Operations Research Scientist

Immediate need for a talented Operations Research Scientist . This is a 06+ Months Contract opportunity with long-term potential and is located in Atlanta GA (Hybrid) . Please review the job description below and contact me ASAP if you are interested.

Job ID:26-29258

Pay Range: $55 - $62/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).


Key Responsibilities:

• Develop real-time, tactical, and strategic network disruption management and recovery models to support railroad operations and service resiliency.
• Provide production support, maintenance, and continuous enhancements for existing operations research applications.
• Design, develop, and implement advanced mathematical optimization, simulation, and machine learning models using Python, Java or C++.
• Evaluate the accuracy, completeness, and quality of data sources, and develop effective solutions to address data quality issues and gaps.
• Collaborate with business partners across multiple departments to identify opportunities for operational improvements and process optimization.
• Work closely with application development teams to integrate analytical models and decision-support tools into production environments.
• Provide technical leadership and supervise team members to achieve organizational goals by fostering collaboration, open communication, professional development, and adaptability.
• Communicate analytical findings, model recommendations, and business impacts to stakeholders and senior leadership to support data-driven decision-making.
• Lead initiatives focused on improving network resilience, service reliability, and operational recovery during planned and unplanned disruptions.

Key Requirements and Technology Experience:

• Must have skills : Operations Research, Optimization, Python, Machine Learning
• 3-5 years of experience developing and deploying decision-support systems using operations research methodologies.
• 3-5 years of experience supporting network recovery, disruption management, and operational resiliency initiatives.
• 3-5 years of experience designing and implementing optimization models for large-scale operational planning and real-time decision-making applications.
• 3-5 years of experience applying reinforcement learning, machine learning, and network optimization techniques to support adaptive and autonomous decision-making.
• Experience developing nonlinear optimization and AI-enhanced optimization models that improve solution quality, robustness, scalability, and explainability.
• 3-5 years of experience following software development best practices, including design, testing, deployment, and maintenance of production applications.
• Master's or Ph.D.
• Strong expertise in mathematical optimization techniques, including Linear Programming (LP), Mixed Integer Programming (MIP), and Nonlinear Optimization (NLP)
• Experience with commercial or open-source optimization solvers such as Gurobi or CPLEX
• Experience with machine learning, predictive analytics, neural networks, deep learning, or discrete-event simulation.
• Proficiency in Python and experience with one or more additional programming languages such as Java or C++.
• Experience with model deployment and production integration.
• Strong SQL skills and experience working with large-scale relational databases.
• Experience with data quality assessment, feature engineering, and model validation.

Our client is a leading rail transportation Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.


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