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356 jobs · page 16 of 18
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Stripe· stripe.com
Data Science Manager, Risk
- Bengaluru
- Full-time
- 10+ yrs
- Posted 14 may
- Data Science
The Data Science and Analytics organization at Stripe partners with teams across the company to drive rigorous, data-informed decision-making at scale. Within this org, the Verifications and Greater China data teams deliver critical analytical and data science work—from identity verification and risk modeling to…
Skills
- Python
- SQL
- Statistics
What you’ll do
- Build, manage, and develop a high-performing, geographically distributed data team.
- Define and drive the data roadmap in close partnership with product, engineering, and business stakeholders—ensuring analytical work is tightly coupled to business outcomes.
- Establish and raise the bar on analytical rigor, experimentation frameworks, and data science best practices across the team.
- Recruit and retain skilled data talent, crafting a compelling hiring narrative anchored in local leadership and craft excellence.
- Champion a culture of technical excellence, intellectual curiosity, and operational discipline.
- Collaborate with cross-functional partners and other data leaders globally to align priorities, share learnings, and maintain org-wide consistency.
- Communicate insights, recommendations, and team progress clearly to senior leadership.
What they’re looking for
- 10+ years of experience in data science, analytics, or a related quantitative field, with 3+ years in a people management role leading data scientists or analysts
- Strong technical foundation in SQL, Python or R, statistical modeling, and experimentation design
- Demonstrated ability to translate ambiguous business problems into structured analytical frameworks and actionable insights
- Experience managing and developing individual contributor talent across multiple levels, including coaching, career pathing, and performance management
- Excellent communication and stakeholder management skills—able to influence without authority across functions and time zones along with proven ability to drive alignment and execution across distributed, cross-functional teams
- Advanced degree (M.S. or Ph.D.) in a quantitative discipline such as Statistics, Economics, Computer Science, Mathematics, or a related field
- Experience working in the payments, fintech, or financial services industry
- Prior experience building and scaling data teams in a high-growth environment—particularly standing up 0 → 1 functions or teams
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