[Remote] Staff Data Scientist, Marketplace Analytics

Note: The job is a remote job and is open to candidates in USA. Zocdoc is the nation's leading digital healthcare marketplace, dedicated to empowering patients through easier access to care. In the role of Staff Data Scientist, Marketplace Analytics, you will lead analytical strategies and experimentation to address complex business challenges, working closely with senior leadership to drive actionable insights and influence business decisions.

Responsibilities

• Leading experimentation and analytical strategy across product, growth, monetization, marketing, and operational initiatives, often simultaneously
• 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

Skills

• 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
• A 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
• The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity
• Familiarity with areas such as: pricing and monetization analytics, growth and retention strategy, customer segmentation and lifecycle, marketing attribution and incrementality, or operational and marketplace analytics
• Experience in fast-paced, high-growth environments — consumer technology, SaaS, fintech, marketplace, or platform companies is highly relevant
• Humility — you believe in treating all people with dignity and respect, regardless of title or tenure

Benefits

• 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

Company Overview

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