Data Scientist
Role Overview
This mid-level Data Scientist role involves analyzing large-scale claims and product engagement data to measure health outcomes, cost savings, and identify patterns for business improvement. Day-to-day responsibilities include designing observational studies, building analysis pipelines in Python and Spark, and contributing to ML products like risk models. The hire will have high impact on a small team, directly influencing sales, product decisions, and company strategy through close collaboration with cross-functional teams.
Perks & Benefits
The role offers a remote setup with no specific location mentioned, implying flexibility in time zones, and includes direct mentorship from the team lead for career growth. It provides increasing ownership and high-impact work in a collaborative environment, with opportunities to shape company strategy and influence product direction. Benefits likely include standard tech perks such as health insurance and professional development support, based on typical remote tech job assumptions.
Full Job Description
Job SummarySolera 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 deliverPlease mention the word **STAUNCHNESS** and tag RMmEwMTo0Zjk6NWE6NGQ1Mjo6Mg== when applying to show you read the job post completely (#RMmEwMTo0Zjk6NWE6NGQ1Mjo6Mg==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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