Data and analytics
Data Science Manager, Finance and Strategy - remote job
Stripe
Data Science Manager, Finance and Strategy - Data and analytics, remote
Stripe is hiring a Data Science Manager, Finance and Strategy - a lead role, which means responsibility for a team or a direction. The role sits in Data and analytics and is fully remote. The company places no restriction on where the candidate lives, so you can apply from anywhere.
The employer did not publish a figure; that is settled at interview. The advert sets no condition on working hours.
This vacancy passed an automated check: the list excludes any advert requiring a foreign work permit, visa sponsorship, a particular citizenship, or residence in a specific country.
In brief
- Company
- Stripe
- Category
- Data and analytics
- Who may apply
- From anywhere in the world
- Work mode
- Fully remote
- Level
- Lead
- Posted
- 22 July 2026 (a month ago)
- Active
- until 31 August 2026
- Source
- We Work Remotely
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The employer's description
Headquarters: Seattle, WA OR New York, NY OR Remote North America
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
* 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
* A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering)
* 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
To apply: https://weworkremotely.com/remote-jobs/stripe-data-science-manager-finance-and-strategy
The text is kept in the employer's original language, because that is the language you will apply in.
Frequently asked questions about this job
Can I apply for Data Science Manager, Finance and Strategy from where I live?
Yes. Stripe accepts candidates for this vacancy from anywhere in the world, so you need no work permit for a foreign country. The advert passed an automated check: had the employer required a work permit, visa sponsorship or residence in a specific country, it would not be on this board.
What pay is stated?
Stripe did not publish pay for this vacancy. Most remote adverts publish no figure; it is settled at interview.
How do I apply?
You apply directly to the employer, through the original advert published on We Work Remotely. Donator takes no applications, charges no commission and stores no CV.
What kind of vacancy is this?
A fully remote role in Data and analytics. Hybrid adverts and anything requiring office attendance are not published on this board.
Free certificates for this vacancy
The free certificates that carry the most weight in this field. Each one is verified on the provider's own page.
OCI AI Foundations Associate
exam is free tooOracle · ~10 h
A free certification on the AI track, exam included, taken inside MyLearn. An Agentic AI Foundations version also exists.
strong brandValid: 18-24 monthsAI Fundamentals and Generative AI Essentials
digital badgeIBM SkillsBuild · ~12 h
Credly badges an employer recognises. The tests require 80% to pass.
strong brandAnthropic Academy: 21 courses
certificateAnthropic · ~20 h
Courses on the Claude API, MCP and Claude Code. Each carries a free certificate, and Georgia is a supported country.
moderate weightDeep Reinforcement Learning course
certificateHugging Face · ~30 h
Entirely free with no deadline. 80% earns a Certificate of Completion, 100% a Certificate of Honors.
moderate weight
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