3 months ago

Senior Data Scientist - Shopping Experience (Search)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Data Scientist focused on Search for Instacart’s Shopping Experience team, owning analytics and experimentation to improve search relevance, ranking quality, and latency. Collaborates with Product, Engineering, and ML to translate signals into actionable recommendations that drive search conversion, order rate, and gross merchandise value, while improving data quality and instrumentation for Search.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Own core Search metrics and funnels end to end (e.g., query → impression → engagement → cart adds), including defining guardrails, monitoring performance across platforms and segments, and diagnosing conversion gaps.
•Design, run, and interpret experiments across ranking, retrieval, and search UX, turning ambiguous or conflicting outcomes into crisp, data-driven recommendations.
•Partner with Product, Engineering, and ML to prioritize opportunities, size impact, and influence the roadmap for relevance, quality, and latency improvements that unlock measurable business outcomes.
•Build deep diagnostic analyses by query class, price point, surface, and customer lifecycle to pinpoint where and why Search underperforms and specify concrete changes that will move key outcomes.
•Connect offline model evaluation with online and business metrics by collaborating with ML partners on evaluation design, ensuring model changes reliably improve end-user experience—not just offline scores.

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityRemote Work

Key Requirements

•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.

Experience:5+ yearsE-commerceMarketplaceRetail

Education:Bachelor's

Skills:CommunicationCollaborationAnalytical thinkingProblem-solving

Languages:English

Tech Stack:SQLSnowflakeBigQueryRedshiftPythonRAI toolsPromptQL

Company Brief

Instacart

Operates an online grocery marketplace connecting customers with personal shoppers and local retailers for grocery delivery and pickup. Provides technology, logistics, and advertising solutions to supermarkets and consumer packaged goods brands.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.6

Website LinkedIn

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Instacart

3 months ago

Senior Data Scientist - Shopping Experience (Search)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Own core Search metrics and funnels end to end (e.g., query → impression → engagement → cart adds), including defining guardrails, monitoring performance across platforms and segments, and diagnosing conversion gaps.
•Design, run, and interpret experiments across ranking, retrieval, and search UX, turning ambiguous or conflicting outcomes into crisp, data-driven recommendations.
•Partner with Product, Engineering, and ML to prioritize opportunities, size impact, and influence the roadmap for relevance, quality, and latency improvements that unlock measurable business outcomes.
•Build deep diagnostic analyses by query class, price point, surface, and customer lifecycle to pinpoint where and why Search underperforms and specify concrete changes that will move key outcomes.
•Connect offline model evaluation with online and business metrics by collaborating with ML partners on evaluation design, ensuring model changes reliably improve end-user experience—not just offline scores.

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityRemote Work

Key Requirements

•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.

Experience:5+ yearsE-commerceMarketplaceRetail

Education:Bachelor's

Skills:CommunicationCollaborationAnalytical thinkingProblem-solving

Languages:English

Tech Stack:SQLSnowflakeBigQueryRedshiftPythonRAI toolsPromptQL

Company Brief

Instacart

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2012

Glassdoor: 3.6

Website LinkedIn