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Volunteer Geology Data Science Jobs (NOW HIRING)

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 ...

... data quality. Skills and Qualifications Required Qualifications * Bachelor's degree in Geology, Geoscience, Earth Science, or a related discipline. * Experience as a Wellsite Geologist supporting ...

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

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 ...

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 ...

Bachelor's degree in Geology, Earth Sciences, Environmental Geology, or a related field. * Master ... Experience with geological mapping, field investigations, and data interpretation. * Knowledge of ...

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 ...

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 ...

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Volunteer Geology Data Science information

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$36K

$77K

$124.5K

How much do volunteer geology data science jobs pay per year?

As of Jun 17, 2026, the average yearly pay for volunteer geology data science in the United States is $77,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $93,000.00 per year, depending on experience, location, and employer.

What is the difference between Volunteer Geology Data Science vs Volunteer Geology Technician?

AspectVolunteer Geology Data ScienceVolunteer Geology Technician
Required CredentialsBasic knowledge of geology and data analysis; often no formal certification neededHigh school diploma or equivalent; technical training in geology or related field
Work EnvironmentData analysis settings, field data collection, research projectsField sites, laboratories, field data collection
Employer & Industry UsageResearch institutions, environmental agencies, NGOsMining companies, environmental consulting firms, government agencies

Volunteer Geology Data Science focuses on analyzing geological data using data science techniques, while Volunteer Geology Technicians primarily assist with fieldwork and sample collection. Both roles support geological projects but differ in skills and daily tasks.

What cities are hiring for Volunteer Geology Data Science jobs? Cities with the most Volunteer 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 Volunteer Geology Data Science jobs? States with the most job openings for Volunteer Geology Data Science jobs include:
Data Science Geologist

Data Science Geologist

Diamondback Energy

Midland, TX • On-site

Full-time

Posted 20 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.