Shopping Experience (Search) - Senior Data Scientist

• 5+ years of experience in data science or product analytics, with a track record of impact on consumer-facing products. • Advanced SQL proficiency, including complex joins and window functions, working with large-scale datasets in modern data warehouses (e.g., Snowflake, BigQuery, Redshift). • Proficiency in Python or R for analysis, experimentation, and modeling. • Hands-on experience designing and analyzing A/B tests end to end, including metric selection, power and sample sizing, covariate adjustment, and decision-making under uncertainty. • Demonstrated ability to define success metrics, decompose ambiguous product problems, and deliver clear, opinionated recommendations to Product and Engineering partners. • Excellent written and verbal communication skills; able to tailor complex analyses for both technical and non-technical audiences. • Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics, Engineering) or equivalent practical experience. • Comfort using modern AI tooling (e.g., Claude, code assistants, PromptQL) to accelerate analysis, experimentation, and communication while exercising strong judgment on quality and reliability. • Experience in search relevance, ranking, recommendations, personalization, or information retrieval (e.g., e-commerce or marketplace search). • Familiarity with NLP, embeddings, and semantic search, including how to evaluate and iterate on these techniques in production. • 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. • Comfort working across web and native app surfaces, navigating tradeoffs between relevance, monetization, and latency. • Proven impact improving logging, instrumentation, and metric definitions in complex data environments. • Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. • Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. • For US based candidates, the base pay ranges for a successful candidate are listed below. • $194,000—$204,500 USD • $185,000—$195,500 USD • OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI • $177,000—$187,000 USD • All other states • $161,000—$170,000 USD