SUPPLY CHAIN DATA SCIENTIST - FORECASTING & INVENTORY OPTIMIZATION (M/F/D)

For us „Let’s Go!“ is not just a slogan, it is an attitude. We love technology and we want to excite. We have fun and want to inspire. Our customers and our teams. That’s why we are looking for people who share this spirit. People who are passionate about creating the shopping experience of the future together with 50.000 colleagues across Europe.

PREFERRED QUALIFICATIONS:

• Experience applying machine learning or large language models in business or supply chain contexts
• Experience with data visualization tools (Tableau, Power BI, Looker, Google Data Studio)
• Experience with ERP and replenishment systems (SAP, RELEX)
• Familiarity with orchestration tools (Terraform)
• Knowledge of omni-channel retail or e-commerce environments

ABOUT US

We are a dynamic Demand & Supply Planning team driving a major transformation. Our mission: build a fully automated, data-driven supply chain that delivers efficiency, innovation, and outstanding customer experiences. With advanced systems and bold thinking, we automate processes end-to-end, eliminate inefficiencies, and stay ahead of market demands—strengthening our position as a leading omnichannel retailer. Every team member shapes this journey. We invest in people, empower growth, and celebrate success together. Join us to redefine what’s possible in supply chain and make a real impact every day.

• Design and maintain statistical and machine learning models for demand forecasting and inventory optimization
• Analyze large-scale supply chain data (SAP, RELEX, sales) to detect trends, anomalies, and improvement opportunities
• Build decision-support tools and dashboards for replenishment, planning, and inventory management
• Collaborate with Operations, IT, Category Management, and other stakeholders to embed predictive models into supply chain processes
• Monitor and improve KPIs such as forecast accuracy, inventory turns, stock availability, and system usage
• Lead research initiatives on new forecasting techniques, optimization models, and technologies
• Support automation of manual processes, including user training and change management
• Contribute to continuous improvement by identifying and implementing best practices