Data Scientist II, Applied ML

Brex
San Francisco, CA
On-site

In the 12 months to 30 Jun 2026, Brex filed 1 H-1B position titled "Data Scientist II". Source: U.S. Department of Labor, LCA disclosure data. A record of filings already made, not a commitment to sponsor.

Who this role is best for

Aimed at mid-to-senior level data scientists with ML expertise who can drive end-to-end solutions and collaborate across multiple departments.

Best fit for

  • Candidates with 3+ years of ML experience and a track record of deploying models in production
    — “Demonstrated ability to own end-to-end model development, including productionization”
  • Individuals with strong Python, SQL, and ML framework skills who can integrate systems into production
    — “Strong software engineering fundamentals, including experience with API development and integrating ML systems into production services”
  • Professionals with a background in risk management or customer-facing ML systems in fintech
    — “Previous experience in the risk domain (fraud, AML, and/or credit) or building customer-facing ML models (suggestions/automations)”

Things to consider

  • The role requires a high degree of cross-functional collaboration with teams like Fraud and Compliance
    — “Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit)”
  • The compensation range is relatively high, but starting pay depends on location and internal parity
    — “The expected salary range for this role is $152,000 - $190,000 + equity”

How to stand out

  • Highlight experience with real-time model deployment and monitoring in your resume and interviews
    — “Experience working with real-time models”
  • Emphasize your ability to translate statistical insights into business impact
    — “Drive Data & AI solutions from inception to deployment to efficiently manage risk and/or improve customer experience”
  • Showcase cross-functional collaboration successes, especially with non-technical stakeholders
    — “Ability to collaborate with various stakeholders, both technical and non-technical”
  • Demonstrate expertise in statistical techniques like A/B testing and hypothesis testing
    — “Ability to apply statistical techniques such as hypothesis testing and A/B testing”
  • Demonstrate a history of full ML lifecycle ownership, not just model building
    — “Be responsible for the full machine learning lifecycle — problem identification, model design, training, productionization, and monitoring”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • drive data and AI solutions from inception to deployment
  • partner with cross-functional teams
Typical background
3+ years of experience in Data Science/ML rolesPhD in a quantitative field

Skills & requirements

Required

Data ScienceMachine LearningModel DevelopmentProductionizationAPI DevelopmentStatistical Techniques

Preferred

Real-time ModelsFintech IndustryRisk Domain ExperiencePublished Research

Stack & domain

Data ScienceMLPythonSQLAPI DevelopmentIntegrating ML SystemsHypothesis TestingA/B TestingFraudAMLCreditCustomer-facing ML ModelsFintechCommunicationCollaborationFinanceAi-native AutomationRisk ManagementCustomer Experience

About the role

Original posting from Brex

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.

Source: Brex careers

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