Data Scientist

About The Company

Zocdoc is the leading digital healthcare marketplace dedicated to transforming the patient experience by making healthcare more accessible, transparent, and efficient. Established in 2007, Zocdoc’s mission is to give power to the patient by providing a platform that simplifies the process of finding and booking in‑person or virtual care across all 50 states, encompassing over 200 specialties and more than 12,000 insurance plans. The company’s innovative approach bridges the gap between patients and healthcare providers, enabling seamless appointment scheduling, verified reviews, and real-time availability, thereby improving healthcare outcomes and patient satisfaction. Backed by prominent investors and committed to fostering a diverse and inclusive environment, Zocdoc continuously strives to enhance its platform and expand its impact within the healthcare industry.

About The Role

The Senior/Staff Data Scientist at Zocdoc plays a pivotal role in shaping the company's strategic decisions through advanced analytics and experimentation. As a senior analytical leader, you will collaborate closely with cross-functional teams including Product, Marketing, Sales, Revenue, Operations, Customer Experience, and Platform to address complex, ambiguous business challenges. Your primary responsibility will be to lead experimentation efforts, develop causal inference frameworks, and translate data insights into actionable recommendations that drive growth, monetization, and operational excellence. This role offers high visibility and the opportunity to influence key business strategies by applying rigorous analytical methods, developing scalable measurement approaches, and mentoring other data professionals. Success in this position is measured by your ability to provide clear, impactful insights that enable data-driven decision-making and foster a culture of analytical rigor across the organization.

Qualifications

• 8+ years of experience in Data Science, Product Analytics, Applied Analytics, or Experimentation
• Bachelor’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, Machine Learning, Artificial Intelligence, Economics, Physics, or related fields
• Master’s degree or PhD in a quantitative field is a plus
• Proven track record of solving high-impact, cross-functional business problems
• Experience partnering with senior stakeholders across Product, Marketing, Revenue, Sales, Operations, or Customer Experience
• Extensive experimentation experience at scale, including causal inference methodologies such as difference-in-differences, synthetic controls, propensity score methods, and Bayesian experimentation
• Advanced proficiency in SQL and Python, with the ability to analyze large, complex datasets
• Familiarity with pricing, monetization analytics, growth and retention strategies, customer segmentation, marketing attribution, and operational analytics
• Experience working in fast-paced, high-growth environments such as consumer technology, SaaS, fintech, marketplace, or platform companies
• Strong communication skills with the ability to translate complex data insights into clear recommendations
• Humility and a collaborative mindset, committed to fostering an inclusive work environment

Responsibilities

• Lead experimentation initiatives and develop analytical strategies across multiple teams including product, growth, monetization, and operations
• Apply causal inference methodologies to real-world, often complex and messy business questions where traditional A/B testing may not be feasible
• Partner with senior leaders to define cross-functional challenges and translate analytical findings into strategic recommendations
• Enhance experimentation frameworks, metrics strategies, and analytical rigor, developing scalable measurement, segmentation, and forecasting approaches
• Influence product roadmap prioritization and business strategies through rigorous analysis, clear communication of tradeoffs, and assessment of uncertainty
• Mentor and upskill other data scientists and analysts on experimentation best practices, causal inference, and statistical methodologies
• Collaborate with Engineering, Product, and Machine Learning teams to improve data instrumentation, infrastructure, and analytics tools
• Integrate generative AI tools into workflows to automate tasks, foster innovation, and increase analytical productivity

Benefits

• Unlimited paid vacation to promote work-life balance
• 100% paid employee health benefits including medical, dental, and vision coverage
• Commuter benefits to support daily transportation needs
• 401(k) plan with employer-matched contributions to support long-term financial planning
• Corporate wellness programs with Wellhub resources
• Sabbatical leave available for employees with over five years of service
• Paid parental leave and fertility/family planning reimbursement programs
• Cell phone reimbursement to offset communication expenses
• Catered daily lunches, beverages, and snacks to foster team bonding
• Participation in Employee Resource Groups and ZocClubs to promote community and belonging
• Recognition as a Great Place to Work Certified organization