Jobs / United States / Zocdoc INC
Director, Marketing Data Science
Zocdoc INC · 🇺🇸 New York, NY; Silicon Valley, CA; USA Remote · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 16 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Zocdoc INC paid sponsored hires in similar roles5 certified filings for “LEAD PRODUCT ANALYST” (Data Scientists) in NY: $175k–$175k, median $175k. Most were filed at wage level II (40%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Zocdoc INC
The US Department of Labor certified 16 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Zocdoc INC →
About the role
Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission 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. You'll enjoy this role if you are… • 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. Your day to day is… • 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. • Managing and developing a team of Staff+ data scientists and junior managers, providing technical direction and career development. • Designing 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. • Working with cutting-edge GenAI tools and t