Data Scientist (Applied Machine Learning)

Join Brex, a leading financial technology company, as a Data Scientist specializing in Applied Machine Learning. In this role, you will drive data and AI solutions from inception to deployment, manage the full machine learning lifecycle, and collaborate with cross-functional teams. You will have the opportunity to make a significant impact on the company's decision-making process, operations efficiency, risk management policies, and customer experience.

- Conduire des solutions de données et d'IA de l'inception au déploiement pour gérer efficacement les risques et/ou améliorer l'expérience client. - Être responsable de l'ensemble du cycle de vie de l'apprentissage automatique, de l'identification du problème à la production. - Collaborer avec des équipes interfonctionnelles (Opérations, Ingénierie, Produit, Fraude, Conformité, Crédit).

- Expertise in Python programming, SQL queries, and ML-related frameworks - Strong software engineering fundamentals, including experience with API development and integrating ML systems into production services - Strong communication skills and the ability to collaborate with various stakeholders, both technical and non-technical - Demonstrated ability to own end-to-end model development, including productionization - Ability to apply statistical techniques such as hypothesis testing and A/B testing, and to approach problems with a statistical mindset - 3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative field - Experience working with real-time models - Advanced degree (MSc/PhD) or published research in Machine Learning or a related field - Previous experience in the risk domain (fraud, AML, and/or credit) or building customer-facing ML models (suggestions/automations) - Experience in the fintech industry