Senior Geostatistician Job Vacancy in Gbarnga, Liberia – Mining and Mineral Exploration

Job Description

Position: Senior Geostatistician

Company: Rio Tinto

Location: Gbarnga, Liberia

Experience: 5-7 years

Education: Master’s Degree in Geostatistics or Mathematical Geology

Employment Type: Full-time

Industry: Mining and Mineral Exploration

Department: Resource Estimation

Salary: 450,000 – 650,000 SSP

Vacancies: 1

Company Overview

Rio Tinto is a global leader in the mining and metals industry, dedicated to providing the world with essential resources for modern life. Our operations are driven by innovation, sustainability, and a commitment to responsible resource extraction. As we expand our footprint across Africa, we are looking for top-tier talent to join our growing team in Liberia. We offer a dynamic environment where cutting-edge technology meets large-scale industrial challenges. For those seeking meaningful career opportunities in Liberia, Rio Tinto provides a platform for professional growth and global exposure. We prioritize safety, environmental stewardship, and community engagement in every project we undertake.

Job Overview

We are seeking a highly skilled Senior Geostatistician to join our resource estimation team in Gbarnga. This role is critical to our mining operations, as you will be responsible for modeling complex ore bodies and providing the mathematical foundation for our extraction strategies. The successful candidate will utilize advanced statistical methods to interpret geological data, ensuring high-precision resource models that guide our long-term mine planning. This is a premier job vacancy in Liberia for a specialist who thrives on complex data sets and high-stakes decision-making. You will work closely with geologists, mine planners, and engineers to optimize resource recovery and minimize waste. Explore more about our mission at https://liberiajobsearch.com.

Key Responsibilities

• Develop and implement advanced geostatistical models to estimate ore grades and volumes.
• Perform spatial analysis and uncertainty quantification for complex mineral deposits.
• Validate geological data through rigorous statistical testing and quality control protocols.
• Collaborate with the exploration team to optimize drilling programs based on model results.
• Produce detailed resource reports for regulatory compliance and internal strategic planning.
• Integrate multi-disciplinary data sets including assay results, core logging, and geophysical data.

Required Skills

• Expertise in Kriging, Conditional Simulation, and Variography.
• Proficiency in industry-standard software such as Leapfrog, Surpac, or Micromine.
• Advanced mathematical modeling and statistical programming capabilities.
• Strong analytical thinking and ability to interpret complex spatial data.
• Excellent communication skills for presenting technical findings to non-technical stakeholders.

Education

A Master’s degree or PhD in Geostatistics, Mathematical Geology, or a closely related quantitative field is mandatory. A strong foundation in spatial statistics and mineral resource estimation is essential for success in this role.

Experience

Candidates must possess a minimum of 5 to 7 years of direct experience in geostatistical modeling within the mining or oil and gas sector. Proven experience in large-scale open-pit or underground mine resource estimation is highly preferred. We are looking for professionals who have successfully managed complex spatial datasets in a commercial mining environment.

Salary

The monthly salary for this position ranges from 450,000 SSP to 650,000 SSP, depending on the candidate’s specific expertise and technical proficiency.

Benefits

• Comprehensive health and dental insurance coverage.
• Performance-based annual bonuses.
• Relocation assistance for qualified international candidates.
• Subsidized housing and transport in the Gbarnga region.
• Access to global professional development networks.

Training

• Advanced software training for specialized mining modeling tools.
• Leadership and management training for senior technical roles.
• Safety and environmental compliance certification programs.

For more information on international standards, visit https://eritreajobsearch.com/.

Working Environment

The working environment is a blend of high-tech office settings and field-based data verification. While the primary modeling work is conducted in a professional office setting in Gbarnga, occasional visits to exploration sites may be required to ensure data integrity. We maintain a rigorous focus on occupational health and safety standards to ensure a secure environment for all employees.

Application Process

Interested candidates should submit their CV and a cover letter detailing their specific experience with spatial statistics and mining software. Applications are reviewed on a rolling basis. For more career opportunities in Liberia, please monitor our official portals regularly. You can find additional regional listings at https://lesothojobsearch.com/.

Equal Opportunity Statement

Rio Tinto is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, or disability status. We are actively hiring in Liberia to build a diverse and talented workforce.