Senior Data Scientist
Il y a 3 jours
Arrondissement of BrusselsCapital, Brussels, Belgique
NEBIRU
Temps plein
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Gratuit avec email ou Google
ppbLooking to start a new challenge as a freelancer? Get in touch now. /b /p /brh3What you will do /h3 /brul /brliDevelop and continuously improve fraud detection models using machine learning, anomaly detection, graph analytics and behavioural analytics. /li /brliTransform large-scale transactional and customer data into actionable fraud intelligence. /li /brliLead feature engineering, data enrichment, data quality and dataset preparation for fraud analytics. /li /brliAnalyse complex fraud patterns, emerging attack vectors and suspicious networks to identify new detection opportunities. /li /brliDesign analytical solutions that can operate reliably at scale and contribute to production AI applications. /li /brliPartner with Fraud Operations, Risk, Compliance and Product stakeholders to translate business challenges into effective data-driven solutions. /li /brliInvestigate model performance and continuously improve detection accuracy while considering operational impact and business value. /li /brliContribute to the evolution of fraud analytics practices, methodologies and technical standards. /li /br /ul /brh3What you bring /h3 /brul /brli7+ years of professional Data Science experience, with significant experience in fraud detection, fraud analytics or a closely related domain. /li /brliStrong hands‑on Python and SQL skills, including experience with Pandas and large-scale data processing. /li /brliProven experience working with Spark or other distributed data‑processing technologies. /li /brliStrong knowledge of supervised and unsupervised machine learning, anomaly detection and predictive modelling. /li /brliPractical experience with graph analytics, network analysis or behavioural analytics applied to fraud or risk problems. /li /brliDemonstrated ability to turn complex, high-volume data into robust analytical and ML solutions. /li /brliExperience taking data science solutions towards production, working with software engineering and/or ML engineering teams. /li /brliA proactive, autonomous and business-oriented approach. /li /br /ul /p