Data Scientist II, Applied ML
Join Brex as a Data Scientist II to drive AI solutions and enhance customer experience through the full machine learning lifecycle.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 8 hours ago
Skills & Technologies
AI in the day-to-day
Brex’s AI-native automation eliminates manual expense and accounting tasks for customers.
Requirements
- Experience
- 3+ years
- Education
- Master's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In the role of Data Scientist II at Brex, the individual will manage the complete lifecycle of machine learning models, from initial concept through to deployment and impact assessment. Key skills include proficiency in Python, SQL, and various ML frameworks, alongside a strong foundation in statistical methods. This position is ideal for candidates with at least three years of experience in data science or a PhD in a quantitative field, particularly those with a background in fintech or risk management. Brex fosters a collaborative environment, emphasizing the integration of data-driven insights into its operations.
Joblaze insights
- Listed about a month ago — first seen on Joblaze August 22, 2026. Last confirmed on Brex's careers page October 9, 2026.
- This exact title is also open at 1 other location at Brex: San Francisco, California, United States.
- SQL appears in 67.9% of 159 comparable mid data science roles; Machine Learning appears in 20.1% of 159 comparable mid data science roles.
Quick facts
- How much experience is required?
- At least 3 years of relevant experience for this Data Scientist II, Applied ML role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Machine Learning, Python, SQL.
- What seniority level is this role?
- Brex targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Scientist II, Applied ML role at Brex.
From the original posting
Why join us
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
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.
Standard company text repeated across Brex's postings is omitted here.