Note: The job is a remote job and is open to candidates in USA. Stripe is a financial infrastructure platform for businesses, and they are seeking a Staff Data Scientist focused on Growth. The role involves providing strategic direction, leading data science initiatives, and mentoring team members to drive growth through data-driven insights.

Responsibilities

• Provide direction to cross-functional partners on business strategy for enabling Stripe's growth, leveraging your expertise in causal inference and 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., 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
• 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

• Equity
• Company bonus or sales commissions/bonuses
• 401(k) plan
• Medical, dental, and vision benefits
• Wellness stipends

Company Overview

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