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Mathematical Optimization Research Scientist (PhD)


Spring, TX, US

Company:  ExxonMobil

Job Summary

ExxonMobil is looking for a mathematical optimization scientist with background in operations research, management sciences, applied mathematics or related engineering discipline. We are looking for dynamic, creative, and resourceful individuals to join our research efforts in broad set of oil & gas areas including geoscience, engineering and commercial. You will work to apply various operations research technologies to support critical business decisions across the entire value chain. 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 Responsibilities
  • Design and develop complex optimization and simulation models and apply them to define strategic and tactical needs and drive 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.

Alternate Location:  


ExxonMobil is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Nearest Major Market: Houston

Job Segment: Scientific, Engineer, Computer Science, Java, Engineering, Research, Technology

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