Lead advanced analytics remotely with Python and machine learning, shaping operational efficiency, predictive maintenance, and resource optimization for mining.

This experienced Lead Data Scientist will define data strategy and develop analytical solutions for mining operations. The role requires statistical modeling, machine learning algorithms, and big data expertise. You will translate complex insights into actionable business strategies while leading data scientists and analysts.

Key Responsibilities:

- Lead data science strategies for mining operations, safety, and exploration
- Build and deploy predictive maintenance and anomaly detection models
- Oversee data acquisition, cleaning, validation, and deployment




- Mentor data scientists and analysts across the full lifecycle
- Develop robust pipelines and analytical infrastructure

Requirements:

- Master’s or Ph.D. in a quantitative field
- Eight years’ data science experience and three leadership years
- Expertise with Python or R and machine learning libraries
- Solid Spark, Hadoop, SQL, and NoSQL experience
- Fully remote team experience is essential

Apply advanced modeling, big data, and leadership expertise to mining analytics, predictive maintenance, and operational decision-making.

📌 Lead Mining Data Scientist (Kimberley)
🏢 Placements24
📍 Kimberley