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Data Scientist, Core Infrastructure

Data Engineer • On-site • Full-time • 📍 San Francisco

Stripe's Core Infrastructure Data Science team is hiring a Data Scientist to develop models predicting resource needs, work closely with engineers to improve platform cost and performance, and use quantitative methods to drive fleet decisions. Preferred location San Francisco, CA or Seattle, WA.

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 teams to ensure data-driven infrastructure decisions
  • Provide actionable insights and recommendations to improve infrastructure operations, reduce costs, and improve reliability
  • Use analytical expertise to influence both technical and financial strategies within Stripe

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 with a focus 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 both independently and with cross-disciplinary teams, including engineering and finance
  • Demonstrated ability to manage and deliver on multiple projects with high attention to detail
  • Solid business acumen and experience synthesizing complex analyses into actionable recommendations
  • A track record of building relationships with and influencing senior technical leadership
  • A builder's mindset with a willingness to question assumptions and conventional wisdom

Nice to have

  • Background in deploying data models in production environments and optimizing their performance
  • Experience using, deploying on, and analyzing usage data from public cloud providers
  • Familiarity with distributed computing tools such as Spark and Hadoop
  • A PhD or MS in a quantitative field like Computer Science, Statistics, Mathematics, Operations Research, Industrial Engineering, or Management Science
  • Strong business acumen with a track record of translating complex data analyses into actionable business recommendations

Soft skills

Works effectively both independently and with cross-disciplinary teamsBuilds relationships and influences senior leadership

About the company

Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Their mission is to increase the GDP of the internet.

Languages: Angol: Felsőfok
Education: PhD, MS/MA vagy BS/BA kvantitatív területen

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