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

About this role

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

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

We are seeking a Senior Data Scientist (Data Scientist III : Supply Chain Operations Research) 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.

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.

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.

Responsibilities

Operations Research & Modelling

• Own meaningful modelling workstreams across areas such as dynamic warehouse routing, shipping cost optimization, multi-modal transportation, inventory placement, network flow, and PO allocation

• Take ownership of problems end-to-end, from problem framing and data preparation through model development, deployment, and iteration

• Translate operational challenges into well-defined optimization problems with clear objectives, constraints, and measurable success criteria

• Apply appropriate Operations Research methodologies including Linear Programming (LP), Mixed-Integer Programming (MIP), Constraint Programming (CP), heuristics, vehicle routing, and network flow

• Select and tune appropriate solvers and optimization approaches based on the characteristics of each problem

• Run rigorous experiments and evaluate models against historical and operational data to ensure results are statistically and operationally meaningful

AI-Native Science

• Use AI-native workflows including LLM-assisted model formulation, agentic decomposition of complex optimization problems, and AI-augmented experiment design

• Evaluate AI-generated approaches alongside classical optimization methodologies based on measurable outcomes and scientific rigor

• Validate AI-generated recommendations and hypotheses before incorporating them into production decision-making

• Contribute to evolving team standards and best practices for applying AI effectively within Operations Research

Production & Engineering

• Build and deploy models into production rather than limiting work to analytical prototypes or reports

• Own the monitoring, performance evaluation, and iteration cycle for models after deployment

• Develop and maintain feature pipelines, optimization workflows, and model-serving components

• Partner with the Planning Tools Engineering team on solver integration, feature stores, evaluation frameworks, and model-serving infrastructure

• Ensure models remain performant and reliable as supply chain networks, business conditions, and operational patterns evolve

• Contribute to engineering best practices around reproducibility, testing, monitoring, and production model quality

Cross-Geography Collaboration

• Partner with the Palo Alto Planning Science team on shared supply chain optimization problems and methodologies

• Ensure modelling approaches and systems developed across geographies integrate effectively and avoid duplicated solutions

• Communicate methodology, results, assumptions, and trade-offs clearly through written documentation

• Work effectively across distributed teams and…