes. Strong communication skills required.

Formación

• Ph.D. or equivalent in economics, psychology, sociology, statistics, data science/data analytics, demography, or a related field. In lieu of a PhD, a Masters' degree with coursework in causal inference and demonstrated experience applying it to research will be considered equivalent
• Strong quantitative analytical skills. Training in causal inference methodologies is strongly preferred
• Experience working with programming languages, such as R, Python, or STATA
• Willingness to learn and apply new techniques or technology, including AI
• Excellent written and oral communication skills, including an ability to translate complex research methods and findings for a practitioner and policy audience
• Understanding of federal human services policies and programs is strongly preferred
• Experience with, or knowledge of, large-scale federal and/or other administrative data sets is desirable

Responsabilidades

• Collaborate with senior staff in a multidisciplinary environment to apply rigorous quantitative research methods, including study design, causal inference, data management, and statistical and econometric analysis for describing or evaluating programs and policies
• Learning and applying new methods, tools, and technologies, including AI-enabled tools, data visualization platforms, and emerging analytic approaches
• Designing rigorous mixed-methods evaluations, including primary and secondary data collection
• Applying innovative research approaches and advanced statistical methods to answer policy-relevant questions
• Working with data scientists to link and analyze administrative data
• Helping to develop proposals for new research projects
• Guiding program staff and policymakers in the use of evidence to make decisions about program selection and adaptation
• Synthesizing and presenting data in accessible formats for a variety of audiences, including writing briefs, reports, blogs, and articles; and developing interactive data dashboard and visualizations

Conocimientos

Quantitative analysis

Communication skills

Willingness to learn

Causal inference

Federal policy knowledge

Educación

PhD in economics/related

Masters with causal inference coursework

Herramientas

R

Python

STATA

Descripción del empleo

Mathematica, Inc. is seeking a Quantitative Researcher in Human Services with expertise in causal inference and policy research to conduct studies and evaluations on TANF, child welfare, early childhood, and economic mobility. Remote eligible with collaboration across teams and clients including HHS and foundations.

The role emphasizes data-driven methods, mixed-methods design, and the use of AI-enabled tools to improve program outcomes. Strong communication skills required.