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Datos y analítica

Data Science Manager, Finance and Strategy - vacante remota

Stripe

Desde cualquier lugarRemotoAnywhere in the World
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Publicada: (hace un mes)Activa hasta: hasta el 31 de agosto de 2026

Data Science Manager, Finance and Strategy - Datos y analítica, remoto

La empresa Stripe busca cubrir el puesto de Data Science Manager, Finance and Strategy: es un puesto de liderazgo, con responsabilidad sobre un equipo o sobre un área entera. La vacante pertenece al área de Datos y analítica y es totalmente remota. La empresa no pone ninguna restricción sobre el lugar de residencia, así que usted puede postular desde donde vive.

La empresa no publicó ninguna cifra, eso se aclara en la entrevista. Sobre el horario, el anuncio no pone ninguna condición.

Esta vacante pasó una revisión automática: los anuncios que exigen un permiso de trabajo extranjero, patrocinio de visa, una nacionalidad concreta o residencia en un país determinado no entran en la lista.

En resumen

Empresa
Stripe
Área
Datos y analítica
Quién puede postular
Desde cualquier país del mundo
Modalidad
Totalmente remoto
Nivel
Liderazgo
Publicada
22 de julio de 2026 (hace un mes)
Activa
hasta el 31 de agosto de 2026
Fuente
We Work Remotely

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Descripción de la empresa

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

El texto se conserva en el idioma original de la empresa, porque en ese mismo idioma se postulará usted.

Esta vacante se publicó en We Work Remotely. Anuncio original (We Work Remotely)

Preguntas frecuentes sobre esta vacante

¿Puedo postularme al puesto de Data Science Manager, Finance and Strategy desde donde vivo?

Sí. Para esta vacante, Stripe acepta candidatos de cualquier país del mundo, así que usted no necesita un permiso de trabajo de otro país. El anuncio pasó una revisión automática: si la empresa hubiera exigido un permiso de trabajo, patrocinio de visa o residencia en un país determinado, no estaría en este tablón.

¿Qué remuneración se indica?

Para esta vacante, Stripe no publicó ninguna cifra. La mayoría de los anuncios remotos no publica un monto: se acuerda en la entrevista.

¿Cómo me postulo?

Usted se postula directamente ante la empresa, a través del anuncio original publicado en We Work Remotely. Donator no recibe candidaturas, no cobra comisión y no guarda ningún CV.

¿Qué tipo de vacante es esta?

Un puesto totalmente remoto en el área de Datos y analítica. Los anuncios híbridos y todo lo que exija presencia en la oficina no se publican en este tablón.

Certificados gratuitos para esta vacante

Los certificados gratuitos que más peso tienen en esta área. Cada uno está verificado en la propia página del proveedor.

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