Senior Data Scientist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8f9itk

Overview In this second-line role, you validate fraud models used to protect payments, logins, and identity at Klarna. You’ll reproduce results, stress-test methodologies, and ensure governance and production readiness across the full model lifecycle. You work closely with first-line teams to surface risks and maintain model trust at scale. You’ll shape validation tooling and agentic AI workflows to keep validation pace with rapid development. This is a mission-driven opportunity to strengthen fraud defenses at a large, data-driven fintech. Retribuzione / Benefits * competitive compensation * hybrid/onsite work (2–3 days in office) * diverse, inclusive culture * opportunity to work with cutting-edge AI * impactful role in safeguarding payments * career growth and cross-team collaboration Responsabilità * Assess model performance using fraud-specific metrics and balance business trade-offs * Review large transaction datasets and feature pipelines for representativeness and leakage * Evaluate drift detection, retraining strategies,



and production monitoring * Assess CI/CD and deployment controls (Docker, Jenkins, AWS) for model environments * Evaluate governance documentation, explainability, and regulatory compliance * Validate emerging techniques (graph networks, anomaly detection, GenAI-based systems) and document risks * Communicate validation outcomes and risks to data scientists, ML engineers, and stakeholders Requisiti fondamentali * 3+ years hands-on fraud modeling * Fluency in Python and SQL; experience with PySpark or Spark * Experience with tree-based models (LightGBM), anomaly detection, graph/network models * Experience across ML lifecycle from feature engineering to deployment and monitoring * Ability to explain complex models and communicate to non-technical stakeholders * Knowledge of model risk governance, bias, fairness, and privacy considerations * Experience building or validating agentic AI workflows * Premio: advanced degree in quantitative field;

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8f9itk