Geoscience Data Analyst (56744

Job Details

Job Location:

OKC Office - Oklahoma City, OK 73104

Position Type:
Full Time

Performs advanced geoscience technical and data science work supporting asset teams by combining subsurface data expertise, workflow development, and advanced analytics capabilities. This role bridges traditional geotechnical functions with modern data science to improve data quality, workflow efficiency, and technical decision-making. This position is expected to work independently, resolve complex technical challenges, and contribute to the development of scalable workflows and best practices.

• Support Riley Permian’s geoscience and asset teams by maintaining high
  -quality subsurface datasets, project databases, and technical workflows used in exploration, development, and A&D evaluation.
• Load, validate, organize, and quality-control subsurface datasets while developing repeatable workflows that improve data accessibility, consistency, and operational efficiency.
• Maintain and improve geoscience project environments, including Geo Graphix, Star Steer, QGIS, and other subsurface interpretation or planning tools, with an emphasis on data integrity, usability, and workflow efficiency.
• Partner with geologists, engineers, and data/analytics resources to integrate subsurface, operational, production, and commercial datasets into practical analytical workflows.
• Apply data science, automation, and AI/ML techniques to improve geoscience workflows, enhance data quality, identify subsurface trends, and support technical decision-making.
• Develop data products, dashboards, analytical tools, and AI
  -enabled knowledge workflows that improve technical analysis, information retrieval, and communication across asset teams.
• Identify opportunities to improve data quality, automate recurring tasks, establish workflow standards, documentation, and best practices that support scalable geoscience operations.
• Assist with preparation of technical data, exhibits, cross sections, logs, data summaries, and presentation-quality visuals for internal asset reviews, management discussions, partner meetings, and transaction support.
• Work closely with geologists, engineers, land, business development, and management while remaining primarily embedded with and focused on geoscience team execution.
• Collaborate across teams and disciplines with a strong service mindset, clear communication, and a practical focus on improving the speed, quality, and reliability of geoscience work.

• Understanding of unconventional resource plays, horizontal development, landing
  -zone evaluation, well performance trends, and asset-development workflows.
• Ability to bridge traditional geoscience technician responsibilities with modern data science, automation, AI/ML workflows, and emerging technologies such as GenAI, prompt engineering, RAG, and AI-enabled technical assistants
• Experience using modern analytics tools to develop dashboards, automated reports, visualizations, and analytical solutions that support upstream decision-making.
• Familiarity with industry data sources such as IHS, Enverus, regulatory databases, vendor data rooms, and third-party technical datasets.
• Strong analytical, problem-solving, organizational, and communication skills, with the ability to collaborate effectively across technical and business teams.
• Self-motivated and highly organized, with the ability to manage multiple priorities, adapt to new technologies and workflows, and deliver high-quality work in a fast-moving asset-team environment.

• Bachelor’s degree in geology, geoscience, engineering, data science, computer science, information systems, or a related technical field preferred; equivalent petroleum industry experience will be considered.
• 5+ years of relevant experience in geoscience technical support, subsurface data management, geotechnical workflows, petroleum data analytics, or related oil and gas technical roles preferred.
• Strong working knowledge of subsurface datasets, including well headers, directional surveys, formation tops, raster/vector logs, digital log curves, completion data, production data, seismic-related data,…