Staff Data Scientist (TLM)

About the company

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.

About this role

<div class="content-intro"><p data-renderer-start-pos="34"><strong data-renderer-mark="true"><u data-renderer-mark="true">ABOUT QUINCE&nbsp;</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 &amp; 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&nbsp;</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.&nbsp;</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 data-renderer-start-pos="2301" data-local-id="6d5afd27-5970-45c1-b675-f5df64663cbf"><strong>Staff Data Scientist – Supply Chain Operations Research</strong></p> <p class="PDq2pG_selectionAnchorContainer" data-start="247" data-end="637">We are seeking a Staff Data Scientist : Supply Chain Operations Research to join our Supply Chain Planning Science team in Bangalore. In this role, you will lead the development and productionization of advanced Operations Research solutions that power critical supply chain decisions across warehouse routing, transportation, network planning, inventory, and purchase order allocation.</p> <p data-start="639" data-end="1108">As a founding science leader for the India-based Operations Research team, you will own OR workstreams end-to-end — from problem formulation and methodology selection to production deployment, experimentation, and measurable business impact. You will partner closely with Supply Chain Planning, Engineering, Logistics, Warehouse Operations, and Science teams across Bangalore and Palo Alto to translate complex operational problems into scalable optimization solutions.</p> <p data-start="1110" data-end="1412">Success in this role means building production-grade optimization systems that materially improve supply chain efficiency, establishing strong scientific standards for the OR organization, and raising the technical bar through mentorship, collaboration, and AI-native approaches to Operations Research.</p> <p data-renderer-start-pos="2663" data-local-id="e0c03b8d-8a8f-42ae-b3e9-26b5a2308ae6"><strong data-renderer-mark="true"><span class="fabric-text-color-mark" data-renderer-mark="true" data-text-custom-color="#0747a6">Responsibilities:</span></strong></p> <h4 class="PDq2pG_selectionAnchorContainer" data-section-id="1iec1lt" data-start="1444" data-end="1494"><strong data-start="1448" data-end="1494">Operations Research &amp; Workstream Ownership</strong></h4> <ul> <li>Own Operations Research workstreams end-to-end across areas such as dynamic warehouse routing, shipping cost optimization, multi-modal transportation, network flow, inventory planning, and PO allocation</li> <li>Translate complex supply chain and operational challenges into well-defined optimization problems and measurable objectives</li> <li>Select and apply appropriate optimization methodologies including Linear Programming (LP), Mixed-Integer Programming (MIP), Constraint Programming (CP), vehicle routing, network flow, metaheuristics, and stochastic optimization</li> <li>Develop, productionize, and continuously improve optimization models based on real-world operational feedback and measurabl