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