Data Engineer

As a member of the data science team positioned within our digital center of excellence at the heart of our manufacturing industry, you will be integral to our mission of becoming leaders in world-class supply chain management. Leveraging cutting-edge technologies within our Azure Cloud computing environment, you'll contribute to revolutionizing industrial practices through innovative digital, AI and data-driven solutions.

Job Purpose

On a global scale, we’re looking for an experienced Data Scientist to co-deliver solutions on:

• E2E Reporting & Analytics for Integrated Supply Chain (MAKE, SOURCE, DELIVER, QUALITY, PLAN & Integrated-Business-Planning) to drive business decisions to improve on Service, Cost and Inventory.
• Improvements in Master data to clean Lifecycle statuses and streamline MRP runs, capture and maintain Production data to manage capacity constraints in the network.
• Descriptive-, prescriptive- and predictive models that are built in our big data platforms to optimize our MRP and network design e.g. through matching demand segmentation (ABC-XYZ) with supply policies (MTO/MTS), order quantities/lot sizes, safety stock locations and quantities.
• Automated global solutions to facilitate company-wide IBP and Financial planning with high focus on reliability and sustainable performance.

Key Activities

• Data science – drive innovation initiatives to explore and implement emerging tools & technologies, and implement state-of-art Machine learning, optimization and statistical techniques to enhance predictive modeling, optimization, and decision-making processes.
• Product owner – responsible for defining and driving the product vision and strategy, collaborating with stakeholders and cross-functional teams, prioritizing and managing the product backlog, ensuring timely delivery of high-quality products, and gathering feedback for continuous improvement and innovation.
• Data analytics & reporting – Interpret results in a business context, discuss with business partners, and incorporate data-driven decision-making in operations. Design advanced data models for multi-stakeholders and performant reporting while dealing with big data.
• Validate achieved process performance with meaningful KPIs.

Requirements

• MSc or PhD in Computer Science, Data science, Mathematics, Applied physics, Statistical Science, Supply Chain Management, Industrial Engineering or similar.
• 4+ years of relevant experience in the field.
• Advanced programming knowledge of Scala, Python, PySpark, SQL. Working experience in ERP systems, R, Azure, Alteryx, PowerBI is nice to have and the ability to quickly expand skills and master new systems/tools. Thorough understanding of the Azure cloud environment is a plus.
• Experience in Lean Manufacturing, Advanced Planning Systems (APS), ERP systems.