Greenhouse ·
full-timeData Scientist II, Applied ML
Brex · San Francisco, California, United States
Brex is an intelligent finance platform that provides corporate cards, banking, and spend management software to global businesses. As a Data Scientist II specializing in Applied ML, you will be responsible for the full machine learning lifecycle, from identifying business problems to designing, training, and deploying models into production. Your daily work will involve collaborating with cross-functional teams such as engineering, product, fraud, and compliance to build AI-native solutions that manage risk and enhance the customer experience. You will be expected to own projects end-to-end, including the productionization of models and the subsequent monitoring of their business impact. This role is well-suited for candidates with at least three years of experience in data science or machine learning, or those with a PhD in a quantitative field. Success in this position requires strong proficiency in Python and SQL, a solid understanding of statistical techniques like A/B testing, and the ability to integrate machine learning systems into production services. Experience in fintech, risk management, or real-time modeling is considered a significant advantage for 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 enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they 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. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. 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. 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 consumers. What You’ll Do Our Data Scientists are responsible for the entire model development lifecycle, from conception with stakeholders, through model development and productionization, to following through to see that the desired business impact is achieved — including circling back with stakeholders to make product or strategic decisions. 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. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. 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.
| Role | Data Scientist II, Applied ML |
|---|---|
| Company | Brex |
| Location | San Francisco, California, United States |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-01 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Brex
Brex is a finance software platform that provides integrated financial services and software to help businesses manage their operations. The company serves over 35,000 customers, including startups, mid-size companies, and enterprises, as well as ecommerce brands. Its platform offers a suite of tools designed to automate financial workflows, including corporate cards, expense management, bill pay, accounting automation, and banking and treasury services. By utilizing AI-powered controls and integrations, Brex aims to help organizations manage spending, automate manual tasks, and operate globally across more than 120 countries. The platform is designed to support companies through various stages of growth, from initial launch to scaling operations.
More at Brex
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