Responsibilities

• 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.

Requirements

• 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.

Benefits

• 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