Remote Lead Mining Data Scientist

Placements24; East London; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Performance-based bonuses

Remote work with home office support

Cutting-edge technology access

Job summary

Placements24 is seeking a visionary Remote Lead Mining Data Scientist to establish and drive advanced analytics across exploration, production, and processing datasets.

You will build predictive models, craft data-driven insights, and guide data science implementations with a strong emphasis on remote collaboration and impact across mining operations.

Qualifications

• PhD or MSc in Data Science, Computer Science, Statistics, or related quantitative field.
• Minimum of 8 years of experience in data science, with at least 3 in a leadership role.
• Proven experience applying ML techniques (regression, classification, clustering, DL) to complex problems.
• Proficiency in Python or R and libraries like TensorFlow, PyTorch, Scikit-learn.
• Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).

Responsibilities

• Lead ML model development for predictive maintenance, forecasting, and optimization.
• Design data pipelines for large-scale mining datasets.
• Develop advanced analytics to reveal patterns in geological, operational, and financial data.
• Collaborate with geologists, engineers, and metallurgists to define problems and deliver solutions.
• Mentor a team of data scientists and analysts in a remote setting.
• Stay at the forefront of data science and AI advancements in mining.

Skills

Leadership

Data science

Machine learning

Python

Big data

Cloud computing

Education

PhD in Data Science

MSc in related quantitative field

Tools

TensorFlow

PyTorch

Scikit-learn

Python

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a visionary and experienced Remote Lead Mining Data Scientist to establish and lead their advanced analytics initiatives. This role is critical in leveraging big data to drive operational efficiencies, optimize resource extraction, and inform strategic decision-making across all mining operations. You will work with vast datasets from exploration, production, and processing to build predictive models, develop data-driven insights, and guide the implementation of data science solutions. The ideal candidate thrives in a remote setting, possesses deep expertise in data science and machine learning, and has a strong understanding of the mining industry's unique challenges and opportunities.

Key Responsibilities

• Lead the development and deployment of machine learning models for predictive maintenance, resource forecasting, and operational optimization.
• Design and implement data pipelines for collecting, cleaning, and transforming large-scale mining datasets.
• Develop advanced analytical techniques to uncover patterns and insights from geological, operational, and financial data.
• Collaborate with domain experts (geologists, engineers, metallurgists) to define analytical problems and deliver actionable solutions.
• Mentor and guide a team of data scientists and analysts in a remote work environment.
• Stay at the forefront of data science and AI advancements, identifying opportunities for application in the mining sector.

Requirements

• PhD or MSc in Data Science, Computer Science, Statistics, or a related quantitative field.
• Minimum of 8 years of experience in data science, with at least 3 years in a leadership role.
• Proven experience applying machine learning techniques (e.g., regression, classification, clustering, deep learning) to complex problems.
• Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of the mining industry's data landscape and challenges.

Benefits

• Highly competitive salary and significant performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible remote work arrangement with generous home office support.
• Access to cutting-edge technology and a significant budget for professional development.
• A stimulating and collaborative virtual work environment focused on innovation and impact.