Data Scientist

About the role

Join our team as a Data Scientist, where you'll play a crucial role in measuring, understanding, and improving the performance of our risk strategies. You'll work directly with clients to address their unique fraud challenges, prototype models, and build scalable solutions using machine learning and graph analytics. This hands-on role is ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk. Enjoy a remote-first culture, generous equity compensation, and unlimited paid time off. Key missions: Concevoir et déployer des solutions basées sur les données pour améliorer les stratégies de gestion des risques et prévenir la fraude.. Collaborer avec les clients pour comprendre leurs défis en matière de fraude, prototyper rapidement des modèles et construire des solutions évolutives.. Analyser des ensembles de données complexes, concevoir des métriques, construire des tableaux de bord et collaborer avec les parties prenantes pour optimiser les résultats. Profile: - Proficiency in defining, tracking, and communicating performance metrics - Sharp critical thinking and creative problem-solving skills with a bias toward action - 7+ years of experience in data science, quantitative modeling, or a data-focused role (product analytics, business analytics) with demonstrated high impact in fraud or risk contexts - Strong hands-on experience with Python/R and SQL is essential, with Spark being a nice to have - Proven ability to structure and analyze complex data using techniques like EDA and cohort analysis, and communicate findings effectively to both technical and non-technical audiences, including clients - Expertise in BI tools such as Tableau, Sigma, or Metabase