Senior Data Scientist - Remote Mining Analytics
Stellenbosch, 7600, South Africa
Listed on 2026-10-20
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Our client, a visionary leader in the global mining industry , is pioneering the use of advanced data analytics to revolutionize operations. We are seeking a highly skilled Senior Data Scientist to join their expanding remote team, focusing on mining-specific applications . This role is entirely remote, allowing you to contribute from anywhere. You will be instrumental in developing sophisticated models and algorithms to extract actionable insights from vast datasets related to exploration, production, safety, and environmental monitoring.
The ideal candidate will possess a strong foundation in statistical modeling, machine learning, and data visualization, coupled with a passion for applying these skills to solve complex challenges in the mining sector. You will work collaboratively with geologists, engineers, and operations specialists globally to drive data-informed decision-making and optimize performance across diverse mining assets. This is a unique opportunity to shape the future of mining through data science without geographical constraints.
- Design, develop, and deploy advanced statistical models and machine learning algorithms for mining applications (e.g., predictive maintenance, ore grade prediction, safety anomaly detection).
- Clean, process, and transform large, complex datasets from various mining sources (e.g., sensor data, geological logs, production reports).
- Collaborate with domain experts (geologists, engineers) to understand business problems and translate them into data science solutions.
- Develop and maintain data pipelines and infrastructure to support analytical workflows.
- Create compelling data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
- Conduct exploratory data analysis to identify trends, patterns, and opportunities for improvement.
- Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining industry.
- Mentor junior data scientists and contribute to the team's knowledge sharing and best practices.
- Evaluate and recommend new tools and technologies to enhance the data science capabilities.
- Ensure the ethical and responsible use of data and models.
- Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- A minimum of 5 years of professional experience as a Data Scientist, with demonstrable experience in building and deploying machine learning models in production.
- Strong programming skills in Python or R, including relevant libraries (e.g., scikit-learn, Tensor Flow, PyTorch, Pandas).
- Proficiency in SQL and experience working with large databases (e.g., SQL, No
SQL). - Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark) is a plus.
- Experience applying data science techniques to the mining sector or other heavy industry is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts clearly.
- Self-motivated and able to work independently in a remote setting.
This is a fully remote position, offering unparalleled flexibility. Our client provides a highly competitive salary and a comprehensive benefits package, including excellent health insurance, retirement savings plans, and performance-based bonuses. You will have the opportunity to work on cutting-edge projects with a global impact, collaborate with a talented international team, and access continuous learning and professional development resources. This role is based out of Stellenbosch, Western Cape 's conceptual hub for innovation but is conducted entirely remotely, allowing you to work from any location.
Embrace a forward-thinking work culture that values innovation, autonomy, and data-driven excellence in the mining industry .
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