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Applied Scientist

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Zalando

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Location:
Germany , Berlin

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Marketing Science team acts as the engine behind Zalando's growth, partnering with business units across the full marketing funnel. We extend the Zalando experience beyond our platform, connecting customers with the fashion inspiration and shopping convenience they love. By leveraging cutting-edge technology, we ensure our marketing is relevant, engaging, and deeply respectful of customer privacy. We collaborate closely with product managers, engineers, and analysts to refine our industry-leading marketing engine.

Job Responsibility:

  • Rigorous Experimentation: Establishing the 'ground truth' framework for measuring marketing effectiveness
  • Advanced Modeling: Building attribution models to value touchpoints and propensity models to refine targeting
  • Audience Optimization: creating customer uplift models to identify incremental value and building audiences that improve marketing efficiency
  • Marketing Investment Optimization: Steering external advertising platforms and optimizing marketing spend to align with core business objectives
  • collaborate closely with Senior and Principal Applied Scientists within Zalando to ensure that we are making the right investment decisions when it comes to advertising channels
  • leverage elasticity modeling, forecasting, and mathematical optimization to solve for multi-objective optimization under constraints and uncertainty

Requirements:

  • Proven track record of independently tackling concrete research problems and autonomously finding a path to a simple and fast solution, before iteration
  • Have worked on Deep Learning or Linear/Mixed Integer Optimization problems
  • Advanced coding and packaging skills in Python as well as experience with common big data processing and manipulation tools such as PySpark and SQL
  • MLops experience: Deploying models to production, writing unit/integration tests, and documentation
  • Experience in supervising more junior colleagues, as well as fostering organizational knowledge sharing
  • Good communication skills to translate (even complex) analytical / engineering decisions and outcomes to both peers and a broader, non-technical audience
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 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
  • 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

Additional Information:

Job Posted:
May 11, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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