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Mathematical Optimization Research Scientist (MS)


Spring, TX, US

Company:  ExxonMobil

Job 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 a broad set of oil & gas areas including geoscience, engineering, and commercial domains. The successful candidate 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
  • 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; handle 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.
Expected Level of Proficiency
  • MS  in Engineering, Applied Mathematics, Computer Science, Operations Research, or other related scientific disciplines, or the equivalent level of professional experience combined with strong computational modeling and algorithmic skills.
  • MS with thesis is preferred. Exceptional candidates with non-thesis MS will be considered
  • 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.
  • Proficient 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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