Staff Data Scientist, Marketplace Analytics

Zocdoc; New York (NY); On-site; USD 200,000 - 270,000; Full time

Benefits offered by this job

Unlimited Vacation

100% paid employee health benefits

Commuter Benefits

401(k) with employer match

Corporate wellness program

Sabbatical leave

Parental leave

Cell phone reimbursement

Catered lunch

Job summary

Zocdoc, located in New York, NY, seeks a Sr/Staff Data Scientist to lead data strategies that empower the patient. The position involves tackling complex business challenges and influencing product, marketing, and operational decisions through rigorous analysis.

The successful candidate will bring 8+ years of experience, advanced SQL and Python skills, and a passion for creating equitable workplace environments. This high-impact role offers a competitive salary of $200,000–$270,000 and comprehensive benefits.

Qualifications

• 8+ years of experience in Data Science, product analytics, or related fields.
• Strong experimentation experience and ability to apply causal inference methodologies.
• Experience partnering with senior stakeholders to drive strategy through data.

Responsibilities

• Lead analytical strategy across product and marketing initiatives.
• Improve experimentation frameworks and metrics strategy across teams.
• Mentor data scientists and analysts on best practices.

Skills

Causal inference methodologies

SQL proficiency

Python fluency

Data Science experience

Problem framing

Education

Bachelor's degree in a quantitative field

Master's degree or PhD in a quantitative field

Tools

SQL

Python

Job description

Our Mission

Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.

Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in‑person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down.

We’re 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.

Your Impact on our Mission

Zocdoc's mission is simple and hard: give power to the patient. We are the nation's leading digital healthcare marketplace — connecting millions of patients to the right care, faster than ever.

The Data & Analytics team is at the center of how Zocdoc grows, evolves, and makes high‑stakes decisions at scale. As a Sr/Staff Data Scientist you will be one of the most senior analytical voices at the company — a strategic thought partner to directors and senior leadership across Product, Marketing, Sales, Finance, Revenue, Operations, Customer Experience, and Platform.

You’ll work on some of Zocdoc's most complex and ambiguous business problems — where the question itself isn't always defined, and the right method doesn't fit neatly into a playbook. You'll lead the analytical strategy, apply rigorous experimentation and causal inference frameworks at scale, and turn structured thinking into decisions that shape how Zocdoc grows.

This is a high‑visibility, high‑impact individual contributor role. Success here is measured not just by the quality of your analyses, but by the clarity, influence, and scalability of the thinking you bring to the teams around you.

You'll enjoy this role if you are…

• Energized by working at the intersection of product strategy, growth, monetization, and experimentation and genuinely excited to go deep on all of it
• The kind of person who frames the problem before jumping to the analysis and understands that question‑setting is half the work
• Comfortable operating with ambiguity and decisive under uncertainty you know how to move fast without sacrificing rigor
• A force multiplier — you get real satisfaction from enabling other teams to make better decisions, not just from what you personally build
• Passionate about connecting technical work to real business outcomes — you know that a great model no one acts on is a missed opportunity
• Serious about your work, but not about yourself — you understand that great outcomes come from trust, collaboration, and a healthy sense of perspective

Your day to day is…

• 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

You'll be successful in this role if you have…

• An unrelenting desire to build more equitable, inclusive, and diverse workplaces — you view this role as an opportunity to create positive change
• 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

Salary

NYC Base Salary Range: $200,000—$270,000 USD

Remote Base Salary Range: $200,000—$270,000 USD

Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details.

About Us

Zocdoc is the country’s leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in‑network providers, compare choices based on verified patient reviews, and instantly book in‑person or video visits online. Providers participate in Zocdoc’s Marketplace to reach new patients to grow their practice, fill their last‑minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world’s leading investors, and we believe we’re still only scratching the surface of what we plan to accomplish.

Zocdoc is a mission‑driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values — Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status or any other class protected by applicable laws.

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