Senior Data Scientist (Marketing)

Join Zocdoc's Marketplace Data Science team as a Senior Data Scientist (Marketing). In this individual contributor role, you will support the Acquisition Marketing team and help shape how we measure, optimize, and scale our patient marketing efforts. You will lead the statistical design and analysis of marketing attribution and incrementality studies, collaborate with Marketing and Product to design and interpret rigorous experiments, and analyze and report on the performance of paid marketing and CRM channels. You will also create clear, compelling presentations and dashboards that influence strategic marketing decisions.

• 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.
• 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.
• 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.
• Thrive in a cross-functional environment, partnering with Marketing, Product, and Data teams
• 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
• Are excited to work on analytical projects that directly inform marketing strategy, spend allocation and optimization
• Have a passion for applying and evolving analytical methods, using sound statistical approaches, and continuously improving how we measure and interpret marketing performance
• Have 3+ years of experience in marketing data science, marketing analytics, or growth analytics roles
• Have high attention to detail and ability to sense-check results and ensure accuracy
• Have partnered closely with Marketing, Finance, and Product stakeholders to measure and optimize performance
• 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
• Are detail-oriented, proactive, and thrive in a fast-paced, data-driven environment
• Are fluent in translating complex quantitative findings into business-relevant insights
• Have experience with marketing attribution, experimentation, or incrementality testing