数据科学经理, 财务与战略
Data Science Manager, Finance and Strategy
我们是谁
关于 Stripe
Stripe 是一家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具雄心的初创公司——使用 Stripe 来接受支付、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，我们还有大量工作要做。这意味着你有机会在职业生涯中从事最重要的工作，将全球经济带给每个人。
关于团队
财务与战略数据科学团队构建了核心的预测模型、数据基础设施和分析工具，用于衡量和规划 Stripe 的业务。该团队负责从分层时间序列和代理预测工具（用于预测支付量和收入利润率），到受控指标平台（为全公司仪表盘和高管报告提供数据）。我们与财务与战略、GTM 和产品相关方紧密合作，直接推动 Stripe 全球业务的财务决策。该团队结合了技术深度、战略思维和高管合作，培养技术和业务能力。
你将做什么
Stripe 的数据科学经理负责团队的成功。你将深度参与建模和设计过程，同时指导、辅导和领导团队。你将深入了解如何打造高效的数据科学团队，并具有强烈的用户导向。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，并在团队和高级管理层之间有效沟通。
职责
- 主导团队的路线图和优先级，与公司内多位 Stripe 高层合作，提升我们数据驱动的能力。
- 与组织内的各个相关方合作，如工程、分析、运营、财务和市场部门。
- 领导和管理流程，帮助团队发挥最佳水平，并与 Stripe 的其他部分有效协作。
- 管理一支高绩效的数据科学团队，支持他们实现高水平的技术卓越并推进职业发展。
- 与 Stripe 的招聘团队合作，招募和入职优秀数据科学家。
- 作为 Stripe 数据科学管理团队的一员，参与广泛的数据科学项目。
你是谁
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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 scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership.
Responsibilities
- 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.
Who you are
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.
Preferred qualifications
- 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