About Mathematica:

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. Read more about our benefits here.

Primary Duties and Responsibilities:

We are seeking an intellectually curious Sr. Data Analytics Developer in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy. The ideal candidate would have excellent knowledge of Python, Databricks and Medicare data, and will work in languages such as Python and SQL, or other data engineering or statistical programming languages. 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 health care data are strongly encouraged to apply.

Responsibilities:

• Leading the development of scalable data pipelines and analysis systems involving large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy
• Providing creative and best practice solutions for data processing optimization, commonly on cloud computing platforms
• Ensuring data quality through all stages of data processing with rigorous quality control
• Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found
• Mentoring junior developers to follow technical standards and best practices, and may lead small teams of 2-3 developers

Required Qualifications:

• Bachelor’s degree with a strong academic record in computer science, economics, applied mathematics, statistics, public health, public administration, public policy, sociology, political science, or a related field; Master’s degree preferred
• 5+ years of in-depth programming experience in a professional and/or academic environment
• Programming expertise using Python, SQL, SAS, R, Stata, or a similar data engineering or statistical language
• Experience performing data pipelining or analytics using cloud computing platforms and services, such as Databricks, Amazon Web Services (AWS), Google Cloud Platform (GCP), and/or Microsoft Azure, and/or Databricks is strongly preferred
• Strong organizational and communication skills, and the ability to build consensus and lead teams
• Excellent written and oral communication skills, including an ability to explain technical concepts and/or engineering approaches to a non-technical audience.
• Experience processing and analyzing health care claims, especially Medicare data is preferred.
• Subject-matter knowledge in healthcare data preferred.
• Has the ability to pass a background investigation or security clearance for federally contracted project work; holding an active Centers for Medicare and Medicaid (CMS) Enterprise User Administration (EUA) ID preferred.

This position offers an anticipated annual base salary range of $90,000 to $130,000. This position may be eligible for a discretionary bonus based on company and individual performance.

To apply, please submit cover letter, resume, location preferences, salary requirements, and code samples via our careers page. Please include a code sample (up to three) which best represents your current programming skills, preferably in Python. If you include a GitHub, please call out the specific samples you want to highlight. If you do not have code available in these preferred languages, please send a code sample in an alternate language.

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.

At Mathematica, we understand the importance of building relationships with colleagues. If you’re not located near one of our offices but would like opportunities to meet up with co-workers, we offer coworking spaces where available. Ask your Talent Acquisition partner for more information about this opportunity and whether it’s an option in your area.

Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo 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. Additionally, if you participate in/complete the application process and are denied, Mathematica may choose to terminate your employment.

We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high quality work.