AI-Driven 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

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