Senior Data Scientist: Real-Time Personalization

Quince; Palo Alto (CA); On-site; USD 171,000 - 285,000; Full time

Benefits offered by this job

Bonus

Equity

Job summary

Quince is seeking a Senior/Staff Data Scientist for Storefront to own end-to-end modeling across Recommendations, Personalization, Search, and AI-powered shopping experiences at scale.

You will report to the VP of Engineering and collaborate with engineers, product managers, and data teams to push capabilities from traditional models toward near real-time, Generative AI-driven improvements that boost conversion and discovery.

Qualifications

• 2+ years of industry experience as a data scientist, with a strong preference for consumer-facing products or e-commerce at scale.
• MS or PhD in statistics, mathematics, engineering, CS, or a highly quantitative field.
• Exceptional proficiency in Python and SQL, plus production knowledge of standard data science libraries.
• Hands-on experience deploying production-grade recommender/personalization pipelines.
• Experience with Generative AI or LLM workflows for text parsing or query understanding.
• Strong model productionalization skills balancing accuracy, latency, and constraints in real-time.

Responsibilities

• Real-Time Personalization: develop models delivering near real-time personalization across app and site surfaces.
• In-House Search Platform: help build a natural language search engine using LLMs for query understanding and semantic search.
• App Engagement: design algorithms for interactive app experiences to increase daily user activity.
• End-to-End Pipeline Ownership: create ranking features, build pipelines in Python/SQL, deploy models, run live experiments.
• Data Infrastructure & Tooling: identify data gaps, specify data products, and work with Eng to implement tracking and monitoring.
• Cross-Functional Partnership: translate business targets into data science solutions and present results to leadership.

Skills

Python

SQL

Recommender Systems

Generative AI

Production ML

Education

MS/PhD in quantitative field

Tools

Looker

Tableau

Job description

Quince is seeking a Senior/Staff Data Scientist for Storefront to own end-to-end modeling across Recommendations, Personalization, Search, and AI-powered shopping experiences at scale.

You will report to the VP of Engineering and collaborate with engineers, product managers, and data teams to push capabilities from traditional models toward near real-time, Generative AI-driven improvements that boost conversion and discovery.