Staff Data Scientist, Marketplace Analytics & Strategy

Zocdoc; United States; Remote; USD 200,000 - 270,000; Full time

Benefits offered by this job

Unlimited vacation

Health benefits

401(k) match

Wellness program

Sabbatical

Parental leave

Job summary

Zocdoc is seeking a Senior/Staff Data Scientist to join the Data & Analytics team. You will lead analytical strategy, apply causal inference at scale, and partner with cross-functional leaders across Product, Marketing, Sales, Finance, Revenue, Operations, Customer Experience, and Platform to drive important business decisions.

You’ll tackle complex problems where questions aren’t predefined, designing experiments, building scalable measurement frameworks, and turning insights into actionable

Qualifications

• Bachelor’s degree in a quantitative field; advanced degree preferred.
• Strong background in data science, analytics, or experimentation.
• Experience partnering with senior stakeholders and driving strategy.

Responsibilities

• Lead experimentation and analytical strategy across product, growth, monetization, marketing, and operations.
• Apply causal inference methodologies to real business questions where traditional A/B testing may not be feasible.
• Partner with directors and senior leaders to frame challenges and translate findings into actions.
• Improve experimentation frameworks, metrics strategy, and analytical rigor across teams.

Skills

SQL

Python

Experimentation

Causal inference

Education

Bachelor’s degree in CS/DS/Statistics/Math/ML/AI/Economics/Physics

Master’s or PhD in quantitative field (plus)

Job description

Zocdoc is seeking a Senior/Staff Data Scientist to join the Data & Analytics team. You will lead analytical strategy, apply causal inference at scale, and partner with cross-functional leaders across Product, Marketing, Sales, Finance, Revenue, Operations, Customer Experience, and Platform to drive important business decisions.

You’ll tackle complex problems where questions aren’t predefined, designing experiments, building scalable measurement frameworks, and turning insights into actionable