Staff Data Scientist, Security

at Stripe

📍 United States
📍 Chicago, United States

USD 205,400-308,000 per year

SENIOR

✅ Remote ✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 Data Science @ 8 Machine Learning @ 4 Marketing Mathematics Mentoring @ 4 Observability @ 4 Security @ 3 Statistics

Details

Stripe is a financial infrastructure platform for businesses. The data science team is responsible for Stripe's overall infrastructure, with a special focus on security. This role acts as a strategic data partner to the Security organization and helps develop strategies and tactics to protect critical business assets and customer data.

Responsibilities

Provide senior technical direction to data teams on horizontal technical areas, including detection, modeling, metrics, and observability.
Provide hands-on leadership when helping teams resolve complex problems through iterative execution.
Identify company-wide problems and opportunities that can be addressed through data science.
Design and build quantitative outputs and artifacts that deliver value to users and the business.
Provide data-driven guidance to cross-functional partners on strategies for tracking and protecting Stripe assets from external and internal threats.
Contribute to the overall strategy, roadmap, and vision of the data science team and organization.
Evangelize data science best practices and help build a culture of craftsmanship and innovation.
Mentor data science talent to support their technical and professional development.
Leverage internal telemetry and logs to understand and design secure access controls for sensitive data.
Develop methods to model, quantify, and reduce security-related risks involving Stripe data, assets, and networks.
Collaborate with engineering, product managers, and other teams to understand, measure, and detect malicious attack vectors.

Requirements

10+ years of data science experience, or equivalent combined industry and research experience in a quantitative field.
Bachelor's, Master's, or Ph.D. in a quantitative field such as Statistics, Mathematics, Economics, Operations Research, Quantitative Marketing, Physical Sciences, or Engineering.
Experience leading organization-wide initiatives spanning multiple teams, or using deep domain expertise to influence technology roadmap planning and execution.
Ability to collaborate effectively across multiple teams and stakeholders to drive business outcomes.
Experience creating alignment with stakeholders in ambiguous and complex situations and leading company-level initiatives.
Ability to balance execution and velocity with research, statistical depth, and scalable design.
Proficiency with AI tools to accelerate model development, analysis, and coding.
Experience mentoring and investing in the development of peers.

Preferred Qualifications

Experience working with security or security-adjacent teams and familiarity with contemporary security tools and practices.
Experience with the end-to-end development and production implementation of machine learning, statistical, or forecasting frameworks beyond model prototyping.
Experience developing and deploying metrics and observability frameworks.