ZS is seeking a Distribution and Logistics Optimization Associate Consultant to help clients improve logistics, transportation, warehousing, distribution, and merchandising through optimization, operations research, advanced analytics, and AI. This role is ideal for candidates with at least 2.5 years of experience applying quantitative methods to real-world operational problems and translating analytical insights into practical recommendations. What You'll Do • Apply optimization, analytics, and AI to logistics, warehouse, distribution, and merchandising functions. • Develop operations research models, including linear/integer programming, network optimization, heuristics, and simulation. • Support warehouse operations and planning, labor balancing, network optimization, transportation, and distribution. • Translate model outputs and operational data into actionable recommendations on cost, service, capacity, and productivity. • Support merchandising and category management use cases where analytics can improve assortment, inventory, and distribution decisions. • Support and help own technology and analytics implementations for clients, from requirements and solution design through testing, deployment, and adoption. • Communicate findings clearly to technical and business stakeholders. What You'll Bring • Degree in Industrial Engineering, Operations Research, Applied Mathematics, Computer Science, Supply Chain, Analytics, or a related field. • At least 2.5 years of experience in decision analytics, operations research, optimization, or a related quantitative field. • Strong foundation in optimization and analytical problem-solving. • Experience working with complex data and translating analysis into business recommendations. • Exposure to warehouse operations, warehouse design, labor planning, network optimization, transportation, or distribution. • Strong communication and client-facing skills. • Fluency in English • Client-first mentality • Intense work ethic • Collaborative spirit and problem-solving approach Preferred Qualifications • Experience in logistics, transportation, warehousing, distribution, merchandising, or category management. • Experience supporting or owning a technology implementation from the client side. • Exposure to AI/ML, predictive and prescriptive analytics, or agentic AI applications in operations. How you'll grow: • Cross-functional skills development & custom learning pathways • Milestone training programs aligned to career progression opportunities • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions Perks & Benefits: At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS. Hybrid working model: We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.