Staff Data Scientist, Security

About the role

Stripe is seeking a Staff Data Scientist to join its infrastructure data science team, focusing specifically on security. This role involves protecting Stripe's critical assets and customer data by applying advanced data science techniques. You will play a key role in shaping the security strategy and ensuring the highest level of safety for the platform.

Key facts

What you'll do

• Provide senior technical leadership for data teams in areas like detection, modeling, and metrics.
• Guide teams in solving complex problems through hands-on execution.
• Identify company-wide challenges and opportunities that data science can address.
• Collaborate with relevant teams to create quantitative outputs that benefit users and the business.
• Offer data-driven advice to cross-functional partners on strategies for protecting Stripe assets from threats.
• Contribute to the vision, roadmap, and strategy of your data science team.
• Promote best practices in data science and foster a culture of innovation.
• Mentor data scientists to support their technical and professional growth.

Requirements

• 10+ years of experience in data science or a combination of industry and research experience in a quantitative field.
• Bachelor's, Master's, or Ph.D. in a quantitative discipline such as Statistics, Mathematics, Economics, Operations Research, Quantitative Marketing, Physical Sciences, or Engineering.
• Proven experience leading organization-wide initiatives across multiple teams or using deep domain knowledge to influence technology roadmaps.
• Demonstrated ability to collaborate effectively with various teams and stakeholders to achieve business results.
• Experience building consensus with stakeholders in unclear and complex situations, and leading company-level projects.
• Ability to balance execution speed with research, statistical rigor, and scalable design.
• Proficiency with AI tools to speed up model development, analysis, and coding.
• Experience mentoring peers and investing in their development.

Nice to have

• Experience with security or security-related teams, and familiarity with current security tools and practices.
• Experience with the full development and production deployment of machine learning, statistical, or forecasting frameworks (beyond prototypes).
• Experience creating and deploying metrics and observability frameworks.

Skills & tools

• AI tools
• Machine learning
• Statistical modeling
• Forecasting frameworks
• Metrics development
• Observability frameworks

Practical notes

This role is remote within the US.