Applied Scientist - Demand Forecasting | Applied Scientist- Demand Forecasting (all genders)
Zalando SE
Job Summary
Join Zalando's Fulfillment Core team as an Applied Scientist to develop and implement intelligent, large-scale demand forecasting models. This role involves leveraging machine learning and deep learning techniques to predict customer demand, influencing inventory planning, stock placement, and logistics across Europe. You will collaborate closely with cross-functional teams of engineers, scientists, and business partners to ensure models are robust, scalable, and directly address real-world business challenges. The ideal candidate will have hands-on experience in industrial forecasting, a strong academic background in a quantitative field, and proficiency in Python with relevant ML libraries. This position offers the chance to contribute to critical operational systems, engage with a vibrant scientific community, and work in a dynamic, international environment in Berlin.
Required Skills
Education
Academic background in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or a related discipline
Experience
- Hands-on experience in forecasting within an industrial setting
- Experience with large-scale forecasting applications (highly desirable)
Languages
Additional
- Not specified
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