
1001 - 5000 employees
Founded 2010
💳 Fintech
🛍️ eCommerce
🤝 B2B
💰 Venture Round on 2021-05
Fintech • eCommerce • B2B
Stripe is a global payments processing platform that enables businesses to accept online and in-person payments. It offers a comprehensive suite of financial services, including payment processing, billing, and revenue management tools, aimed at businesses of all sizes, from startups to enterprises. By providing a developer-friendly API, Stripe allows businesses to streamline their payment operations and embed financial services directly into their applications, facilitating both B2B and B2C transactions.
🕒 June 6
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1001 - 5000 employees
Founded 2010
💳 Fintech
🛍️ eCommerce
🤝 B2B
💰 Venture Round on 2021-05
Fintech • eCommerce • B2B
Stripe is a global payments processing platform that enables businesses to accept online and in-person payments. It offers a comprehensive suite of financial services, including payment processing, billing, and revenue management tools, aimed at businesses of all sizes, from startups to enterprises. By providing a developer-friendly API, Stripe allows businesses to streamline their payment operations and embed financial services directly into their applications, facilitating both B2B and B2C transactions.
• 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.
• 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.
• Health insurance • Remote work options
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