Senior Applied Scientist - Assortment Demand Forecast | Senior Applied Scientist - Assortment Demand Forecast (all genders)
Zalando SE
Job Summary
As a Senior Applied Scientist within the Partner Tech team, you will serve as a key driver for Zalando's growth by refining an industry-leading demand forecast engine. Your daily responsibilities involve the entire development lifecycle of algorithms—from conceptualization and prototyping to productionizing state-of-the-art solutions. You will collaborate with product managers and engineers to design advanced experimentation frameworks, measure causal impacts, and optimize marketing investments. A significant portion of the role involves building sophisticated model pipelines and mentoring junior scientists to foster a culture of continuous learning. This position is particularly attractive for those who enjoy solving complex problems with high-level autonomy while influencing large-scale business decisions through data-driven steering. You will move beyond simple metrics to achieve true incremental business value in a hybrid working environment that supports both technical excellence and professional development.
Required Skills
Education
Master's degree or PhD in Quantitative Economics, Statistics, Mathematics, Physics, Operations Research, or a related quantitative discipline.
Experience
- 5+ years of industry experience in developing forecasting models (3+ years if holding a PhD)
- Professional experience using both statistical methods and machine learning techniques for forecasting
- Proven track record in the full development cycle of algorithms from discovery to production
- Experience in building model pipelines and streamlining analysis processes
- Demonstrated experience in guiding junior colleagues and organizing educational initiatives
- Experience communicating technical results to non-technical stakeholders
Languages
Additional
- Hybrid working model (up to 60% remote); Relocation assistance available subject to prior agreement.
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