Senior Process Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Draslovka

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1923

🌾 Agriculture

💰 Private Equity Round on 2022-02

Chemicals • Mining • Agriculture

Draslovka is a family-owned Czech company with over 100 years of history, specializing in sustainability-led technologies and chemical solutions. It focuses on three core areas: agricultural solutions, mining process solutions, and specialty chemicals, aiming to transform critical industries while prioritizing sustainable practices. The company is known for its innovative fumigation and agricultural products as well as its expertise in CN-group chemistry and glycine leaching technology (GLT). Draslovka's global operations are driven by an international team committed to safety and leading customer service, establishing the company as a leader in reimagining chemical applications for sustainable growth.

📋 Description

• 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

• 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

• 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.