Senior Data Scientist (Meals)

- Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders - Proven experience in consumer-facing product data science, partnering closely with Product Managers, Engineering Leads, and Data Engineers - Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics, Engineering) or equivalent practical experience - 4+ years of work experience in a data science or related field - 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 - 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 - Experience bridging offline evaluation metrics (e.g., NDCG, precision/recall, human evaluation) with online experiments and business outcomes - Proven impact improving logging, instrumentation, and metric definitions in complex data environments - Experience launching new features in new markets, or launching 0-1 initiatives

Join our team as a Senior Data Scientist for the Meals initiative. In this role, you will lead data science efforts, design and maintain metric tracking frameworks, drive experimentation strategy, and collaborate closely with Product Managers, Engineers, and Designers. You will contribute to a critical 0→1…