Data Scientist - ML, Experiments & Impact

Monograph; United States; On-site; USD 159,000 - 288,000; Full time

Benefits offered by this job

Equity

Bonus

401(k)

Medical/Dental/Vision

Wellness stipends

Job summary

Stripe is seeking data scientists to partner with Product, Security, Risk, Growth, and other teams. Candidates will build models, run experiments, and leverage analytics to influence product decisions and strategic initiatives across Stripe’s global platforms.

We value deep quantitative expertise, strong communication, and the ability to translate analyses into actionable business guidance, with opportunities to work on production models and experimental designs in a fast-paced environment.

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

• You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions.
• As Data Scientists at Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.

Skills

PhD

Data science experience

SQL

Python/R

Cross-functional teams

Communication skills

Project management

AI tools

Education

PhD

MS/MA

BS/BA

Tools

Python

R

Spark

Hadoop

Job description

Stripe is seeking data scientists to partner with Product, Security, Risk, Growth, and other teams. Candidates will build models, run experiments, and leverage analytics to influence product decisions and strategic initiatives across Stripe’s global platforms.

We value deep quantitative expertise, strong communication, and the ability to translate analyses into actionable business guidance, with opportunities to work on production models and experimental designs in a fast-paced environment.