# Senior Data Scientist, Provider Network

**Company:** [Zocdoc](https://hotfix.jobs/companies/zocdoc)
**Location:** Boston, MA, New York, NY
**Role:** Data Science
**Salary:** $190k – $270k/yr
**Experience:** 7+ years
**Skills:** SQL, Python, R, Experimentation, Causal Inference, Statistical Modeling, Generative AI, Product Analytics, Data Science, Machine Learning
**Posted:** 2026-07-30

> Lead and grow a team of data scientists supporting Zocdoc's Provider Products. Drive product strategy, experimentation, measurement, and high-impact analytics for a two-sided healthcare marketplace while building team capabilities and partnering with leadership on key decisions.

## Job Description

## 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

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