Data Scientist, Brex

• 4+ years of experience in Data Science/ML roles
• Expertise with Python programming, SQL queries, and ML-related frameworks
• Previous experience in the Risk domain (Fraud, AML, and/or Credit)
• Strong communication and interpersonal skills

Desirable

• The Risk Data Science team leverages data and AI to manage financial risk (fraud, money laundering, and credit), striking a balance between mitigating those risks and creating a positive experience for our customers
• Our Data Scientists are responsible for the entire model development lifecycle from conception with stakeholders, developing the model in a notebook, putting it into production, and circling back with stakeholders to make product or strategic decisions
• Drive Data & AI solutions from inception to deployment to efficiently manage risk
• Be responsible for the full machine learning lifecycle: data acquisition, model design, training, productionization, and monitoring
• Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit)