Applied ML Scientist II: End-to-End Model Development

Neobankbeat; San Francisco (CA); On-site; USD 152,000 - 190,000; Full time

Job summary

Brex, a leading intelligent finance platform, seeks a Data Scientist II in San Francisco to own the end-to-end ML lifecycle—from problem framing with stakeholders to production deployment and monitoring. You will collaborate with Ops, Engineering, Product, Fraud, Compliance, and Credit to deliver impactful AI solutions that reduce risk and improve customer experiences.

The role emphasizes strong Python/SQL, ML frameworks, and API integration, with opportunities to influence product strategy and

Qualifications

• 3+ years in Data Science/ML roles, or 2+ years with a PhD in a quantitative field.
• End-to-end model development including productionization.
• Strong Python and SQL demonstrated.
• Statistical mindset with hypothesis testing and A/B testing.
• Strong software engineering basics and API integration.
• Excellent collaboration and communication.

Responsibilities

• Drive AI solutions from inception to deployment.
• Own full ML lifecycle from problem definition to production monitoring.
• Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit).

Skills

Python

SQL

ML frameworks

Hypothesis testing

A/B testing

API development

Software engineering

Stakeholder communication

Education

PhD in quantitative field

MSc/PhD in ML

Tools

APIs

Production systems

Job description

Brex, a leading intelligent finance platform, seeks a Data Scientist II in San Francisco to own the end-to-end ML lifecycle—from problem framing with stakeholders to production deployment and monitoring. You will collaborate with Ops, Engineering, Product, Fraud, Compliance, and Credit to deliver impactful AI solutions that reduce risk and improve customer experiences.

The role emphasizes strong Python/SQL, ML frameworks, and API integration, with opportunities to influence product strategy and