Principal Data Scientist, Growth and Membership Operations

Devoted Health • Waltham, MA

1d • Remote

About The Position

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), and 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. 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. Responsibilities and impact will include: 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.

Requirements

• 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.

Nice To Haves

• Experience in healthcare, insurance, fintech, or other complex operational domains
• Familiarity with sales, marketing, or membership operations data or regulated environments
• Comfort performing live analysis or collaborative debugging with stakeholders
• Experience incorporating ML or AI tools into operational workflows

Responsibilities

• 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.

Benefits

• Employer sponsored health, dental and vision plan with low or no premium
• Generous paid time off
• $100 monthly mobile or internet stipend
• Stock options for all employees
• Bonus eligibility for all roles excluding Director and above; Commission eligibility for Sales roles
• Parental leave program
• 401K program
• And more....

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees