数据科学经理，风险
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Data Science Manager, RiskStripe · Bengaluru
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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工作的同时，让全球经济触手可及。
关于团队
Stripe 的数据科学与分析组织与公司各团队合作，推动大规模、严谨、以数据为依据的决策。在该组织内，Verifications 和大中华区数据团队交付关键的分析和数据科学工作——从身份验证和风险建模到特定市场的增长洞察——这些工作直接影响 Stripe 安全服务用户并拓展新市场的能力。
如今，该团队由分布在新加坡和印度的个人贡献者组成，支持两大高影响力支柱。我们正在寻找一位常驻班加罗尔的创始数据科学经理，从零开始组建并领导这一不断增长的区域布局。
你将做什么
这是一个罕见的 0 → 1 领导岗位，肩负双重职责。
支柱 1——直接团队领导
• 管理一支由数据科学家和数据分析师组成的团队（目前有 4 名个人贡献者，分布在印度和新加坡），覆盖 Verifications 和大中华区工作流。
• 负责两个工作流的路线图优先级排序、执行质量和利益相关方协调。
• 推动印度空缺职位和未来职位的招聘，在竞争激烈的人才市场中打造一支高水准的数据团队。
• 通过实时辅导、导师指导、职业发展和绩效管理，促进个人贡献者的成长。
支柱 2——区域数据专业负责人（印度办公室）
• 担任 Stripe 印度办公室的创始数据专业负责人。制定质量标准，建立社区惯例（知识分享、同行评审、办公时间），并培育强大的本地数据文化。
• 作为数据专业标准、工具
岗位职责
这是一个罕见的 0 → 1 领导岗位，肩负双重职责。
支柱 1——直接团队领导
• 管理一支由数据科学家和数据分析师组成的团队（目前有 4 名个人贡献者，分布在印度和新加坡），覆盖 Verifications 和大中华区工作流。
• 负责两个工作流的路线图优先级排序、执行质量和利益相关方协调。
• 推动印度空缺职位和未来职位的招聘，在竞争激烈的人才市场中打造一支高水准的数据团队。
• 通过实时辅导、导师指导、职业发展和绩效管理，促进个人贡献者的成长。
支柱 2——区域数据专业负责人（印度办公室）
• 担任 Stripe 印度办公室的创始数据专业负责人。制定质量标准，建立社区惯例（知识分享、同行评审、办公时间），并培育强大的本地数据文化。
• 作为同地办公分析师（即使不在你的直接汇报线内）在数据专业标准、工具和最佳实践方面的首选联系人。
• 与更广泛数据组织中的经理和负责人合作，确保方法论、工具和质量标准的一致性。
• 支持班加罗尔办公室新数据员工的入职和融入。
• 随着时间推移，该岗位有可能演变为卓越中心（COE）模式——成为印度跨多个产品支柱（例如支付、增长、营销）而不仅仅是风险领域的单一数据领导点。
• 组建、管理并发展一支高绩效、地理分布式的数据团队。
• 与产品、工程和业务利益相关方紧密合作，定义并推动数据路线图——确保分析工作与业务成果紧密相连。
• 在团队内建立并提高分析严谨性、实验框架和数据科学最佳实践的标准。
• 招聘并留住优秀的数据人才，打造以本地领导和专业卓越为核心的引人注目的招聘叙事。
• 倡导技术卓越、求知欲和运营纪律的文化。
• 与跨职能合作伙伴和全球其他数据领导者合作，协调优先事项、分享经验，并保持组织范围内的一致性。
• 向高级领导层清晰传达洞察、建议和团队进展。
任职要求
我们正在寻找符合该岗位最低要求的人选。如果你符合这些要求，我们鼓励你申请。优先资格是加分项，而非必需条件。
最低要求
• 10 年以上数据科学、分析或相关定量领域经验，其中 3 年以上担任领导数据科学家或分析师的人员管理岗位
• 在 SQL、Python 或 R、统计建模和实验设计方面具备扎实的技术基础
• 已证明能够将模糊的业务问题转化为结构化的分析框架和可执行的洞察
• 具备管理和培养多个层级个人贡献者人才的经验，包括辅导、职业路径规划和绩效管理
• 出色的沟通和利益相关方管理能力——能够跨职能和跨时区在无直接职权的情况下施加影响，并具备在分布式、跨职能团队中推动协调和执行的已证明能力
• 定量学科（如统计学、经济学、计算机科学、数学或相关领域）的高级学位（硕士或博士）
• 曾在高增长环境中组建并扩展数据团队的经验——尤其是从 0 → 1 建立职能或团队
• 作为建设者，曾亲自从零开始为数据团队设计惯例、标准、招聘门槛和专业文化的过往业绩
• 熟悉风险、验证或合规相关的数据领域
• 具备在亚太市场运营并驾驭多区域团队管理细微差异的经验
• 对培养他人并创造让个人贡献者完成职业生涯最佳工作的环境充满热情
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
The Data Science and Analytics organization at Stripe partners with teams across the company to drive rigorous, data-informed decision-making at scale. Within this org, the Verifications and Greater China data teams deliver critical analytical and data science work—from identity verification and risk modeling to market-specific growth insights—that directly shapes Stripe's ability to serve users safely and expand into new markets.
