Optimization Associate Jobs in Georgia (NOW HIRING)

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

Insights & Analytics

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

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.

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

Work Authorization:

This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.