Senior Data Scientist - Shopping Experience (search)

Instacart

Remote
Base: $161,000 - $204,500 usd; bonus/equity: eligi...
Remote
Own core search metrics and funnels
Design and interpret experiments
Partner with product, engineering, and ml
Instacart is seeking a Senior Data Scientist for its Shopping Experience team to enhance search relevance and customer satisfaction through data analytics and experimentation. The ideal candidate should have extensive experience in data science, particularly in consumer-facing products, and strong analytical skills, especially with SQL and Python/R

Job Summary

  • Own the analytics and experimentation strategy that powers how Instacart interprets customer intent and connects it to relevant items and retailers.
  • Partner closely with Product, Engineering, and Machine Learning to shape the roadmap for search relevance, ranking quality, and latency.
  • Your work will translate complex, noisy signals into clear insights and recommendations that move key metrics like search conversion, order rate, and GTV.

Matching Summary

Match Score: 85

Instacart is seeking a Senior Data Scientist for its Shopping Experience team to enhance search relevance and customer satisfaction through data analytics and experimentation. The ideal candidate should have extensive experience in data science, particularly in consumer-facing products, and strong analytical skills, especially with SQL and Python/R.

Salary

Base: $161,000 - $204,500 USD; Bonus/Equity: Eligible for new hire equity grant and annual refresh grants; Benefits: Not specified

Skills & Requirements

Must-have

  • Own core Search metrics and funnels
  • Design and interpret experiments
  • Partner with Product, Engineering, and ML
  • Build deep diagnostic analyses
  • Connect offline model evaluation with online metrics
  • Improve data quality and instrumentation

Nice-to-have

  • Experience in search relevance
  • Familiarity with NLP and embeddings
  • Experience bridging offline and online metrics
  • Background in causal inference
  • Comfort working across web and app surfaces

Key Requirements

  • 5+ years of experience in data science or product analytics
  • Advanced SQL proficiency
  • Proficiency in Python or R
  • Hands-on experience designing and analyzing A/B tests
  • Demonstrated ability to define success metrics
  • Excellent written and verbal communication skills
  • Bachelor’s degree in a quantitative field or equivalent practical experience
  • Comfort using modern AI tooling

Work Rights

Not specified

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