Computational Scientist
Core
Developing and analyzing physics-based and data-driven computational models to solve problems in the oil and gas industry.
Role type
Senior IC computational scientist (physics-informed ML)
Builds
Physics-based and data-driven computational models for upstream oil and gas
Domain
Upstream oil and gas / Scientific computing
Deliverable
production ML models
Required skills
Physics-based modeling, multiscale/multiphysics mathematical modeling, scientific computing, numerical analysis, deep learning (autoencoder, transformer, diffusion model, GAN), surrogate modeling (physics-informed ML, reduced-order modeling), convex and PDE constrained optimization, Python, C++/C+, PyTorch, TensorFlow, scikit-learn, software engineering best practices
Preferred skills
Databricks/Spark, Linux, High-Performance Computing, upstream oil and gas industry experience
Technologies
Python, C++, C#, PyTorch, TensorFlow, scikit-learn, Databricks, Spark
Responsibilities
Collaborate with global cross-disciplinary teams and third parties to accelerate computational science technology development; frame computational challenges from business needs; develop solutions balancing accuracy and runtime; merge physics and data incorporating uncertainty; constrain predictive models with field data
Seniority
Senior, hands-on IC