Today, the team comprises individual contributors distributed across Singapore and India, supporting two high-impact pillars. We're looking for a founding Data Science Manager based in Bengaluru to build and lead this growing regional footprint from the ground up.
What you'll do
This is a rare 0 → 1 leadership role with a dual mandate.
Pillar 1—Direct Team Leadership
• Manage a team of Data Scientists and Data Analysts (currently 4 individual contributors across India and Singapore) spanning the Verifications and Greater China workstreams.
• Own roadmap prioritization, execution quality, and stakeholder alignment for both workstreams.
• Drive hiring for open and future roles in India, building a high-caliber data team in a competitive talent market.
• Foster individual contributor growth through real-time coaching, mentorship, career development, and performance management.
Pillar 2—Regional Data Craft Lead (India Office)
• Serve as the founding data craft leader for Stripe's India office. Set quality standards, establish community rituals (knowledge sharing, peer reviews, office hours), and cultivate a strong local data culture.
• Act as the go-to point of contact for data craft standards, tooli
岗位职责
This is a rare 0 → 1 leadership role with a dual mandate.
Pillar 1—Direct Team Leadership
• Manage a team of Data Scientists and Data Analysts (currently 4 individual contributors across India and Singapore) spanning the Verifications and Greater China workstreams.
• Own roadmap prioritization, execution quality, and stakeholder alignment for both workstreams.
• Drive hiring for open and future roles in India, building a high-caliber data team in a competitive talent market.
• Foster individual contributor growth through real-time coaching, mentorship, career development, and performance management.
Pillar 2—Regional Data Craft Lead (India Office)
• Serve as the founding data craft leader for Stripe's India office. Set quality standards, establish community rituals (knowledge sharing, peer reviews, office hours), and cultivate a strong local data culture.
• Act as the go-to point of contact for data craft standards, tooling, and best practices for co-located analysts, even those outside your direct reporting line.
• Partner with managers and leads across the broader Data org to ensure consistency in methodology, tooling, and quality bar.
• Support onboarding and integration of new data hires in the Bengaluru office.
• Over time, this role has the potential to evolve into a Center of Excellence (COE) model—becoming the single point of data leadership in India across multiple product pillars (e.g., Payments, Growth, Marketing), not just Risk.
• Build, manage, and develop a high-performing, geographically distributed data team.
• Define and drive the data roadmap in close partnership with product, engineering, and business stakeholders—ensuring analytical work is tightly coupled to business outcomes.
• Establish and raise the bar on analytical rigor, experimentation frameworks, and data science best practices across the team.
• Recruit and retain skilled data talent, crafting a compelling hiring narrative anchored in local leadership and craft excellence.
• Champion a culture of technical excellence, intellectual curiosity, and operational discipline.
• Collaborate with cross-functional partners and other data leaders globally to align priorities, share learnings, and maintain org-wide consistency.
• Communicate insights, recommendations, and team progress clearly to senior leadership.
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
• 10+ years of experience in data science, analytics, or a related quantitative field, with 3+ years in a people management role leading data scientists or analysts
• Strong technical foundation in SQL, Python or R, statistical modeling, and experimentation design
• Demonstrated ability to translate ambiguous business problems into structured analytical frameworks and actionable insights
• Experience managing and developing individual contributor talent across multiple levels, including coaching, career pathing, and performance management
• Excellent communication and stakeholder management skills—able to influence without authority across functions and time zones along with proven ability to drive alignment and execution across distributed, cross-functional teams
• Advanced degree (M.S. or Ph.D.) in a quantitative discipline such as Statistics, Economics, Computer Science, Mathematics, or a related field
• Prior experience building and scaling data teams in a high-growth environment—particularly standing up 0 → 1 functions or teams
• Track record of being a builder who has personally architected the rituals, standards, hiring bar, and craft culture for a data team from the ground up
• Familiarity with risk, verifications, or compliance-related data domains
• Experience operating across Asia-Pacific markets and navigating the nuances of multi-region team management
• Passion for developing others and creating environments where individual contributors do the best work of their careers