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Geology Data Science Jobs in Oklahoma (NOW HIRING)

Geological Survey

GEOLOGIST

Moffett, OK · On-site +1

$63K - $100K/yr

Compiles existing geoscience data to generate geologic maps, data releases, metadata, and ... science, planetary geology, comparative planetology, geophysics, meteorology, hydrology ...

Varsity Tutors

Earth Science Tutor

Oklahoma City, OK · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Varsity Tutors

Earth Science Tutor

Tulsa, OK · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

Varsity Tutors

Earth Science Tutor

Stillwater, OK · Remote

$18 - $40/hr

Advanced Subject Mastery: Deep knowledge of geology, meteorology, oceanography, astronomy ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

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All JobsGeology Data Science JobsGeology Data Science Jobs in Oklahoma

Geology Data Science information

See Oklahoma salary details

$34.6K

$113.3K

$181.4K

How much do geology data science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for geology data science in Oklahoma is $113,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $125,600.00 per year, depending on experience, location, and employer.

What is a geology data science?

A Geology Data Science job involves using data analytics, machine learning, and computational methods to analyze geological data for insights related to natural resources, environmental studies, and geophysical research. Professionals in this role work with large datasets from sources like seismic surveys, satellite imagery, and geochemical analyses to model Earth's subsurface, predict mineral deposits, or assess environmental risks. They often use programming languages such as Python or R, alongside GIS and machine learning tools, to automate workflows and improve geological interpretations. This interdisciplinary role is crucial in industries like oil and gas, mining, and environmental science, where data-driven decision-making enhances efficiency and accuracy.

What does a geology data scientist do?

Professionals in Geology Data Science often work on projects involving the collection, cleaning, analysis, and interpretation of large geological datasets to support exploration, environmental assessment, or resource management. Daily tasks can include using machine learning models to identify geological patterns, creating visualizations for reports, and collaborating with geologists, engineers, and project managers to provide actionable insights. You may also be responsible for integrating data from various sources, such as satellite imagery or sensor networks, into your analyses. This role requires balancing independent data work with teamwork and communication across multiple departments.

What are the key skills and qualifications needed to thrive in geology data science?

To thrive in Geology Data Science, you need a solid background in geosciences, data analysis, and statistical modeling, often demonstrated by a degree in geology, earth sciences, or data science. Familiarity with programming languages like Python or R, GIS platforms, and data visualization tools, along with certifications in data analytics or geoinformatics, are highly beneficial. Strong problem-solving skills, attention to detail, and effective communication enhance collaboration and the ability to convey complex findings. These skills are crucial for extracting actionable insights from geological data, supporting decision-making in natural resources, environmental management, or energy sectors.

What are the most commonly searched types of Geology Data Science jobs in Oklahoma?

The most popular types of Geology Data Science jobs in Oklahoma are:

What are popular job titles related to Geology Data Science jobs in Oklahoma?

For Geology Data Science jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Geology Data Science jobs in Oklahoma look for?

The top searched job categories for Geology Data Science jobs in Oklahoma are:

Geology Data Science jobs near you
Infographic showing various Geology Data Science job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $113,329 per year, or $54.5 per hour.

Geoscience Data Analyst (56744)

Riley Permian

Oklahoma City, OK • On-site

$100 - $125/hr

Other

Posted 6 days ago

Key responsibilities

  • Support geoscience and asset teams by maintaining high-quality subsurface datasets, project databases, and technical workflows.

  • Load, validate, organize, and quality-control subsurface datasets while developing repeatable workflows to improve data accessibility and operational efficiency.

  • Partner with geologists, engineers, and data resources to integrate datasets into analytical workflows and develop data products, dashboards, and AI-enabled tools.

Job description

Job Details

Job Location: OKC Office - Oklahoma City, OK 73104

Position Type: Full Time

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.
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