The opportunity
The Risk Data Science team builds the data foundations, models, and measurement frameworks that power Stripe's risk and product decisions — from underwriting and reserves to merchant interventions and enablements. We're at an inflection point: as Stripe increasingly offers risk…
What you'll do
+ years in Data Analytics, Data Science, or related roles
Track record of defining and driving data strategy across multiple teams —: not just executing on a roadmap, but shaping it
Experience designing experimentation frameworks or measurement strategies for: complex, multi-variant systems (e.g., risk policies, pricing, marketplace dynamics)
Deep expertise in SQL; proficiency in Python
Strong ability to translate ambiguous business problems into structured: analytical approaches and communicate findings to executive stakeholders
Experience building and scaling data products (metrics frameworks, pipelines,: dashboards) that become operational infrastructure, not one-off analyses
What they're looking for
- + years in Data Analytics, Data Science, or related roles
- Track record of defining and driving data strategy across multiple teams —: not just executing on a roadmap, but shaping it
- Experience designing experimentation frameworks or measurement strategies for: complex, multi-variant systems (e.g., risk policies, pricing, marketplace dynamics)
- Deep expertise in SQL; proficiency in Python
- Strong ability to translate ambiguous business problems into structured: analytical approaches and communicate findings to executive stakeholders
- Experience building and scaling data products (metrics frameworks, pipelines,: dashboards) that become operational infrastructure, not one-off analyses
- Demonstrated ability to influence without authority across engineering, product, and business teams
- Proficiency with AI tools to accelerate model development, analysis and coding
