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 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

Zocdoc will consider sponsoring a new qualified applicant for employment authorization for this position. This role is tech-eligible for visa sponsorship.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. M.G.L. c. 149, § 19B(2)(b).

Benefits

If NYC Hybrid (SoHo):

Flexible, hybrid work environment at our convenient Soho location

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

Employee Resource Groups and ZocClubs to promote shared community and belonging

Great Place to Work Certified

If CA Office Hybrid (San Jose):

Flexible, hybrid work environment at our convenient Silicon Valley location

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

Employee Resource Groups and ZocClubs to promote shared community and belonging

Great Place to Work Certified

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