zocdoc

Senior Data Scientist, Marketplace

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At a Glance

Location
New York, United States
Experience
3–6 years
Posted
2026-03-23T11:51:52-04:00

Key Requirements

Required Skills

Data SciencePythonSQL

Domain Knowledge

  • Engineering

Benefits & Perks

Time Off

Soho location Unlimited Vacation 100% paid employee health ben

Requirements

statistical concepts, including experimentation, causal reasoning, and predictive modeling

and advanced knowledge of an analytical programming language such as

Experience owning end-to-end analytical workflows, including data validation, method selection, and result interpretation

and translate business questions into analytical approaches

Comfort providing feedback to peers and supporting the development of more junior data scientists

Compensation & Benefits

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

Responsibilities

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.