Data Scientist

• Improve product recommendations in the webshop and app by analysing customer behaviour and product data
• Develop and refine recommendation models
• Engineer relevant features and apply state-of-the-art machine learning approaches
• Lead end-to-end Data Science initiatives with Product Managers, ML Engineers, Data Engineers, ML Ops, and domain experts
• Translate product questions into hypotheses and practical improvements
• Design, analyse, and interpret A/B tests
• Define success metrics and guardrails and assess statistical uncertainty
• Turn experiment results into clear product recommendations
• Contribute to data exploration, experimentation, implementation, productionizing, monitoring, and continuous improvement

• Practical experience developing machine learning models, including data preparation, feature engineering, modelling, and evaluation
• Strong Python and SQL skills
• Clear, structured, maintainable code
• Familiarity with Git, testing, and reproducible development practices
• Understanding of production model development, reproducible training, reliable data pipelines, and trade-offs between model quality, scalability, and maintainability
• Practical expertise in A/B testing and experimental design, including metric selection, statistical power, and interpreting results
• Solid understanding of recommendation systems and machine learning approaches such as collaborative filtering, ranking models, or embeddings
• Ability to work iteratively in a cross-functional product team and translate business goals into workable solutions

• Employees can work remotely
• Work from Home: arrange the place you work from individually, even for up to 20 days a year anywhere in the EU
• Individual development support through various in- and external trainings
• 30 days paid vacation per annum
• Another day off on Rosenmontag
• Option to take up to 10 days of unpaid vacation after one year working with the company
• Urban Sports Club membership (M package)
• Creative team events and regularly scheduled parties