Applied Scientist - Demand Forecasting | Applied Scientist- Demand Forecasting (all genders)
Zalando SE
Job Summary
Join Zalando's Fulfillment Core team as an Applied Scientist, where you'll be instrumental in building and optimizing large-scale demand forecasting models that influence the planning, stocking, and delivery of fashion across Europe. This role involves leveraging machine learning and deep learning techniques to create robust and scalable solutions for inventory allocation and predictive storage management. You'll collaborate closely with cross-functional teams of engineers, scientists, and business partners, ensuring your models are production-ready and aligned with real-world operational needs. This position offers a unique opportunity to contribute to critical systems that handle over 185 million orders annually, working within a vibrant, international environment in Berlin.
Required Skills
Education
Academic background in a quantitative field (e.g., Computer Science, Engineering, Mathematics, Statistics, or related discipline)
Experience
- Hands-on experience in forecasting within an industrial setting
- Experience with large-scale forecasting applications highly desirable
Languages
Additional
- Relocation assistance available (subject to prior agreement)
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