Applied Scientist - Demand Forecasting | Applied Scientist - Demand Forecast (all genders)
Zalando SE
Job Summary
As an Applied Scientist at Zalando, you will play a pivotal role in the Partner Tech team by developing and refining state-of-the-art demand forecast engines. Your day-to-day work involves the full algorithmic development cycle, from initial opportunity discovery and prototyping to productionizing solutions. You will collaborate with cross-functional teams, including product managers and engineers, to translate complex technical concepts into actionable business insights. The role requires a strong theoretical background in quantitative disciplines and a practical approach to building scalable model pipelines. You will be responsible for iterating on models, exploring new data sources, and ensuring high-quality code standards. This position is unique because it offers the opportunity to influence the scientific roadmap of a major e-commerce ecosystem while working in a diverse, inclusive, and hybrid-friendly environment that prioritizes professional growth and technical innovation.
Required Skills
Education
Master's degree or PhD in quantitative economics, statistics, mathematics, physics, operations research, or a related quantitative discipline.
Experience
- 3 years of industry experience in developing forecasting models (or 1 year with a PhD degree)
- Professional experience in applying both statistical methods and machine learning techniques
- Experience managing the full development cycle of algorithms from discovery to production
- Experience with high coding standards and participating in code reviews
Languages
Additional
- None
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