Hiring: Completions & Well Management Research Engineer - Advanced Company: ExxonMobil Location: Spring, TX Job Posted Time: 2026-09-10 14:52:20 Employment Type: Part-time Target Skills & Keywords : Azure, Databricks, Machine Learning, Python, REST About the job Required Skills: •This position provides opportunities to lead both fundamental and applied research, influence development strategies, and support implementation of new technologies across ExxonMobil's unconventional portfolio. •Lead research and technology development focused on hydraulic fracture modeling, stimulation effectiveness, and completion optimization in unconventional reservoirs. •Design, execute, and interpret field pilots to evaluate innovative completion designs, well spacing, landing zones, stacking strategies, production optimization approaches, and emerging technologies. •Develop and apply physics-based, data-driven, and coupled modeling workflows to improve understanding of fracture propagation, reservoir interaction, and well performance. •Integrate geological, geomechanical, petrophysical, completion, production, and reservoir datasets to identify key drivers of unconventional asset performance. •Develop predictive models and analytical tools to support field development planning, production forecasting, and resource recovery optimization. •Conduct research on emerging unconventional development concepts, fracture diagnostics, stimulation technologies, machine learning applications, and digital workflows. •Analyze pilot and field-performance results and translate findings into scalable recommendations for business implementation. Qualifications: •Ph.D. preferred exceptional M.S. candidates will also be considered. •Degree in Petroleum Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Applied Mathematics, Applied Physics, Geoscience, or a related technical discipline. •Hydraulic fracturing and stimulation design •Fluid flow in porous media and wellbores •Reservoir simulation and production forecasting •Experimental design and laboratory research •Unconventional reservoir development •Operational familiarity with scientific programming and data analysis tools, preferably Python. •Strong written and verbal communication skills with demonstrated ability to communicate technical findings to diverse audiences. 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!