Lead mining analytics remotely through Python, machine learning, and statistical modeling while guiding solutions for operational efficiency. Shape data-driven decisions across mining operations, maintenance, safety, and exploration.

This experienced Lead Data Scientist will define data strategy and develop analytical solutions for a technology firm specializing in mining. The role leads data scientists and analysts while translating complex insights into actionable business strategies. It combines technical direction, team management, and collaboration with engineers, geologists, and operations managers.

Key Responsibilities:

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



validation, and model deployment
- Manage and mentor data scientists and analysts
- Communicate findings through virtual presentations and reports

Requirements:

- Master’s or Ph.D. in a quantitative field
- Minimum eight years’ data science and machine learning experience
- At least three years in leadership or team management
- Expertise in Python or R and data science libraries
- Experience with Spark, Hadoop, SQL, or NoSQL

Apply statistical modeling, machine learning, leadership, and communication expertise to advance responsible mining analytics from anywhere.

📌 Remote Mining Data Science Lead (Kimberley)
🏢 Placements24
📍 Kimberley