Senior Data Scientist — Remote Mining Analytics & ML

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 1,000,000 - 1,600,000; Full time

Benefits offered by this job

Remote work in SA

Competitive salary

Professional development budget

State-of-the-art remote setup

Job summary

Placements24 is seeking a highly skilled Senior Data Scientist to join our analytics team. This role is remote within South Africa and focuses on mining operations, predictive maintenance, and resource optimization.

You will collaborate with geologists, engineers and operations managers to deliver data-driven insights, build advanced models, and develop scalable data pipelines and dashboards.

Qualifications

• Master's or PhD in a quantitative field (CS, stats, math).
• 6+ years as a Data Scientist with ML and statistical modeling.
• Proficient in Python or R and ML libraries (scikit-learn, TF, PyTorch).
• Experience with Spark/Hadoop and SQL databases.
• Ability to communicate complex concepts to non-technical audiences.
• Mining or related industry experience is advantageous.

Responsibilities

• Develop ML models for predictive maintenance and exploration.
• Analyze large mining datasets to identify trends and insights.
• Design experiments and A/B tests for new algorithms.
• Collaborate with geologists, engineers and ops managers to define projects.
• Build data pipelines and dashboards to visualize KPIs and metrics.
• Stay updated on data science advances and apply to mining challenges.

Skills

Python

R

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

SQL

Communication

Education

Master's or PhD in CS/Statistics/Math

Tools

Spark

Hadoop

SQL Databases

Job description

Placements24 is seeking a highly skilled Senior Data Scientist to join our analytics team. This role is remote within South Africa and focuses on mining operations, predictive maintenance, and resource optimization.

You will collaborate with geologists, engineers and operations managers to deliver data-driven insights, build advanced models, and develop scalable data pipelines and dashboards.