Position Description: 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. 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. Learn more about our benefits here: At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success. We are seeking an intellectually curious 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 will work in languages such as Python and SQL. 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: Working with large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy Interpreting requirements and specifications to develop performance measures based on cost and quality of care for evaluating the effectiveness of numerous health care policies Articulating findings and working with researchers to adjust specifications and code as interim results are found Evaluating the potential of creative ideas for service delivery and payment models to improve the health outcomes and well-being of patients, and to reduce spending for Medicare, Medicaid, and other payers Position Requirements: Requirements: A bachelor’s degree with a strong academic record in economics, mathematics, statistics, biostatistics, public health, public administration, public policy, sociology, political science, or a related field 1-5 years of programming experience in a professional or academic environment. Programming experience using SAS, Python, R, Stata or SQL Experience performing analytics using cloud computing platforms and services, such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and/or Databricks is strongly preferred Strong organizational and communication skills, and the ability to work with others. Experience with some of the following statistical and/or quantitative methods preferred: 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, survey statistics and predictive modeling. Excellent written and oral communication skills, including an ability to translate statistical methods and findings for a non-technical audience. Subject-matter knowledge in health policy preferred. This position offers an anticipated annual base salary range of $70,000 to $100,000. 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 sample via our website. Please include a code sample (or two or three) which best represents your current programming skills, preferably in Python or SQL. 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. 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. Staff in our Health unit will eventually work with our largest client, Centers for Medicaid & Medicare Services (CMS). Most staff working on CMS contracts will be required to complete a successful background investigation including the Questionnaire for Public Trust Position SF-85. Staff that are unable to successfully undergo the background investigation will need to be able to obtain work outside CMS. Staff will work with their supervisor to get re-staffed, however if they are unable to do so it may result in employment termination due to lack of work. Available Locations: Washington, DC; Princeton, NJ; Remote To select “Remote,” please choose “no preference.”
#LI-AR1 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.
databricks SAS Political science Data Analyst mathematics Python Amazon Web Services (AWS) Azure R Performance measurement Google Cloud Platform (GCP) SQL economics regression stata