Brex

Brex

Data Scientist II, Applied ML

San Francisco, California, United States · Mid

Sponsorship not specified$152k-$190kDetected 20 days ago
PythonSQLAPI DevelopmentMachine LearningData ScienceA/B TestingAccountingResearchCommunication

Stay score

odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$110,3861 entry
Level II$142,4382 entries
Level III$174,5123 entries
Level IV$206,5654 entries

$22,512 more — $174,512 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $174,512 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

12 transfer filings in the last year, covering 12 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • 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.

Responsibilities

  • Drive Data & AI solutions from inception to deployment to efficiently manage risk and/or improve customer experience.
  • Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit).
  • 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.
  • The Data organization develops infrastructure, statistical models, and products using financial data.

Requirements

  • 3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative field
  • 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

Nice to have

  • Experience working with real-time models
  • Experience in the fintech industry
  • 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.

Skills

  • Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets.
  • Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
  • Data at Brex
  • Our Scientists and Engineers work together to make data -and insights derived from data - a core asset across the company.

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.

Benefits

  • Be responsible for the full machine learning lifecycle - problem identification, model design, training, productionization, and monitoring.

Company info

  • 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.

This listing is sourced directly from Brex's careers page and normalized into a canonical job model.