Data Science Manager Provider Product

About this role

Our Mission

Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the 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.

Your Impact on our Mission

Zocdoc's most important asset is our people. As Manager, Data Science — Provider Products, you'll lead the analytical team that helps Zocdoc understand, grow, and serve the providers that are 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 is growing. This is a player-coach role – you get to contribute both through your individual work and your team’s. The expectation is that the decisions your team enables directly informs the Provider Products roadmap.

You'll enjoy this role if you are…

• 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

• The kind of person who can 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.

Your day to day is…

• Leading, coaching, and developing 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

• Setting and owning 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

• Reviewing and guiding analytical approaches — ensuring appropriate method selection, correct interpretation of results, and clear communication of uncertainty and limitations to stakeholders

• Overseeing experimentation and measurement practices, ensuring success metrics, guardrails, and learning goals are well-defined before work begins

• Interfacing with senior leadership on making and measuring business decisions and opportunities

• Helping the team frame analytical problems effectively — balancing stakeholder asks with higher-leverage opportunities the team is uniquely positioned to pursue

• Identifying recurring analytical needs that can be standardized or shifted toward self-service, while protecting capacity for the high-judgment work that matters most

• Hiring and onboarding data scientists who meet Zocdoc's technical and analytical bar — evaluating candidates for statistical reasoning, problem framing, and intellectual rigor

• Working with cutting-edge generative AI tools to improve team workflows, analytical output, and capacity

You'll be successful in this role if you have…

• 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 tr

Similar jobs

• Data Science Manager — Tatari · New York, New York, United States
• Data Science Manager — Tatari · San Francisco, California, United States
• Data Science Manager — Hinge-health · San Francisco-HQ
• Data Science Manager — Fanduel · Jersey City, New Jersey, United States
• Data Science Manager — Tatari · Los Angeles, California, United States
• Manager, Data Science (Product Analytics) — Wikimedia · Remote
• Data Scientist Manager — Perpay · Philadelphia, Pennsylvania, United States
• Data Engineering Manager, Product — Anthropic · San Francisco, CA | New York City, NY | Seattle, WA