2026USH Geology Specialist
ExxonMobil - Spring, TX
Hiring: 2026USH Geology Specialist Company: ExxonMobil Location: Spring, TX Job Posted Time: 2026-09-03 14:52:20 Employment Type: Part-time Target Skills & Keywords : AI, Machine Learning, Python, Quality Assurance, REST, Spring About the job Experience: •3 years of industry experience in reservoir modeling, geomodeling technology development, quantitative geoscience, or related upstream oil and gas applications. Required Skills: •Willingness and ability to develop, evaluate, and deploy innovative geomodeling technologies and workflows that improve business decision-making and subsurface reservoir characterization •Lead the development and implementation of advanced geomodeling methodologies, workflows, and digital solutions for reservoir characterization and field development applications. •Research, evaluate, and apply emerging technologies including machine learning, artificial intelligence, automation, and uncertainty quantification to subsurface modeling challenges. •Design, develop, and test new algorithms and workflow enhancements for geocellular model construction, property modeling, and reservoir characterization. •Partner cross-functionally with geoscientists, reservoir engineers, data scientists, and software developers to identify business needs and deliver practical technology solutions. •Develop tools and workflows to improve model quality, consistency, efficiency, and reproducibility across global assets. •Conduct benchmarking, validation, and quality assurance of geomodeling technologies and workflows using diverse datasets and reservoir settings. •Support implementation and adoption of new technologies through training, documentation, user engagement, and technical consultation. Qualifications: •What We Look For Master's degree in Geology, Geophysics, Earth Science, Petroleum Engineering, or a related technical discipline is required. A Ph.D. with a specialization in geomodeling techniques, geostatistics, computational geoscience, or related disciplines is strongly preferred. Compensation: •Flexible work environment (work from home / hybrid options) •Comprehensive medical, dental, and vision plans Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!