{"id":1660077,"url":"https://alion.io/job/brex-data-scientist-ii-applied-ml-2","title":"Data Scientist II, Applied ML","company":{"id":18232,"name":"Brex","domain":"brex.com","url":"https://alion.io/company/brex","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":73,"ghost_share":0,"stale_share":0.781,"repost_share":0,"time_to_fill_p50_days":57,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","São Paulo, Brazil"],"countries":["US","BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":152000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-01T18:14:03Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-14T02:03:05Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Why join us\nBrex 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.\nWorking 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.\nData at Brex\nThe 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.\nWhat You’ll Do\nOur 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.\nResponsibilities\nDrive Data & AI solutions from inception to deployment to efficiently manage risk and/or improve customer experience.\nBe responsible for the full machine learning lifecycle - problem identification, model design, training, productionization, and monitoring.\nPartner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit).\nRequirements\n3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative field\nDemonstrated ability to own end-to-end model development, including productionization\nExpertise in Python programming, SQL queries, and ML-related frameworks\nAbility to apply statistical techniques such as hypothesis testing and A/B testing, and to approach problems with a statistical mindset\nStrong software engineering fundamentals, including experience with API development and integrating ML systems into production services\nStrong communication skills and the ability to collaborate with various stakeholders, both technical and non-technical\nNice to Have\nExperience working with real-time models\nAdvanced degree (MSc/PhD) or published research in Machine Learning or a related field\nPrevious experience in the risk domain (fraud, AML, and/or credit) or building customer-facing ML models (suggestions/automations)\nExperience in the fintech industry\nCompensation\nThe 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. \nBrex LLC is a wholly owned subsidiary of Capital One, N.A.\nPlease 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. 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