Geoscience Data Analyst

Riley Exploration Permian, Inc.; Oklahoma City (OK); On-site; USD 100,000 - 170,000; Full time

Job summary

Riley Exploration Permian, Inc. seeks an experienced geoscience data scientist to support asset teams by managing subsurface datasets, developing scalable workflows, and applying AI/ML techniques to improve data quality and decision-making.

The role involves collaborating with geologists, engineers, and analytics resources to integrate diverse datasets, build dashboards, and automate recurring tasks, while maintaining project environments and ensuring data integrity in a fast-moving asset-team

Qualifications

• Bachelor’s degree in geology, geoscience, engineering, data science, computer science, information systems or related field preferred; equivalent petroleum industry experience considered.
• 5+ years of relevant experience in geoscience technical support, subsurface data management, or related oil and gas roles.
• Strong working knowledge of subsurface datasets and interpretation outputs.
• Experience with subsurface software like GeoGraphix, Petra, Petrel, Kingdom, StarSteer, Techlog, or similar.

Responsibilities

• Maintain 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 and develop repeatable workflows.
• Maintain and improve geoscience project environments and tools with emphasis on data integrity and workflow efficiency.
• Integrate subsurface, operational, production, and commercial datasets into analytical workflows.
• Apply data science, automation, and AI/ML techniques to improve workflows and support decision-making.
• Develop data products, dashboards, and AI-enabled knowledge workflows for asset teams.
• Collaborate across geoscience, engineering, land, business development, and management teams.

Skills

Geoscience data analytics

Data science

AI/ML workflows

Python

SQL

Education

Bachelor’s degree in geology, geoscience, engineering, data science, computer science, information systems

Tools

GeoGraphix

Petra

Petrel

Kingdom

StarSteer

Techlog

Job description

Position Summary

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.

Responsibilities

• 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 GeoGraphix, StarSteer, 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.

Skills And Competencies

• 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.

Qualifications

• 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, and interpretation outputs.
• Experience supporting geoscience teams using subsurface applications such as GeoGraphix, Petra, Petrel, Kingdom, StarSteer, Techlog, or similar petroleum technical software.
• Demonstrated ability to load, validate, reconcile, and maintain technical data across multiple systems while developing practical workflows, QA/QC standards, and technical outputs that support geoscience and engineering objectives.
• Experience applying AI/ML, GenAI, automation, analytics, Python, SQL, and related technologies to support data-driven solutions.
• Strong analytical and problem-solving skills with the ability to troubleshoot data issues, identify root causes, and recommend practical workflow improvements.
• Strong knowledge of subsurface datasets, including well, log, production, completion, seismic, and interpretation data.
• Experience with petroleum software such as GeoGraphix, Petra, Petrel, Kingdom, StarSteer, Techlog, or similar platforms.