Note: The job is a remote job and is open to candidates in USA. STM Consulting, Inc. is seeking a Gurobi Optimizer & Solver SME to support advanced optimization initiatives. The role will develop and deploy mathematical optimization models, optimize solver performance, and lead end-to-end solution lifecycles. It will also provide operations research leadership, mentor analysts and specialists, and integrate optimization models into production systems.
Responsibilities
- Design, develop, and implement advanced optimization models (LP, MIP, NLP, etc.) using Gurobi solvers
- Translate complex business problems into mathematical models and scalable optimization frameworks
- Lead end-to-end optimization project lifecycles: problem definition, modeling, implementation, testing, and deployment
- Demonstrate deep expertise in Gurobi Optimizer and strong familiarity with other solvers (e.g., CPLEX, SCIP, CBC)
- Optimize model performance through tuning, parameter configuration, and advanced solver techniques
- Develop efficient and scalable code in Python (preferred) or other relevant languages
- Apply advanced OR techniques including:
- Linear & Integer Programming
- Network Optimization
- Scheduling & Routing
- Stochastic Optimization
- Heuristics & Metaheuristics
- Drive innovation in optimization methodologies and solution approaches
- Manage and mentor a team of analysts and OR specialists
- Provide technical guidance and enforce best practices in modeling and coding
- Conduct code reviews and ensure high-quality deliverables
- Work closely with engineering teams to integrate optimization models into production systems
- Develop APIs or pipelines for model execution and automation
- Monitor model performance and continuously improve solutions post-deployment
Skills
- Bachelor's/Master's/PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related field
- 10 years of experience in optimization and Operations Research
- Extensive hands-on experience with Gurobi Optimizer (mandatory)
- Proven experience delivering multiple real-world optimization projects
- Deep understanding of mathematical modeling and algorithm design
- Strong programming skills in Python (preferred), along with experience in optimization libraries
Benefits
- Remote work arrangement with some travel to Dallas, TX
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