
Senior Process Data Scientist
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in South Africa.
• Create predictive models and anomaly detection systems utilizing industrial sensor and IoT data, focusing on optimizing processes in mineral processing facilities.
• Leverage process engineering expertise in mineral processing plants, particularly in milling, flotation, and leaching, to influence the advancement of AI-enhanced process optimization.
• Comprehend the integration of MetOptima, our comprehensive optimization system, with advanced process control (APC) systems.
• Collaborate directly with clients to pinpoint opportunities for performance enhancement and optimization driven by data.
• Aid in developing hybrid models that merge fundamental and data-informed methodologies.
• Develop Python code and Jupyter notebooks for research, prototyping, and data analysis purposes.
• Examine intricate industrial datasets to extract insights and identify process trends.
• Work alongside a diverse team of data scientists, software engineers, metallurgists, product managers, and designers to produce production-grade ML pipelines, encompassing data exploration, feature engineering, model development, and performance assessment.
• A Bachelor’s degree in Engineering, preferably in Chemical or Process Engineering; a Master’s or Ph.D. is highly advantageous.
• Strong experience and comprehension of minerals processing, especially in milling, flotation, and leaching operations.
• Knowledge of Advanced Process Control (APC) systems; experience with Model Predictive Control is beneficial.
• Over 4 years of experience in statistical analysis, machine learning, or predictive modeling of dynamic systems.
• Practical experience with large-scale datasets and data visualization tools.
• Proficient in Python programming and possess working knowledge of SQL.
• Familiarity with time-series data and data pipelines is an advantage.
• Excellent communication skills, capable of conveying complex technical concepts to non-technical audiences.
• Proficient in English, both written and spoken.
• Collaborate with global teams – Engage with skilled engineers, data scientists, and domain experts from Czechia, South Africa, the USA, and Australia.
• Occasional travel - While regular travel is not anticipated, some travel will be necessary a few times a year, including quarterly planning sessions in Prague and occasional visits to client locations.
• Autonomy and flexibility – Decide how you work with hybrid options, allowing for both on-site and remote work.
• Real sustainability impact – Your efforts will actively contribute to minimizing cyanide usage in mining, promoting a transition toward more sustainable and responsible industry practices.
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