Senior Data Scientist

Who you are

• Proven experience in consumer-facing product data science, partnering closely with Product Managers, Engineering Leads, and Data Engineers
• Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling
• Experience defining KPIs, and optimizing funnel for product market fit
• Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders
• 4+ years of work experience in a data science or related field
• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics, Engineering) or equivalent practical experience
• Experience bridging offline evaluation metrics (e.g., NDCG, precision/recall, human evaluation) with online experiments and business outcomes
• Background in causal inference beyond standard A/B tests (e.g., holdouts, diff-in-diff, quasi-experiments) to measure long-term or cross-surface effects
• Proven impact improving logging, instrumentation, and metric definitions in complex data environments
• Experience launching new features in new markets, or launching 0-1 initiatives

What the job involves

• Lead data science for the Meals initiative, owning the post-MVP scale-up of DS systems and infrastructure
• Design, build, and maintain metric tracking frameworks to measure the impact of Meals on engagement, activation, and reactivation
• Drive experimentation strategy — from hypothesis definition to analysis and recommendation — to guide product decisions
• Partner closely with Product Managers, Engineers, and Designers to align on strategy and communicate data-driven insights
• Contribute to a 0→1 initiative at a critical inflection point, helping define what success looks like at scale