Senior Data Scientist, Provider Network

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…

• 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

Nice-to-haves

• An unrelenting desire to build more equitable, inclusive, and diverse workplaces
• Meaningful exposure to product strategy, experimentation, or two-sided marketplace or B2B product domains
• Experience with generative AI tools to improve workflows