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Catawiki is a curated marketplace for buying and selling special objects, with over 100,000 unique items auctioned weekly and 25+ million objects sold to date. The company operates a data-driven platform generating billions of events daily across millions of users.
As a Machine Learning Data Scientist on the Data Team, you will own the full lifecycle of machine learning projects—from discovery through production deployment. Your responsibilities include:
• Building production-ready ML models using advanced data science techniques, writing robust and scalable Python code
• Exploring Catawiki's extensive mobile and web data to identify ML opportunities and apply machine learning and statistical methods to real-world business problems
• Collaborating with product owners, developers, UX designers, and business analysts to identify improvements and new ML use cases
• Deploying scalable models on Kubernetes cloud infrastructure, producing real-time, asynchronous, and batch predictions
• Communicating model insights and recommendations effectively to non-technical stakeholders
You will bring 3+ years of hands-on data science experience, with demonstrated expertise in deploying ML models to production at scale. You have a strong quantitative background (statistics, ML, sciences), are fluent in Python and SQL, and understand standard ML techniques deeply. Experience with Google Cloud Platform, Kubernetes, recommender systems, PyTorch, Kafka, or CI/CD pipelines is a plus. Above all, you are pragmatic yet thorough—comfortable diving into model internals while also thinking strategically about business impact.
