Senior Data Scientist, Marketplace

Your Impact on our Mission:

The Senior Data Scientist role on the Marketplace Insurance team exists to independently deliver rigorous, high-impact analyses that inform product and business decisions within Zocdoc’s core marketplace. As part of the Marketplace Analytics team, this role supports efforts to drive patient demand, optimize the search and booking experience, and maintain a healthy, high-performing two-sided marketplace.

In this role, you will focus on the Insurance product area, helping patients better understand their coverage—one of the most critical factors in successfully matching patients with providers. You will partner closely with Product, Engineering, Design, and cross-functional stakeholders to frame complex analytical problems, define how we measure patient understanding and success, and identify opportunities to reduce friction in insurance-related workflows.

You will own end-to-end execution of analyses and experiments, applying strong statistical and analytical methods to generate clear, defensible recommendations that guide product prioritization and strategy. Success in this role requires sound analytical judgment and the ability to balance rigor, speed, and ambiguity, along with a strong foundation in technical execution and analytical craftsmanship.

You'll Enjoy this Role if You Are...

• Track record of independently executing end-to-end analyses to answer complex product and business questions, from problem framing through insight delivery
• Select and apply appropriate analytical and statistical methods based on the decision context
• Design, execute, and analyze experiments end-to-end, evaluating experiment quality and clearly communicating results, limitations, and uncertainty
• Lead structured investigations into metric changes by identifying plausible drivers, prioritizing hypotheses, and defining focused analytical plans
• Define success, guardrail, and diagnostic metrics for features or initiatives within their domain, with alignment from senior stakeholders
• Partner with Product, Engineering, and Data Engineering to ensure measurement readiness, analytical QA, and correct interpretation of results
• Anticipate and surface data quality, instrumentation, or measurement issues that could materially affect conclusions, and work with partners to resolve them
• Communicate analytical findings and recommendations clearly to stakeholders, focusing on implications, tradeoffs, and next steps
• Document analytical context, methods, and decisions in a way that enables reuse and learning across the team
• Provide informal mentorship and guidance to Data Scientists, supporting their analytical development and quality of work

Your Day-to-Day is...

• Quality, rigor, and robustness of analytical outputs, as measured through review feedback and stakeholder trust in conclusion