{"id":53211,"url":"https://alion.io/job/quince-staff-data-scientist-tlm","title":"Staff Data Scientist (TLM)","company":{"id":716300,"name":"Quince","domain":"quince.com","url":"https://alion.io/company/quince-2","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":82,"open_postings":28,"ghost_share":0.036,"stale_share":0.429,"repost_share":0.036,"time_to_fill_p50_days":80,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":78000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Rest-Assured","optional":false}],"status":"live","first_seen_at":"2026-08-12T10:23:54Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-27T17:04:26Z","board_verified":true,"closed_at":null,"days_open":76,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":76},"description":"ABOUT QUINCE\nQuince is a destination for builders, creators, innovators, and operators who want to come together and challenge the status quo. Our mission is simple: make really high quality essentials for really low prices, fairly and sustainably. We deliver on that mission through a unique manufacturer-to-consumer (M2C) model eliminating the layers of traditional retail that add cost and result in consumers paying more than they need to. We find, build relationships with, and work directly with the manufacturing partners behind some of the world’s finest products. From there, our teams design smart, efficient operational processes and build and deploy proprietary technology, AI, and analytics to help us scale fast.\nWhat began with a small assortment of elevated basics has quickly grown into a cross-category brand spanning apparel, accessories, home goods, and more. Today, tens of millions of people across a growing number of countries come - and return - to Quince because they trust us to deliver.\nOUR CULTURE\nQuince is a culture built for builders by builders. Our way of working starts with a blank sheet of paper. We question conventional thinking, use technology and data to uncover new opportunities, and move quickly to turn ideas into reality. We aren’t interested in replicating how others do retail. We’re building a better way - at a speed and scale unlike anything that’s been done before.\nWe 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.\nOur 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. \nHere, 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. \nIf you’re someone who likes to imagine new possibilities and build better systems rather than plug-in to outdated ones, Quince is the place for you.\nTHE ROLE \nStaff Data Scientist - Supply Chain Operations Research\nWe 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.\nAs 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.\nSuccess 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.\nResponsibilities:\nOperations Research & Workstream Ownership\nOwn 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\nTranslate complex supply chain and operational challenges into well-defined optimization problems and measurable objectives\nSelect and apply appropriate optimization methodologies including Linear Programming (LP), Mixed-Integer Programming (MIP), Constraint Programming (CP), vehicle routing, network flow, metaheuristics, and stochastic optimization\nDevelop, productionize, and continuously improve optimization models based on real-world operational feedback and measurable business outcomes\nPartner with Planning Tools and Engineering teams to define requirements for solver integration, feature pipelines, model serving, evaluation infrastructure, and production systems\nMethodology & Scientific Rigor\nEstablish and maintain high methodological standards for Operations Research across the organization\nEvaluate different optimization approaches using rigorous, data-driven experimentation rather than relying on a single modeling methodology\nDefine experimentation standards including clean data splits, historical backtesting, model validation, and robust evaluation frameworks\nWork effectively with sparse, noisy, incomplete, and non-stationary operational data\nChallenge assumptions, validate hypotheses rigorously, and be willing to reject approaches that do not demonstrate measurable impact\nEnsure optimization models are explainable, maintainable, and appropriate for real-world operational decision-making\nAI-Native Science & Innovation\nDrive the adoption of AI-native workflows across Operations Research, including LLM-assisted model formulation, agentic problem decomposition, and AI-assisted experiment design\nIdentify opportunities where AI can accelerate scientific workflows while maintaining rigorous validation and methodological standards\nBuild and improve AI-augmented experimentation and optimization workflows\nEstablish practical standards for evaluating AI-generated hypotheses, formulations, and recommendations before they influence production decisions\nTechnical Leadership & Cross-Geography Collaboration\nSet the technical and scientific direction for the India-based Operations Research team\nPartner closely with the Palo Alto Staff Data Scientist and Director, Supply Chain Planning Science & Platform to establish a cohesive science roadmap across geographies\nCommunicate complex methodologies, technical decisions, and roadmaps clearly through written documentation and design discussions\nWork effectively across distributed teams and time zones, ensuring technical decisions can be executed without requiring constant real-time guidance\nInfluence engineering and science architecture decisions related to optimization platforms, data pipelines, model serving, and evaluation infrastructure\nMentorship & Team Building\nMentor Data Scientists and Operations Research practitioners through technical guidance, code reviews, design discussions, and direct coaching\nRaise the methodological and engineering bar across the OR team\nHelp define technical standards, best practices, and expectations for high-quality Operations Research\nContribute to hiring and help build a high-caliber Operations Research organization as the team scales\nBusiness Partnership\nPartner with supply chain, logistics, warehouse, and planning stakeholders to understand operational challenges and translate them into optimization problems\nConvert complex model outputs into clear, actionable recommendations that business and operations teams can use\nEducate stakeholders on model capabilities, limitations, assumptions, and appropriate use cases\nChallenge over-fitted or incorrectly defined business problems and ensure scientific rigor is maintained in decision-making\nQualifications\nRequired:\n9-12 years of experience in Operations Research, Data Science, Applied Mathematics, Industrial Engineering, or a related quantitative discipline\nDeep expertise in optimization methodologies including LP, MIP, Constraint Programming, Vehicle Routing, Network Flow, Metaheuristics, and Stochastic Optimization\nDemonstrated experience owning OR or optimization workstreams end-to-end, from problem formulation through production deployment and measurable business impact\nStrong understanding of supply chain optimization problems such as warehouse operations, transportation, inventory, network planning, logistics, or procurement\nStrong engineering capabilities to productionize analytical and optimization solutions, including feature pipelines, solver integration, model serving, and experimentation infrastructure\nExperience working with real-world operational datasets that may be large, noisy, sparse, or non-stationary\nStrong understanding of experimentation, backtesting, model evaluation, and scientific validation\nExperience partnering with engineering teams to build and deploy production-grade data science or optimization systems\nDemonstrated experience mentoring Data Scientists, Operations Researchers, or other technical professionals\nStrong written and verbal communication skills, with the ability to influence technical and business stakeholders\nAbility to operate effectively in highly ambiguous, fast-paced environments and independently drive complex problems to completion\nExperience using AI/LLM tools to accelerate scientific workflows while maintaining rigorous standards for validation and quality\nAdvanced degree in Operations Research, Industrial Engineering, Computer Science, Statistics, Applied Mathematics, or a related quantitative field preferred\nPreferred:\nPhD in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, Statistics, or a related quantitative discipline\nExperience building optimization systems for e-commerce, retail, logistics, supply chain, transportation, or warehouse operations\nExperience with commercial or open-source optimization solvers such as Gurobi, CPLEX, OR-Tools, or similar\nExperience with large-scale vehicle routing, network optimization, or stochastic optimization problems\nExperience building production ML/OR platforms and model-serving infrastructure\nExperience working with distributed science or engineering teams across multiple geographies\nStrong experience applying AI/GenAI to model formulation, optimization problem decomposition, experimentation, or scientific workflows\nExperience building and scaling an Operations Research or Data Science function\nDemonstrated track record of publishing research, contributing to open-source projects, or presenting technical work in the OR/Data Science community\nWHY QUINCE?\nJoining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.\nEQUAL OPPORTUNITY & HIRING INTEGRITY\nQuince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. \nQuince 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.\nEmployment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.\nSecurity Advisory: Beware of Frauds\nAt 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. 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