Computational Scientist

Responsibilities

• Work collaboratively across global, cross-disciplinary teams and with third parties to accelerate the development and deployment of computational science technology.
• Frame computational challenges based on business needs to develop solutions that balance accuracy and runtime.
• Develop solutions that merge physics and data while incorporating uncertainty.
• Create novel approaches to constrain predictive models using field data.

Requirements

• Master's or PhD in Engineering, Applied Mathematics, Geoscience, or Computational Science with a GPA of 7.0/10.0 or above.
• For Master's degree holders, a minimum of 3 years of relevant work experience is required.
• Experience in developing, applying, and analyzing physics-based models and related algorithms.
• Strong background in multiscale or multiphysics mathematical modeling, scientific computing, and numerical analysis.
• Proficiency in programming languages such as C++, C#, or Python.
• Experience with software engineering best practices, including Agile, DevOps, version control, and software testing.

Preferred Qualifications

• Familiarity with surrogate modeling for optimal design and inverse problem-solving.
• Exposure to hybrid modeling approaches combining data-driven and physics-based methods using machine learning tools (e.g., TensorFlow, PyTorch, Scikit-learn).
• Knowledge of deep learning techniques for advanced data analysis.
• Prior experience in the upstream oil and gas industry.

About the Company

ExxonMobil is one of the world’s largest publicly traded energy and chemical companies. Our vision is to lead in energy innovations that advance modern living and a net-zero future, providing sustainable solutions that meet society’s evolving needs.