Jobs in Freiburg, Germany

Data Scientist Operations page is loaded

Apply locations CH - Visp PL - Warsaw - REMOTE Cologne - Remote CH - Visp REMOTE time type Full time posted on Posted Yesterday job requisition id R52653

Arxada is a global specialty chemicals business that’s committed to solving the world’s toughest preservation challenges through better science. [With a proud history of innovation dating back more than a century], we aim to help our customers develop more sustainable solutions that protect and maintain the health and wellbeing of people and extend the life of vital infrastructure while working to reduce our and our customers’ ecological footprint.

Sustainable preservation is one of our top priorities. We are making significant strategic investments that will not only decrease our own environmental footprint, but also help customers adapt to long-term environmental and social change through the development of cleaner, greener solutions.

The Data Scientist Operations is crucial to optimize production processes and productivity through the application of data analytics and data insights to the production environment – solve business problems through data.

He / she will be responsible for analyzing complex data sets, developing predictive models, and implementing AI-driven solutions to enhance operational efficiency and productivity.

The person will work very closely with business operations in order to tell the productivity story through data, and with other IT functions to understand data, application, and infrastructure dependencies.

The person has a strong background in data structures, data analytics, Artificial Intelligence, and operational technology, and he / she is familiar with OSISoft and Seeq solutions.

Key Accountabilities:

• Collaborate with commercial, R& D, and process teams to identify pain points and opportunities using customer journey mapping and process analysis.

• Propose and implement data- driven solutions, using proof of concept and experimentation when needed.

• Analyze complex data sets to uncover trends and generate actionable insights.

• Integrate AI and data solutions into OT systems to enhance automation, decision- making, and compliance.

• Translate business needs into data strategies and develop dashboards, reports, and visualizations for stakeholders.

• Partner with cross- functional teams, vendors, and OEMs to understand and leverage OT and IT data sources.

• Apply Agile principles, ensure standardization, documentation, training, and compliance with data and security standards.

• Stay current on trends in data analytics, visualization, and OT technologies.

Key Skills & Experience:

• Proficient in Python, R, SQL; familiar with ML frameworks ( e. g., TensorFlow, PyTorch) and visualization tools ( e. g., Power BI, Tableau).

• Strong analytical, problem- solving, and communication skills.

• Solid understanding of manufacturing, supply chain, and R& D environments.

• Experience with OT infrastructure ( e. g., OSIsoft PI, MSSQL, Seeq) and data integration in complex environments.

• Skilled in Agile project management and able to work independently or in teams.

• Demonstrated ability to troubleshoot issues, manage stakeholders, and drive innovation.

• Experience in delivering compliant IT/ OT systems in regulated environments.

Arxada has world class offering in two distinct areas:

Microbial Control Solutions (MCS) focuses on threats posed by microorganisms to people and planet through five distinct business lines including Professional Hygiene, Home & Personal Care, Wood Protection, Paints & Coatings and Material Protection.

Nutrition, Care & Environmental (NCE), meanwhile, provides materials used to manufacture composites for electronics, aerospace and other markets, as well as vitamins and nutritional ingredients, chemicals and performance intermediates, and raw materials for a wide range of high-performance applications.

Arxada is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law.

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