About the role
Senior Data Scientist, Marketing - Zocdoc | Built In NYC NYC Global Tech Hub BuiltIn.com is the global destination for tech professionals. builtin.com Popular Tech Hubs United States Austin Boston Chicago Colorado Los Angeles New York City Seattle San Francisco Australia Sydney Melbourne Canada Calgary Montreal Ottawa Quebec Toronto Vancouver India Bengaluru Chennai Delhi Hyderabad Kolkata Mumbai Pune Ireland Dublin Singapore Singapore United Kingdom London Cambridge Manchester Birmingham Bristol Companies Jobs Articles 0 && companies.length === 0"> Can't find your company? Create a company profile. View All Jobs Join Log In For Employers Hire on Built In Post a Job Zocdoc Jobs Senior Data Scientist, Marketing Zocdoc Senior Data Scientist, Marketing Posted 3 Days Ago Be an Early Applicant Easy Apply Hybrid New York, NY, USA 140K-180K Annually Senior level Easy Apply Hybrid New York, NY, USA 140K-180K Annually Senior level Lead marketing measurement and experimentation to quantify attribution and incrementality, optimize ad platforms and CRM, build performance data assets, analyze lifecycle engagement, and communicate insights to influence marketing strategy and spend allocation. The summary above was generated by AI Our Mission Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories.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 Data Scientist to join Zocdoc’s Marketplace Data Science team. You’ll be embedded within the Acquisition Marketing team, supporting Paid Marketing and CRM teams. In this role, you’ll help shape how we measure, optimize, and scale our patient marketing efforts to drive growth and maximize marketing spend efficiency. You will develop data-driven insights that inform channel strategy, campaign optimization, and spend allocation, working closely with Marketing, Product, and Engineering partners to ensure measurement rigor and actionable outcomes. This is an individual contributor role with significant influence and deep partnership with Marketing and Product leadership. You’ll Enjoy This Role If You… Are excited to work on analytical projects that directly inform marketing strategy, spend allocation and optimization. Can think critically about campaign performance, optimization, attribution, and experimentation to uncover true drivers of growth. Can translate complex data findings into clear insights and recommendations. Have a passion for applying and evolving analytical methods, using sound statistical approaches, and continuously improving how we measure and interpret marketing performance. Thrive in a cross-functional environment, partnering with Marketing, Product, and Data teams. Your Day-to-Day Is… Attribution & Incrementality: Lead the statistical design and analysis of marketing attribution and incrementality studies, collaborating with other Data Scientists to apply advanced methods to quantify the true impact and efficiency of Zocdoc’s marketing investments. Experimentation: Collaborate with Marketing and Product to design and interpret rigorous experiments (geo tests, conversion lift studies, etc.) that measure campaign impact and optimize key funnel conversion points. Ad Platform Optimization: Partner closely with Marketing channel owners to identify opportunities across Zocdoc’s advertising platforms (e.g., SEM, Influencer, Offline, etc.) to improve efficiency, maximize ROI, and ensure we’re making data-informed investment decisions. Lifecycle Analytics: Evaluate engagement and retention across lifecycle touchpoints (email, push, SMS), identifying opportunities to improve patient activation and retention. Marketing Performance Measurement: Analyze and report on the performance of paid marketing and CRM channels. Identify trends, quantify impact, and recommend optimization opportunities. Performance Data Assets: Collaborate with Analytics Engineering and Data Engineering to build and operationalize core marketing performance data assets and dashboards, enabling reliable self-serve reporting and consistent performance monitoring across channels. Executive Storytelling: Create clear, compelling presentations, dashboards, insights and recommendations that influence strategic marketing decisions. You’ll be successful in this role if you… Have 3+ years of experience in marketing data science, marketing analytics, or growth analytics roles. Have experience with marketing attribution, experimentation, or incrementality testing. Are fluent in translating complex quantitative findings into business-relevant insights. Have high attention to detail and ability to sense-check results and ensure accuracy. Have a foundational understanding of key statistical concepts, including experimentation and basic predictive modeling. Bring strong analytical and statistical skills, with proficiency in SQL and/or Python or R. Have partnered closely with Marketing, Finance, and Product stakeholders to measure and optimize performance. Are detail-oriented, proactive, and thrive in a fast-paced, data-driven environment.
