Remote Senior Data Scientist - Mining Analytics & Impact

Placements24; Kempton Park; Remote; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Remote work

Competitive salary

Health, dental, vision insurance

Professional development budget

Home office stipend

Job summary

Placements24 invites a Senior Data Scientist to join a globally recognized leader in the mining sector in a fully remote role. You will drive predictive maintenance, production forecasting, and resource estimation using Python or R, with collaboration across geologists, engineers, and data professionals.

You'll design data pipelines, build dashboards, and mentor junior data scientists while contributing to sustainable and profitable mining practices across international operations.

Qualifications

• Master's or PhD in a quantitative field required.
• 5+ years as a Data Scientist with impactful solutions.
• Strong programming and ML skills in Python or R.
• Experience applying ML in mining or heavy industry preferred.
• Excellent communication and collaboration abilities.

Responsibilities

• Develop ML models for predictive maintenance and forecasting.
• Analyze large datasets from sensors, logs, and surveys.
• Design robust data pipelines for ingestion, cleaning, and feature engineering.
• Create dashboards and visualizations for diverse stakeholders.
• Collaborate with geologists and engineers to translate problems into ML tasks.
• Design and run experiments to validate models and hypotheses.
• Mentor junior data scientists and promote data-driven culture.
• Stay updated with ML research and mining applications.
• Ensure data quality, privacy, and security standards.

Skills

Python

R

SQL

Data visualization

Machine learning

Cloud platforms

Spark

Pandas/Numpy

Education

Master's or PhD in Data Science/CS/Statistics/Engineering

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Job description

Placements24 invites a Senior Data Scientist to join a globally recognized leader in the mining sector in a fully remote role. You will drive predictive maintenance, production forecasting, and resource estimation using Python or R, with collaboration across geologists, engineers, and data professionals.

You'll design data pipelines, build dashboards, and mentor junior data scientists while contributing to sustainable and profitable mining practices across international operations.