Staff Data Scientist, Security

About the team

You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a special focus on Stripe’s security. Projects include, but are not limited to:

• 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.

What you'll do

Responsibilities

• 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.
• 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.

Who you are

Minimum 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 (e.g. Statistics, Mathematics, Economics, Operations Research, Quantitative Marketing, Physical Sciences, Engineering, etc.).
• 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, and leading company-level initiatives.
• Demonstrated 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

• Strong preference for experience working with security or security-adjacent teams, and familiarity with contemporary security tools and practices.
• 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.

Location

• The role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office).
• A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live.

Salary and benefits

• The annual US base salary range for this role is $205,400 - $308,000.
• This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location.
• Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
• Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Office locations

• Chicago

Team

• Data & Data Science

Job type

• Full time