Remote Data Scientist - Predictive Analytics (Mining)

About the Role

Our client, a pioneering force in the Mining technology sector, is seeking a highly skilled and innovative Remote Data Scientist to join their globally distributed team. This role is a fully remote position, offering the flexibility to work from anywhere, with a specific focus on developing and implementing advanced predictive analytics models for our mining operations. The successful candidate will leverage large datasets to uncover insights, optimize processes, and drive operational efficiency across various mining domains, including exploration, production, and maintenance. You will be instrumental in transforming raw data into actionable intelligence, contributing to smarter and more sustainable mining practices.

This is an exciting opportunity for a data-driven professional to make a significant impact on the future of mining technology from the comfort of their own home office, operating in a remote-first environment.

Key Responsibilities

• Design, develop, and deploy machine learning models for predictive maintenance, ore grade forecasting, and operational optimization in mining contexts.
• Collect, clean, and process large, complex datasets from various sources, ensuring data integrity and accuracy.
• Perform exploratory data analysis to identify patterns, trends, and correlations relevant to mining operations.
• Develop and maintain data pipelines and analytical workflows.
• Collaborate with domain experts, including geologists and engineers, to understand business needs and translate them into data science solutions.
• Communicate complex findings and insights effectively to both technical and non-technical stakeholders through visualizations and reports.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence, particularly as they apply to the Mining industry.
• Contribute to the development of data governance and best practices within the organization.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience (5+ years) as a Data Scientist with a strong portfolio of machine learning projects.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Solid understanding of statistical modeling, data mining, and machine learning algorithms.
• Familiarity with SQL and NoSQL databases.
• Excellent problem-solving abilities and a keen eye for detail.
• Strong communication and collaboration skills, with the ability to work effectively in a remote, distributed team environment.
• Prior experience in the Mining industry or with geological/operational datasets is a significant advantage.

Benefits

This fully remote position offers a highly competitive salary and a flexible work schedule, empowering you to manage your work-life balance effectively. Our client provides a comprehensive benefits package, including excellent health insurance, a generous retirement plan, and opportunities for continuous learning and professional growth through online courses and conferences. You'll be part of an innovative and forward-thinking company that embraces remote work culture, allowing you to contribute to cutting-edge projects in the Mining sector from anywhere in the world. This role is based out of Durban, KwaZulu-Natal , but is fully remote.