Data Scientist (Applied Machine Learning)

The Data organization develops infrastructure, statistical models, and products using financial data. Our Scientists and Engineers work together to make data -and insights derived from data - a core asset across the company. Our work is ingrained in Brex's decision-making process, in the efficiency of our operations, in our risk management policies, and in the second-to-none experience we provide our consumersDrive Data & AI solutions from inception to deployment to efficiently manage risk and/or improve customer experienceBe responsible for the full machine learning lifecycle - problem identification, model design, training, productionization, and monitoringPartner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit)BenefitsMedical, dental & visionGenerous vacationSpring Health & CalmYear-end company shutdownMilk Stork for nursing parentsIn-office days, lunches & offsitesCommuter benefits4 fully remote weeksCarrot Fertility benefitsGenerous parental leaveExpertise in Python programming, SQL queries, and ML-related frameworksStrong software engineering fundamentals, including experience with API development and integrating ML systems into production servicesStrong communication skills and the ability to collaborate with various stakeholders, both technical and non-technicalDemonstrated ability to own end-to-end model development, including productionizationAbility to apply statistical techniques such as hypothesis testing and A/B testing, and to approach problems with a statistical mindset3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative fieldExperience working with real-time modelsAdvanced degree (MSc/PhD) or published research in Machine Learning or a related fieldPrevious experience in the risk domain (fraud, AML, and/or credit) or building customer-facing ML models (suggestions/automations)Experience in the fintech industry#J-18808-Ljbffr