Data Scientist; Remote Eligible

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.

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.
We are
looking for a Data Scientist who will derive meaning from data through
the creation and deployment of data-driven approaches to solve problems and
answer important policy questions for clients. A Data Scientist owns data
processing and analysis tasks and supports more senior level data science staff
in implementing statistical, machine learning, generative AI, and other data
science methods for use in research reports, internal systems, or client
systems. Data Scientists will work on all aspects of the data science project life
cycle, including understanding client needs, building data pipelines,
monitoring data quality, developing documentation, creating visualizations,
brainstorming modeling approaches, and implementing those models. Our data
scientists underpin our company's core offerings in program improvement, policy
assessment, and data science, which yield crucial evidence and information for
policy and decision makers. This
position will work remotely or flexibly in one of our office locations.
The ideal
candidate for this open Data Science position has a strong interest in applying
their skills to healthcare and a strong statistical background in causal
inference and supporting methodologies such as imputation, matching,
weighting, regression, quasi-experimental methods, and synthetic-comparison
methods, among others. In addition to the required technical skills below, our
healthcare-focused data scientists strongly benefit from additional knowledge
of SQL or Scala, experience with big data analysis platforms such as Databricks
or Snowflake, and familiarity with healthcare datasets such as Medicare or
Medicaid claims and enrollment data and electronic medical records.
Example
projects include:

• Evaluate and monitor the impacts of an alternative payment model for primary care in terms of care quality, cost, and health outcomes for diverse beneficiaries, using claims from thousands of primary care practices across the country. Use the same data to predict future hospital costs and behavior.
• Develop and evaluate a reproducible benchmarking pipeline to compare state healthcare spending against peer markets nationwide, harmonizing multi-source claims and Census data, applying statistical matching to select comparable regions, and normalizing spending through…