Senior Data Scientist ( Data Scientist III : Supply Chain Operations Research)

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> <h4 class="PDq2pG_selectionAnchorContainer" data-start="16" data-end="76" data-section-id="u5adxi"><span><strong data-start="19" data-end="76">Senior Data Scientist (Data Scientist III : Supply Chain Operations Research)</strong></span></h4> <p class="" data-start="78" data-end="449">We are seeking a&nbsp;<span>Senior Data Scientist (Data Scientist III : Supply Chain Operations Research) </span>to join our Supply Chain Planning Science team in Bangalore. In this role, you will develop and productionize advanced Operations Research and optimization solutions that drive critical supply chain decisions across warehouse routing, transportation, inventory planning, and network optimization.</p> <p data-start="451" data-end="834">You will own meaningful modelling workstreams end-to-end, from problem formulation and experimentation through production deployment, monitoring, and iteration. You will work closely with the Staff Data Scientist, Planning Tools Engineering, and supply chain stakeholders across Bangalore and Palo Alto to translate complex operational challenges into scalable, measurable solutions.</p> <p data-start="836" data-end="1184">Success in this role means building models that move real business metrics, applying rigorous scientific methodology, and ensuring that your solutions are reliable enough to operate in production. You will also contribute to AI-native approaches to Operations Research and help establish strong scientific and engineering practices across the team.</p> <p data-renderer-start-pos="2301" data-local-id="6d5afd27-5970-45c1-b675-f5df64663cbf"><strong data-renderer-mark="true"><span class="fabric-text-color-mark" data-renderer-mark="true" data-text-custom-color="#0747a6">Responsibilities</span></strong></p> <p data-renderer-start-pos="2681" data-local-id="24344a09-732f-4c24-82f1-9b8041341cab"><span><strong data-start="1220" data-end="1255">Operations Research &amp; Modelling</strong></span></p> <ul> <li>Own meaningful modelling workstreams across areas such as dynamic warehouse routing, shipping cost optimization, multi-modal transportation, inventory placement, network flow, and PO allocation</li> <li>Take ownership of problems end-to-end, from problem framing and data preparation through model development, deployment, and iteration</li> <li>Translate operational challenges into well-defined optimization problems with clear objectives, constraints, and measurable success criteria</li> <li>Apply appropriate Operations Research methodologies including Linear Programming (LP), Mixed-Integer Programming (MIP), Constraint Programming (CP), heuristics, vehicle routing, and network flow</li>