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 including education, early childhood, family support, nutrition, and employment. 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 employee stock ownership plan (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. Read more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance
One of Mathematica’s core values is a deep commitment to diversity, equity, and inclusion. Our research is more robust because it is informed by a variety of diverse perspectives, and our mission to improve societal well-being is strengthened by a greater understanding of issues and challenges facing the populations we serve. Mathematica’s ongoing commitment to diversity and inclusion is woven into our everyday actions, policies, and practices. We are dedicated to maintaining a work environment in which everyone is treated with respect and dignity.
We are looking for an experienced professional with strong data engineering skills and interest in one or more of the following areas: family support, education, child welfare, nutrition, employment, or criminal justice who can support and help grow our portfolio of data analytics work.
The following projects illustrate some of our recent analytics work:
You will work in a multidisciplinary setting that includes staff with degrees in computer science, data science, statistics, economics, mathematics, business, public policy, and related fields. We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems. This collegial spirit has helped us earn our reputation for innovative and high-quality work. As a winner of the Excellence in Diversity Award, we know that building an inclusive culture based on the diverse strengths of employees from different backgrounds is key to our success.
Preferred, But Not Required
This position offers an anticipated annual base salary range of $100,000 - $140,000. This position is eligible for a discretionary bonus based on company and individual performance. To apply, please submit a cover letter, resume, location preference, and salary expectations. To select Remote as your location, please select no preference.
Various federal agencies with whom we contract require that staff successfully undergo a background investigation or security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance. Must be able to pass a public trust background investigation.
STAFFING AGENCIES AND THIRD PARTY RECRUITERS: Mathematica is not accepting candidates for this role or any technical role from staffing agencies or third party recruiters. Please do not contact technical or senior staff at Mathematica or share unsolicited resumes. All agency inquiries go through the talent acquisition team and will be routed accordingly.
Although Mathematica does not require vaccination from COVID-19 as a condition of employment, various projects or agencies may require documentation of vaccination (or an approved exception/accommodation).
Available Locations: Remote; Princeton, NJ; Washington, DC
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.