Build, update, and maintain reservoir simulation and analytical models to support forecasting, development planning, and optimization
Apply data science and machine learning techniques to reservoir characterization, production forecasting, and anomaly detection
Support history matching, sensitivity analyses, and scenario evaluations
Develop and maintain Python-based workflows, scripts, and tools to automate subsurface analyses and improve data quality
Integrate geological, petrophysical, stimulation, and operational data into reservoir studies in collaboration with cross-functional teams
Clearly communicate technical results through visualizations, presentations, and written reports
Stay current with emerging tools and best practices in reservoir engineering, analytics, and AI

Requirements

B.S. in Engineering (Petroleum, Mechanical, Chemical, or related discipline)
2+ years of experience in reservoir engineering, data science, or a related technical field; a PhD may be considered in lieu of industry experience
Strong fundamentals in reservoir engineering, including fluid flow in porous media, pressure transient analysis, material balance, and production/injection performance analysis
Experience with reservoir modeling and simulation (numerical simulators, decline analysis, forecasting tools)
Proficiency in analyzing subsurface datasets, including pressure, rate, temperature, and geologic data
Working knowledge of Python and scientific libraries (NumPy, Pandas, SciPy) or similar analytical environments
Experience applying statistical analysis, data-driven modeling, or machine learning techniques to subsurface or production data
Ability to manage and integrate large, multi-disciplinary datasets
Strong problem-solving skills with the ability to translate technical findings into actionable insights
Excellent written and verbal communication skills

Benefits

medical
dental
vision
life
short-term and long-term disability
flexible paid time off
paid parental leave
incentive stock options program
bonus incentive program
401(k) plan with an employer match

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

reservoir simulationanalytical modelsdata sciencemachine learningPythonnumerical simulatorsstatistical analysisdata-driven modelingsubsurface datasetsproduction forecasting

Soft Skills

problem-solvingcommunicationcollaborationdata integrationtechnical visualizationpresentation skillsreport writingactionable insightssensitivity analysisscenario evaluation

Certifications

B.S. in EngineeringPhD in related discipline