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 to easily find and book care. As a Staff Data Scientist in Marketplace Analytics, you will lead analytical strategies and experimentation efforts, driving data-informed decisions across various departments to enhance the patient experience.
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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