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From Home Geology Data Science Jobs (NOW HIRING)

Job Summary : Diamondback Energy is seeking a Data Science Geologist to bridge traditional earth sciences with advanced data science and analytics. This role focuses on automating geological ...

Resource Geologist

Cedar City, UT · On-site

$120K - $140K/yr

This is an excellent opportunity for a hands-on geologist who wants to be closely involved in the full resource cycle -- from drilling and data validation to modeling, reconciliation, technical ...

Valtech Solutions - Plano, TX needs a Data Science Consultant to refactor, optimize and automate ... Telecommuting and working from home permitted. Salary $153,160/yr. Send resumes to nam.recruitment ...

... 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 ...

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Manager is responsible for leading a team of data scientists (individual ...

Data Science Engineer

Livermore, CA

$134K - $161K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning ... You may have the flexibility to work from home one or more days per week. These positions will be ...

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From Home Geology Data Science information

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$37.5K

$122.7K

$196.5K

How much do from home geology data science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for from home 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 the difference between From Home Geology Data Science vs From Home Environmental Data Analyst?

AspectFrom Home Geology Data ScienceFrom Home Environmental Data Analyst
Required CredentialsDegree in Geology, Data Science, or related fields; certifications in data analysis or GISDegree in Environmental Science, Data Analysis, or related fields; certifications in environmental data tools
Work EnvironmentRemote, often with access to geological databases and GIS softwareRemote, using environmental monitoring data and statistical tools
Industry UsageMining, oil & gas, geological surveysEnvironmental consulting, government agencies, NGOs
Common Search/ComparisonYesNo

From Home Geology Data Science focuses on analyzing geological data for resource exploration and earth sciences, while From Home Environmental Data Analyst concentrates on environmental monitoring and impact assessments. Both roles require data analysis skills and often work remotely, but they serve different industry needs and datasets.

More about From Home Geology Data Science jobs
What cities are hiring for From Home Geology Data Science jobs? Cities with the most From Home 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 From Home Geology Data Science jobs? States with the most job openings for From Home Geology Data Science jobs include:
Infographic showing various From Home Geology Data Science job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% 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 17 days ago


Job description

Job Summary:
Diamondback Energy is seeking a Data Science Geologist to bridge traditional earth sciences with advanced data science and analytics. This role focuses on automating geological workflows, integrating complex subsurface datasets, and developing predictive and geospatial models to improve reservoir characterization and resource discovery.
Responsibilities:
• 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.
Qualifications:
Required:
• 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:
• Background in Petroleum Engineering
Company:
Diamondback Energy to Acquire Mineral Interests in Midland County Founded in 2007, the company is headquartered in Midland, USA, with a team of 1001-5000 employees. The company is currently Late Stage.