Hybrid Ops Research Scientist: Real-Time Optimization & AI

GSquared Group; Atlanta (GA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

GSquared Group is seeking an Operations Research Scientist to develop advanced optimization, ML, and decision-support systems that boost operational efficiency and reduce costs. The role combines disruption management, real-time optimization, and scalable analytics.

The candidate will collaborate with engineers and leaders to transform data into actionable insights, deploy production models, and continuously improve resilience and performance in a hybrid Atlanta setting.

Qualifications

• 3–5 years of experience developing decision-support systems.
• 3–5 years supporting disruption management and resiliency initiatives.
• 3–5 years designing optimization models for large-scale planning and real-time decisions.
• 3–5 years applying ML/optimization for autonomous decision-making.

Responsibilities

• Develop real-time, tactical, and strategic disruption management and recovery models.
• Provide production support and enhancements for existing OR applications.
• Design, develop, and implement advanced optimization, simulation, and ML models in Python, Java, or C++.
• Evaluate data quality and address gaps and issues.
• Collaborate with business partners to identify operational improvements.
• Integrate analytical models into production environments.
• Provide technical leadership and support team development.
• Communicate findings and impacts to stakeholders and senior leadership.
• Lead initiatives to improve resilience and recovery during disruptions.
• Drive continuous improvement of optimization models for scalability and efficiency.

Skills

Optimization techniques

Reinforcement learning

Machine learning

Python

SQL

Education

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

Tools

Gurobi/CPLEX

Python libraries (NumPy/SciPy)

Java or C++

Job description

GSquared Group is seeking an Operations Research Scientist to develop advanced optimization, ML, and decision-support systems that boost operational efficiency and reduce costs. The role combines disruption management, real-time optimization, and scalable analytics.

The candidate will collaborate with engineers and leaders to transform data into actionable insights, deploy production models, and continuously improve resilience and performance in a hybrid Atlanta setting.