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Senior/Staff Data Scientist, Storefront

QuincePalo Alto, California, United StatesData Science
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Salary
Not listed
Job type
Full-time
Posted
1 Jul 2026
Status
Open · checked 7d ago

About this role

Quince is seeking a Senior/Staff Data Scientist to join the Storefront team in Palo Alto, California, to shape advanced personalization and search capabilities. This opportunity is ideal for an experienced quantitative professional who thrives on scaling high-impact machine learning systems for consumer applications.

Role Overview

In this position, the data scientist owns end-to-end modeling across high-priority surfaces including recommendations, personalization, search, and AI-powered shopping experiences. Reporting to the Vice President of Engineering, the role collaborates closely with engineering managers, software engineers, and product managers to transition traditional models into near real-time, personalized, and Generative AI-driven customer journeys.

Key Responsibilities

Build and refine machine learning models to deliver near real-time personalization across application and site surfaces using contextual buyer signals.
Assist in building a natural language search engine from the ground up, implementing Large Language Models for query understanding, semantic search, and advanced language retrieval.
Design and implement algorithms for interactive app experiences designed to increase daily customer engagement.
Create relevance ranking features, build automated end-to-end modeling pipelines, deploy machine learning models into production, and run rigorous live experiments.
Identify data gaps, write data product specifications, and partner with engineering to establish robust tracking and monitoring frameworks.
Translate business goals into data science solutions and present complex analytical results to leadership.

Requirements

Possess at least 2 years of industry experience as a data scientist, ideally within high-scale consumer or e-commerce settings.
Hold an MS or PhD in statistics, mathematics, engineering, computer science, or another quantitative field.
Demonstrate exceptional proficiency in Python and SQL alongside production knowledge of standard data science and machine learning libraries.
Bring hands-on experience in developing and deploying production-grade recommender systems, relevance ranking, or personalization pipelines.
Show proven experience utilizing Generative AI or LLM workflows for text parsing and context-driven query understanding.
Maintain strong model productionalization skills while balancing statistical accuracy against latency and engineering constraints.

Nice to Have

Experience replacing or augmenting traditional natural language processing systems with LLMs for complex text parsing and language understanding.
Familiarity with Business Intelligence tools like Looker or Tableau to build internal dashboards for model tracking.
Experience drafting data product specifications alongside distributed engineering teams to streamline model evaluation.

Skills and Tools

Python
SQL
Large Language Models (LLMs)
Natural Language Processing (NLP)
Recommender Systems
Relevance Ranking
Personalization Pipelines
Looker or Tableau (optional)

Salary and Benefits

The base salary range is $171,000 to $285,000 USD, varying based on experience level and location.
Bonus and equity may be provided for eligible roles.

About the Company

Quince is a destination for builders, creators, innovators, and operators challenging the status quo in retail through a unique manufacturer-to-consumer model. By eliminating traditional retail layers, Quince delivers high-quality essentials at fair prices, growing into a cross-category brand spanning apparel, accessories, and home goods.

How to Apply

Interested candidates should visit the official Quince careers page to submit an application and view complete details.

Skills and tech stack

PythonSQLLLMNLP

Questions candidates ask

What is the location of the Senior/Staff Data Scientist, Storefront role?

The position is located in Palo Alto, California, United States.

What level of experience is required for this job?

Candidates must have 2+ years of industry experience as a data scientist, preferably in consumer-facing products or e-commerce.

What educational background is needed?

An MS or PhD in statistics, mathematics, engineering, computer science, or a highly quantitative field is required.

What is the salary range for this position?

The base salary range is $171,000 to $285,000 USD, with possible bonus and equity for eligible roles.

What core technical skills are required?

Required technical skills include exceptional proficiency in Python and SQL, production knowledge of machine learning libraries, and experience with LLMs and recommender systems.

Ready to apply?

The application is on the official Quince careers page.

Apply on company site