Data Scientist, Remote

About the Company

Zocdoc is the leading digital healthcare marketplace dedicated to transforming the patient experience by making healthcare more accessible, transparent, and efficient. Since its inception in 2007, Zocdoc has been committed to empowering patients by providing a platform where they can easily find and book in-person or virtual care across all 50 states, covering over 200 medical specialties and more than 12,000 insurance plans. The company's mission is rooted in addressing the frustrations and inefficiencies that characterize the traditional healthcare system—such as outdated directories, long wait times, and surprise billing—by introducing innovative solutions that prioritize patient choice and convenience. Backed by top investors and recognized as a Great Place to Work, Zocdoc continues to lead the industry in redefining healthcare access through technology and user-centric design.

About the Role

We are seeking a highly experienced Senior/Staff Data Scientist to join our Data & Analytics team. In this strategic, high-impact role, you will serve as one of the most senior analytical voices within Zocdoc, partnering directly with senior leadership across Product, Marketing, Sales, Revenue, Operations, Customer Experience, and Platform teams. Your primary responsibility will be to tackle some of the most complex and ambiguous business challenges, applying rigorous experimentation, causal inference, and advanced analytical techniques to inform decision-making and drive growth. You will lead the development of analytical strategies, influence product and business roadmaps, and mentor other data professionals. This role offers the opportunity to shape how Zocdoc evolves by translating data insights into actionable recommendations that impact the company's trajectory and improve healthcare outcomes for millions of users.

Responsibilities

• Lead experimentation and analytical strategies across multiple teams including product, growth, monetization, marketing, and operations.
• Apply advanced causal inference methodologies to address complex, real-world business questions where traditional A/B testing may not be feasible.
• Partner with senior leaders to frame cross-functional challenges, analyze data, and translate findings into clear, actionable recommendations.
• Enhance experimentation frameworks, metrics strategies, and analytical rigor by developing scalable measurement, segmentation, forecasting, and incrementality approaches.
• Influence product roadmaps and business strategies through rigorous analysis, tradeoff assessments, and clear communication of uncertainty.
• Mentor and upskill data scientists and analysts on experimentation, causal inference, and statistical best practices.
• Collaborate with Engineering, Product, and Machine Learning teams on data instrumentation, infrastructure, and analytics tooling.
• Integrate 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.
• Bachelor’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, Machine Learning, Artificial Intelligence, Economics, Physics, or a related field.
• Master’s degree or PhD in a quantitative discipline is a plus.
• Proven experience partnering with senior stakeholders across diverse functions such as Product, Marketing, Revenue, Sales, Operations, or Customer Experience.
• Extensive experience with experimentation at scale, including causal inference methodologies such as difference-in-differences, synthetic controls, propensity score methods, and Bayesian experimentation.
• Advanced proficiency in SQL and strong fluency in Python for working with large, complex datasets.
• Experience integrating generative AI tools into workflows to automate tasks and foster innovation.
• Familiarity with areas such as pricing 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, or marketplace platforms.
• Humility and a collaborative mindset, with a commitment to diversity, equity, and inclusion.

Benefits

• Unlimited vacation policy 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 including Wellhub to promote health and well-being.
• Sabbatical leave available for employees with five or more years of service.
• Paid parental leave and fertility/family planning reimbursement to support family growth.
• Cell phone reimbursement for work-related communication needs.
• Daily catered lunches, beverages, and snacks to foster community and collaboration.
• Participation in Employee Resource Groups and ZocClubs to promote diversity and inclusion.
• Recognition as a Great Place to Work, emphasizing a positive and supportive work environment.