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Draslovka

Posted 9 months ago

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Staff Data Scientist

PragueHybridFull-time

AI Summary

Staff Data Scientist leads optimization and predictive modeling initiatives for MetOptima, defining strategies for modeling mineral processing plants and guiding R&D from concept to production.

About this role

We are Draslovka
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.

    • Skills

    AirflowAzureBayesian OptimizationCausal InferenceCI/CDCloud PlatformsConstrained OptimizationControl SystemsFeature ManagementMonitoringProduction ML FundamentalsPythonTime-series Modeling

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