Senior Applied Scientist - Demand Forecasting | Senior Applied Scientist - Assortment Demand Forecast (all genders)
Zalando SE
Job Summary
As a Senior Applied Scientist, you will play a pivotal role in refining Zalando's article demand forecast engine. Your day-to-day responsibilities involve conceptualizing, prototyping, and productionizing state-of-the-art forecasting solutions while managing the entire algorithmic development cycle. You will collaborate with cross-functional teams, including product managers and engineers, to translate complex technical results into actionable business insights. A key aspect of this role is mentoring junior scientists and fostering a culture of continuous learning and high engineering standards. The ideal candidate possesses a strong background in statistics, econometrics, and machine learning, with a focus on delivering scalable, production-ready models. This position is unique as it offers the opportunity to drive the scientific roadmap for a major e-commerce ecosystem, balancing advanced theoretical methodologies with practical, real-world business impact in a diverse and inclusive environment.
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 using statistical and machine learning techniques
- 3 years of industry experience in forecasting models for candidates holding a PhD
- Professional experience in end-to-end algorithm development cycles
- Demonstrated experience in mentoring and guiding junior colleagues
Languages
Additional
- Relocation assistance available; Hybrid working model with up to 60% remote work; Work from abroad for up to 30 days per year.
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