Senior Data Scientist, Provider Network

Job Purpose

At Zocdoc, we’re building the leading two-sided healthcare marketplace, helping millions of patients find the right care while enabling providers to grow their practices. The Provider team sits at the center of this mission, optimizing the balance between patient demand and provider supply to improve access, outcomes, and business performance.

We’re looking for a Senior Data Scientist to drive provider growth through a combination of marketplace insights, experimentation, and predictive modeling. In this role, you’ll tackle high-impact, real-world problems like:

• Where and how we should grow provider supply across markets
• How to optimize provider acquisition, retention, and lifetime value

You’ll operate at the intersection of Revenue and Strategy, partnering closely with Sales, Finance, and Product teams to shape decisions that directly impact both user experience and business outcomes.

This is a highly end-to-end role—you’ll define problems, design analyses, build models, and translate findings into clear recommendations for leadership. We care deeply about strong problem-solving and applied statistical thinking. While we value experience with experimentation and causal inference, we’re less focused on any specific methodology and more interested in your ability to apply the right approach to messy, real-world problems and influence cross-functional stakeholders.

This role is a strong fit for Data Scientists who have worked on marketplace dynamics, growth, or customer lifecycle problems in a B2B setting, and are excited to apply those skills to improving healthcare access at scale.

Essential Responsibilities

• Partner with commercial and product partners to drive business strategy by translating insights into actionable recommendations.
• Build models and analyses that drive provider growth—helping us understand supply and demand, improve provider revenue (LTV, acquisition cost), and predict churn to guide our commercial strategy.
• Work closely with Finance and business partners to improve forecasting and bring more data-driven rigor to planning and decision-making.
• Design and measure experiments to measure impact and guide decisions, using both A/B tests and other practical approaches for causal inference (e.g., Diff-in-Diff, synthetic control, propensity score matching).
• Partner with Sales, Revenue Operations, Finance, and Systems to ensure data quality and consistency in commercial tools (e.g., Salesforce) that enable insights and statistical modelling.

You’ll enjoy this role if you are…

• Passionate about transforming healthcare through data. You love finding signals in the noise — turning complex data into insights that shape meaningful products.
• Thrive at the intersection of business strategy, commercial execution, and data science.
• Get energy from complex, ambiguous problems and can translate them into structured analytical solutions.
• Go beyond surface-level symptoms to uncover root causes and growth opportunities.
• Have a passion for exploring data, building insights, and translating findings into action.

You’ll be successful in this role if you have...

• 7+ years of experience in data science or a related field, with a strong foundation in quantitative disciplines such as Statistics, Mathematics, Economics, Computer Science, or Engineering.
• Proven success in developing LTV models, survival models, uplift models, or similar frameworks for customer prediction, targeting, and optimization.
• Expertise in SQL and Python (e.g., pandas, NumPy, scikit-learn, statsmodels), along with strong experience in experimentation and causal inference, including experiment design, statistical analysis, and quasi-experimental methods.
• Ability to turn ambiguous business problems into clear analyses and communicate insights that influence stakeholders.
• Experience in cross-functional product environments, with the ability to collaborate effectively and contribute to mentoring and developing junior data scientists.

Nice to have...

• Master’s or PhD in a quantitative field such as Statistics, Economics, Applied Math
• Experience within a SaaS organization

Benefits:

• Flexible, hybrid work environment at our convenient Soho location
• Unlimited Vacation
• 100% paid employee health benefit options (including medical, dental, and vision)
• Commuter Benefits
• 401(k) with employer funded match
• Corporate wellness program with Wellhub
• Sabbatical leave (for employees with 5+ years of service)
• Competitive paid parental leave and fertility/family planning reimbursement
• Cell phone reimbursement
• Catered lunch everyday along with beverages and snacks
• Employee Resource Groups and ZocClubs to promote shared community and belonging
• Great Place to Work Certified