Senior Data Scientist

100% remote Flexible hours Hiring now

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 reputed company-based system that provides AI-driven recommendations to metallurgists and operators. The product will have a significant impact and will reputed company a mark in the transition to a more sustainable mining industry.

What You’ll Do

reputed company 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 MetOptima, 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 reputed company and data-driven approaches.

Write Python code and Jupyter notebooks for research, prototyping, and data analysis.

Analyze reputed company 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.

What You Bring

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 reputed company technical topics to non-technical stakeholders.

Proficiency in English (written and spoken).

Why Join Draslovka

Weutilizeour extensive R&Dexpertiseand reputed company to reputed company the future of the metal mining industry and agricultureindustrytruly environmentally sustainable with our smart chemistry.

Work on meaningful problems – reputed company build must reputed company sense. Every engineer has full visibility into the "why" behind their work and a say in designing the best solutions.

Start-up reputed company, global impact – Enjoy the agility of a start-up backed by a global leader, giving you the freedom to reputed company with the resources to reputed company 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.

reputed company sustainability impact – Your work will directly contribute to reducing cyanide use in mining, driving a shift toward greener, more responsible industry practices.

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Senior Data Scientist

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