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Data Scientist II, Applied ML

Join Brex as a Data Scientist II to drive AI solutions and enhance customer experience in a dynamic finance platform.

Location
San Francisco, California, United States
Compensation
$152k–$190k/yr
Level
mid
Type
full time

Posted by employer 1 day ago

First seen on Joblaze 3 hours ago

Last verified on the company career page 3 hours ago

Skills & Technologies

What you'll build

  • Drive Data & AI solutions from inception to deployment
  • Own end-to-end model development
  • Partner with cross-functional teams

Must have

  • 3+ years of experience in Data Science/ML roles
  • Expertise in Python programming
  • Ability to apply statistical techniques

Nice to have

  • Experience working with real-time models
  • Advanced degree or published research in Machine Learning
  • Previous experience in the risk domain

AI in the day-to-day

Brex’s AI-native automation eliminates manual expense and accounting tasks for customers.

Requirements

Experience
3+ years
Education
No formal education required

Not disclosed in this posting: work arrangement, visa sponsorship.

Benefits

Equity/Stock Options

Joblaze summary

In this role, the Data Scientist II at Brex 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 machine learning frameworks, along with a strong foundation in statistical techniques and software engineering. This position is ideal for candidates with at least three years of experience in data science or a related field, particularly those with a background in risk management or fintech. Brex emphasizes collaboration across teams, integrating data insights into their operational and strategic decisions.

Joblaze insights

  • Listed today — first seen on Joblaze October 3, 2026. Last confirmed on Brex's careers page October 3, 2026.
  • This exact title is also open at 1 other location at Brex: São Paulo, São Paulo, Brazil.
  • Salary band is below the typical range for Data Science roles (median ~$172,000).
  • Starts above 79% of 28 comparable mid data science roles in United States that list SQL we track (median $124,350 across 19 companies). See SQL salary trends
  • SQL appears in 75.8% of 66 comparable mid data science roles in United States; Machine Learning appears in 15.2% of 66 comparable mid data science roles in United States.

Quick facts

What's the salary range?
Brex lists $152,000–$190,000 for this role.
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

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.

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.

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