Mathematical Optimization Research Scientist

ExxonMobil   •  

Houston, TX

Industry: Energy & Utilities


Not Specified years

Posted 61 days ago

This job is no longer available.

Job Role Summary

ExxonMobil is looking for a mathematical optimization scientist with backgrounds in operations research, management sciences, applied mathematics or engineering. We are looking for dynamic, creative, and resourceful individuals to join our research efforts in broad set of upstream oil & gas areas including exploration, development, production and commercial. The focus on value generation provides the opportunity to have significant impact leveraging ExxonMobil's strong belief in creating commercial advantage through the use of technology. The company places high emphasis on fundamental scientific skills and the ability to combine technical skills with business understanding to improve profitability.

Job Role Responsibilities

• Design and develop complex optimization and simulation models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions.

• Distill problem definitions and constraints from informal or abstract business requirements and engineering problems; and to deal with ambiguity and competing objectives.

• Apply theories of mathematical optimization, including linear programming, combinatorial optimization, integer programming, network flows and algorithms to design optimal or near optimal solution methodologies.

• Contribute to various stages of optimization model development and deployment

• Provide technical support and enhancements to affiliates worldwide for deployed research applications.

• Research and propose use of new technologies.

Expected Level of Proficiency

• Ph.D. in Engineering, Applied Mathematics, Computer Science, Operations Research, or other related scientific disciplines, combined with strong computational modeling and algorithmic skills.

• Strong background in modeling large scale discrete, nonlinear, or stochastic mathematical optimization models and developing efficient optimization algorithms.

• Ability to convey rigorous mathematical concepts and considerations to non-technical audience.

• Expert in at least one major programming language (C/C++, C#, Java, Python, etc.) or optimization modeling language (e.g. AMPL, GAMS, AIMMS, OPL, etc.)

• Demonstrated communication skills and software development skills in a collaborative team environment.

• Have a desire and an ability to grow into new science areas.

• Experience in the petrochemical industry or geoscience is not required.