Remote Senior Data Scientist - Mining Analytics

About the Role Our client, a leader in innovative mining technology, is seeking a highly skilled and experienced Senior Data Scientist to join their fully remote team. This role will focus on developing and implementing advanced analytical models to drive insights and efficiencies across various mining operations. Based anywhere, you will leverage large datasets from exploration, operations, and processing to uncover trends, predict outcomes, and optimize decision-making.

This is a unique opportunity to shape the future of data-driven mining from a remote work environment, contributing to critical strategic initiatives without geographical constraints. The ideal candidate is passionate about applying machine learning and statistical techniques to solve complex real-world problems in the mining industry.

• Design, develop, and deploy machine learning models and statistical algorithms to address key mining challenges (e.g., predictive maintenance, ore grade prediction, operational optimization).
• Analyze large and complex datasets from diverse sources within the mining value chain.
• Collaborate with cross-functional teams, including geologists, engineers, and operations managers, to understand their data needs and translate them into analytical solutions.
• Develop data pipelines, perform feature engineering, and ensure the scalability and robustness of analytical solutions.
• Communicate complex findings and recommendations clearly and concisely 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, and evaluate their potential application in mining.
• Mentor junior data scientists and contribute to the team's technical growth.
• Ensure data quality, integrity, and adherence to privacy and security standards.
• Champion the adoption of data-driven decision-making across the organization.

• A Master's degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• A minimum of 7 years of professional experience as a Data Scientist, with a significant portion focused on applying advanced analytics in an industrial or resource sector context.
• Proven expertise in developing and deploying machine learning models (e.g., regression, classification, clustering, time series forecasting).
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, Tensor Flow, PyTorch, Pandas).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong SQL skills and experience with database management.
• Excellent analytical, problem-solving, and critical thinking skills.
• Outstanding communication and presentation skills, with the ability to convey technical concepts to diverse audiences.
• Demonstrated ability to work independently and manage multiple projects effectively in a remote setting.

This position offers a highly competitive salary, flexible working hours, and the full benefits of a remote-first work environment. Our client provides excellent opportunities for professional development, including access to online training and conferences. Join a cutting-edge team and make a substantial impact on the future of mining analytics from the comfort of your home office, regardless of your proximity to Bloemfontein .