Core Infra Data Scientist: Capacity & Cost Analytics

Stripe; New York (NY); Hybrid; USD 192,000 - 288,000; Full time

Benefits offered by this job

Equity

Company bonus

401(k)

Medical, dental, and vision benefits

Wellness stipends

Job summary

Stripe is seeking a senior data scientist to join the Data & Data Science team, focusing on core infrastructure and cloud platforms. You will analyze usage, build predictive models for capacity planning, and partner with engineering and finance to optimize cost and performance as Stripe scales.

The role requires advanced degree or equivalent experience, strong SQL and Python/R skills, and a proven ability to translate analyses into actionable recommendations for senior leadership.

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/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 work independently and with cross-disciplinary teams including engineering and finance.

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 to ensure data-driven infrastructure decisions.
• Providing actionable insights to improve infrastructure operations and reduce costs.
• Influencing both technical and financial strategies within Stripe.

Skills

SQL

Python/R

Education

BS/BA in data science/related field

MS/MA or PhD in quantitative field

Job description

Stripe is seeking a senior data scientist to join the Data & Data Science team, focusing on core infrastructure and cloud platforms. You will analyze usage, build predictive models for capacity planning, and partner with engineering and finance to optimize cost and performance as Stripe scales.

The role requires advanced degree or equivalent experience, strong SQL and Python/R skills, and a proven ability to translate analyses into actionable recommendations for senior leadership.