Execute and contribute to the design of observational studies using claims data (e.g., case-control matching, difference-in-differences, propensity score methods)
Conduct analyses to measure the cost and outcomes impact of Solera's programs
Investigate product and engagement data to identify patterns, drop-off points, and opportunities to improve outcomes
Build and maintain analysis and modeling pipelines in Python and Spark for feature engineering, cohort construction, and outcomes measurement
Contribute to the team's ML products (e.g., risk models, patient matching) through feature development, evaluation, and iteration
Collaborate cross-functionally with health economics, clinical, product, sales, and engineering teams to interpret results and deliver actionable insights
Document methodologies and findings clearly enough to withstand external scrutiny
Work with cloud data infrastructure (BigQuery, GCS, Dataproc) to query, transform, and analyze large datasets

Bachelor's degree in Computer Science, Data Science, Statistics, Biostatistics, Mathematics, or a related quantitative field (required)
Master's degree in Biostatistics, Statistics, or a related discipline strongly preferred — or a CS/Data Science degree with significant coursework in statistics, causal inference, and study design
1-3 years of professional experience in data science, statistical analysis, or quantitative research (graduate research, thesis work, or internships count)
Strong foundation in statistical methods: regression, hypothesis testing, study design
Familiarity with causal inference concepts and when they apply — through coursework, research, or professional experience
Ability to assess data quality, identify inconsistencies, and understand how upstream issues affect downstream results
Python and SQL proficiency — you will build and maintain analysis pipelines, not just run ad-hoc queries. We will train you on our stack (PySpark, BigQuery, GCS), but you should be comfortable writing and reviewing code in a collaborative engineering environment.

Data Scientist

Key skills