Data Science Geologist

Diamondback Energy • Midland, TX

16h

About The Position

This Data Science Geologist will bridge traditional earth sciences with advanced data science and analytics to drive more informed subsurface decisions. This role focuses on automating geological workflows, integrating complex subsurface datasets, and developing predictive and geospatial models to improve reservoir characterization, resource discovery, and development outcomes. The position plays a critical role in translating advanced analytical insights into actionable guidance for both technical teams and business leadership.

Requirements

• Bachelor’s degree in Geoscience or a related field
• Minimum of 5 years of data geoscience experience
• Proficiency in Python (Pandas, Scikit-learn, PyTorch ) or R for statistical analysis
• Expertise in SQL and industry-standard geological databases
• Experience with GIS tools such as ArcGIS or QGIS, and/or 3D subsurface modeling software (e.g., Petrel)
• Strong understanding of machine learning techniques (clustering, regression, anomaly detection) applied to subsurface data
• Ability to visualize and communicate spatial data using tools such as Power BI, Tableau, or Python libraries (Matplotlib, Seaborn)

Nice To Haves

• Background in Petroleum Engineering

Responsibilities

• Develop and apply machine learning and geospatial models to identify geological features and predict reservoir quality.
• Clean, integrate, and analyze diverse datasets, including seismic, well log, geochemical, rock-based, and petrophysical data.
• Leverage GIS and subsurface mapping tools to perform complex spatial analysis and create interactive geological models and maps.
• Design, build, and maintain data pipelines to automate routine geological analysis and reporting.
• Translate complex technical analyses into clear, actionable insights for technical teams and business stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees