Data Scientist, Core Infrastructure & Cloud Optimization

Triwill Group; Seattle (WA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Stripe’s data science team in Seattle/San Francisco hybrid mode seeks a Data Scientist focused on core infrastructure and cloud platforms. You will build models to predict resource needs, optimize compute provisioning, and drive data-driven decisions across engineering and finance teams.

You should have a PhD with 3+ years or an MS with 6+ years or a BS with 8+ years in data science or quantitative modeling, plus strong SQL and Python/R skills. Hybrid work with 50% in office.

Qualifications

• Infrastructure, cloud environments, and resource utilization are a core focus.
• 3–8+ years of experience in data science or quantitative modeling.
• Ability to work across engineering and finance to deliver impactful results.

Responsibilities

• Analyze infrastructure usage and workloads to predict demand for capacity planning.
• Develop models and strategies for efficient compute resource consumption and provisioning.
• Collaborate with engineers, leadership, and finance to drive data-driven decisions.
• Provide actionable insights to improve infrastructure operations and reliability.
• Translate complex analyses into clear business recommendations.

Skills

SQL

Python

R

Data analysis

Education

PhD

MS or MA

BS or BA

Tools

Spark

Hadoop

Job description

Stripe’s data science team in Seattle/San Francisco hybrid mode seeks a Data Scientist focused on core infrastructure and cloud platforms. You will build models to predict resource needs, optimize compute provisioning, and drive data-driven decisions across engineering and finance teams.

You should have a PhD with 3+ years or an MS with 6+ years or a BS with 8+ years in data science or quantitative modeling, plus strong SQL and Python/R skills. Hybrid work with 50% in office.