Data Scientist 2/3, Storefront
ABOUT QUINCE
Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value.
Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions:
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Customer First: We prioritize customer satisfaction in every decision.
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High Quality: True quality means premium materials and rigorous production standards you can feel good about.
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Essential Design: We focus on timeless, functional essentials instead of chasing trends.
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Always a Better Deal: Innovation and transparency ensure value for both customers and partners.
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Social & Environmental Responsibility: We commit to sustainable materials, ethical production, and fair wages.
Quince partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency.
OUR TEAM AND SUCCESS
At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience – one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence.
If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince.
THE ROLE
Data Scientist 2 / 3, Storefront
We are seeking a highly analytical and technical Data Scientist to join our Storefront team. In this role, you will own end-to-end modeling work across high-priority surfaces — spanning Recommendations and Personalization, Search, and AI-powered Shopping Experiences — and your contributions will have direct, measurable impact on conversion, discovery, and user satisfaction at scale. You will report to our VP of Engineering and collaborate closely with engineering managers, software engineers, and product managers to move our capabilities from traditional models into near real-time, personalized, and Generative AI-driven experiences.
Responsibilities
- Real-Time Personalization: Go beyond static product recommendations to develop and refine machine learning models that deliver near real-time personalization across our app and site surfaces, leveraging contextual signals to customize text and details for varied buyer intents (e.g., price-sensitive vs. quality/sustainability-first buyers).
- In-House Search Platform: Assist in building our natural language search engine from 0 to 1, utilizing Large Language Models (LLMs like Claude and 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 clear data product specifications, and partner with Engineering to establish robust real-time tracking and performance monitoring frameworks.
- Cross-Functional Partnership: Act as a technical partner to product and business squads, translating business targets into actionable data science solutions and presenting complex analytical outcomes to leadership.
Qualifications
Required:
- 5+ years of industry experience as a data scientist, with a strong preference for consumer-facing products or e-commerce applications operating at high scale.
- MS or PhD in statistics, mathematics, engineering, computer science, or a highly quantitative field.
- Exceptional proficiency in Python and SQL, alongside deep production knowledge of standard data science and machine learning libraries.
- Hands-on experience developing and deploying production-grade Recommender Systems, Relevance Ranking, or Personalization pipelines.
- Proven experience working with Generative AI or LLM application workflows for tasks like text parsing or context-driven query understanding.
- Strong model productionalization skills with a customer-first mindset, allowing you to elegantly balance statistical accuracy against latency and engineering constraints in real-time environments.
Preferred:
- Experience replacing or augmenting traditional NLP systems with LLMs for complex text parsing and language understanding.
- Familiarity with Business Intelligence tools (e.g., Looker, Tableau) to build internal dashboards for model tracking and metrics visibility.
- Experience building data product specifications alongside distributed engineering teams to streamline model evaluation
All posted ranges are reflective of base salary and may vary depending upon experience level and location. Bonus and equity may also be provided for eligible roles.
WHY QUINCE?
Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.
EQUAL OPPORTUNITY & HIRING INTEGRITY
Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.
Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.
Security Advisory: Beware of Frauds
At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.
Data & ML pay context
Based on 1,536 disclosed Data & ML salaries on RoleSuite, the role pays a median of $162K/year, with most offers between $127K and $202K (10th–90th percentile: $102K–$246K).
This posting lists $171K–$242K, above the $162K market median.
See the full Data & ML salary breakdown →