Who we are

As a leading e-commerce platform, with over 3,000 employees in Switzerland, Germany, and Serbia, we are expanding into new markets. Our driving force is the desire to constantly rethink the existing. Therefore, we are looking for people who work with passion to truly improve things. With us, you will find the freedom and trust to act independently, grow with us and be yourself. Act galactically. And stay you.

As a Data Scientist, you will be part of the Analytics & Data Science team in the online shop area, working closely with another data scientist, an analyst, and the product team on product recommendations. Together you will continuously and proactively develop the relevance of recommendations throughout the shop. You will tackle a variety of challenges in the recommendation area, e.g., similar products, accessories, list rankings, and product notifications. Your work will have a direct impact on how customers discover products and interact with the shop.

Your tasks

• Develop robust machine learning solutions in close collaboration with product teams, including deployment and operation on our platform.
• Increase user interaction by optimizing existing and building new recommender systems for the product content type.
• Continuously improve recommender systems by analyzing interaction data from millions of users and communicating insights clearly.
• Validate improvements by defining success criteria and analytical frameworks together with product and analytics teams.
• Develop machine learning strategies by aligning product goals with data science solutions in close collaboration with the product team.

Your skills

• University degree in data science or a related field and at least 2 years of relevant professional experience, ideally with practical experience in recommender systems, search, or information retrieval.
• Very good programming knowledge and experience with machine learning libraries like PyTorch, TensorFlow, and scikit-learn.
• Solid knowledge in statistics and experimentation, including defining success criteria and analytical frameworks.
• Experience working with large data sets, including advanced SQL skills and experience with database systems (e.g., BigQuery) for analyzing user interactions.
• Experience in MLOps, especially in deploying and operating machine learning models in production, e.g., with orchestration tools like Airflow.
• Strong communication skills and a proactive, independent working style for effective collaboration with product and cross-functional teams. You should be able to communicate your results understandably and concisely to different stakeholder groups.
• Willingness to challenge the status quo and propose more efficient, automated, or effective solutions.
• The ability to adapt to continuous changes in the work environment.
• Fluent in German and good English skills.

Why start with us?

• Values instead of buzzwords: Cooperative, innovative, pirate-like, responsible, ambitious – these five values we demand and live by.
• Brave independent thinking: We encourage everyone to think for themselves and actively contribute. We love it when you think bravely, new, and different.
• Uncomplicated: We avoid unnecessary things and focus on what matters. From mastering challenges to celebrating our successes.
• Flexibility instead of bending: In addition to home office opportunities, we offer you up to 8 weeks of workation. Every position can also be structured at 80% capacity.
• Rapid growth: With us, you will continuously grow and develop. You will receive 2000 EDU points for your further education so you don’t stand still.
• Modern: You can work daily with the latest technologies, see our tech radar.
• More than just work: Take part in our various employee events like hackathons, hiking, skiing, barbecuing on the Limmat, LAN parties, or Friday night drinks, and get involved in our tech blog if you wish.
• Other benefits: Profit from 25 vacation days, exclusive employee discounts in the shop, mobile, internet, and TV subscriptions at company rates, and more advantages.
• Diversity is our culture. To build the best team, we are open to people from all backgrounds. This means: everyone has the same chances with us. Background, religion, disability, gender identity, sexual orientation, and age do not matter. For us, inclusion means that everyone is welcome and every contribution is valuable.