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Zalando Lounge Logo Zalando Lounge · IT - Software Development

Senior Applied Scientist

Germany, Berlin · Job Posted June 09, 2026
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Job Description

The Demand Data & Analytics, Planning, Steering, and Performance Measurement Team focuses on monitoring and analyzing the effectiveness of our online and offline marketing campaigns and broader, on creating a better understanding of our customers' development. Using all available information and building analytics products, we assess the value of each marketing campaign, as well as overall demand evolution and other variables to assess their impact on the overall business and plan a short and long term marketing strategy. As a Senior Applied Scientist, you will drive scientific research progress to find the best approaches for solving complex business problems. You will move beyond task-level execution to independently tackle ambiguous challenges, removing uncertainty in marketing budget steering through a rigorous scientific experimentation framework. Your primary mission is to establish Incrementality Testing as the ground truth for validating and calibrating Media Mix Models.

Job Responsibility

  • Innovate on MMM Architecture
  • Drive the Causal Inference & Incrementality Roadmap
  • Establish Validation Excellence
  • Master Large-Scale Data Environments
  • Bridge Science and Strategy
  • Act as an Expert of Marketing Data Science

Requirements

  • Master’s degree in a data-driven scientific field such as Statistics, Econometrics, Machine Learning or Mathematics
  • at least 5 years in a similar analytical context with comparable questions to the area of marketing measurement (MMM, incrementality testing incl. geo-testing & conversion lift studies) with a preference of a Saas/consultancy background
  • Deep understanding of Causal Inference, Bayesian statistics and experimental design methodologies
  • Professional experience in Python or R for scientific computing and advanced SQL for data extraction from Redshift
  • Ability to work backwards from customer/business problems to discover new research opportunities and explain technical results to non-experts
  • Quick Thinking and Proactive Attitude, ability to easily adapt to change and work independently

Nice to have

Familiarity with Databricks and Tableau

What we offer

  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
  • 2 paid volunteering days a year
  • Hybrid working model with up to 60% remote per week
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year to start
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available
  • Drive your development through our training platform and biannual peer-to-peer review
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