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Geostatistics Jobs (NOW HIRING)

Senior Geologist

Redwood City, CA · On-site

$185 - $250/hr

Exposure to computational geology, geostatistics, remote sensing, or AI-enabled exploration workflows is considered beneficial Compensation $185,000- $250,000 + Equity In accordance with California ...

... Geostatistics. Complete research leading to publication in peer reviewed journals and engage in other scholarly activity. Participate in University service, including committee work at the School and ...

Senior Resource Geologist

Yuma, AZ · On-site

$110K - $150K/yr

Strong understanding of geostatistics and mineral resource estimation techniques. * Direct experience with porphyry copper deposits, including an understanding of deposit-scale geological controls ...

Senior Geologist

Redwood City, CA · On-site

$185K - $250K/yr

Exposure to computational geology, geostatistics, remote sensing, or AI-enabled exploration workflows is considered beneficial Candidates from both traditional exploration and emerging computational ...

Agronomic Modeler (Corn)

Davis, CA · On-site

$125K - $175K/yr

You will have experience and deep knowledge of modeling in an ecological or biophysical context, including statistical modeling, machine learning, and geostatistics. In particular, you will:

D. with a specialization in geomodeling techniques, geostatistics, computational geoscience, or related disciplines is strongly preferred. * Less than 3 years of industry experience in reservoir ...

2026USH Geology Specialist

Spring, TX · On-site

$90 - $130/hr

D. with a specialization in geomodeling techniques, geostatistics, computational geoscience, or related disciplines is strongly preferred. * Less than 3 years of industry experience in reservoir ...

Agronomic Modeler (Corn)

Davis, CA · On-site

$125K - $175K/yr

You will have experience and deep knowledge of modeling in an ecological or biophysical context, including statistical modeling, machine learning, and geostatistics. In particular, you will:

D. with a specialization in geomodeling techniques, geostatistics, computational geoscience, or related disciplines is strongly preferred. * Less than 3 years of industry experience in reservoir ...

D. with a specialization in geomodeling techniques, geostatistics, computational geoscience, or related disciplines is strongly preferred. * Less than 3 years of industry experience in reservoir ...

MO · On-site

$92K - $117K/yr

... geostatistics, block model validations, classifying, and issuing resource estimation for project areas. * Model geology in assigned project areas using Leapfrog, Vulcan, etc. Generate exploration ...

Agronomic Modeler (Corn)

Davis, CA · On-site

$125K - $175K/yr

You will have experience and deep knowledge of modeling in an ecological or biophysical context, including statistical modeling, machine learning, and geostatistics. In particular, you will:

Senior Geologist

Bagdad, AZ · On-site

$105K - $145K/yr

Skill in the practical application of resource estimation and geostatistics * Skill in mineral resource modeling and 3-dimensional geologic problem solving * Advanced user in the operation of at ...

Showing results 21-40

Geostatistics information

See salary details

$5

$46

$90

How much do geostatistics jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for geostatistics in the United States is $46.63, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $57.69 per hour, depending on experience, location, and employer.

What is geostatistics?

A Geostatistics job involves analyzing spatial data using statistical methods to model and interpret natural resource distributions, environmental patterns, or geological formations. Professionals in this field apply mathematical techniques to predict variables like mineral deposits, groundwater levels, or pollution spread. They often work in industries such as mining, oil and gas, environmental science, and agriculture. Their work helps optimize resource extraction, manage environmental risks, and improve decision-making in geospatial analysis.

What does a geostatistician do?

A professional in Geostatistics typically spends their workday collecting, analyzing, and interpreting spatial data to identify patterns and trends relevant to natural resource exploration, environmental analysis, or land management. They apply statistical models to spatial datasets, prepare maps and visualizations, and collaborate with multidisciplinary teams such as geologists, environmental engineers, or data scientists. Regular tasks also include developing reports for stakeholders, validating data quality, and presenting findings in meetings or technical reviews. This role requires a balance of independent data analysis and teamwork to provide actionable insights that guide project decisions.

