Jobs / United States / Stripe
Data Science Manager, Finance and Strategy
Stripe · 🇺🇸 Seattle, WA OR New York, NY OR Remote North America · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 260 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 64 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Stripe paid sponsored hires in similar roles1 certified filing for “Finance & Strategy Partner” (Financial Managers) in WA: $183k–$183k, median $183k. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Stripe
The US Department of Labor certified 260 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 64 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Stripe →
About the role
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. • Exper