Applied Scientist – Marketing & Personalization

• Build and own personalization systems: develop recommendation models (content-based, collaborative filtering, ranking) that directly shape what customers see in emails and push notifications
• Drive predictive modeling
• lead CLV prediction, churn and other propensity models that turn complex data into actionable strategies for our Marketing teams
• Design rigorous experiments: own A/B tests and incrementality experiments to measure the true causal impact of CRM campaigns and personalization initiatives on revenue and long-term customer value
• Integrate science into production: partner with Engineering to bring models into production, defining feature stores, data pipelines and monitoring frameworks
• Bridge science and business: translate model results and their limitations into clear, structured insights that influence campaign and personalization roadmaps
• Elevate the team: actively participate in code reviews, share ideas in a culture of open collaboration, mentor peers and be mentored in return

• Master's degree (or equivalent) in a quantitative field such as Statistics, Data Science, Computer Science, Mathematics, Engineering or Economics
• 3–5 years of industry experience, ideally in e-commerce or digital marketing, building and shipping recommendation systems, segmentation models, propensity or predictive LTV models
• comfortable with both statistical foundations and ML techniques
• proficient in Python, SQL and PySpark (Databricks)
• understand experimentation and applied causal inference, with hands-on experience in A/B testing and incrementality testing
• enjoy communicating with non-technical stakeholders
• thrive in an environment where ideas are challenged respectfully, ownership is real, and the team's success matters as much as your own

Deep learning experience is a genuine plus

• 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, 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