Senior/Staff Data Scientist, Storefront

Quince
Palo Alto
Workplace: OnsiteFull timeUSD 171,000 - 242,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Analytical thinking","Cross-functional collaboration","Communication","Customer-first mindset","Model productionalization"]

Own end-to-end machine learning modeling for the Storefront experience, spanning recommendations and personalization, search, and generative AI shopping interactions. Build near real-time personalization using contextual buyer signals, develop an in-house natural language search engine with LLMs, and create relevance ranking features. Partner across product and engineering to deploy models in production, define data product specs, and run rigorous live experiments that improve conversion and discovery at scale.

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FursaFursa
Quince
Quince
2 months ago

Senior/Staff Data Scientist, Storefront

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Own end-to-end machine learning modeling for the Storefront experience, spanning recommendations and personalization, search, and generative AI shopping interactions. Build near real-time personalization using contextual buyer signals, develop an in-house natural language search engine with LLMs, and create relevance ranking features. Partner across product and engineering to deploy models in production, define data product specs, and run rigorous live experiments that improve conversion and discovery at scale.
Location: Palo Alto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and refine near real-time personalization models across app and site surfaces using contextual buyer intent signals.
  • •Help build an in-house natural language search engine, using LLMs for query understanding, semantic search, and language retrieval.
  • •Design and implement algorithms for interactive app experiences that drive daily customer engagement.
  • •Create relevance ranking features and build automated end-to-end modeling pipelines in Python and SQL, deploying models to production and running live experiments.
  • •Identify data gaps, write data product specifications, and partner with engineering on real-time tracking and performance monitoring frameworks.

Pay and Benefits

Salary: USD 171,000 - 242,000 annually

Key Requirements

  • •5+ years of industry experience as a data scientist, preferably in consumer-facing or high-scale e-commerce products.
  • •MS or PhD in statistics, mathematics, engineering, computer science, or another highly quantitative field.
  • •Exceptional proficiency in Python and SQL, with deep production knowledge of standard data science and machine learning libraries.
  • •Hands-on experience building and deploying production-grade recommender systems, relevance ranking, or personalization pipelines.
  • •Proven experience with generative AI/LLM workflows for tasks such as text parsing or context-driven query understanding.
Experience:5+ yearsE-commerceConsumer-facing productsRetailDirect-to-consumer (DTC)
Education:Master's
Skills:Analytical thinkingCross-functional collaborationCommunicationCustomer-first mindsetModel productionalization
Languages:English
Tech Stack:PythonSQLMachine learningLLMsClaudeGPTLookerTableauNatural language searchNLPRecommender systemsRelevance ranking

Company Brief

Quince
Quince is a direct-to-consumer brand offering affordable, high-quality apparel, home goods, and essentials—such as cashmere, basics, and home textiles—focused on transparent sourcing and value pricing for customers.
Industry: Direct to Consumer Brands
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
Founded: 2015
WebsiteLinkedIn