Questa posizione è in Klarna
Il processo di selezione sarà interamente gestito Klarna.
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What you will do -------------- We are rebuilding our fraud detection systems from the ground up, and we are looking for data scientists who want the full mandate to do it right, from raw data to production model, at a scale that affects hundreds of millions of transactions. Klarna is a big company that still moves like a startup: fast decisions, real ownership, and models that ship. We own the full stack, and expect you to build it with us to enable your use cases. If you have the curiosity to find the right problem, the grit to build the right solution, and the ambition to see it matter, this is the opportunity. Fraud is one of the most technically demanding problem spaces at Klarna. You will build best-in-class machine learning systems from the ground up, owning the complete pipeline from raw data through feature engineering, model design, training, and real-time production deployment. A central part of this role is converting some of Klarna's existing rules-based fraud systems into sophisticated, model-driven architectures that operate at scale across hundreds of millions of transactions. You will build infrastructure from scratch, not maintain or extend existing frameworks. Working with engineers, analysts, and commercial stakeholders, you will translate ambiguous business problems into precise technical solutions and bring novel approaches such as graph networks, anomaly detection, and behavioural signals into production where they create real impact. Who you are -----------
Awesome to have ---------------
Please include a CV in English. Curious to learn more about Klarna and what it’s like to work here? Explore our career site!
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Senior/Lead Data Scientist-Fraud • Milan - Italy
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