Data Scientist, Global Growth

Stripe
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Cross-functional collaboration","Attention to detail","Business acumen","Project management"]

Partner with Global Growth teams to design and ship experiments that improve the self-serve user funnel and onboarding experience across stripe.com and the dashboard. Use machine learning, statistical modeling, causal inference, optimization, experimentation, and analytics to identify growth opportunities, quantify impact, and turn complex data into actionable recommendations for products and business decisions worldwide.

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FursaFursa
Stripe
Stripe
2 months ago

Data Scientist, Global Growth

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Partner with Global Growth teams to design and ship experiments that improve the self-serve user funnel and onboarding experience across stripe.com and the dashboard. Use machine learning, statistical modeling, causal inference, optimization, experimentation, and analytics to identify growth opportunities, quantify impact, and turn complex data into actionable recommendations for products and business decisions worldwide.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and ship experiments with Global Growth teams.
  • •Identify improvement opportunities across stripe.com and the dashboard.
  • •Analyze and optimize the self-serve user funnel to improve onboarding quality globally.
  • •Apply machine learning, statistical modeling, causal inference, optimization, and experimentation to drive impact.
  • •Synthesize complex analyses into actionable recommendations for product and business decisions.

Key Requirements

  • •Bachelors + 8 years, or Masters + 6 years, or PhD + 3 years of data science or quantitative modeling experience.
  • •Proficiency in SQL and a computing language such as Python or R.
  • •Experience working with cross-functional teams to deliver results.
  • •Ability to communicate results clearly with a focus on driving impact.
  • •Demonstrated ability to manage and deliver on multiple projects with attention to detail; strong business acumen and actionable recommendations.
Experience:8+ yearsData scienceQuantitative modeling
Education:Bachelor's
Skills:CommunicationCross-functional collaborationAttention to detailBusiness acumenProject management
Languages:English
Tech Stack:SQLPythonRSparkHadoop

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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