数据科学家 II，应用机器学习
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Data Scientist II, Applied MLBrex · São Paulo, São Paulo, 巴西
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职位描述
机器翻译为什么加入我们
Brex 是智能金融平台，帮助企业在 200 多个市场中更明智地支出、更快速地行动。通过将全球企业卡和银行服务与直观的支出管理、账单支付和差旅软件相结合，Brex 帮助创始人和财务团队加速运营、获得实时可见性，并轻松控制支出。Brex 的 AI 原生自动化和世界级服务为客户消除了手动费用和会计任务，让他们能够专注于最重要的事情。数以万计的世界顶级公司都在使用 Brex，包括 DoorDash、Coinbase、Robinhood、Zoom、Plaid、Reddit 和 SeatGeek。
在 Brex 工作，你可以突破自己的极限、挑战现状，并与业内最聪明的人才合作。我们致力于打造多元化的团队和包容的文化，并相信你的潜力只应受限于你的梦想有多大。我们通过为你提供职业成长所需的工具、资源和支持，让这一切成为现实。
Brex 的数据团队
数据组织利用金融数据开发基础设施、统计模型和产品。我们的科学家和工程师共同协作，使数据——以及从数据中得出的洞察——成为整个公司的核心资产。我们的工作深深融入 Brex 的决策流程、运营效率、i
岗位职责
我们的数据科学家负责整个模型开发生命周期，从与利益相关者一起构思，到模型开发和产品化，再到持续跟进以确保实现预期的业务影响——包括与利益相关者回头沟通，以做出产品或战略决策。
• 推动数据与 AI 解决方案从构想到部署，以高效管理风险和/或改善客户体验。
• 负责完整的机器学习生命周期——问题识别、模型设计、训练、产品化和监控。
• 与跨职能团队（运营、工程、产品、欺诈、合规和信贷）合作。
任职要求
• 3 年以上数据科学/机器学习岗位经验，或 2 年以上经验并拥有定量领域博士学位
• 已证明具备端到端负责模型开发的能力，包括产品化
• 精通 Python 编程、SQL 查询和机器学习相关框架
• 能够应用假设检验和 A/B 测试等统计技术，并以统计思维处理问题
• 扎实的软件工程基础，包括 API 开发以及将机器学习系统集成到生产服务中的经验
• 出色的沟通能力，以及与技术和非技术等各类利益相关者协作的能力
加分项
• 机器学习或相关领域的高级学位（硕士/博士）或已发表研究
• 此前有风险领域（欺诈、AML 和/或信贷）经验，或构建面向客户的机器学习模型（建议/自动化）的经验
请注意，求职者可能会成为恶意行为者寻找个人数据的目标。Brex 招聘人员只会通过 LinkedIn 或 brex.com 域名的电子邮件联系。任何声称来自 Brex 但通过其他渠道的联系都应被忽略。
福利待遇
Brex 是智能金融平台，帮助企业在 200 多个市场中更明智地支出、更快速地行动。通过将全球企业卡和银行服务与直观的支出管理、账单支付和差旅软件相结合，Brex 帮助创始人和财务团队加速运营、获得实时可见性，并轻松控制支出。Brex 的 AI 原生自动化和世界级服务为客户消除了手动费用和会计任务，让他们能够专注于最重要的事情。数以万计的世界顶级公司都在使用 Brex，包括 DoorDash、Coinbase、Robinhood、Zoom、Plaid、Reddit 和 SeatGeek。
在 Brex 工作，你可以突破自己的极限、挑战现状，并与业内最聪明的人才合作。我们致力于打造多元化的团队和包容的文化，并相信你的潜力只应受限于你的梦想有多大。我们通过为你提供职业成长所需的工具、资源和支持，让这一切成为现实。
Brex 的数据团队
数据组织利用金融数据开发基础设施、统计模型和产品。我们的科学家和工程师共同协作，使数据——以及从数据中得出的洞察——成为整个公司的核心资产。我们的工作深深融入 Brex 的决策流程、运营效率、风险管理政策，以及我们为客户提供的无与伦比的体验中。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
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职位描述
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, i
岗位职责
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.
• 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).
任职要求
• 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
• 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)
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.
福利待遇
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.