Staff Data Scientist, Marketplace Analytics

Your Impact on our Mission

Zocdoc's mission is simple and hard: give power to the patient. We are the nation's leading digital healthcare marketplace — connecting millions of patients to the right care, faster than ever.

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 work on some of 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 the analytical strategy, apply rigorous experimentation and causal inference frameworks at scale, and turn structured thinking into decisions that shape how Zocdoc grows.

This is a high-visibility, high-impact individual contributor role. Success here is measured not just by the quality of your analyses, but by the clarity, influence, and scalability of the thinking you bring to the teams around you.

You'll enjoy this role if you are…

• Energized by working at the intersection of product strategy, growth, monetization, and experimentation and genuinely excited to go deep on all of it
• The kind of person who frames the problem before jumping to the analysis and understands that question-setting is half the work
• Comfortable operating with ambiguity and decisive under uncertainty you know how to move fast without sacrificing rigor
• A force multiplier — you get real satisfaction from enabling other teams to make better decisions, not just from what you personally build
• Passionate about connecting technical work to real business outcomes — you know that a great model no one acts on is a missed opportunity
• Serious about your work, but not about yourself — you understand that great outcomes come from trust, collaboration, and a healthy sense of perspective

Your day to day is…

• Leading experimentation and analytical strategy across product, growth, monetization, marketing, and operational initiatives, often simultaneously
• Applying causal inference methodologies (difference-in-differences, synthetic controls, propensity methods, Bayesian experimentation) at scale