Zocdoc: Staff Data Scientist, Marketplace Analytics — New York, NY; USA Remote

About Zocdoc

Zocdoc develops technology that helps patients find and book healthcare appointments. Its employer introduction describes both a healthcare marketplace and infrastructure supporting access to care through other search and provider channels. The stated focus is the path from seeking care to obtaining an appointment. Its work includes making booking accessible beyond its own marketplace, connecting patient-facing discovery with the systems used by healthcare providers and other organisations to make available appointments easier to reach.

The position and its setting

Zocdoc lists Staff Data Scientist, Marketplace Analytics in New York, NY; USA Remote, under reference 7560841. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Data & Analytics
• Employer listing date: 17 February 2026

Responsibilities and work described

• 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
• 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
• Leadership: 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
• Improvement: 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
• Integration: generative AI tools into daily workflows to automate tasks, foster innovation, and maximize analytical productivity

Essential requirements and candidate background

• 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
• 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
• Experience partnering with senior stakeholders across Product, Marketing, Revenue, Sales, Operations, or Customer Experience organizations to drive strategy through data
• Experimentation experience at scale, including causal inference methodologies applied to real-world, often messy business settings
• Advanced SQL proficiency and 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: 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: 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

Education and qualification routes

• Degree / qualification: 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

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• NYC 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
• Remote Base Salary Range: $200,000 — $270,000 USD
• Work arrangement: Remote
• Advertised location: New York, NY; USA Remote

Benefits mentioned by the employer

• 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
• Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Staff Data Scientist, Marketplace Analytics vacancy is not an offer for reference 7560841; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Zocdoc

Applications follow the official employer page linked below.

Open the official Zocdoc posting below and match the title and reference 7560841.

Compare your qualifications and experience with the essential conditions for the New York, NY; USA Remote position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• AI/ML
• machine learning
• AI
• insurance
• sales
• marketing
• stakeholder management