Immediate need for a talented . 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.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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