Senior Data Scientist, Applied AI
Brex (View all Jobs)
São Paulo, São Paulo, Brazil
Interview Process
1. Practical questions - 1 hour technical 2. Then 4-5 hour onsite. System design, Coding, values, debugging
Programming Languages Mentioned
Python
Why join us
Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.
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.
Engineering at Brex
The Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for both internal and external users. We have multiple autonomous and collaborative teams who are eager to learn, teach, and constantly improve how things work. Together, we strive to build robust and scalable systems that enable Brex to grow rapidly and help our customers reach their full potential.
Applied AI at Brex
As part of Brex’s AI team, Applied AI leverages cutting-edge AI/ML techniques to empower automation solutions in Brex’s spend management offering, working closely with Product, Design, and Engineering teams.
What you’ll do
The Applied AI team drives for a more streamlined experience for our customers via AI/ML automations. We are looking for a strong Data Scientist to join our nimble and effective team. You will be responsible for the full cycle of work from ideation, research, and development to production and further improvements, working both strategically and tactically with cross-functional stakeholders to balance priority and delivery.
Responsibilities
- Design and implement spend management related solutions with ML and AI techniques
- Partner closely with Product Managers, Designers, and Engineers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process
- Consult and educate internal teams on current and up-and-coming research, technologies, and best practices of leveraging ML and LLM in product design and development
- Work closely with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering
Requirements
- 4+ years of industry experience developing optimization models that drive business impact
- Passion for delivering data-driven solutions leveraging data, ML, and AI
- M.S. or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field
- Familiarity with programming languages (e.g. Python) and machine learning libraries (e.g. SciKit Learn)
- Deep understanding of natural language processing techniques
- Experience in overall big data analysis and system-backed integration with ML/LLM system/solution
- Good understanding of quantitative disciplines such as statistics, machine learning, operations research, and causal inference
- Experience productionizing and A/B testing different machine learning models
- English proficiency/fluency, both written and speaking (note: interviews will be conducted in English)
- Must be willing to work in office 2 days per week on Wednesday and Thursday, starting September 1st, 2025 when we open our Sao Paulo office
Bonus points
- Experience leveraging commercial or open source LLM APIs to build solutions, such as OpenAI or llama
- Experience in the finance industry
Location
- Must be working in Brazil at the start of role
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.
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