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Computational Scientist


Bangalore, KA, IN

Company:  ExxonMobil

Job Role Summary


We are looking to hire candidates to work on challenging engineering, geological and commercial problems that focus on exploration, development, production, marketing and transportation of hydrocarbons. A successful candidate would understand a problem in oil and gas space (both commercially/economically and technically), be able to formulate the problem in a solvable way, using application of engineering, numerical, data science and programming skills to tackle a range of problems in the oil and gas industry


Job Responsibilities:



  • Work with computational scientists, data scientists, engineers, software developers, and geoscientists across the globe to develop and deliver computational tools, models, algorithms, or software to support our business
  • Leverage existing packages where available, but at times extend or build new capability when necessary
  • Create and maintain infrastructure to automate simulation preparation and execution including processing and analyses of simulation results
  • Design, build, and execute parametric and uncertainty analysis studies using simulation models
  • Tune simulation models to field data and use the tuned model in semi- and fully –automated settings to provide field optimization recommendations


Job Requirements:


  • Master's degree from a recognized university in one of the following disciplines: Chemical Engineering, Mechanical Engineering or related disciplines with minimum GPA 7.0 (out of 10.0) and above
  • Professional work experience in developing, applying, and analyzing physics-based models/data driven computational models and simulations. 
  • Minimum 2 years applied computational work experience for candidates with a Master's degree.
  • Ability to build computational models
    • Strong knowledge of general numerical analysis and methods for solving differential equations
    • Background in computational work
    • Experience with validation or application of physics-based tools to model complex systems
    • Familiarity with developing optimization algorithms and/or optimization tools in Matlab/Python for applications such as optimization of production facilities 
    • Familiarity with Statistical analysis, regression, classification is a plus
    • Familiarity with computational geometry a plus
  • Strong engineering fundamentals
    • Exposure to Oil and gas space
    • Ability to formulate complex problems in a solvable way
  • Software Skills
    • Competent to expert level programming experience
    • Background in C/C++/Python/Matlab
    • Prior knowledge of commercial software development and/or experience in commercial software teams
      • Software testing
      • Software development practices (Agile, etc.)
  • Strong communication skills



Job Segment: Scientific, Engineer, Testing, Mechanical Engineer, Engineering, Research, Technology

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