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

Job Title: Senior Data Scientist ( Data Scientist III : Supply Chain Operations Research) Company: Quince Job Category: Data Science Roles & Responsibilities: * We dream big and chase the hard problems others shy away from. Rejecting long\-held assumptions is part of our company's DNA. Where conventional wisdom says you have to choose – soft or durable, speed or rigor, quality or price – we ask why that trade\-off has to exist in the first place. * Our pace is fast and the bar is high because our customers expect a lot from us and we refuse to let them down. We believe the best results come from challenging ourselves, learning from one another, and building on each other's strengths. * Here, responsibility is not determined by role, tenure, or seniority. Every team member \- no matter their level \- has the opportunity to drive our business and shape our trajectory. THE ROLE Senior Data Scientist – Supply Chain Operations Research We are seeking a Senior Data Scientist – 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 influence 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 Data Science, Planning Tools Engineering, and supply chain stakeholders across Bangalore and Palo Alto to translate complex operational challenges into scalable, measurable solutions. This role is ideal for someone who combines strong Operations Research fundamentals with engineering fluency and a bias toward production impact. You will apply rigorous scientific methodology to real\-world supply chain problems while helping the team adopt AI\-native approaches to modelling, experimentation, and optimization. Responsibilities Operations Research \& Modelling * Own meaningful modelling workstreams across dynamic warehouse routing, shipping cost optimization, multimodal transportation, inventory placement, network flow, and PO allocation. * Take modelling problems end\-to\-end, from problem framing and data preparation through model development, deployment, and iteration. * Translate complex operational challenges into well\-defined optimization problems with clear objectives, constraints, and measurable success criteria. * Apply Operations Research methodologies including Linear Programming (LP), Mixed\-Integer Programming (MIP), Constraint Programming (CP), heuristics, vehicle routing, and network flow. * Select, configure, and tune appropriate optimization solvers and methodologies based on problem characteristics. * Design and run rigorous experiments using historical and operational data to evaluate model quality and business impact. * Analyze model performance, identify limitations, and iterate on approaches based on scientific and operational evidence. Production \& Engineering * Build and deploy optimization models into production rather than limiting work to analytical prototypes. * Own the monitoring, performance evaluation, and iteration lifecycle of models after deployment. * Develop and maintain feature pipelines, optimization workflows, and model\-serving components. * Partner with Planning Tools Engineering on solver integration, feature stores, evaluation frameworks, and model\-serving infrastructure. * Ensure models remain performant, reliable, and maintainable as supply chain networks and operational conditions evolve. * Apply engineering best practices around reproducibility, testing, monitoring, experimentation, and production model quality. Cross\-Geography Collaboration * Partner with the Palo Alto Planning Science team on shared supply chain optimization problems and modelling methodologies. * Ensure solutions developed across Bangalore and Palo Alto integrate effectively and avoid duplicated efforts. * Communicate modelling approaches, assumptions, results, limitations, and trade\-offs through clear written documentation. * Collaborate effectively across distributed teams and time zones with a strong emphasis on asynchronous communication. 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. Work Location: Bengaluru, Karnataka, India Availability: Full time

Qualifications Required: * 1-2 years of experience in Operations Research, Data Science, Applied Mathematics, Industrial Engineering, or a related quantitative field. * Demonstrated experience building and deploying production models that have delivered measurable business impact. * Strong expertise in optimization methodologies including LP, MIP, CP, heuristics, vehicle routing, and network flow. * Hands\-on experience solving supply chain Operations Research problems such as warehouse routing, transportation optimization, inventory placement, network optimization, or procurement. * Ability to take modelling problems from formulation and experimentation through production deployment and iteration. * Strong engineering fluency across areas such as feature pipelines, solver integration, experimentation infrastructure, and model serving. * Experience working with real\-world operational data, including noisy, incomplete, or continuously changing datasets. * Strong experimentation, backtesting, and model evaluation skills. * Experience working with optimization solvers and production\-grade Data Science workflows. * Demonstrated experience applying AI/LLM tools to scientific workflows such as model formulation, problem decomposition, or experiment design. * Strong written and verbal communication skills, with the ability to explain complex technical concepts to technical and non\-technical stakeholders. * Ability to work independently in ambiguous environments and collaborate effectively across teams and geographies. Preferred: * Advanced degree in Operations Research, Industrial Engineering, Computer Science, Statistics, Applied Mathematics, or a related quantitative field. * Experience in e\-commerce, retail, logistics, supply chain, transportation, or warehouse optimization. * Experience with optimization solvers such as Gurobi, CPLEX, OR\-Tools, or similar. * Experience solving large\-scale vehicle routing, network optimization, or other combinatorial optimization problems. * Experience building production\-grade optimization or decision\-support platforms. * Experience working with distributed Data Science or Operations Research teams. * Strong experience using AI/GenAI tools to accelerate scientific experimentation and modelling workflows. * Experience with cloud\-based Data Science, optimization, and model deployment platforms. 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. Key Skills: Data Science, Statistics Salary: Not disclosed