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Senior Data Scientist - Shopping Experience (Search)

2 hours, 30 minutes ago
Canada
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
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Description

  • Own core Search metrics and funnels end to end, including defining guardrails, monitoring performance, and diagnosing conversion gaps.
  • Design, run, and interpret experiments across ranking, retrieval, and search UX, and turn results into data-driven recommendations.
  • Partner with Product, Engineering, and Machine Learning to prioritize opportunities and shape the roadmap for relevance, quality, and latency improvements.
  • Build diagnostic analyses by query class, price point, surface, and customer lifecycle to identify underperformance and recommend fixes.
  • Connect offline model evaluation with online and business metrics by collaborating with ML partners on evaluation design.
  • Improve data quality, instrumentation, and metric definitions for Search to enable clearer and faster performance analysis.

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, 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, decompose 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 tooling such as Claude, code assistants, or PromptQL to accelerate analysis, experimentation, and communication.
  • Experience in search relevance, ranking, recommendations, personalization, or information retrieval, especially in e-commerce or marketplace search, preferred.
  • Familiarity with NLP, embeddings, and semantic search, including how to evaluate and iterate on these techniques in production, preferred.
  • Experience bridging offline evaluation metrics such as NDCG, precision/recall, or human evaluation with online experiments and business outcomes, preferred.
  • Background in causal inference beyond standard A/B tests, such as holdouts, diff-in-diff, or quasi-experiments, preferred.
  • Comfort working across web and native app surfaces while balancing relevance, monetization, and latency, preferred.
  • Proven impact improving logging, instrumentation, and metric definitions in complex data environments, preferred.

Benefits

  • Remote Flex First work policy with flexibility to work from home, an office, or another preferred location.
  • Highly market-competitive compensation and benefits.
  • Base pay range for Canadian candidates: $161,000 to $170,000 CAD.
  • Eligible for a new hire equity grant.
  • Eligible for annual refresh equity grants.
  • Hiring currently open in Ontario, Alberta, British Columbia, and Nova Scotia.

Interested in this position?

Apply directly on the company website

Apply Now

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