Data Scientist II, Applied ML

We're looking for a Data Scientist II, Applied ML to join our team at Brex. As a Data Scientist at Brex, you will be responsible for driving data and AI solutions from inception to deployment to efficiently manage risk and/or improve customer experience.

Responsibilities:

• Drive Data & AI solutions from inception to deployment to efficiently manage risk and/or improve customer experience.
• Be responsible for the full machine learning lifecycle , problem identification, model design, training, productionization, and monitoring.
• Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit).

Requirements:

• 3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative field.
• Demonstrated ability to own end-to-end model development, including productionization.
• Expertise in Python programming, SQL queries, and ML-related frameworks.
• Ability to apply statistical techniques such as hypothesis testing and A/B testing, and to approach problems with a statistical mindset.
• 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.

Nice to Have:

• 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.

Compensation: The expected salary range for this role is $152,000 - $190,000 + equity.