The opportunity
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.
What you'll do
Leverage internal telemetry and logs to understand and design secure and safe: access controls to sensitive data;
Develop methods to model, quantify, and ultimately de-risk security-related: incidents on Stripe data, assets, and networks;
Collaborate across the company with engineering, PMs, and others to better: understand, measure, and ultimately detect various malicious attack vectors.
Provide senior technical direction to data teams on horizontal technical: areas, including detection, modeling, metrics, 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 quantitative outputs and: artifacts that deliver outsized value to our users and our business.
What they're looking for
- Provide data-driven guidance to cross-functional partners on strategy for: tracking and protecting Stripe assets from external and internal threats.
- 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.
