Responsibilities

• Provide direction to cross-functional partners on business strategy for enabling Stripe's growth, leveraging expertise in causal inference, experimentation, modeling, analytical insights, and data foundations.
• 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.
• Identify broad company problems and opportunities that can be tackled through data science. Design and build data science outputs that deliver outsized value to users and the business.
• Contribute to the overall strategy, roadmap, and vision of the data science team and organization.
• Evangelize and inspire best practices across data science. Lead by example to build a culture of craftsmanship and innovation.
• Provide mentorship to data science talent to help them grow technically and professionally

Requirements

• 10+ years of data science experience or equivalent combined industry and research experience in a quantitative field
• B.S., M.S., or Ph.D. in a quantitative field (e.g. Statistics, Mathematics, Economics, Operations Research, Quantitative Marketing, Physical Sciences, Engineering, etc.)
• Experience with modern causal inference techniques
• Demonstrated experience of leading organization-wide initiatives spanning multiple teams, or leveraging deep domain expertise to influence tech roadmap planning and execution
• Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes
• Experience creating alignment with stakeholders in ambiguous and complex situations
• Demonstrated ability to balance execution and velocity with research, statistical depth, and scalable design
• Experience mentoring and investing in the development of peers
• Proficiency with AI tools to accelerate model development, analysis, and coding

Preferred

• Strong preference for experience working with Growth, Marketing Measurement, 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 and observability frameworks

Benefits

• additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.