(Senior) Data Scientist - Online Shop Area

As a Data Scientist, you are part of the Analytics & Data Science team within our online shop area. You work closely with the responsible product team to optimize the relevance of real-time recommendations on the homepage across different content types. In addition, you develop models for editorial content recommendations across the shop. This work directly influences how customers dynamically discover and engage with content across our platform., * Deliver robust machine learning solutions by collaborating closely with product teams to bring them into production and maintaining them on our platform

• Drive user engagement by optimizing existing and building new recommender systems for different content types, such as editorial content, community, etc.
• Ensure continuous improvement of our recommender systems by generating and clearly communicating insights from the analysis of interaction data of millions of users
• Validate the impact of improvements by defining success criteria and analytical frameworks together with product and analytics teams
• Shape impactful machine learning strategies by aligning product goals with data science solutions in close collaboration with the product team, * Values, not empty words: Cooperative, innovative, piratesque, responsible, ambitious - these five values are what we practise and preach.
• Courageous thinking: We encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas.
• Uncomplicated approach: Simplicity is at our core. We avoid the unnecessary and focus on what really matters - from overcoming challenges to celebrating our shared successes.
• Flexibility and freedom: We offer working-from-home options, up to 8 weeks of workation, and every position is possible with an 80% workload.
• Rapid growth: With us, growth is a continuous journey. We also support you with 2'000 EDU-Points per year for your professional development so there's no risk of you getting stuck in a rut.
• More benefits: 25 days of holiday, exclusive employee conditions in our online shop, mobile, internet and TV plans at company rates and many other benefits.

• Higher education in data science or a related field, with at least 3 years of experience, including hands-on work on recommender systems
• Advanced Python proficiency, with experience using machine learning libraries such as PyTorch, TensorFlow, and scikit-learn
• Ability to work with large-scale datasets, including advanced knowledge of SQL and database systems (e.g. BigQuery) to analyze user interactions and derive insights
• Experience with MLOps, including deploying and operating machine learning models in production, using orchestration tools such as Airflow
• Solid understanding of statistics and experimentation, including defining success criteria and analytical frameworks
• Strong communication skills and a proactive, ownership-driven mindset, enabling effective collaboration with product and cross-functional teams