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Geology Data Science Jobs (NOW HIRING)

Diamondback Energy

Data Science Geologist

Midland, TX · On-site

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 ...

Turner Staffing Group

Geologist

Elko, NV

... in Geology, Earth Sciences, or related field. * Previous experience in underground geology, ore control, or production geology preferred. * Strong mapping, sampling, and geological data ...

Jerritt Canyon

Geology Superintendent

Elko, NV · On-site

Ensure robust QA/QC for all geological data and interpretations, and drive implementation of ... Master's degree in Geology, Geological Engineering, or a related field; or Bachelor of Science ...

Jerritt Canyon

Geology Superintendent

Elko, NV · On-site

Ensure robust QA/QC for all geological data and interpretations, and drive implementation of ... Master's degree in Geology, Geological Engineering, or a related field; or Bachelor of Science ...

Essel

Geologist

Santa Ana, CA

Analyzing geological data and preparing technical reports * Evaluating potential environmental ... Bachelor's degree in Geology, Earth Science, Environmental Science, or related field * M.S./P.G. or ...

Turner Staffing Group

Geologist

Fairbanks, AK

Bachelor's or higher degree in Geology, Earth Sciences, or a related field. * Proven experience in drill core logging and sampling preferred. * Proficiency in digital data entry and geological ...

Essel

Geologist

Santa Ana, CA · On-site

Analyzing geological data and preparing technical reports * Evaluating potential environmental ... Bachelor's degree in Geology, Earth Science, Environmental Science, or related field * M.S./P.G. or ...

Essel

Geologist

Santa Ana, CA · On-site

Analyzing geological data and preparing technical reports * Evaluating potential environmental ... Bachelor's degree in Geology, Earth Science, Environmental Science, or related field * M.S./P.G. or ...

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How much do geology data science jobs pay per year?

As of May 30, 2026, the average yearly pay for geology data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Geology Data Science job?

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 are the key skills and qualifications needed to thrive in the Geology Data Science position, and why are they important?

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 some typical projects or daily responsibilities for someone working in Geology Data Science?

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.
More about Geology Data Science jobs
What cities are hiring for Geology Data Science jobs? Cities with the most Geology Data Science job openings:
What are the most commonly searched types of Geology Data Science jobs? The most popular types of Geology Data Science jobs are:
What states have the most Geology Data Science jobs? States with the most job openings for Geology Data Science jobs include:
What job categories do people searching Geology Data Science jobs look for? The top searched job categories for Geology Data Science jobs are:
Geology Data Science jobs near you
Infographic showing various Geology Data Science job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Science Geologist

Data Science Geologist

Diamondback Energy

Midland, TX • On-site

Full-time

Posted 2 days ago

Job description

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.
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.
Job Responsibilities:
Include but are not limited to
  • Predictive Modeling: Develop and apply machine learning and geospatial models to identify geological features and predict reservoir quality.

  • Data Integration: Clean, integrate, and analyze diverse datasets, including seismic, well log, geochemical, rock-based, and petrophysical data.

  • Spatial Analysis: Leverage GIS and subsurface mapping tools to perform complex spatial analysis and create interactive geological models and maps.

  • Automated Workflows: Design, build, and maintain data pipelines to automate routine geological analysis and reporting.

  • Stakeholder Communication: Translate complex technical analyses into clear, actionable insights for technical teams and business stakeholders.

Required Qualifications:
  • 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)

Preferred Qualifications:
  • Background in Petroleum Engineering

Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify.

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