Real-Time Rail Optimization Scientist

Revolution Technologies; Atlanta (GA); On-site; USD 110,000 - 150,000; Full time

Job summary

Client Corporation seeks an innovative Operations Research Scientist to develop optimization, ML, and decision-support solutions that improve network performance, efficiency, and reliability. You will work with stakeholders, software engineers, and leaders to transform data into scalable decision-support systems for transportation and logistics challenges.

The role emphasizes cutting-edge optimization, reinforcement learning, and AI methods to solve complex problems, with collaboration across

Qualifications

• Master's or PhD in quantitative field including OR/Math/CS
• 3-5 years deploying decision-support systems
• Experience with network disruption and resiliency
• Experience with optimization for large-scale planning
• Experience applying ML/AI to optimization problems
• Software development practices and production deployment

Responsibilities

• Develop real-time, tactical, and strategic network disruption models for railroad operations.
• Provide production support and continuous enhancements for OR applications.
• Design and implement optimization, simulation, and ML models in Python/Java/C++.
• Evaluate data quality and close data gaps for modeling.
• Collaborate with business partners to identify operational improvements.
• Integrate analytical models into production environments.
• Provide technical leadership and mentorship to the team.
• Communicate findings and business impact to stakeholders.
• Lead resilience and recovery initiatives during disruptions.

Skills

Operations research

Optimization theory

Reinforcement learning

Machine learning

Python programming

Java or C++

SQL & databases

Model deployment

Education

Master's in Operations Research

Master's in Applied Mathematics

Master's in Statistics

Master's in Computer Science

Master's in Information Systems

Master's in Data Science

Other quantitative disciplines

Tools

Gurobi

CPLEX

Relational databases

Job description

Client Corporation seeks an innovative Operations Research Scientist to develop optimization, ML, and decision-support solutions that improve network performance, efficiency, and reliability. You will work with stakeholders, software engineers, and leaders to transform data into scalable decision-support systems for transportation and logistics challenges.

The role emphasizes cutting-edge optimization, reinforcement learning, and AI methods to solve complex problems, with collaboration across