Zocdoc: Director, Marketing Data Science — New York, NY; Silicon Valley, CA; 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 Director, Marketing Data Science in New York, NY; Silicon Valley, CA; USA Remote, under reference 7967886. 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: 31 July 2026

Responsibilities and work described

• Zocdoc's most important asset is our people
• As Director, Marketing Data Science, you'll own the measurement strategy that determines how Zocdoc invests in reaching patients and providers
• Your work will directly shape how we allocate marketing resources across B2C patient acquisition, B2B provider marketing, lifecycle, and brand — ensuring every dollar drives measurable impact on our mission to give power to the patient
• This is a greenfield opportunity
• You'll define what a rigorous, unified marketing measurement function looks like at Zocdoc — then build it
• Full ownership of Zocdoc's marketing measurement strategy: attribution, incrementality, and ROI measurement across all channels and business lines (B2C and B2B)
• Hands-on development of the team's most complex analytical work: media mix modeling, multi-touch attribution, incrementality and lift testing, LTV modeling, and brand measurement
• Partnering with the CMO and marketing leaders to translate strategy into analytical frameworks and surface insights that change investment decisions
• Building: deep understanding of Zocdoc's patient and provider audiences to inform segmentation and targeting strategy across B2C and B2B
• Management: and developing a team of Staff+ data scientists and junior managers, providing technical direction and career development
• Design: and executing marketing experimentation programs: geo-based holdout tests, incrementality experiments, and causal inference methods that move decisions from correlation to causation
• Standardizing marketing measurement methodology across channels and business lines to produce consistent, defensible results regardless of context
• Work: with cutting-edge GenAI tools and technology to accelerate measurement workflows and expand team capacity
• Collaboration: with data science and data platform teams to ensure measurement infrastructure is reliable, well-governed, and integrated

Essential requirements and candidate background

• Personally motivated by solving hard measurement problems where the right answer requires building new methods, not just applying existing ones
• The kind of data scientist who builds models, not just reviews them
• You want to be hands-on with MMM, MTA, and incrementality testing — not managing from a distance
• Genuinely curious about the frontier of marketing measurement
• You follow how the field is evolving (privacy changes, signal loss, new causal inference approaches) and have informed opinions about what actually works
• Energized by building something new
• You'd rather define what "good" looks like for a measurement function than optimize an already-mature one
• Comfortable partnering directly with senior marketing leaders and translating complex statistical concepts into investment decisions they can act on
• Excited about working with cutting-edge GenAI tools and technology to accelerate analytical workflows
• Serious about your work, but not about yourself
• Let's face it — the way things are going, you kind of need a sense of humor
• An unrelenting desire to build more equitable, inclusive, and diverse workplaces
• You view this role as an opportunity to create positive change
• 8+ years in data science or quantitative marketing, with at least 3 years focused on marketing measurement (MMM, MTA, incrementality, causal inference applied to marketing problems) at a B2C technology company
• A track record of personally building and executing complex measurement models in production — not just overseeing others' work
• Deep expertise in the core methods: media mix modeling, multi-touch attribution, incrementality and lift testing, and causal inference at scale
• Experience managing or technically leading a small team of data scientists, with demonstrated success developing talent and raising technical standards
• Experience partnering with senior marketing leaders (VP+ or C-level) as a trusted analytical advisor, translating statistical findings into investment recommendations they act on
• Familiarity: the evolving measurement landscape: privacy-driven signal loss, walled garden limitations, and emerging attribution approaches
• The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity

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 is required
• Degree / qualification: 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: $220,000 — $300,000 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: $220,000 — $300,000 USD
• Salary ranges are determined through alignment with market data and internal equity
• The base salary offered will depend on experience, skills, qualifications, and business needs
• Silicon Valley, CA Base Salary Range: $220,000 — $300,000 USD
• Work arrangement: Remote
• Advertised location: New York, NY; Silicon Valley, CA; USA Remote

Benefits mentioned by the employer

• NYC Hybrid
• Flexible, hybrid work environment at our convenient Soho location
• Unlimited Vacation (if salaried) / Competitive PTO (if hourly)
• 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 every day along with beverages and snacks
• Employee Resource Groups and ZocClubs to promote shared community and belonging

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Director, Marketing Data Science vacancy is not an offer for reference 7967886; 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 7967886.

Compare your qualifications and experience with the essential conditions for the New York, NY; Silicon Valley, CA; 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: machine learning

For machine-learning work, describe the problem, the data and the evaluation setup. Explain the baseline, the metric and the part you owned; mention deployment or monitoring only when you worked on it.

Relevant skills

• AI/ML
• machine learning
• AI
• insurance
• investment
• marketing
• communication