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Mathematical Optimization Specialist

Location: 

Bangalore, KA, IN

Company:  ExxonMobil

Job Role Summary

 

We are looking for optimization specialists to work on challenging problems for our upstream business, including exploration, development, and production.  Select areas of application for this work include real-time surveillance and optimization of production facilities (e.g. anomaly detection); economic modeling and analysis; logistics optimization and simulation; development of planning and scheduling optimization applications. Skills or interest in data analytics would be advantageous.

 

Responsibilities:

  • Use data visualization and mathematical programming along with domain knowledge and subject-specific models to solve science, engineering, logistics and commercial problems
  • Support the application of mathematical optimization and data science to projects and enhance existing models and solution algorithms
  • Work with Upstream business partners to develop and solve optimization models that enhance business decision-making capability and increase operating efficiency.
  • Contribute to all stages of decision model development and deployment
  • Process unstructured data into a form suitable for analysis
  • Create tutorials, documentation, training material, and case studies
  • Build mathematical optimization models using proprietary and vendor tools (e.g. AIMMS) to model business problems in support of decision-making
  • Analyze mathematical optimization and simulation results and develop technical reports and presentations

 

Requirements:

  • Master’s degree from a recognized university in Operations Research, (Applied) Mathematics, (Applied) Statistics, Industrial Engineering or other disciplines with significant experience in mathematical optimization; minimum GPA 7.0 and above
  • Professional / graduate level work experience in mathematical optimization
  • Candidates with a Bachelor’s degree in an Engineering field (Chemical/Mechanical/Civil/Petroleum) or Economics will be preferred
  • Experience with at least one mathematical programming language (e.g. AIMMS, GAMS, AMPL, Mosel, OPL) is required
  • Experience in Python, MATLAB, or R is preferred
  • Required technical skills include linear programming and integer programming
  • Preferred technical skills include nonlinear programming, economics, and stochastic modeling
  • Excellent communication skills and experience working in a collaborative environment is required
  • Knowledge of numerical methods for linear algebra is an advantage
  • Experience in technical software development is an advantage
  • Experience working in Linux and in a High Performance Computing environment is an advantage
  • Previous work experience in the upstream oil and gas industry is an advantage

 

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