Summary
Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. They are seeking a Data Analytics Developer who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy.
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
- Providing creating 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
Skills
- A bachelor's degree with a strong academic record in computer science, 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 Python, SQL, SAS, R or Stata, or a similar data engineering or statistical language
- Strong organizational and communication skills, and the ability to work with others
- Excellent written and oral communication skills, including an ability to explain technical concepts to a non-technical audience
- Has the ability to pass a background investigation or security clearance for federally contracted project work
- Experience performing data pipelining or 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
- Subject-matter knowledge in healthcare data preferred
- Holding an active Centers for Medicare and Medicaid (CMS) Enterprise User Administration (EUA) ID is desired
Qualifications
Must Haves
- A bachelor's degree with a strong academic record in computer science, 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 Python, SQL, SAS, R or Stata, or a similar data engineering or statistical language
- Strong organizational and communication skills, and the ability to work with others
- Excellent written and oral communication skills, including an ability to explain technical concepts to a non-technical audience
- Has the ability to pass a background investigation or security clearance for federally contracted project work
Nice to Haves
- Experience performing data pipelining or 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
- Subject-matter knowledge in healthcare data preferred
- Holding an active Centers for Medicare and Medicaid (CMS) Enterprise User Administration (EUA) ID is desired
Benefits
- Discretionary bonus based on company and individual performance
- Employee stock owner
- Coworking spaces where available