ExxonMobil is seeking an Optimization Scientist to design, implement, and scale advanced optimization solutions across domains such as supply chain, commercial operations, and trading. The ideal candidate will have a Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related discipline, and 2+ years of experience in designing and deploying mathematical optimization models.
Requirements
- Ph.D. in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related discipline
- 2+ years of experience in designing and deploying mathematical optimization models
- Expertise in linear, mixed-integer programming, optimization under uncertainty (stochastic/robust optimization), algorithm development including decomposition for large-scale optimization
- Strong programming skills in Python or similar languages, with experience using solvers like Gurobi/CPLEX
- Understanding of cloud-based architecture solutions for large-scale optimization
- Strong communication skills with ability to communicate technical details to non-technical business partners
- Strong strategic mindset with the ability to drive large-scale initiatives
- Proven ability to influence and engage with cross-functional teams and leadership
Benefits
- Pension Plan
- Savings Plan
- Workplace Flexibility
- Comprehensive medical, dental, and vision plans
- Culture of Health
- Employee Health Advisory Program
- Disability Plan