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 an intellectually curious Data Analytics Developer in any of our locations with experience in data management and statistical programming for data analytic and research projects in the Education and Employment area. The Data Analytics Developer will contribute to intensive data wrangling, advanced programming, administrative data collection and/or data management tasks. They will also apply knowledge of programs, policy, and/or data content, as well as econometric and statistical methods, when they acquire, clean, manipulate, manage, and analyze data. These tasks will most often be accomplished using a combination of statistical programming packages like R and Stata, as well as SQL and Python, on both cloud-hosted and more traditional platforms. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in education and employment data are strongly encouraged to apply.
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Job Type
Full-time
Career Level
Mid Level