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Senior Data Scientist - Shopping Experience (Search)

2 hours, 51 minutes ago
United States
Full-time
Senior
Data Scientist
Data Science and Analytics
GCP Machine Learning NLP Python R Snowflake SQL
Apply Now
instacart.careers

instacart.careers

Instacart is a leading grocery technology company in North America that works with grocers and retailers to transform how people shop. They partner with over 1,000 national, regional, and local retail banners to facilitate online shopping, delivery, an...

Internet Software & Services
1K-5K
View All Jobs 128

Description

  • Own core Search metrics and funnels end to end, including guardrails, performance monitoring, and conversion gap diagnosis.
  • Design, run, and interpret experiments across ranking, retrieval, and search UX to produce data-driven recommendations.
  • Partner with Product, Engineering, and Machine Learning to prioritize opportunities and shape the roadmap for search improvements.
  • Build diagnostic analyses by query class, price point, surface, and customer lifecycle to identify performance issues and improvement opportunities.
  • Connect offline model evaluation with online and business metrics to ensure ML changes improve the end-user experience.
  • Improve data quality, instrumentation, and metric definitions for Search to support clearer and faster decision-making.
  • Translate complex, noisy signals into clear insights that influence search conversion, order rate, and GTV.
  • Collaborate across disciplines to strengthen downstream experiences such as ads and retailer satisfaction.

Requirements

  • 5+ years of experience in data science or product analytics with impact on consumer-facing products.
  • Advanced SQL proficiency, including complex joins and window functions, and experience with large-scale datasets in modern data warehouses such as Snowflake, BigQuery, or 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.
  • Ability to define success metrics, break down ambiguous product problems, and deliver clear recommendations to Product and Engineering partners.
  • Excellent written and verbal communication skills for both technical and non-technical audiences.
  • Bachelor’s degree in a quantitative field such as Statistics, Computer Science, Mathematics, Economics, or Engineering, or equivalent practical experience.
  • Comfort using modern AI tools such as Claude, code assistants, or PromptQL to accelerate analysis, experimentation, and communication while maintaining strong judgment.
  • Experience in search relevance, ranking, recommendations, personalization, or information retrieval is preferred.
  • Familiarity with NLP, embeddings, and semantic search is preferred.
  • Experience bridging offline evaluation metrics such as NDCG, precision/recall, or human evaluation with online experiments and business outcomes is preferred.
  • Background in causal inference beyond standard A/B tests, such as holdouts, diff-in-diff, or quasi-experiments, is preferred.
  • Comfort working across web and native app surfaces and navigating tradeoffs between relevance, monetization, and latency is preferred.
  • Proven impact improving logging, instrumentation, and metric definitions in complex data environments is preferred.

Benefits

  • Highly market-competitive compensation and benefits.
  • Remote role with Flex First work flexibility.
  • Eligible for a new hire equity grant.
  • Eligible for annual refresh equity grants.
  • Base pay range of $194,000–$204,500 in CA, NY, CT, and NJ.
  • Base pay range of $185,000–$195,500 in WA.
  • Base pay range of $177,000–$187,000 in select states and DC.
  • Base pay range of $161,000–$170,000 in all other states.

Interested in this position?

Apply directly on the company website

Apply Now

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