Data Scientist, Core Infrastructure

Stripe
San Francisco, Seattle
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: phdSkills: ["Analytical thinking","Cross-disciplinary collaboration","Project management","Business acumen","Stakeholder influence"]

Join Stripe’s data science team to support Core Infrastructure with data-driven models for cloud platforms and core systems. Analyze infrastructure usage and workloads to predict demand and guide capacity planning, develop strategies for efficient compute provisioning, and provide actionable recommendations to improve operations, cost, and reliability. Collaborate with engineers, engineering leadership, and finance to influence both technical and financial infrastructure decisions as Stripe scales.

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Stripe
Stripe
1 month ago

Data Scientist, Core Infrastructure

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 minutes agoStatus: Live

Job Summary

Join Stripe’s data science team to support Core Infrastructure with data-driven models for cloud platforms and core systems. Analyze infrastructure usage and workloads to predict demand and guide capacity planning, develop strategies for efficient compute provisioning, and provide actionable recommendations to improve operations, cost, and reliability. Collaborate with engineers, engineering leadership, and finance to influence both technical and financial infrastructure decisions as Stripe scales.
Location: San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Analyze infrastructure usage, efficiency, and workloads to predict demand and inform capacity planning.
  • •Develop models and strategies for efficient compute resource consumption and provisioning.
  • •Collaborate with engineers, engineering leadership, and finance to support data-driven infrastructure decisions.
  • •Provide actionable insights and recommendations to improve infrastructure operations and reliability while reducing costs.
  • •Use analytical expertise to influence technical and financial strategies within Stripe.

Key Requirements

  • •PhD with 3+ years, MS/MA with 6+ years, or BS/BA with 8+ years of data science or quantitative modeling experience.
  • •3-8+ years of experience focused on infrastructure, cloud environments, and resource utilization/allocation.
  • •Proficiency in SQL and a computing language such as Python or R.
  • •Experience analyzing logs/telemetry, scheduling optimization, or cloud infrastructure engineering.
  • •Ability to work cross-disciplinarily (engineering and finance) and deliver multiple projects with strong attention to detail.
Experience:3+ yearsCloudInfrastructureData scienceQuantitative modeling
Education:PhD / Doctorate
Skills:Analytical thinkingCross-disciplinary collaborationProject managementBusiness acumenStakeholder influence
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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