Distribution and Logistics Optimization Consultant
ZS•Atlanta, GA
•Hybrid
About The Position
ZS is seeking a Distribution and Logistics Optimization 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.
Requirements
- Degree in Industrial Engineering, Operations Research, Applied Mathematics, Computer Science, Supply Chain, Analytics, or a related field.
- At least 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
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- Comprehensive total rewards package
- Supports health and well-being
- Supports financial future
- Supports time away
- Supports professional development
- Robust skills-building programs
- Multiple career progression paths
- Internal mobility
- Deeply collaborative culture
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
