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About the Role
Data Scientists at Stripe partner deeply with teams across the company to ensure that our users, products, and business have the models, data products, and insights needed for responsible decision-making and growth. You will play a crucial role in optimizing systems and leveraging data for strategic business decisions, utilizing techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and analytics.
Responsibilities
- Partner with Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams.
- Optimize systems and leverage data to make strategic business decisions.
- Ensure company strategy, products, and user interactions make smart use of rich data.
- Utilize techniques such as machine learning, statistical modeling, causal inference, optimization, experimentation, and analytics.
Requirements
- 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 working with cross-functional teams to deliver results.
- Ability to communicate results clearly with a focus on driving impact.
- Demonstrated ability to manage and deliver on multiple projects with 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.
Skills
- Machine learning
- Statistical modeling
- Causal inference
- Optimization
- Experimentation
- Product analytics
- SQL
- Python
- R
- AI tools
Experience Level
- 3 years post-PhD
- 6 years post-MS/MA
- 8 years post-BS/BA
Education Level
- PhD in a quantitative field
- MS/MA in a quantitative field
- BS/BA in a quantitative field
About the Company
- Stripe is a financial infrastructure platform for businesses.
- Millions of companies use Stripe to accept payments, grow revenue, and accelerate new business opportunities.
- Stripe's mission is to increase the GDP of the internet.