Remote Lead Data Scientist — Mineral Resource Analysis

Placements24; Siyancuma Local Municipality; Hybrid; ZAR 2,400,000 - 4,200,000; Full time

Benefits offered by this job

Remote work

Stock options

Home office allowance

Learning opportunities

Health insurance

Job summary

Placements24 in South Africa invites a Lead Data Scientist to head remote mineral resource analysis. You will lead a distributed data team, develop predictive models for resource estimation and mine planning, and collaborate with geologists, engineers, and geophysicists to translate data into actionable insights for exploration and operations.

Requirements include a PhD or Master’s in a quantitative field, 8+ years in data science with mining or geoscience experience, expertise in ML and

Qualifications

• PhD or Master’s in a quantitative field is required.
• 8+ years of data science experience, preferably in mining/geoscience.
• Fluent in ML, statistics and big data methods.

Responsibilities

• Develop and implement ML models for mineral prospectivity, resource estimation, and operational performance predictions.
• Lead a remote team of data scientists and analysts with mentorship and project management.
• Collaborate with geologists, engineers and geophysicists to define data requirements and analytics objectives.
• Design and manage data pipelines ensuring data quality, integrity and accessibility for analysis.
• Communicate complex findings with clear visuals and reports to technical and non-technical stakeholders.
• Stay at the forefront of data science techniques and tools relevant to mining.

Skills

Advanced ML

Statistical modeling

Geoscience data

Python

R

Data visualization

Leadership

Remote collaboration

Education

PhD in Data Science

Masters in Geostatistics/Statistics

Tools

Spark

Hadoop

Job description

Placements24 in South Africa invites a Lead Data Scientist to head remote mineral resource analysis. You will lead a distributed data team, develop predictive models for resource estimation and mine planning, and collaborate with geologists, engineers, and geophysicists to translate data into actionable insights for exploration and operations.

Requirements include a PhD or Master’s in a quantitative field, 8+ years in data science with mining or geoscience experience, expertise in ML and