Data Scientist II, Applied ML

Brex·San Francisco, California, United Statesmid$12,667–$15,833 USD/mo

En corto

→Científico de datos aplicado que desarrolla modelos de ML desde la idea hasta producción en fintech.
→Trabajas con equipos de producto, fraude, crédito y engineering para mitigar riesgos y mejorar la experiencia del cliente.
→Destacado: El rol implica producción y seguimiento de modelos con impacto real en decisiones empresariales.

Strong communication skills in English are required

✓ Gratis para empezar✓ Corre en tu navegador✓ Primer dossier sin tarjeta✓ Listo en ~1 minuto

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Tu primer dossier es gratis.

Las preguntas que te van a hacer

1. ¿Cómo has producido un modelo de ML con impacto medible en un entorno productivo?

🔒 +7 preguntas más

Sin tarjeta. Subís tu CV y en ~1 minuto tenés el dossier completo.

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💵 USD · Remote · No visa

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¿Qué piden?

✓3+ años en ciencia de datos/ML o 2+ con PhD en campo cuantitativo
✓Experiencia comprobada en ciclo completo de modelos (desde diseño hasta producción)
✓Dominio de Python, SQL y marcos de ML
✓Capacidad para aplicar pruebas estadísticas y A/B testing
✓Fundamentos sólidos en ingeniería de software, incluyendo APIs y sistemas de ML
✓Habilidades de comunicación con stakeholders técnicos y no técnicos

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonSQLML frameworksAPI developmentProduction ML systemsStatistical modelingA/B testingHypothesis testingReal-time modelsRisk domain (fraud, AML, credi

¿A quién escribirle en Brex?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 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. Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers

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