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Geostatistics Jobs (NOW HIRING)

The Pennsylvania State University

Sanjay Srinivasan, who directs the Penn State Initiative for Geostatistics and Geo-Modeling Applications (PSIGGMA). This initiative currently supports a group of 5 researchers working on topics such ...

Mariana Minerals

Mining Engineering Intern

Houston, TX · On-site

$16 - $20.75/hr

S. in Mining Engineering, with coursework in mine design, geostatistics, or resource estimation * Familiarity with mine planning software (e.g., Leapfrog, Vulcan, Datamine, or similar) is preferred

Wood Plc

Geologist

Sandy, UT · On-site +1

Undergraduate or Graduate Degree in Geology, Geostatistics, Geological or Mining Engineering or mining-related field. * Minimum of 5 years of experience in mining geology * Qualified person ...

Terra AI

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 ...

Terra AI

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 ...

Flatwater Group

Senior Mining Engineer

Denver, CO · On-site +1

$85K - $105K/yr

Demonstrated success in resource and reserve estimation (JORC/NI 43-101/SK-1300 familiar) across multiple commodities (metals, coal, industrial minerals, aggregates), including geostatistics, block ...

Flatwater Group

Senior Mining Engineer

Denver, CO

$85K - $105K/yr

Demonstrated success in resource and reserve estimation (JORC/NI 43-101/SK-1300 familiar) across multiple commodities (metals, coal, industrial minerals, aggregates), including geostatistics, block ...

Relevante, Inc.

Senior Project Geologist

Concord, NH · On-site

... geostatistics, natural attenuation evaluations, geochemistry, geophysical data evaluation, NHDES regulations, and the CERCLA process. * Experience with ArcGIS and RockWorks is preferred. Other Key ...

Northern Star Pogo LLC

Senior Geologist

Delta Junction, AK · On-site

$127K - $134.50K/yr

High level of competency in geological mapping, sampling techniques and QAQC, data interpretation, modelling, geostatistics and reconciliation. * Experience in the use of geological software such as ...

Flatwater Group

Senior Mining Engineer

Denver, CO

$85K - $105K/yr

Demonstrated success in resource and reserve estimation (JORC/NI 43-101/SK-1300 familiar) across multiple commodities (metals, coal, industrial minerals, aggregates), including geostatistics, block ...

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Geostatistics information

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$5

$46

$90

How much do geostatistics jobs pay per hour?

As of May 30, 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 a Geostatistics job?

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

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.

What are the typical daily responsibilities of a professional working in Geostatistics?

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.
More about Geostatistics jobs
What are the most commonly searched types of Geostatistics jobs? The most popular types of Geostatistics jobs are:
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Geostatistics jobs near you
Infographic showing various Geostatistics job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 92% Full Time, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $96,989 per year, or $46.6 per hour.

Lead Data Scientist (Scientific Software Engineer / Computational Scientist) - Only W2

Saransh Inc

Mountain View, CA • On-site

Contractor

Posted 10 days ago

Job description

Role: Lead Data Scientist (Scientific Software Engineer / Computational Scientist)
Location: Mountain View, CA (Hybrid – 3 days a week onsite)
Job Type: W2 Contract
 
 
Note: Only Visa Independent candidates are required (No C2C or Third-party candidates)
 
 
Experience Level: Lead
 
Main Skills:
  • Python (NumPy/SciPy/CuPy)
  • C++
  • PyTorch
  • Geostatistics
  • 3D Mathematics
  • CUDA/OpenMP
  • AI-assisted coding
 
Short Overview:
  • Scientific Software Engineer or Computational Scientist with a niche background in scientific simulation, procedural generation, or computational physics.
  • This is an implementation-heavy role requiring a developer who can translate complex mathematical logic and generative ML models into performant code to solve high-dimensional geometric problems.
 
Simulation & Generative Modeling
 Seeking a deep expertise in scientific computing, procedural generation, or computational physics to build the core algorithms for our 3D subsurface modeling engine.
 
The Role:
This is an implementation-heavy position bridging procedural physics and generative ML.
 
What We're Looking For:
Core Competencies:
  • Procedural Generation: Terrain synthesis, voxel engines, noise-driven systems
  • Scientific Computing: CFD, FEA, multi-physics solvers
  • Computational Geometry: 3D mesh processing, volumetric data structures, spatial partitioning
Key Responsibilities:
  1. Algorithmic Implementation — Design memory-efficient algorithms for massive 3D voxel arrays and sparse data structures; implement deterministic and stochastic geometric rules
    • Example: Build C++/Python kernels using 3D Perlin/Simplex noise and vector fields to simulate braided river systems
    • Example: Implement Boolean CSG algorithms for volumetric injections of igneous bodies
  2. Generative ML Engineering — Architect and train models (GANs, Diffusion) for high-resolution 3D spatial data using PyTorch
    • Example: Generate realistic fracture networks via 3D generative models
    • Example: Apply neural style transfer to map sedimentary textures onto volumetric frameworks
 
Required Technical Skills:
  • Languages: Expert Python (NumPy/SciPy/CuPy); proficient C++ for performance kernels
  • Mathematics: Linear algebra, vector calculus, coordinate transformations
  • ML Frameworks: PyTorch (generative AI, computer vision)
  • Performance: CUDA/OpenMP; parallel computing experience
  • Workflow: AI-assisted coding for rapid prototyping and testing
 
Domain Knowledge:
Mathematical maturity in:
  • Structural modeling
  • Sedimentology
  • Tectonics
  • Geostatistics
 
Ideal Background:
  • MS/PhD in Computer Science, Applied Mathematics, Computational Physics, or equivalent
  • Portfolio/GitHub demonstrating procedural world-building, physics engines, or scientific simulators