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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 that guides decisions in a wide‑ranging set of policy areas, from health and education to early childhood, family support, nutrition, employment, disability, and international development.
Mathematica offers competitive salaries, a comprehensive benefits package, and the advantage of being 100 % employee‑owned. Employees can enjoy financial benefits from the ESOP, which has grown alongside the company’s financial strength, and participate in an independent firm that defines and advances its mission.
We are committed to building an inclusive culture that draws on the strengths of employees from diverse backgrounds, cultures, lifestyles, abilities, and experiences.
The ideal candidate is intellectually curious, passionate about using big data to answer research questions that influence U.S. health‑care policy, and proficient in Python and SQL. We encourage individuals who are eager to work with large, complex data sets, manipulate and analyze data, and become subject‑matter experts in health‑care data.
This position offers an anticipated annual base salary range of $78,000 to $100,000, and may be eligible for a discretionary bonus based on company and individual performance.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, age, national origin, religion, orientation, gender identity, status as a veteran, or basis of disability or any other federal, state, or local protected class.
Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require staff to successfully undergo security clearance as a condition of working on the project.