Nickel Mining Geology Supervisor & Resource Estimator

Pt Arnawarma Mineral Jaya; Malili; Remote; IDR 400,000,000 - 850,000,000; Full time

Job summary

Pt Arnawarma Mineral Jaya is seeking a Senior Geostatistician to lead advanced resource estimation and geostatistical modeling within a global mining setting. This fully remote role lets you contribute from anywhere while collaborating with geologists, mining engineers, and finance teams.

You will develop and validate geostatistical methods, perform variography and kriging, and produce reports aligned with industry standards.

Qualifications

• Master's or PhD in Geostatistics or related field required.
• Minimum 8 years' geostatistical modeling experience for resource estimation.
• Proficiency in Python or R for data analysis and automation.

Responsibilities

• Develop, validate, and apply geostatistical models for resource estimation.
• Perform spatial data analysis, including variography and kriging, on geological and assay data.
• Collaborate with geologists and mining engineers to define geological domains and input parameters.
• Generate resource/reserve reports compliant with industry standards (e.g., JORC, NI 43-101).
• Conduct sensitivity analyses and uncertainty assessments for resource estimates.
• Evaluate and implement new geostatistical techniques and software.
• Mentor junior geostatisticians and contribute to technical training.
• Communicate complex statistical concepts and results to diverse audiences.
• Ensure the integrity and quality of all geological and geostatistical data used.
• Stay current with advancements in geostatistics and their application in the mining industry.

Skills

Geostatistical modeling

Resource estimation

Data analysis

Python

R

Communication

Education

Master's or Ph.D. in Geostatistics, Mining Engineering, Statistics, Geology, or related field

Tools

GSLIB

Isatis

Supervisor

Job description

About the Role

Our client, a global leader in the mining industry , is seeking a highly accomplished Senior Geostatistician to join their innovative team. This is a fully remote position, allowing you to leverage your expertise from anywhere. You will play a pivotal role in resource estimation, developing and applying advanced geostatistical methods to accurately quantify mineral reserves. Your work will directly influence strategic decisions in exploration, mine planning, and financial evaluations. We are looking for a candidate with a deep theoretical understanding and practical application of geostatistics, coupled with the ability to communicate complex methodologies effectively. This role demands a rigorous, analytical approach and a commitment to delivering high-quality, reliable resource models. Join us in pushing the boundaries of resource characterization in the mining sector.

Key Responsibilities

• Develop, validate, and apply geostatistical models for resource and reserve estimation.
• Perform spatial data analysis, including variography and kriging, on geological and assay data.
• Collaborate with geologists and mining engineers to define geological domains and input parameters.
• Generate resource/reserve reports compliant with industry standards (e.g., JORC, NI 43-101).
• Conduct sensitivity analyses and uncertainty assessments for resource estimates.
• Evaluate and implement new geostatistical techniques and software.
• Mentor junior geostatisticians and contribute to technical training.
• Communicate complex statistical concepts and results to diverse audiences.
• Ensure the integrity and quality of all geological and geostatistical data used.
• Stay current with advancements in geostatistics and their application in the mining industry.

Requirements

• Master's or Ph.D. in Geostatistics, Mining Engineering, Statistics, Geology, or a related quantitative field.
• Minimum of 8 years of direct experience in geostatistical modeling for resource estimation.
• Expertise in geostatistical software packages such as GSLIB, Isatis, Supervisor, Supervisor, or similar.
• Proficiency in scripting languages (e.g., Python, R) for data analysis and automation is essential.
• Strong understanding of geological principles and mineral deposit types.
• Excellent analytical, problem-solving