Staff Data Scientist (TLM)

Operations Research & Workstream Ownership

Methodology & Scientific Rigor

AI-Native Science & Innovation

Technical Leadership & Cross-Geography Collaboration

Mentorship & Team Building

Business Partnership

Qualifications

• Required:
• 9–12 years of experience in Operations Research, Data Science, Applied Mathematics, Industrial Engineering, or a related quantitative discipline
• Deep expertise in optimization methodologies including LP, MIP, Constraint Programming, Vehicle Routing, Network Flow, Metaheuristics, and Stochastic Optimization
• Demonstrated experience owning OR or optimization workstreams end-to-end, from problem formulation through production deployment and measurable business impact
• Strong understanding of supply chain optimization problems such as warehouse operations, transportation, inventory, network planning, logistics, or procurement
• Strong engineering capabilities to productionize analytical and optimization solutions, including feature pipelines, solver integration, model serving, and experimentation infrastructure
• Experience working with real-world operational datasets that may be large, noisy, sparse, or non-stationary
• Strong understanding of experimentation, backtesting, model evaluation, and scientific validation
• Experience partnering with engineering teams to build and deploy production-grade data science or optimization systems
• Demonstrated experience mentoring Data Scientists, Operations Researchers, or other technical professionals
• Strong written and verbal communication skills, with the ability to influence technical and business stakeholders
• Ability to operate effectively in highly ambiguous, fast-paced environments and independently drive complex problems to completion
• Experience using AI/LLM tools to accelerate scientific workflows while maintaining rigorous standards for validation and quality
• Advanced degree in Operations Research, Industrial Engineering, Computer Science, Statistics, Applied Mathematics, or a related quantitative field preferred
• Preferred:
• PhD in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, Statistics, or a related quantitative discipline
• Experience building optimization systems for e-commerce, retail, logistics, supply chain, transportation, or warehouse operations
• Experience with commercial or open-source optimization solvers such as Gurobi, CPLEX, OR-Tools, or similar
• Experience with large-scale vehicle routing, network optimization, or stochastic optimization problems
• Experience building production ML/OR platforms and model-serving infrastructure
• Experience working with distributed science or engineering teams across multiple geographies
• Strong experience applying AI/GenAI to model formulation, optimization problem decomposition, experimentation, or scientific workflows
• Experience building and scaling an Operations Research or Data Science function
• Demonstrated track record of publishing research, contributing to open-source projects, or presenting technical work in the OR/Data Science community
• WHY QUINCE?
• Joining 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.
• EQUAL OPPORTUNITY & HIRING INTEGRITY
• Quince 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.
• 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.
• Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.
• 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.