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Senior/Staff Data Scientist, Storefront

Quince· Data Science
Apply on company site
Palo Alto, CA$171k - $285kPosted 3mo ago

About the role

Senior/Staff Data Scientist to own end-to-end modeling across Storefront surfaces (Recommendations and Personalization, Search, AI-powered Shopping Experiences) with impact on conversion, discovery, and user satisfaction at scale. Reports to VP of Engineering and collaborates with engineering, product, and business teams to deploy near real-time, personalized, and Generative AI-driven experiences.

Responsibilities

  • Real-Time Personalization: Develop and refine machine learning models for near real-time personalization across app and site surfaces, leveraging contextual signals for varied buyer intents.
  • In-House Search Platform: Help build a natural language search engine from 0 to 1 using LLMs (e.g., Claude, GPT) for query understanding, semantic search, and advanced language retrieval.
  • App Engagement: Design and implement algorithms for interactive app experiences to drive daily customer engagement.
  • End-to-End Pipeline Ownership: Create new relevance ranking features, build automated end-to-end modeling pipelines in Python and SQL, deploy ML models into production, and run rigorous live experiments.
  • Data Infrastructure & Tooling: Identify data gaps, write data product specs, and partner with Engineering to establish real-time tracking and performance monitoring frameworks.
  • Cross-Functional Partnership: Act as a technical partner to product and business teams, translating targets into data science solutions and presenting results to leadership.

Qualifications

  • 2+ years of industry experience as a data scientist, preferably in consumer-facing products or high-scale e-commerce.
  • MS or PhD in statistics, mathematics, engineering, computer science, or highly quantitative field.
  • Proficiency in Python and SQL with production-level data science libraries.
  • Hands-on experience deploying production-grade Recommender Systems, Relevance Ranking, or Personalization pipelines.
  • Experience with Generative AI or LLM workflows for tasks like text parsing or context-driven query understanding.
  • Strong model productionalization skills balancing accuracy, latency, and engineering constraints in real-time environments.

Skills

Required:PythonSQLProduction-grade ML pipelinesRecommender Systems / PersonalizationGenerative AI / LLM workflows
Nice to have:Data product specificationsBI tools (Looker, Tableau)
Last updated Sep 9, 2026. Interested? Apply on the company site.
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