--- title: 'Data Scientist II, Applied ML at Brex' canonical: 'https://feeny.ai/job/data-scientist-ii-applied-ml-brex-sao-paulo-sao-paulo-4gvnfk2jp4dz' type: 'job' last_seen: '2026-09-11' --- # Data Scientist II, Applied ML at Brex - **Company:** Brex - **Location:** São Paulo São Paulo, Brazil - **Posted:** 2026-08-21 - **Last confirmed live:** 2026-09-11 - **Apply:** https://www.brex.com/careers/8735070002?gh_jid=8735070002 ## Job description ## 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 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](http://brex.com/) domain. Any outreach claiming to be from Brex via other sources should be ignored. ## About Brex ## Company Overview - **One-liner**: Brex provides a modern finance platform combining corporate cards, expense management, travel booking, banking, and treasury services, all powered by AI-driven automation. - **Entity Type**: Private (backed by venture capital; last known Series D3 at $12.3B valuation in 2022) - **Headquarters**: San Francisco, California, United States - **Founded**: 2017 - **Founders**: Henrique Dubugras and Pedro Franceschi ## Core Business - Primary industry/industries: Financial technology (fintech) – specifically spend management, corporate cards, expense automation, and business banking. - Target customers: B2B – startups, mid-size companies, and enterprises; over 35,000 companies use Brex. - Mission/purpose statement: "Empower employees anywhere to make better financial decisions." ## Products & Services - **Corporate Cards**: Physical and virtual corporate cards with built-in spend controls, real-time budgets, and cash back/rewards. - **Expense Management**: AI-powered automation for receipts, expense reports, and approvals; integrates with ERP systems. - **Travel**: In-app global travel booking and management with policy enforcement. - **Bill Pay**: Automated invoice entry, approval workflows, and vendor payments. - **Banking & Treasury**: Business cash accounts with up to 4.36% yield, same-day liquidity, and up to $6M in additional FDIC insurance. ## Market Standing - **Valuation/Market Cap**: $12.3 billion (Series D3, 2022 – recent valuation not disclosed; may have changed) - **Key Metric**: Over 35,000 businesses use Brex (source: brex.com). Total funding exceeds $1.5 billion (publicly reported, not detailed in provided sources). - **Notable Investors/Partners**: Greenoaks, IVP, Tiger Global, Y Combinator, Kleiner Perkins, DST Global, Max Levchin, Peter Thiel, Lone Pine Capital, Ribbit Capital. - **Growth Signals**: Named #2 on Fast Company’s 2023 Top 50 Disruptors; expanding AI-driven finance automation; 756 hours average time saved per year for customers; 71% of expenses prepared on Brex handled entirely by automation. ## Competitive Advantages - **All-in-one platform**: Combines cards, expense management, travel, bill pay, and banking in a single stack – reducing the need for multiple vendors. - **AI-powered automation**: Uses AI to automate receipt capture, expense categorization, approval workflows, and GL coding, enabling faster close. - **Higher credit limits**: Offers up to 30x higher credit limits compared to traditional providers. - **Founder-centric culture**: Over 100 Brex alumni have started their own companies (4x industry average), signaling a culture that breeds entrepreneurship. ## Strategic Focus - **AI-first finance**: Continually investing in AI to eliminate manual work (e.g., AI expense assistant, invoice automation). - **Global expansion**: In-app global travel and multi-entity support for international teams. - **Enterprise penetration**: Deepening ERP integrations, procurement flows, and vendor-specific card controls for mid-market and enterprise clients. - **Cash management innovation**: Offering competitive treasury yields to attract and retain deposits. ## Why Work Here - **Culture**: Emphasizes “Be the founder of your career” – hires people with “grit, autonomy, and ambition” and supports rapid growth. Values include Growth Mindset, Ownership, Customer Obsession, and One Brex. - **Remote-first**: Committed to remote-first work, with in-office days/offsets for connection and up to 4 fully remote weeks per year. Employees can optimize time and location. - **Benefits**: Generous parental leave, Carrot Fertility, Milk Stork, medical/dental/vision, Spring Health (mental health), Calm app, generous vacation, and year-end company shutdown. - **Headcount**: ~800 employees (Built In), 501–1,000 range (The Muse) with 7 offices globally. - **Engineering focus**: Strong engineering culture visible through “Building Brex” blog and emphasis on automation and AI. ## Sources 1. [brex.com](https://www.brex.com/careers) 2. [brex.com](https://www.brex.com/about) 3. [brex.com](https://www.brex.com/index) 4. [builtin.com](https://builtin.com/company/brex/faq/workplace-perception) 5. 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