Data Scientist, Core Infrastructure

Details

Who We Are

About Stripe

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. Stripe's mission is to increase the GDP of the internet.

About the Team

You’ll join Stripe’s data science team responsible for overall infrastructure, with a focus on core systems and cloud platforms. Projects include developing models to predict resource needs as Stripe demand increases, working with engineers to improve the cost and performance of platforms and services, and applying quantitative methods to drive and automate fleet decisions.

You will act as a strategic data partner to the Core Infrastructure organization, helping craft, guide, and drive the strategy and tactics needed for Stripe to scale efficiently and dependably.

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 support data-driven infrastructure decisions.
• Provide actionable insights and recommendations to improve infrastructure operations, reduce costs, and improve reliability.
• Use analytical expertise to influence technical and financial strategies.

Requirements

• PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience.
• 3–8+ years of experience focused on infrastructure, cloud environments, and resource utilization or allocation.
• Proficiency in SQL and a computing language such as Python or R.
• Experience analyzing logs or telemetry, scheduling optimization, or cloud infrastructure engineering.
• Ability to work independently and with cross-disciplinary teams, including engineering and finance.
• Ability to manage and deliver multiple projects with strong attention to detail.
• Solid business acumen and experience synthesizing complex analyses into actionable recommendations.
• Experience building relationships with and influencing senior technical leadership.
• A builder’s mindset and willingness to question assumptions and conventional wisdom.

Preferred Qualifications

• Experience 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 such as Computer Science and Engineering, Statistics, Mathematics, Operations Research, Industrial Engineering, Management Science, or a related discipline.
• Strong business acumen and a track record of translating complex data analyses into actionable business recommendations.

Location

Seattle, Washington, or San Francisco, California. This is a hybrid role requiring 50% in-office attendance.