Remote job
Data Scientist: Product
Job details
About this role
Role overview
Use product data to help teams understand how people choose, enroll in, and use health benefits. You’ll own the metrics and analytical foundation that guide product and operational decisions, from investigating user friction to evaluating proposed changes.
Responsibilities
- Partner with product and operations teams to investigate business questions and shape priorities. - Define and maintain success measures at both company and feature level. - Analyze user journeys, engagement, and operational patterns to find obstacles and opportunities. - Design and assess experiments to understand the effects of product changes. - Build and maintain data models, metrics, dashboards, and tools for analysis. - Improve data quality, event tracking, and self-service reporting so teams can make informed decisions.
Requirements
- Experience applying analytics, data science, and experimentation to product decisions. - Strong SQL skills and experience with dbt or a comparable data transformation tool. - Experience building analytical models and dashboards with business intelligence or visualization tools. - Proficiency in Python for analysis, experimentation, or statistical modeling. - Sound product judgment and the ability to turn complex findings into clear recommendations. - Ability to work independently, handle ambiguity, and collaborate across teams.
Nice to have
- Experience influencing product roadmaps or building experimentation practices, including guardrail metrics and analysis methods. - Familiarity with funnels, retention, cohorts, or engagement across complex customer journeys. - Experience with statistical or machine learning models for segmentation, forecasting, propensity, or recommendations. - Background in healthcare, fintech, or another regulated field; familiarity with application data and event instrumentation is also useful.
Benefits and work setup
The role centers on analytics and data modeling. The listed stack includes Snowflake, SQL, dbt, Omni, Hex, and Python, with GitHub and CI/CD for development workflows.