About the Role
Job Summary
Solera is seeking a Data Scientist to join our Insights team. You will work with large-scale claims and product engagement data to answer questions that matter to the business: Does our product improve health outcomes? How much does it save? Where are patients disengaging, and why? Your analyses will directly support enterprise sales, inform product decisions, and shape company strategy. You will work closely with our health economics team to design and execute rigorous analyses that demonstrate real-world value to customers.
This is a high-impact role on a small team where your work directly influences business outcomes and product direction. You will be mentored directly by the team lead, with increasing ownership as you grow.
Key Responsibilities
- 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
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