Data Scientist — ML & Experiments for Impact (Remote/Hybrid)

Stripe; New York (NY); Hybrid; USD 159,000 - 288,000; Full time

Benefits offered by this job

Equity

Company bonus/sales commissions

401(k)

Medical, dental, vision

Wellness stipends

Job summary

Stripe is hiring data scientists to partner with product, finance, and security teams to build models, run experiments, and provide data-driven insights that shape product decisions and risk management. The role emphasizes responsible data use, scalable experiments, and driving strategic outcomes across Stripe’s ecosystem.

Ideal candidates have strong quantitative training, hands-on ML/stat modeling experience, and a knack for translating complex analyses into practical business recommendations.

Qualifications

• PhD with 3 years, MS or MA with 6 years, or BS or BA with 8 years of data science or quantitative modeling experience
• Proficiency in SQL and a computing language such as Python or R
• Experience in working with cross-functional teams to deliver results
• Ability to communicate results clearly and a focus on driving impact
• A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
• Strong business acumen and experience in synthesizing complex analyses into actionable recommendations
• Proficiency with AI tools to accelerate model development, analysis, and coding

Responsibilities

• Partner with Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams to optimize systems.
• Run modeling, experiments, and analytics to drive business decisions and impact

Skills

SQL

Python/R

Cross-functional teams

Clear communication

Attention to detail

Business acumen

AI tools

Education

PhD/MS/BS in quantitative field

Tools

Spark

Hadoop

Job description

Stripe is hiring data scientists to partner with product, finance, and security teams to build models, run experiments, and provide data-driven insights that shape product decisions and risk management. The role emphasizes responsible data use, scalable experiments, and driving strategic outcomes across Stripe’s ecosystem.

Ideal candidates have strong quantitative training, hands-on ML/stat modeling experience, and a knack for translating complex analyses into practical business recommendations.