Staff Data Scientist, Security
Stripe · n/a · 7112 Data Science · listed July 6, 2026
The shape of it
Seniority
Staff
Experience asked
10+ years
Where
Not stated
Requirements listed
8
Length
551 words
In the posting’s own words
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:
What it asks for · 8
- 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.
Also a plus
- 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.
What the job covers
- 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.
Degree language
- Bachelor’s, Master’s, or Ph.D. in a quantitative field (e.g. Statistics, Mathematics, Economics, Operations Research, Quantitative Marketing, Physical Sciences, Engineering, etc.).
Tools and skills named
Security & compliance
- Security7×
Ways of working
- Mentorship2×
- Cross-functional
Cloud & infra
- Observability2×
Product & design
- Roadmap2×
Data
- Statistics
Go to market
- Forecasting
Models & research
- Machine learning
Words the posting leans on
- data11×
- experience8×
- data science6×
- security5×
- quantitative4×
- requirements4×
- assets3×
- business3×
- demonstrated3×
- design3×
- development3×
- execution3×
- model3×
- provide3×
- research3×
- strategy3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.
More open at Stripe
- Account Executive, AI Startups (Hunter)San Francisco
- Account Executive, BridgeSF, NYC, SEA, CHI
- Account Executive, Bridge (Stripe Crypto and Stablecoins)London
- Account Executive, Commercial (Grower)Chicago
- Account Executive, Commercial HunterSingapore
- Account Executive, Commercial Hunter (Japanese Fluency)Japan