Senior Process Data Scientist

Draslovka

. Develop predictive models and anomaly detection systems using industrial sensor and IoT data, with a focus on process optimization in mineral processing plants.

Posted 6/8/2026full-timeRemote • 🇿🇦 South AfricaSeniorWebsite

Tech Stack

Tools & technologies

IoTPythonSQL

About the role

Key responsibilities & impact

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 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 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.

Requirements

What you’ll need

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).

Benefits

Comp & perks

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.

ATS Keywords

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Hard Skills & Tools

predictive modelinganomaly detectiondata analysisPythonJupyter notebooksstatistical analysismachine learningdata visualizationSQLfeature engineering

Soft Skills

communicationcollaborationproblem-solvingcustomer engagementtechnical explanation

Certifications

Bachelor's degree in EngineeringMaster’s degreePh.D.