... Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy ... Solver Mastery & Engineering: Execute advanced tuning, parameter configuration, and structural ...
... Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy ... Solver Mastery & Engineering: Execute advanced tuning, parameter configuration, and structural ...
Exxon Engineer information
What is the difference between Exxon Engineer vs Exxon Geologist?
| Aspect | Exxon Engineer | Exxon Geologist |
|---|---|---|
| Required Credentials | Bachelor's in Engineering (Petroleum, Mechanical, Chemical) | Bachelor's or Master's in Geology or Earth Sciences |
| Work Environment | Field sites, offshore platforms, engineering offices | Field exploration sites, research labs, office settings |
| Industry Usage | Design, develop, and maintain oil extraction and processing systems | Explore, analyze, and assess geological formations for oil reserves |
Exxon Engineers focus on designing and maintaining oil extraction systems, working closely with technical teams in engineering environments. Exxon Geologists specialize in exploring and analyzing geological formations to locate oil reserves. Both roles are vital in the oil industry but differ in their focus, credentials, and daily tasks.
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Cities near Chicago, IL with the most Exxon Engineer job openings:
Principal Optimization Architect -- Gurobi & Decision Intelligence
Mundelein, IL • On-site
Other
Posted 23 days ago
Job description
About Company::
Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many other
About the Role
We are seeking an industry-leading, visionary Principal Operations Research Consultant / Optimization Architect to spearhead the design, development, and deployment of enterprise-scale decision intelligence and optimization systems. In this high-impact role, you will bridge the gap between complex algorithmic theory and real-world production execution.
You will act as the technical authority on mathematical modeling, leveraging deep expertise in Gurobi Optimizer to translate multi-faceted business bottlenecks into highly scalable, automated frameworks. This role is a unique blend of strategic solution architecture, elite hands-on mathematical programming, and technical team mentorship.
Location: - This is US based role, should be open to travel on needed basis
🎯 Key Responsibilities
- Optimization Solution Development: Design, formulate, and implement advanced mathematical optimization models (Linear Programming, Mixed-Integer Programming, Non-Linear Programming) tailored to solve complex, large-scale enterprise constraints.
- Solver Mastery & Engineering: Execute advanced tuning, parameter configuration, and structural enhancements using Gurobi Optimizer (mandatory) to drive down solve times and maximize compute efficiency. Develop pristine, maintainable code primarily in Python.
- Operations Research Leadership: Systematically apply deep OR methodologies to automate business processes, including Network Design, Fleet Routing, Logistics, Scheduling, Stochastic Optimization, and custom Heuristics/Metaheuristics.
- Team Leadership & Mentorship: Direct, manage, and scale a high-performing team of data analysts and Operations Research specialists. Conduct rigorous code reviews and establish structural modeling standards.
- Production Deployment & Automation: Collaborate with engineering teams to embed core optimization engines into enterprise software architectures. Construct scalable APIs, microservices, and continuous data pipelines for automated model execution.
Required Qualifications
- Experience: 10–12+ years of progressive professional experience explicitly dedicated to optimization architecture and applied Operations Research.
- Mandatory Technical Depth: Undeniable, extensive hands-on history delivering multiple real-world, commercial-grade optimization engines driven by Gurobi Optimizer.
- Programming Skills: Expert proficiency in Python alongside an understanding of math modeling libraries (e.g., Pyomo, PuLP, Gurobipy).
- Education: Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a deeply quantitative field.
- Leadership Track Record: Proven background in managing or mentoring technical teams and conducting advanced math code reviews.
📩 If this sounds like the right fit for you or someone you know, feel free to reach out or drop your resume in the comments or messages!