财务与战略数据科学经理
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Data Science Manager, Finance and StrategyStripe · Seattle, WA OR New York, NY OR Remote North America
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职位描述
机器翻译我们是谁
关于 Stripe
Stripe 是一个面向企业的金融基础设施平台。数百万家公司——从全球最大的企业到最有抱负的初创公司——都在使用 Stripe 来接受付款、增长收入并加速新的商业机会。我们的使命是提升互联网的 GDP，而我们面前还有大量工作要做。这意味着你拥有一个前所未有的机会，在从事你职业生涯中最重要的工作的同时，让全球经济触手可及。
关于团队
财务与战略数据科学团队构建预测模型、数据基础设施和分析工具，这些是 Stripe 衡量和规划其业务的核心。该团队负责从预测支付量和收入利润率的层级时间序列和智能体预测工具，到为公司范围仪表盘和高管报告提供数据的受治理指标平台的一切事务。我们与财务与战略、GTM 和产品利益相关方紧密合作，直接为 Stripe 整个业务的财务决策提供信息。该团队结合了技术深度、战略思维和高管合作伙伴关系，从而培养技术和业务专长。
你将做什么
Stripe 的数据科学经理负责其团队的成功。你将深入参与建模和设计流程，同时指导、辅导和领导团队。你将深入理解如何推动高效的数据科学团队，并且你将以用户为强烈关注点。你将与数据科学
岗位职责
Stripe 的数据科学经理负责其团队的成功。你将深入参与建模和设计流程，同时指导、辅导和领导团队。你将深入理解如何推动高效的数据科学团队，并且你将以用户为强烈关注点。你将与数据科学家、分析师和工程师合作创建技术解决方案，并在各团队和高级领导层之间进行有效沟通。
• 推动你团队的路线图和优先事项，并与公司内许多 Stripe 领导者合作，以增强我们实现数据驱动的能力。
• 与组织内各利益相关方合作，例如工程、分析、运营、财务和营销。
• 领导和管理流程，帮助团队发挥最佳工作表现，并与 Stripe 其他部门有效互动。
• 管理一支高绩效的数据科学家团队，支持他们实现高水平的技术卓越并在职业生涯中取得进步。
• 与 Stripe 的招聘团队合作，招聘并入职优秀的数据科学家。
• 作为 Stripe 数据科学管理团队的一员，为广泛的数据科学计划做出贡献。
任职要求
我们正在寻找符合该职位最低要求的人选。如果你符合这些要求，我们鼓励你申请。优先资格是加分项，而非要求。
最低要求
• 拥有定量领域（例如统计学、运筹学、经济学、计算机科学、工程学）的博士、硕士或学士学位
• 你拥有至少 3 年领导数据科学或 ML 团队的直接管理经验，以及 10 年整体数据科学经验。
• 你已展现出在设计指标和以数据指导业务决策方面的专长。
• 你具备技术专长，能够与资深和高级科学家就架构和战略建模决策推动清晰共识。
• 你管理过已构建并大规模交付机器学习系统和数据产品的团队，并拥有应对挑战性问题的实操经验。
• 你非常擅长跨职能工作，并且能够严谨思考并做出艰难决策和权衡。
• 你具备清晰且有说服力的书面和口头沟通能力。
• 你在高度自主和责任中如鱼得水。
• 你营造健康、包容、富有挑战且支持性的工作环境。
• 你能够自如地与地理上分散的团队合作。
• 在时间序列预测、预测建模或优化方面具备专长
• 在数据设计和构建可扩展数据架构方面具备专长
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
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Finance and Strategy Data Science builds the forecasting models, data infrastructure, and analytics tools at the core of how Stripe measures and plans its business. The team owns everything from hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins, to the governed metrics platform that feeds company-wide dashboards and executive reporting. We partner closely with Finance and Strategy, GTM, and Product stakeholders to directly inform financial decisions across Stripe's entire business. The team combines technical depth, strategic thinking, and executive partnership that develops both technical and business expertise.
What you’ll do
Data Science Managers at Stripe are responsible for the success of their team. You'll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You'll have a deep understanding of how to drive efficient data science teams and you'll have a strong user-focus. You'll be working with data scienti
岗位职责
Data Science Managers at Stripe are responsible for the success of their team. You'll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You'll have a deep understanding of how to drive efficient data science teams and you'll have a strong user-focus. You'll be working with data scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership.
• Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data-driven.
• Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
• Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.
• Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
• Recruit and onboard great data scientists, in collaboration with Stripe's recruiting team.
• Contribute to broad data science initiatives as a member of Stripe's data science management team.
任职要求
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
• A PhD, MS, or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering)
• You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
• You've demonstrated expertise in designing metrics and guiding business decisions with data.
• You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
• You've managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You have clear and persuasive communication skills in writing and in speech.
• You thrive on a high level of autonomy and responsibility.
• You foster a healthy, inclusive, challenging, and supportive work environment.
• You're comfortable working with geographically distributed teams.
• Expertise in time series forecasting, predictive modeling, or optimization
• Expertise in data design and building scalable data architectures