Staff Data Scientist, Marketplace Analytics

About the Role

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

Responsibilities

• Leading experimentation and analytical strategy across product, growth, monetization, marketing, and operational initiatives
• Applying causal inference methodologies (difference-in-differences, synthetic controls, propensity methods, Bayesian experimentation) to real business questions where traditional A/B testing may not be feasible
• Partnering directly with directors and senior leaders to frame complex, cross-functional challenges and translate findings into clear recommendations that drive action
• Improving experimentation frameworks, metrics strategy, and analytical rigor across teams — developing scalable approaches for measurement, segmentation, forecasting, and incrementality
• Influencing roadmap prioritization and business strategy through rigorous analysis and precise communication of tradeoffs and uncertainty
• Mentoring and upskilling data scientists and analysts across the organization on experimentation, causal inference, and statistical best practices
• Partnering with Engineering, Product, and ML teams on instrumentation, data infrastructure, and analytics tooling
• Integrating generative AI tools into daily workflows to automate tasks, foster innovation, and maximize analytical productivity

Qualifications

• 8+ years of experience in Data Science, Product Analytics, Applied Analytics, or Experimentation, with a track record of solving high-impact, cross-functional business problems
• Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Machine Learning, Artificial Intelligence, Economics, Physics, or a related field; a Master's degree or PhD in a quantitative field is a plus
• Experience partnering with senior stakeholders across Product, Marketing, Revenue, Sales, Operations, or Customer Experience organizations to drive strategy through data
• Strong experimentation experience at scale, including causal inference methodologies applied to real-world, often messy business settings
• Advanced SQL proficiency and strong Python fluency, with the ability to work across large, complex datasets
• Ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity
• Familiarity with areas such as pricing/monetization analytics, growth/retention strategy, customer segmentation/lifecycle, marketing attribution/incrementality, or marketplace analytics
• Experience in fast-paced, high-growth environments (consumer technology, SaaS, fintech, marketplace, or platform companies)