About the project

• In the Performance Materials Division, we develop innovative plastics and foams for all kinds of applications. Whether it is for cars, buildings or sports goods – we always look for the ideal material solution. To do this, we work closely with our customers: from production and logistics to research and sales, all the way to component testing, design consulting and simulation.

Your responsibilities

• Manage and analyze large datasets from ERP and planning systems (e.g., SAP).
• Create simulation and optimization tools to support strategic planning processes in the area of supply chain.
• Monitor key metrics to ensure optimal decision-making in operational daily business.
• Identify process improvement opportunities within the SC organization.
• Take comprehensive responsibility for the development of SC team targets.
• Support and develop the SC team in all data-related and AI topics.
• Develop predictive models for demand forecasting, inventory optimization, and lead time prediction.
• Apply machine learning techniques (e.g., anomaly detection, planning data analysis) to large datasets to address supply chain challenges.
• Lead or co-lead SC digital transformation initiatives
• Collaborate with IT and data teams to ensure seamless integration of new technologies.
• Build automated data pipelines using Python, SQL or similar tools.

Our requirements

• Bachelor Degree in Data Science, Computer Science, Supply Chain or equivalent qualification
• Min 3 years of experience in Supply Chain or related fields
• Familiarity with Supply Chain Planning, OTC, OTI and Execution Systems
• Proficient in the relevant IT applications e.g., SAP R/3 & S4/Hana – SD, web applications (e.g., CRM tools and SCM tools), e-commerce solutions
• Experience with cloud platforms (e.g., Azure, AWS) and machine learning libraries
• Strong interpersonal and organizational skills with the ability to collaborate effectively across teams
• Excellent analytical & data skills
• Fluent English and German

Technologies we use