Staff Data Scientist, Security

Stripe
United States
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Leadership","Collaboration","Mentorship","Problem-solving","Strategic thinking"]

Join the data science team focused on Stripe’s security, using internal telemetry and logs to design secure access controls and quantify risk from security incidents. Lead hands-on technical direction across detection, modeling, metrics, and observability, and partner with engineering and PMs to detect malicious attack vectors. Serve as a strategic data partner to Security by guiding roadmap strategy, evangelizing best practices, and mentoring data science talent.

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FursaFursa
Stripe
Stripe
1 month ago

Staff Data Scientist, Security

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Join the data science team focused on Stripe’s security, using internal telemetry and logs to design secure access controls and quantify risk from security incidents. Lead hands-on technical direction across detection, modeling, metrics, and observability, and partner with engineering and PMs to detect malicious attack vectors. Serve as a strategic data partner to Security by guiding roadmap strategy, evangelizing best practices, and mentoring data science talent.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Provide senior technical direction to data teams across detection, modeling, metrics, and observability; offer hands-on leadership on complex problems.
  • •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 tracking and protecting Stripe assets from external and internal threats.
  • •Contribute to the data science team strategy, roadmap, and vision; evangelize best practices and mentor data science talent.

Key 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).
  • •Demonstrated experience leading organization-wide initiatives spanning multiple teams, influencing tech roadmap planning and execution.
  • •Demonstrated ability to collaborate across multiple teams and stakeholders to drive business outcomes.
  • •Proficiency with AI tools to accelerate model development, analysis, and coding; experience mentoring and developing peers.
Experience:10+ yearsSecurityData science
Education:
Skills:LeadershipCollaborationMentorshipProblem-solvingStrategic thinking
Languages:English
Tech Stack:AI toolsTelemetryLogsObservability

Company Brief

Stripe
Provides payment processing APIs and financial infrastructure for internet businesses. Powers online payments for millions of companies from startups to Fortune 500s.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2010
Glassdoor
Glassdoor: 4.2
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