Applied Scientist - Demand Forecasting | Applied Scientist - Demand Forecast (all genders)

Zalando SE

Berlin, Berlin, Deutschland
Published Apr 22, 2026
Full-time
No information

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

English (Basic)

Additional

  • None