Senior Applied Scientist | Senior Applied Scientist (All Genders)

Zalando SE

Berlin, Berlin, Deutschland
Published Oct 8, 2025
Full-time
No information

Job Summary

This Senior Applied Scientist role within the Pricing, Traffic & Trading Tech organization focuses on leveraging advanced research to optimize critical commercial decisions for a major e-commerce platform. The successful candidate will lead the evolution of a bespoke experimentation platform, researching and implementing state-of-the-art causal inference and experimental design methodologies to empower robust testing across teams. A key focus area is driving voucher optimization by building sophisticated models for customer targeting and assortment selection using the experimentation platform and modelling expertise. Day-to-day work involves developing machine learning and econometric models to measure the true incremental impact of interventions, collaborating closely with ML engineers for production deployment. This position requires a strong academic background, deep expertise in experimentation, and proficiency in Python, offering the chance to champion scientific excellence and mentor junior scientists while translating theoretical advances into tangible business value.

Required Skills

Education

Strong academic background in economics, econometrics, statistics, or a STEM field (preferably PhD)

Experience

  • Strong expertise in experimentation and causal inference
  • Professional experience utilizing Python in applied contexts
  • Experience building machine learning models to solve real-world business problems
  • Experience in translating research into applications with a good balance between scientific rigor and business relevance

Languages

Not specified

Additional

  • Ability to collaborate with external stakeholders and clearly communicate results to diverse technical and non-technical audiences; Self-driven, intrinsic motivation for result implementation (action orientation)