Data Scientist II, Applied ML
Brex · San Francisco, California, United States
About this role
**Why join us** Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex helps founders and finance teams accelerate operations, gain real-time visibility, and control spend. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks so customers can focus on what matters most. Tens of thousands of the world’s best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. **Data at Brex** 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, powering decision-making, operational efficiency, risk management, and customer experience. **What you’ll do** As a Data Scientist, you’ll own the full model development lifecycle—from conception with stakeholders, through model development and productionization, to ensuring the desired business impact is achieved (including circling back with stakeholders for product or strategic decisions). **Responsibilities** - Drive Data & AI solutions from inception to deployment to efficiently manage risk and/or improve customer experience. - Own 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, SQL, and ML-related frameworks. - Ability to apply statistical techniques (e.g., hypothesis testing, A/B testing) with a statistical mindset. - Strong software engineering fundamentals, including API development and integrating ML systems into production services. - Strong communication skills and ability to collaborate with technical and non-technical stakeholders. **Nice to have** - Experience working with real-time models. - Advanced degree (MSc/PhD) or published research in Machine Learning (or related field). - Experience in risk domains (fraud, AML, and/or credit) or building customer-facing ML models (suggestions/automations). - Experience in fintech. **Compensation** Expected salary range: **$152,000 - $190,000 + equity**. Starting base pay depends on factors including location, skills, experience, market demands, and internal pay parity. Brex LLC is a wholly owned subsidiary of Capital One, N.A. *Security note:* Please be aware job-seekers may be targeted by malicious actors. Brex recruiters will only reach out via **LinkedIn** or email with a **brex.com** domain. Any outreach claiming to be from Brex via other sources should be ignored.
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