Data Science Manager Provider Product

Our Mission: Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories, wait on hold, wait weeks for the privilege of a visit, wait in rooms solely designed for waiting, and then wait for a surprise bill. In any other consumer industry, companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power—which means they are expected to accept the unacceptable. Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down. We’re 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.

About the role

As Manager, Data Science — Provider Products, you'll lead the analytical team that helps Zocdoc understand, grow, and serve the providers fueling Zocdoc to become America’s scheduling layer. Your team sits at the center of some of the most consequential product and commercial decisions at Zocdoc—from how providers onboard and engage with our platform, to how our SaaS products create measurable value in their practices. This role is as much about building a team as it is about leading one. You'll be joining a small team of data scientists today, with the expectation to hire more as the work grows. This is a player-coach role—you contribute both through your individual work and your team’s. The expectation is that the decisions your team enables will directly inform the Provider Products roadmap.

Responsibilities

• Lead, coach, and develop a team of Data Scientists and Senior Data Scientists focused on Zocdoc's Provider Products—building analytical judgment, technical rigor, and comfort with ambiguity across the team.
• Set and own the analytical direction for the provider domain—driving product strategy, experimentation, and measurement work while developing a strong understanding of the underlying data sources and pipelines that power your team's analysis.
• Review and guide analytical approaches—ensuring appropriate method selection, correct interpretation of results, and clear communication of uncertainty and limitations to stakeholders.
• Oversee experimentation and measurement practices, ensuring success metrics, guardrails, and learning goals are well-defined before work begins.
• Interface with senior leadership on making and measuring business decisions and opportunities.
• Help the team frame analytical problems effectively—balancing stakeholder asks with higher-leverage opportunities the team is uniquely positioned to pursue.
• Identify recurring analytical needs that can be standardized or shifted toward self-service, while protecting capacity for the high-judgment work that matters most.
• Hire and onboard data scientists who meet Zocdoc's technical and analytical bar—evaluating candidates for statistical reasoning, problem framing, and intellectual rigor.
• Work with cutting-edge generative AI tools to improve team workflows, analytical output, and capacity.

Requirements

• An unrelenting desire to build more equitable, inclusive, and diverse workplaces.
• 6–9+ years of experience in data science, product analytics, or applied quantitative roles—ideally with meaningful exposure to product strategy, experimentation, or two-sided marketplace or B2B product domains.
• 1–3+ years of experience managing or formally mentoring data scientists, with a track record of growing analytical judgment in others.
• The ability to create and implement structure around complex business spaces to incentivize the best possible business decisions.
• Staff-level technical grounding in experimentation, causal inference, statistical modeling, and analytical problem selection.
• Expertise in SQL and an analytical programming language such as Python or R, with the ability to review and assess complex analytical work.
• Comfort working with complex or evolving data sources—you understand how data gets created and shaped upstream, and you use that understanding to guide your team toward more reliable, better-framed analyses.
• Experience guiding teams through ambiguous problems and high-stakes decision contexts—particularly in product environments where the analytical question matters as much as the answer.
• Proven ability to partner with Product and Engineering leaders on roadmap planning and prioritization.
• Strong communication skills: you can translate analytical nuance and uncertainty into clear, actionable guidance for non-technical stakeholders.
• The mentality of an owner and a bias to action—you set direction, move the work forward, and raise the bar without waiting to be asked.
• The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity.
• A Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Machine Learning, Artificial Intelligence, Economics, Physics, or a related field; a Master's degree or PhD in a quantitative field is a plus, but not required.

Skills

• Personally motivated by seeing your team's analysis translate into better product and business decisions—not just prettier outputs.
• Autonomous, urgent, and methodical. You hold a high technical bar without making the work feel heavy.
• Highly drawn to the intersection of people leadership and analytical depth—you want to develop great data scientists, not just manage them.
• Passionate about building a team culture where rigor, curiosity, and ownership are the norm.
• Confident assessing the tradeoff of speed vs. accuracy.
• Able to navigate upstream data complexity—understanding how data flows into the systems your team relies on—without losing sight of the product decisions you're ultimately trying to inform.
• Motivated to get your hands dirty alongside your team. Serious about your work, but not about yourself.

Benefits

• Flexible, hybrid work environment (NYC SoHo or Silicon Valley locations).
• 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 every day along with beverages and snacks (NYC office).
• Employee Resource Groups and ZocClubs to promote shared community and belonging.
• Great Place to Work Certified.

Pay

Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity.

• NYC Base Salary Range: $190,000—$270,000 USD
• Silicon Valley, CA Base Salary Range: $190,000—$270,000 USD