Senior Process Data Scientist

Draslovka is a chemical technologies, products, and services company that develops solutions designed to improve the sustainability and economics of the mining industry. One of our products, Met Optima, is a cloud-based system that provides AI-driven recommendations to metallurgists and operators. The product will have a significant impact and will make a mark in the transition to a more sustainable mining industry.

• Develop predictive models and anomaly detection systems using industrial sensor and IoT data, with a focus on process optimization in mineral processing plants.
• Bring process engineering domain knowledge of mineral processing plants, specifically milling, flotation, and leaching, to help shape the future of AI-driven process optimization.
• Understand how Met Optima, our end-to-end optimization system, integrates with advanced process control (APC) systems.
• Work directly with customers to identify opportunities for data-driven performance improvement and optimization.
• Contribute to the development of hybrid models combining fundamental and data-driven approaches.
• Write Python code and Jupyter notebooks for research, prototyping, and data analysis.
• Analyze complex industrial datasets to uncover insights and identify process trends.
• Collaborate with a cross-functional team of data scientists, software engineers, metallurgists, product managers and designers to deliver production-grade ML pipelines - including data exploration, feature engineering, model development, and performance evaluation.

• A Bachelor's degree in Engineering (ideally Chemical or Process Engineering); a Master’s or Ph.D. is a strong plus.
• Solid experience and understanding of minerals processing, particularly in milling, flotation, and leaching operations.
• Familiarity with Advanced Process Control (APC) systems; experience with Model Predictive Control is an advantage.
• 4+ years of experience in statistical analysis, machine learning, or predictive modeling of dynamic systems.
• Hands-on experience working with large-scale datasets and data visualization tools.
• Python programming skills and working knowledge of SQL.
• Familiarity with time-series data and data pipelines is a plus.
• Strong communication skills, with the ability to explain complex technical topics to non-technical stakeholders.
• Proficiency in English (written and spoken).

• We utilize our extensive R&D expertise and success to make the future of the metal mining industry and agriculture industry truly environmentally sustainable with our smart chemistry.
• Work on meaningful problems – What we build must make sense. Every engineer has full visibility into the "why" behind their work and a say in designing the best solutions.
• Start-up mindset, global impact – Enjoy the agility of a start-up backed by a global leader, giving you the freedom to innovate with the resources to make an industry-wide impact.
• Collaboration with global teams – Work with talented engineers, data scientists, and domain experts across Czechia, South Africa, the USA, and Australia.
• Occasional travel - While regular travel is not expected, some travel will be required a few times a year. This includes quarterly planning sessions in Prague and occasional visits to customer sites.
• Autonomy and flexibility – Choose how you work with hybrid options, empowering you to work both on-site and remotely.
• Real sustainability impact – Your work will directly contribute to reducing cyanide use in mining, driving a shift toward greener, more responsible industry practices.