Staff Data Scientist, Marketplace Analytics

Our Mission: Healthcare should work for patients, but it doesn’t. In their time of need, patients face outdated insurance directories, long hold times, weeks-long wait periods for appointments, and surprise bills. Unlike other consumer industries, healthcare lacks market power for patients. Zocdoc’s mission is to give power to the patient by building the leading healthcare marketplace that makes it easy to find and book in-person or virtual care across all 50 states, +200 specialties, and +12k insurance plans. By enabling patients to choose, we drive competition, improve quality, and lower prices. We’re 18 years old and the leader in our space, but we are still just getting started. If you thrive in solving important, complex problems alongside thoughtful, driven, and collaborative teammates, read on.

About the role

The Data & Analytics team is at the center of how Zocdoc grows, evolves, and makes high-stakes decisions at scale. As a Sr/Staff Data Scientist, you will be one of the most senior analytical voices at the company—a strategic thought partner to directors and senior leadership across Product, Marketing, Sales, Finance, Revenue, Operations, Customer Experience, and Platform. You’ll tackle Zocdoc’s most complex and ambiguous business problems, where the question itself isn’t always defined, and the right method doesn’t fit neatly into a playbook. You’ll lead analytical strategy, apply rigorous experimentation and causal inference frameworks, and shape how Zocdoc grows. This is a high-visibility, high-impact individual contributor role where success is measured by the clarity, influence, and scalability of your thinking.

Responsibilities

• Lead experimentation and analytical strategy across product, growth, monetization, marketing, and operational initiatives, often simultaneously.
• Apply causal inference methodologies (difference-in-differences, synthetic controls, propensity methods, Bayesian experimentation) to real business questions where traditional A/B testing may not be feasible.
• Partner directly with directors and senior leaders to frame complex, cross-functional challenges and translate findings into clear recommendations that drive action.
• Improve experimentation frameworks, metrics strategy, and analytical rigor across teams—developing scalable approaches for measurement, segmentation, forecasting, and incrementality.
• Influence roadmap prioritization and business strategy through rigorous analysis and precise communication of tradeoffs and uncertainty.
• Mentor and upskill data scientists and analysts across the organization on experimentation, causal inference, and statistical best practices.
• Partner with Engineering, Product, and ML teams on instrumentation, data infrastructure, and analytics tooling.
• Integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize analytical productivity.

Qualifications

• 8+ years of experience in Data Science, Product Analytics, Applied Analytics, or Experimentation, with a track record of solving high-impact, cross-functional business problems.
• 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.
• Experience partnering with senior stakeholders across Product, Marketing, Revenue, Sales, Operations, or Customer Experience to drive strategy through data.
• Strong experimentation experience at scale, including causal inference methodologies applied to real-world, often messy business settings.
• Advanced SQL proficiency and strong Python fluency, with the ability to work across large, complex datasets.
• Familiarity with areas such as pricing and monetization analytics, growth and retention strategy, customer segmentation and lifecycle, marketing attribution and incrementality, or operational and marketplace analytics.
• Experience in fast-paced, high-growth environments—consumer technology, SaaS, fintech, marketplace, or platform companies is highly relevant.
• An unrelenting desire to build more equitable, inclusive, and diverse workplaces.
• Humility—you believe in treating all people with dignity and respect, regardless of title or tenure.

Skills

• Energized by working at the intersection of product strategy, growth, monetization, and experimentation.
• Frames the problem before jumping to analysis—understands that question-setting is half the work.
• Comfortable operating with ambiguity and decisive under uncertainty—moves fast without sacrificing rigor.
• A force multiplier—enables other teams to make better decisions, not just from what you personally build.
• Passionate about connecting technical work to real business outcomes—knows that a great model no one acts on is a missed opportunity.
• Serious about your work, but not about yourself—understands that great outcomes come from trust, collaboration, and perspective.

Benefits

• 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.

Pay

Salary ranges are determined through alignment with market data. Base salary offered is based on experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity.

• NYC Base Salary Range: $200,000—$270,000 USD.
• Remote Base Salary Range: $200,000—$270,000 USD.