Data Science Manager at Stripe

This role is designed for an experienced leader with a deep technical foundation in machine learning and analytics. You are an ideal candidate if you have at least 10 years of data science experience, including 3+ years specifically in management. You should be comfortable overseeing high-performing teams that build scalable data products and ML systems, particularly within financial services or growth-oriented product environments. The position offers significant flexibility with a fully remote option across North America or hub offices in Seattle and New York. You will have a seat at the table with senior leadership, influencing the roadmap for critical products like "Money as a Service" or Stripe’s Growth engine. This is a high-autonomy role where you can drive technical excellence while mentoring a talented group of scientists. **You might be a good fit if you...** * Have a strong background in designing metrics and using data to guide high-stakes business strategy. * Are technically proficient enough to provide architecture and modeling guidance to staff-level scientists. * Thrive in cross-functional environments, collaborating closely with Engineering, Product, and Finance teams. * Have experience shipping large-scale ML systems and managing distributed teams.