Resource & Modeling Development Engineer Supervisor
Job in
Jakarta Selatan, Jakarta, Indonesia
Listed on 2026-07-31
Listing for:
Neo Energy Materials
Full Time
position Listed on 2026-07-31
Job specializations:
-
Engineering
Geology / Geoscience, Environmental Engineer, Environmental Compliance & Protection -
Science
Geology / Geoscience, Environmental Compliance & Protection
Job Description & How to Apply Below
- Manage, validate, and maintain drilling databases to support geological modeling and resource estimation.
- Develop, implement, and monitor QA/QC protocols to ensure geological data quality and integrity.
- Analyze QA/QC performance and recommend continuous improvements to data management processes.
- Plan, supervise, and evaluate drilling programs, including budgeting and cost control.
- Develop geological models and perform mineral resource estimation using geostatistical methods.
- Coordinate with the Grade Control team to optimize mining activities by minimizing ore loss and grade dilution.
- Conduct reconciliation between mining production and block models to evaluate resource performance.
- Prepare exploration reports and mineral resource estimates in accordance with SNI and KCMI standards.
- Prepare periodic reports on exploration progress, resource modeling, remaining reserves, and reconciliation results.
- Lead, mentor, and evaluate the performance of the geology and exploration team.
- Ensure all geology and exploration activities comply with HSE standards, mining regulations, and company SOP.
Qualifications
- Bachelor's Degree in Geology.
- Minimum 4 years of experience in the mining industry, preferably in nickel mining ( is an advantage) or experience in coal, quarry, and gold mining
- Proficient in mining software such as Surpac, Leapfrog, Vulcan, and ArcGIS/Arc Map.
- Strong knowledge of geostatistics, geological modeling, mineral resource estimation, and resource classification.
- Familiar with SNI and KCMI reporting standards.
- Experienced in geological database management and maintaining data integrity.
- Strong analytical, communication, leadership, and team management skills.
- Candidates with good spoken and written English communication skills will be preferred.
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