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. The role is intended for candidates with at least five years of experience applying quantitative methods to operational problems and translating analytical insights into practical recommendations. The consultant develops and applies optimization and analytics solutions, supports operational planning and technology implementations, and communicates findings to technical and business stakeholders. Work may include warehouse operations and planning, labor balancing, network optimization, transportation, distribution, merchandising, assortment, inventory, and category management. The role follows a hybrid working model combining work from home with on-site presence at client locations or ZS offices. Client-facing employees should be prepared to travel as project and client needs require. Candidates must be authorized to work in the United States without current or future employer visa sponsorship. An online application with official or unofficial transcripts is required.

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.
  • Must be authorized to work in the United States without current or future employer sponsorship.
  • An online application including a full set of official or unofficial transcripts is required.

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 and 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 client technology and analytics implementations, from requirements and solution design through testing, deployment, and adoption.
  • Communicate findings clearly to technical and business stakeholders.

Benefits

  • Comprehensive total rewards package supporting health and well-being, financial future, time away, and professional development.
  • Skills-building programs.
  • Multiple career progression paths and internal mobility.
  • Flexible and connected working model.
  • Cross-functional skills development and custom learning pathways.
  • Milestone training programs aligned to career progression opportunities.
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