Data Scientist, Core Infra & Cloud Scale

Stripe; Seattle (WA); Hybrid; USD 130,000 - 190,000; Full time

Job summary

Stripe is seeking a Data Scientist to join our data science team focusing on core systems and cloud platforms. You will analyze infrastructure usage, build predictive models for resource needs, and guide capacity planning through data-driven insights.

You’ll collaborate with engineers, finance, and leadership to optimize performance and cost. Ideal candidates have a PhD with 3+ years, or an MSc with 6+ years, or a BS with 8+ years in data science or quantitative modeling, with strong SQL and

Qualifications

• PhD with 3+ years, MS/MA with 6+ years, or BS/BA with 8+ years in data science or quantitative modeling.
• 3-8+ years of experience with infrastructure, cloud environments, and resource utilization.
• Proficiency in SQL and a computing language such as Python or R.
• Experience in analyzing logs/telemetry, scheduling optimization, or cloud infrastructure engineering.
• Ability to work independently and with cross-disciplinary teams to deliver results.
• Strong business acumen and ability to translate analyses into actionable recommendations.

Responsibilities

• Analyzing infrastructure usage, efficiency, and workloads to predict demand and inform capacity planning.
• Developing models and strategies for efficient compute resource consumption and provisioning.
• Collaborating with engineers, engineering leadership, and finance teams to ensure data-driven infrastructure decisions.
• Providing actionable insights to improve infrastructure operations, reduce costs, and improve reliability.
• Influencing technical and financial strategies within Stripe with data-driven recommendations.

Skills

SQL

Python

R

Cross-functional collaboration

Education

PhD

MS/MA

BS/BA

Tools

Cloud platforms

Logs & telemetry

Job description

Stripe is seeking a Data Scientist to join our data science team focusing on core systems and cloud platforms. You will analyze infrastructure usage, build predictive models for resource needs, and guide capacity planning through data-driven insights.

You’ll collaborate with engineers, finance, and leadership to optimize performance and cost. Ideal candidates have a PhD with 3+ years, or an MSc with 6+ years, or a BS with 8+ years in data science or quantitative modeling, with strong SQL and