Staff Data Scientist, Marketplace Analytics

🕒 June 2

🗽 New York – Remote

🗽 New York – Remote

💵 $200k - $270k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Zocdoc

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

⚕️ Healthcare Insurance

🏪 Marketplace

🧘 Wellness

💰 $150M Private Equity Round on 2021-02

Healthcare Insurance • Marketplace • Wellness

Zocdoc is a digital health platform that connects patients with healthcare providers, allowing users to book appointments online with doctors and dentists who accept their insurance. The service offers a wide range of specialties, including primary care, dentistry, ob-gyn, dermatology, and psychiatry, among others. Zocdoc aims to make healthcare access easier by providing an app for appointment scheduling and management, enhancing the visibility and reputation of healthcare providers through verified reviews, and serving as a partner for health systems and private practices. The company does not provide medical advice but facilitates the connections and processes necessary for patients to access healthcare services efficiently.

📋 Description

• 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

🎯 Requirements

• 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 • 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