Data Scientist, Core Infrastructure & Cloud Efficiency

Stripe; Washington; Hybrid; USD 150,000 - 190,000; Full time

Job summary

Stripe is seeking a Data Scientist to join the Core Infrastructure data science team. You’ll analyze infrastructure usage, build models to predict demand, and help guide capacity planning with data-driven insights.

You’ll partner with engineers, finance, and leadership to optimize compute resources, reduce costs, and improve reliability as Stripe scales. Requirements include a PhD or higher, 3–8+ years in data science, strong SQL and Python or R, and cloud/telemetry experience.

Qualifications

• 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 infrastructure, cloud environments, and resource utilization/allocation.
• 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 effectively work both independently and with cross-disciplinary teams, including engineering and finance, to deliver impactful results.
• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail.
• Solid business acumen and experience in synthesizing complex analyses into actionable recommendations.
• A track record of building relationships with and influencing the decisions of senior technical leadership.
• A builder's mindset with a willingness to question assumptions and conventional wisdom.

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 Stripe makes the right, data-driven, infrastructure decisions.
• Providing actionable insights and recommendations to improve infrastructure operations to reduce costs and improve reliability.
• Utilizing your analytical expertise to influence both technical and financial strategies within Stripe.

Skills

SQL

Python

R

Data modeling

Cloud infrastructure

Logs analysis

Education

PhD or higher in quantitative field

MS in quantitative field

BS in quantitative field

Tools

Spark

Hadoop

Public cloud (AWS/GCP/Azure)

Job description

Stripe is seeking a Data Scientist to join the Core Infrastructure data science team. You’ll analyze infrastructure usage, build models to predict demand, and help guide capacity planning with data-driven insights.

You’ll partner with engineers, finance, and leadership to optimize compute resources, reduce costs, and improve reliability as Stripe scales. Requirements include a PhD or higher, 3–8+ years in data science, strong SQL and Python or R, and cloud/telemetry experience.