Note: The job is a remote job and is open to candidates in USA. Stripe is a financial infrastructure platform for businesses, aiming to increase the GDP of the internet. The Staff Data Scientist will provide strategic direction and technical leadership to data teams, focusing on leveraging data science to drive growth and deliver insights for various departments.

Responsibilities

• 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
• 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; work with relevant teams to design and build the data science outputs that deliver outsized value to our users and our business
• Contribute to the overall strategy, roadmap, and vision of your 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 our data science talent to help them grow technically and professionally

Skills

• 10+ years of data science experience OR equivalent combined industry and research experience in a quantitative field
• B.S. / M.S. / 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
• 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

Company Overview

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