Quince is an e-commerce platform that manufactures and sells apparel, home goods, accessories, beauty, and wellness products directly to consumers through its “manufacturer-to-consumer” model.
<div class="content-intro"><p data-renderer-start-pos="34"><strong data-renderer-mark="true"><u data-renderer-mark="true">ABOUT QUINCE </u></strong></p> <p data-renderer-start-pos="74">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.</p> <p data-renderer-start-pos="540">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:</p> <ul class="ak-ul" data-indent-level="1"> <li> <p data-renderer-start-pos="762"><strong data-renderer-mark="true">Customer First</strong>: We prioritize customer satisfaction in every decision.</p> </li> <li> <p data-renderer-start-pos="836"><strong data-renderer-mark="true">High Quality</strong>: True quality means premium materials and rigorous production standards you can feel good about.</p> </li> <li> <p data-renderer-start-pos="949"><strong data-renderer-mark="true">Essential Design</strong>: We focus on timeless, functional essentials instead of chasing trends.</p> </li> <li> <p data-renderer-start-pos="1041"><strong data-renderer-mark="true">Always a Better Deal</strong>: Innovation and transparency ensure value for both customers and partners.</p> </li> <li> <p data-renderer-start-pos="1140"><strong data-renderer-mark="true">Social & Environmental Responsibility</strong>: We commit to sustainable materials, ethical production, and fair wages.</p> </li> </ul> <p data-renderer-start-pos="1254">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.</p> <p data-renderer-start-pos="1545"><strong data-renderer-mark="true"><u data-renderer-mark="true">OUR TEAM AND SUCCESS </u></strong></p> <p data-renderer-start-pos="1587">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. </p> <p data-renderer-start-pos="2087">If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince.</p></div><p data-renderer-start-pos="2290" data-local-id="6a0d0d38-3057-4834-9012-12f09f19e465"><strong data-renderer-mark="true"><span class="fabric-text-color-mark" data-renderer-mark="true" data-text-custom-color="#0747a6"><u data-renderer-mark="true">THE ROLE </u></span></strong></p> <p><strong>Senior/Staff Data Scientist, Storefront</strong></p> <p>We are seeking a highly analytical and technical <strong>Data Scientist</strong> 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. </p> <p><strong>Responsibilities</strong></p> <ul> <li><strong>Real-Time Personalization:</strong> 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). </li> <li><strong>In-House Search Platform</strong>: 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. </li> <li><strong>App Engagement: </strong>Design and implement algorithms for interactive app experiences to drive daily customer engagement. </li> <li><strong>End-to-End Pipeline Ownership:</strong> 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. </li> <li><strong>Data Infrastructure & Tooling:</strong> Identify data gaps, write clear data product specifications, and partner with Engineering to establish robust real-time tracking and performance monitoring frameworks. </li> <li><strong>Cross-Functional Partnership:</strong> 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. </li> </ul> <p><strong>Qualifications</strong></p> <p><strong>Required:</strong></p> <ul> <li>2+ years of industry experience as a data scientist, with a strong preference for consumer-facing products or e-commerce applications operating at high scale. </li> <li>MS or PhD in statistics, mathematics, engineering, computer science, or a hig