We areDraslovka
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, MetOptima, 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.
About the Role:
As a Staff Data Scientist, you will set technical direction for optimization and predictive capabilities in MetOptima and lead high-impact initiatives from concept to production. You’ll define the strategy for modeling mineral processing plants - including milling, flotation, and leaching - while pioneering new optimization methods and de-risking advanced techniques before productization. In this role, you will work closely with Product, Engineering, and Mining & Process Engineering experts to transform innovation into production-ready solutions.
What You’ll Do Set technical direction for optimization and predictive modeling capabilities in MetOptima.Define a strategy for modeling mineral processing plants, including milling, flotation, and leaching, together with Mining & Process Engineering experts.Pioneer new optimization methods and de-risk advanced techniques through rapid prototyping and experimentation.Lead high-impact R&D initiatives from concept to prototype, ensuring scalability and product readiness.Collaborate closely with Product and Engineering to integrate innovations into production.Mentor and support other data scientists in advanced modeling and optimization practices. What You Bring 8+ years in applied machine learning or optimization (or 6+ with a PhD), with experience in R&D or advanced modeling.Deep expertise in time-series modeling and at least one of: constrained optimization, control systems, Bayesian optimization, or causal inference.Strong proficiency in Python, with experience in production ML fundamentals (testing, CI/CD, monitoring, feature management).Familiarity with cloud platforms (Azure preferred) and orchestration tools (e.g., Airflow).Excellent ability to communicate complex technical concepts to both technical and non-technical stakeholders.Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics) required; Master’s or Ph.D. preferred.Proficiency in English. Why you should join Draslovka Build real-world AI & cloud solutions - Work on cutting-edge AI and cloud technologies that transform mining operations, making them safer, more sustainable, and more efficient.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.Autonomy and flexibility – Choose how you work with hybrid options, empowering you to work both on-site and remotely.Investment in your growth – Get access to an education budget, learning opportunities, and 26 vacation days to recharge and stay ahead.Real sustainability impact – Your work will directly contribute to reducing cyanide use in mining, driving a shift toward greener, more responsible industry practices.
