Contract OR Scientist: Real-Time Transport & ML (Hybrid)

Visionaire Partners, LLC.; Atlanta (GA); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Visionaire Partners, LLC. seeks an analytical Operations Research Scientist to create advanced optimization, ML, and decision-support algorithms that elevate transit network efficiency, service reliability, and cost performance.

You will apply OR, reinforcement learning, and mathematical optimization to tackle complex transportation and logistics challenges alongside business stakeholders and tech teams, with a 12-month contract in Midtown Atlanta offering hybrid work (2 days onsite, travel as

Qualifications

• 3–5 years of experience deploying decision-support OR models.
• Master’s or Ph.D. in Operations Research, Industrial Engineering, Applied Math, CS, or Data Science.
• Proficiency in Python, SQL, and Java/C++ alongside solver experience (Gurobi, CPLEX).
• Expertise in LP, MIP, NLP, deep learning, discrete-event simulation, and reinforcement learning.
• Preferred: Background in rail transit operations, routing, scheduling, or asset allocation.
• US Work Authorization required (no sponsorship).

Responsibilities

• Build real-time, tactical, and strategic disruption recovery models for transit operations.
• Design and deploy optimization, simulation, and ML models in Python, Java, or C++.
• Maintain and upgrade production OR systems and integrate tools into enterprise environments.
• Resolve data quality gaps, validate models, and conduct feature engineering.
• Guide team members, present findings to executive leadership, and drive service resiliency.

Skills

Optimization

Simulation

Machine Learning

Reinforcement Learning

Education

Master’s/PhD in OR/Industrial Eng/Applied Math/CS/Data Science

Tools

Gurobi

CPLEX

Python

SQL

Java/C++

Job description

Visionaire Partners, LLC. seeks an analytical Operations Research Scientist to create advanced optimization, ML, and decision-support algorithms that elevate transit network efficiency, service reliability, and cost performance.

You will apply OR, reinforcement learning, and mathematical optimization to tackle complex transportation and logistics challenges alongside business stakeholders and tech teams, with a 12-month contract in Midtown Atlanta offering hybrid work (2 days onsite, travel as