Optimization Engineer — AI-Driven Supply Chain

GAINS; Atlanta (GA); On-site; USD 80,000 - 110,000; Full time

Job summary

GAINS is seeking an Operations Research Engineer in Atlanta, Georgia, to leverage expertise in mathematical modeling and optimization. This role involves developing models and tools for enhancing supply chain efficiency, analyzing data trends, and collaborating with cross-functional teams. Candidates should possess a Master’s degree and at least 3 years of relevant experience. Strong programming skills and familiarity with optimization solvers are essential. GAINS is committed to equal employment opportunity and encourages diverse applicants.

Qualifications

• 3+ years of experience in operations research or optimization.
• Strong problem-solving abilities and analytical skills.
• Excellent communication skills for technical and non-technical audiences.

Responsibilities

• Develop and maintain mathematical models for supply chain operations.
• Design and implement optimization tools for complex problems.
• Analyze datasets to enhance model accuracy and identify trends.
• Collaborate with software developers for model integration.
• Provide customer support for optimization-related issues.
• Stay updated on advancements in operations research.

Skills

Mathematical modeling

Optimization techniques

Programming in Python

Data analysis

Machine learning techniques

Education

Master's in Operations Research

Tools

Gurobi

CPLEX

AWS

Azure

Job description

GAINS is seeking an Operations Research Engineer in Atlanta, Georgia, to leverage expertise in mathematical modeling and optimization. This role involves developing models and tools for enhancing supply chain efficiency, analyzing data trends, and collaborating with cross-functional teams. Candidates should possess a Master’s degree and at least 3 years of relevant experience. Strong programming skills and familiarity with optimization solvers are essential. GAINS is committed to equal employment opportunity and encourages diverse applicants.