What are the key skills and qualifications needed for geostatistics?

To thrive in Geostatistics, you need strong analytical abilities, proficiency in spatial data analysis, and a solid educational background in geosciences, statistics, mathematics, or a related field. Familiarity with geostatistical software such as ArcGIS, Python, R, and industry-standard modeling tools is essential, and certifications in GIS or data analysis are advantageous. Attention to detail, problem-solving skills, and effective communication abilities are key soft skills that help one excel in interdisciplinary teams. These competencies are crucial for accurately analyzing spatial data, informing decision-making processes, and providing actionable insights for projects in fields like mining, environmental science, and natural resources.

More about Geostatistics jobs

What are the most commonly searched types of Geostatistics jobs?

The most popular types of Geostatistics jobs are:

What states have the most Geostatistics jobs?

States with the most job openings for Geostatistics jobs include:

Infographic showing various Geostatistics job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 86% Physical, 7% Hybrid, and 7% Remote job distribution, with an average salary of $96,989 per year, or $46.6 per hour.

Senior Geologist

Terra AI

Redwood City, CA • On-site

$185 - $250/hr

Other

Re-posted 17 days ago


Job description

Terra AI is building a new category at the intersection of artificial intelligence, geoscience, and critical resource development. As global demand for copper, lithium, nickel, rare earth elements, geothermal energy, and other strategic resources accelerates, the mining and subsurface industries face a growing challenge: traditional exploration methods remain slow, expensive, and highly uncertain. Terra AI was founded to help solve this problem by redefining how critical resources are discovered, evaluated, and developed. By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with greater confidence and capital efficiency. The company’s platform integrates geological, geophysical, and drilling data into intelligent systems designed to improve targeting accuracy, accelerate discovery timelines, and reduce exploration risk. Backed by leading investors including Khosla Ventures and working alongside strategic industry partners including Rio Tinto, Ero Copper, and Ramaco Resources, Terra AI is emerging as one of the more closely watched AI-native companies operating within the mining and critical minerals sector. Terra AI’s mission is to define the new global standard for data-driven critical resource development — breaking the cost and time curve required to support electrification, energy security, and the global energy transition. The company operates with a strong partnership mentality, combining technical rigor, candid communication, continual learning, and environmental stewardship to help modern exploration teams solve some of the world’s most important resource challenges.

Role

We are seeking a Senior Geologist to help lead geological interpretation and mineral systems modeling efforts that support Terra AI’s exploration workflows. In this role, you will work closely with geologists, geophysicists, and machine learning engineers to integrate complex geological datasets into modern exploration models supporting critical minerals discovery.

  • Interpret and integrate geological, geochemical, and geophysical datasets across multiple scales
  • Build robust mineral systems and exploration models supporting probabilistic targeting workflows
  • Support geological feature engineering and modern computational exploration workflows
  • QA/QC historical and modern exploration datasets to improve modeling confidence
  • Collaborate closely with internal and external technical teams across geology, geophysics, and engineering
  • Produce technical reports, visualizations, and exploration recommendations for global projects
  • Provide geological expertise to support the automation and improvement of exploration workflows
Qualifications
  • Experience in economic geology, mineral exploration, or mine development
  • Strong experience in critical minerals and base metals geology
  • Proficiency with GIS and 3D geological modeling software
  • Experience integrating geological and exploration datasets into cohesive exploration models
  • Strong understanding of geochemistry and mineralization systems
  • Exposure to computational geology, geostatistics, remote sensing, or AI-enabled exploration workflows is considered beneficial
Compensation

$185,000- $250,000 + Equity

In accordance with California law, Terra AI provides a good faith base salary range for roles that may be performed in California. Actual compensation will be determined based on experience, qualifications, skills, and market considerations. In addition to base salary, total compensation may include performance bonus opportunities, equity participation, and a comprehensive benefits package.

Terra AI is an equal opportunity employer and is committed to building a diverse and inclusive team. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other protected characteristic under applicable law.

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