Principal Data Scientist, Devoted Health

• We are eager to find problem-solvers who iterate quickly, embrace ambiguity, and are deeply committed to our mission
• You care about building strong technical foundations that enable real impact for our members and colleagues
• You’re excited by the evolving AI landscape, but grounded in fundamentals, treating AI and LLMs as powerful tools to accelerate problem-solving, not a replacement for clear thinking or strong data models
• You have deep experience partnering with stakeholders across an organization to solve complex problems
• You are comfortable defining both the question and the measurement approach
• You can move fluidly between SQL, modeling, experimentation, and strategic conversations
• You enjoy building durable systems, not just running one-off analyses
• You are collaborative and excited by hard problems
• Ability to thrive in a fast-paced, high-growth environment that values quick iteration
• 7+ years of individual technical contributor experience
• Strong SQL and experience working in modern data ecosystems (Snowflake, dbt, Python, Looker or similar)
• Skilled at collaborating with cross-functional teams and influencing decisions with data-driven insights
• Comfort building scalable, maintainable data pipelines and performing deep statistical analysis, predictive modeling, or experimental design to drive business strategy
• Desired skills and experience:

Desirable

• As a Principal Data Scientist, you'll be a senior analytical partner embedded across Growth and Membership Operations. Two teams that are fundamental to how Devoted acquires members and ensures a smooth enrollment process. Your work spans four domains:
• Sales Operations (agent readiness, compliance, performance)
• Marketing (prospect targeting, campaign attribution, spend optimization)
• Telesales (call volume forecasting, agent productivity, workforce planning)
• Membership Operations (enrollment processing, premium billing, CMS transactions, plan reconciliation)
• You will work across these teams to define ambiguous problems, determine what “good” looks like, and design the data systems that help us get there. You will combine deep technical skill, structured problem solving, and cross-functional partnership to turn messy operational challenges into clear, measurable, scalable solutions
• Framing ambiguous problems, defining what success looks like, and translating business challenges into measurable analytical strategies
• Owning and evolving scalable data models, pipelines, and core metrics that serve as the long-term foundations for operational performance in Sales and Membership Operations
• Building and iterating on analytical and modeling solutions, shipping quickly, learning from real-world feedback, and refining systems to drive measurable impact
• Leveraging emerging ML/AI tools thoughtfully, integrating them into production workflows where they add leverage, grounded in strong data fundamentals and clear business outcomes