Director of Data Science - Patient Experience
Leads a player-coach data science team and personally delivers product and business analyses, experiments, and strategic recommendations. Requires 10+ years of experience, people leadership, strong statistical and product analytics expertise, and proficiency in Python and/or SQL.
About the job
Responsibilities
- Lead analyses that inform product features addressing consumer pain points.
- Lead a data science team analyzing business and product performance.
- Design and conduct experiments, including A/B tests.
- Contribute to product planning and translate insights into product decisions.
- Guide analysts while driving individual data science projects.
- Collaborate with Product Managers, Engineers, Researchers, and Data Engineers.
- Translate technical findings for non-technical stakeholders through strong data storytelling.
Requirements
- 10+ years of related professional experience.
- Bachelor's or higher degree in Data Science, Mathematics, Economics, Computer Science, Statistics, or another quantitative field.
- 5+ years of data analytics or data science experience supporting multiple business functions.
- Solid people management experience, including building teams and developing talent.
- Deep experience with statistical analysis and A/B testing.
- Strong understanding of product analytics metrics, including retention, conversion, engagement, churn, and marketplace balance metrics.
- Expertise in Python and/or SQL.
- Familiarity with data visualization tools such as Looker and Tableau.
Nice-to-haves
- Experience in a high-growth startup or consumer digital marketplace.
- Healthcare experience.
- Ability to connect analytics insights to business strategy and influence decisions that drive revenue and growth.
- Experience incorporating AI into analytics or data science workflows.
- Experience with machine learning and ranking systems.
Compensation & Benefits
- ATS-listed salary range: $236,250–$280,298 USD.
- 100% remote work environment for employees based in the United States, excluding Hawaii.
- Medical, dental, vision, life, disability, and FSA/HSA benefits.
- 401(k) plan access.
- Generous time off, including company-wide shutdown weeks.
- Paid parental leave for all parents.
- Employee Assistance Program.
- Quarterly department stipend.
- Community and employee resource groups.
- Home office stipend and monthly internet or cell phone stipend.
- Wellness program and monthly wellness stipend.
Skills
Python, SQL, Statistical Analysis, A/B Testing, Product Analytics, Data Visualization, Looker, Tableau, Machine Learning, Ranking Systems, Artificial Intelligence, Data Storytelling
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