Note: The job is a remote job and is open to candidates in USA. Mathematica is a company that applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. They are seeking a masters-level Statistical Analyst to evaluate and improve social programs and policies, utilizing statistical and quantitative methods under the guidance of senior statisticians.

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

Skills

• 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
• 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

Benefits

• Competitive salaries and a comprehensive benefits package
• Advantages of being 100 percent employee owned
• Financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength
• 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
• Mentorship of more senior statisticians and subject-matter experts, learning new techniques and familiarizing themselves with new topic areas through involvement in analyses
• Coworking spaces where available

Company Overview

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