Data Scientist II, Applied ML
At a glance
Mid-level AI Research role at Brex. San Francisco · $152,000–$190,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Take data and AI work from initial problem framing through launch to reduce risk or improve customer experience
- Handle each model stage, from defining the problem and training through deployment and ongoing monitoring
- Work with operations, engineering, product, fraud, compliance and credit teams on data science projects
- Check whether models deliver the intended business results and revisit decisions with stakeholders
What you bring
- At least three years in data science or machine learning, or two years plus a quantitative-field PhD
- A track record of taking models through development and into production
- Strong Python, SQL and machine learning framework skills, plus statistical methods such as hypothesis and A/B testing
- Software engineering experience that includes API work and connecting machine learning systems to production services
Who this fits
This mid-level role suits someone who can carry machine learning work through deployment and collaborate with both technical and non-technical partners. The position is based in San Francisco.
From the employer
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.