Remote Mining Data Scientist – Predictive Analytics

Placements24; Mossel Bay; Hybrid; ZAR 700,000 - 1,200,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Health insurance

Home office setup allowance

Professional development budget

Job summary

Placements24 is seeking a Remote Data Scientist to join our analytics team focused on the mining sector. You will work on large, diverse datasets to uncover insights, build predictive models, and drive data-informed decisions across exploration, operations and resource management.

The role emphasizes remote collaboration with geologists, engineers and analysts worldwide, leveraging Python/R, ML techniques and cloud platforms to deliver impactful results.

Qualifications

• Master's degree or PhD in Data Science, Statistics, Computer Science or related field.
• 5+ years of professional data science experience with impact.
• Strong Python or R programming and ML/visualization libraries.
• Experience with big data tools and cloud platforms.

Responsibilities

• Develop and implement ML models to predict grades, failures, and efficiency.
• Process and analyze large mining datasets from multiple sources.
• Create data visualizations and dashboards for stakeholders.
• Collaborate with geologists, engineers, and analysts on data needs.
• Stay updated on data science advances and best practices.
• Contribute to company-wide data strategy and governance.

Skills

Python

R

Statistical modeling

Machine learning

Data visualization

Communication

Spark

Hadoop

AWS

Azure

GCP

Education

Master's degree or PhD in Data Science, Statistics, Computer Science

Tools

Spark

Hadoop

AWS

Azure

GCP

Pandas

Scikit-learn

Job description

Placements24 is seeking a Remote Data Scientist to join our analytics team focused on the mining sector. You will work on large, diverse datasets to uncover insights, build predictive models, and drive data-informed decisions across exploration, operations and resource management.

The role emphasizes remote collaboration with geologists, engineers and analysts worldwide, leveraging Python/R, ML techniques and cloud platforms to deliver impactful results.