Staff Data Scientist

Responsibilities

• check_circle Provide direction to cross-functional partners on business strategy for enabling Stripe’s growth, leveraging your expertise in causal inference / experimentation, modeling, analytical insights, and data foundations.
• check_circle Provide senior technical direction to data teams on horizontal technical areas, including experimentation, attribution, forecasting, observability, etc.; assume hands-on leadership, especially when helping teams resolve complex problems through iterative execution.
• check_circle Identify broad company problems and opportunities that can be tackled through data science; work with relevant teams to design and build the data science outputs that deliver outsized value to our users and our business.
• check_circle Contribute to the overall strategy, roadmap, and vision of your data science team and organization.
• check_circle Evangelize and inspire best practices across data science; lead by example to build a culture of craftsmanship and innovation.
• check_circle Provide mentorship to our data science talent to help them grow technically and professionally.
• check_circle 10+ years of data science experience OR equivalent combined industry and research experience in a quantitative field.
• check_circle B.S. / M.S. / Ph.D. in a quantitative field (e.g. Statistics, Mathematics, Economics, Operations Research, Quantitative Marketing, Physical Sciences, Engineering, etc.).
• check_circle Experience with modern causal inference techniques.
• check_circle Demonstrated experience of leading organization-wide initiatives spanning multiple teams, or leveraging deep domain expertise to influence tech roadmap planning and execution.
• check_circle Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes.
• check_circle Experience creating alignment with stakeholders in ambiguous and complex situations.
• check_circle Demonstrated ability to balance execution and velocity with research, statistical depth, and scalable design.
• check_circle Experience, mentoring, and investing in the development of peers.

Preferred qualifications

• Strong preference for experience working with Growth, Marketing Measurement, and/or Sales Automation teams.
• Experience in the end-to-end development and production implementation of machine learning, statistical, or forecasting frameworks (beyond building model prototypes).
• Experience developing and deploying metrics / observability frameworks.

About the company