Computational Scientist

Responsibilities

• Develop and analyze physics-based and data-driven computational models to solve complex problems in the oil and gas industry
• Work collaboratively across global, cross-disciplinary teams and with academic or industry third parties to accelerate technology deployment
• Frame computational challenges based on business needs, balancing accuracy with runtime efficiency
• Develop solutions that merge physics and data while incorporating uncertainty and constraining predictive models with field data

Requirements

• PhD in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field
• Experience developing, applying, and analyzing physics-based models and related algorithms
• Strong background in multiscale or multiphysics mathematical modeling, scientific computing, and numerical analysis
• Hands-on experience with deep learning architectures (e.g., autoencoders, transformers, diffusion models, GANs)
• Experience in surrogate modeling, including machine learning, physics-informed ML, or reduced-order modeling
• Proficiency in programming languages such as Python or C++/C#
• Proficiency in ML frameworks like PyTorch, TensorFlow, or scikit-learn
• Experience with software engineering best practices, including testing, agile development, and version control

Preferred Qualifications

• Experience with Databricks or Spark
• Experience working in Linux and High-Performance Computing (HPC) environments
• Prior experience in the upstream oil and gas industry

Benefits

• Pension Plan with automatic enrollment
• Savings Plan with company match up to 7%
• Workplace flexibility programs including "Flex your Day"
• Comprehensive medical, dental, and vision plans
• Employee Health Advisory Program providing professional counseling

About the Company

ExxonMobil is one of the world’s largest publicly traded energy and chemical companies, dedicated to leading in energy innovations that advance modern living and a net-zero future. Our state-of-the-art campus in Spring, Texas, fosters collaboration and innovation to accelerate the discovery of new resources and technologies.