Work with computational scientists, data scientists, engineers, software developers, and geoscientists across the globe to develop, deliver and apply computational tools, models, or software to support our business
Enhance proprietary computational models and tools to address evolving business needs
Use machine learning, pattern recognition, deep learning, statistical analysis and data visualizations - along with domain knowledge and subject-specific models (E.g. physics-based) - to solve science, engineering, commercial problems and provide business insights
Design, build, and execute studies using proprietary or commercial tools to provide insights including calibrating models to field data and providing field optimization recommendations
What you should have
Master\'s degree in one of the following disciplines: Chemical Engineering, Mechanical Engineering or related disciplines
Professional work experience in developing, applying, and analyzing physics-based models and/or data driven computational models and simulations.
At least 3 years of work experience in a data-driven modeling.
Working knowledge in one or more of the following:
Programming skills in a scripting language like Python, R or MATLAB as well as Object oriented programming.
Machine learning/statistical learning methodologies such as regression, classification, unsupervised learning, and time series analysis.
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