Data Science Manager Provider Product

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked.   We’re here to give power to the patient.  For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. 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 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