Statistical Analyst (Remote Eligible)

Mathematica Inc•Washington, DC

1d•Remote

About The Position

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. We are seeking a masters-level Statistical Analyst to join our vibrant group of over 20 statisticians and data scientists. The contributions of our statisticians and statistical analysts underpin our ability to produce crucial evidence for policy and decision makers, ultimately furthering our mission to improve public well-being. For example, our statistical analysts have contributed to projects developing COVID-19 decision tools, extending state-of-the-art methods for identifying treatment effect heterogeneity to enhance primary care delivery, and leveraging Bayesian factorial design to improve the presentation of school choice information to low-income parents. As part of their employment, statistical analysts benefit from the mentorship of more senior statisticians and subject-matter experts, learning new techniques and familiarizing themselves with new topic areas through involvement in analyses.

Requirements

Master’s degree with quantitative discipline, such as statistics, biostatistics, applied mathematics, quantitative economics, survey methodology, data science, or a related field, or an equivalent combination of education and experience
Coursework or experience in some of the following statistical and/or quantitative methods: causal inference at both the design (matching or weighting for comparison group selection) and analysis (regression) phases, experimental design, Bayesian inference, hierarchical/multilevel modeling, longitudinal data analysis, performance measurement, SEIR modeling, spatial statistics, small area estimation, survey sampling, non-response weighting, power calculation, and predictive modeling
Fluency in one or more of the following statistical programming languages: R (preferred), Python, Stan, Julia, Stata, or SAS
Excellent written and oral communication skills, including an ability to translate statistical methods and findings for a non-technical audience

Nice To Haves

Experience contributing to written deliverables, such as proposals, technical reports, or academic manuscripts
Background or interest in social policy research and a focus on health policy research

Responsibilities

Apply statistical and quantitative methods to evaluate and improve social programs and policies, with the oversight of more senior statisticians.
Assist in designing rigorous studies, determining appropriate analytic methods, selecting survey samples, calculating nonresponse adjustments, analyzing survey responses, and interpreting findings.
Write programs to perform all stages of quantitative analysis, including: (1) conduct data extraction, cleaning, and manipulation, (2) apply advanced statistical and quantitative techniques appropriate for both survey and administrative data, and (3) develop programs to calculate descriptive statistics, populate tables, and visualize results.
Draft sections of reports, including technical appendices, and presentations for colleagues, policymakers and other stakeholders.
Communicate findings to internal project teams via memos, presentations, or markdown files.