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Optimization Scientist

Location: 

Bengaluru, KA, IN

Company:  ExxonMobil

Job Role Summary

ExxonMobil is looking to add mathematical optimization scientist to its team in India to work on challenging problems in broad set of oil and gas areas including geoscience, engineering, commercial, and low carbon solutions. Your main work will be implementing, customizing, adapting, deploying and supporting existing technologies and solutions for problems related to logistics optimization and simulation, planning and scheduling optimization, production optimization, economic modeling and analysis. You will be involved in multiple initiatives simultaneously with both business partners and optimization experts resulting in a dynamic work environment.

Job Role Responsibilities

  • Implement mathematical programming techniques along with domain knowledge and subject-specific models to solve science, engineering, logistics and commercial problems.
  • Work with oil & gas business partners and optimization experts to implement and support mathematical optimization models that enhance business decision-making capability and increase operating efficiency.
  • Contribute to multiple stages of decision model implementation, deployment and sustainment.
  • Implement optimization solutions to support decision-making using proprietary and vendor tools (e.g., AIMMS) as well as languages (e.g. Python, C#, C++, etc.)
  • Analyze mathematical optimization and simulation results and develop technical reports.
  • Present to technical as well as non-technical audience.

Job Role Requirements

  • Master's degree from a recognized university in one of the following disciplines: Chemical Engineering, Mechanical Engineering or related disciplines or other quantitative or computational disciplines with minimum GPA 7.0 (out of 10.0) and above.
  • Experience in Operations Research, (Applied) Mathematics, (Applied) Statistics, Industrial Engineering or other quantitative engineering disciplines is an advantage.
  • Minimum 3 years of professional experience in mathematical optimization implementation and support.
  • Experience with implementing solutions involving well-known commercial or large scale optimization toolkits (e.g. CPLEX, Gurobi, Xpress, NoMad, IPOpt) is required.
  • Experience in at least one programming language (e.g. C++, C#, Java, Python, etc.) or optimization modeling language (e.g., AIMMS, GAMS, AMPL, Mosel, OPL) is required.
  • Required technical skills include linear programming and integer programming.
  • Experience in implementing and supporting large-scale discrete, non-linear, stochastic optimization and constraint programming models and developing efficient algorithms is an advantage.
  • Experience in large-scale deployment in cloud is an advantage.
  • Excellent communication skills and experience working in a collaborative environment is required.
  • Previous work experience in the oil and gas industry is not required, but is an advantage.

ExxonMobil is an Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, or disability status.

ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil


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