Senior Data Scientist, Marketing

Our Mission Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories.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:

We are seeking a Senior Data Scientist to join Zocdoc's Marketing Science team. The team partners across our Marketing organization, including Patient, Provider, and Brand Marketing, to measure, optimize, and scale marketing efforts. In this role, you'll independently own complex analytical workstreams, develop data-driven insights that inform channel strategy, campaign optimization, lifecycle engagement, and brand effectiveness, and work closely with Marketing, Product, Finance, and Engineering partners to ensure measurement rigor and actionable outcomes. This is a senior individual contributor role with significant influence and deep partnership with Marketing and Product leadership. You don't need prior marketing experience to be successful in this role. We're looking for a strong analytical thinker who is excited to apply rigorous quantitative methods to questions about growth, engagement, effectiveness, and customer behavior — and interested in developing deeper expertise in marketing science. You’ll Enjoy This Role If You… Attribution, Incrementality & Experimentation : Design and analyze marketing attribution studies, incrementality tests, and rigorous experiments — including geo tests, lift studies, and A/B tests — to quantify the true impact of Zocdoc's marketing investments and translate results into clear business recommendations. Brand & Marketing Performance: Analyze and synthesize performance across paid, owned, and brand channels and across patient and provider audiences. Identify trends, quantify impact, and recommend optimizations. Build and evolve brand measurement frameworks, such as brand lift studies, media mix modeling, and awareness tracking, to connect marketing investments to downstream business outcomes. Lifecycle & Engagement Analytics: Evaluate engagement, activation, rebooking, and long-term retention across customer and provider audiences and CRM touchpoints, including email, push, and SMS. Identify opportunities to improve the overall marketplace experience and business outcomes. Performance Data Assets:Collaborate with Analytics Engineering and to build and operationalize core marketing performance data assets and dashboards, enabling reliable self-serve reporting and consistent performance monitoring across channels and audiences. Executive Storytelling: Create clear, compelling presentations, dashboards, and recommendations that influence strategic decisions at the leadership level. You’ll be successful in this role if you… Have 5+ years of experience in data science, analytics, marketing science, marketing analytics, growth analytics, product analytics, business analytics, or a similar quantitative role. Have deep expertise in SQL and strong proficiency in Python or R. Have strong experience with experimentation design, causal inference, incrementality testing, attribution, or other rigorous approaches to measuring impact — and a track record of owning analytical workstreams end-to-end. Have familiarity with marketing measurement approaches, such as media mix modeling, brand lift studies, or awareness and perception tracking, or a strong interest in developing this expertise. Can independently frame complex, ambiguous analytical problems and drive them from question through to recommendation. Are fluent in translating complex quantitative findings into business-relevant insights for both technical and non-technical audiences. Have a strong foundation in statistical concepts, including causal inference, experimentation, and predictive modeling. Are detail-oriented, proactive, and thrive in a fast-paced, data-driven environment.