Senior Data Scientist, Marketplace

Zocdoc•New York, NY

17d•Hybrid

About The Position

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.

Requirements

Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline
3–6 years of experience in data science roles, or equivalent experience through applied industry or research work.
Strong understanding of statistical concepts, including experimentation, causal reasoning, and predictive modeling
Expertise in SQL and advanced knowledge of an analytical programming language such as Python or R
Experience owning end-to-end analytical workflows, including data validation, method selection, and result interpretation
Ability to operate independently on moderately ambiguous problems and translate business questions into analytical approaches
Strong written and verbal communication skills, with the ability to clearly explain analytical results, limitations, and implications
Comfort providing feedback to peers and supporting the development of more junior data scientists

Nice To Haves

Master’s degree or PhD in a quantitative field is a plus, but not required.

Responsibilities

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
Quality, rigor, and robustness of analytical outputs, as measured through review feedback and stakeholder trust in conclusions
Effectiveness of analyses in informing product and business decisions, including clarity of recommendations and handling of uncertainty
Reliability and timeliness of delivery across multiple concurrent analyses or projects
Contribution to raising analytical quality within the team through feedback, review, and knowledge sharing

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
Sabbatical leave (for employees with 5+ years of service)
Competitive paid parental leave and fertility/family planning reimbursement
Cell phone reimbursement
Catered lunch everyday along with beverages and snacks
Employee Resource Groups and ZocClubs to promote shared community and belonging
Great Place to Work Certified