Operations Research Scientist

The Intersect Group; Atlanta, Northern (GA, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

The Intersect Group is seeking an Operations Research Scientist in Atlanta to develop AI-driven decision-support systems for transportation and logistics, combining Artificial Intelligence, Machine Learning, Reinforcement Learning, and Mathematical Optimization. You will build scalable models for scheduling, routing, and network recovery, deploying analytics into production environments.

The role emphasizes collaboration with business and technology teams, applying LP/MIP/nonlinear optimization

Qualifications

• Master's or PhD in Operations Research, Industrial Engineering, Computer Science, Data Science, Applied Mathematics, or a related quantitative field.

Responsibilities

• Develop machine learning, reinforcement learning, and optimization models to solve complex operational challenges.
• Design predictive and prescriptive analytics solutions that improve efficiency, resiliency, and business performance.
• Build decision-support systems for scheduling, routing, resource allocation, and network recovery.
• Apply optimization techniques including LP, MIP, and nonlinear optimization.
• Analyze large datasets to identify operational improvements and cost-saving opportunities.
• Partner with business and technology teams to deploy AI and analytical solutions into production environments.
• Support and enhance existing AI, optimization, and decision-support applications.
• Communicate analytical findings and recommendations to business leaders and stakeholders.

Skills

Python programming

Machine learning

Reinforcement learning

Optimization

Data analysis

Education

Master's or PhD in OR/IE/CS/Data Science

Tools

Gurobi

CPLEX

SQL

Java or C++

Job description

## Operations Research Scientist**Atlanta,GA30308**Posted: 09/21/2026Employment Type:ContractCategory: IT - AI/MLJob Number: 251119Work Location: Hybrid## Job DescriptionWe are seeking an Operations Research Scientist to develop AI-driven decision-support systems that improve operational performance, network efficiency, service reliability, and cost optimization. This role combines Artificial Intelligence, Machine Learning, Reinforcement Learning, and Mathematical Optimization to solve complex transportation and logistics challenges. The ideal candidate will build scalable models and intelligent systems that support real-time and strategic decision-making. Key Responsibilities* Develop machine learning, reinforcement learning, and optimization models to solve complex operational challenges.* Design predictive and prescriptive analytics solutions that improve efficiency, resiliency, and business performance.* Build decision-support systems for scheduling, routing, resource allocation, and network recovery.* Apply optimization techniques including LP, MIP, and nonlinear optimization.* Analyze large datasets to identify operational improvements and cost-saving opportunities.* Partner with business and technology teams to deploy AI and analytical solutions into production environments.* Support and enhance existing AI, optimization, and decision-support applications.* Communicate analytical findings and recommendations to business leaders and stakeholders.Required Qualifications* Master's or PhD in Operations Research, Industrial Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related quantitative field.* 3+ years of experience developing AI, machine learning, optimization, or decision-support solutions.* Experience with predictive analytics, machine learning, reinforcement learning, and optimization modeling.* Strong Python programming skills.* Experience with SQL and large-scale datasets.* Experience deploying analytical models into production environments.Preferred Qualifications* Experience with Gurobi, CPLEX, or other optimization solvers.* Transportation, logistics, supply chain, or network optimization experience.* Experience with scheduling, routing, capacity planning, or operational recovery.* Experience building real-time analytics and intelligent decision-support systems.Technical Skills* Python* SQL* Machine Learning* Reinforcement Learning* Optimization (LP, MIP, NLP)* Predictive & Prescriptive Analytics* Gurobi / CPLEX* Java or C++ (preferred)Impact This role will help drive AI-powered decision-making, improve network performance, increase operational resiliency, reduce costs, and deliver measurable business value through advanced analytics and intelligent automation.