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Stripe
Drive the roadmap and priorities for the Finance and Strategy data science team, manage a high-performing team of data scientists, and collaborate with stakeholders to build forecasting models, data infrastructure, and analytics tools for financial decisions.
Requires at least 3 years of direct management experience leading data science or ML teams and 10 years of overall data science experience, with expertise in designing metrics, guiding business decisions, and shipping machine learning systems at scale.
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.
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.
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.
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.
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AI Est. Total Comp
$545,000
Location
Seattle, WA OR New York, NY OR Remote North America
Work Type
Hybrid
Seniority
manager
Experience
8+ years
Category
Data Science
Visa Sponsorship
Unknown
43 H1B cases filed
Quality Score
6.9