Job Description
About The Company Stripe is a leading financial infrastructure platform that empowers businesses worldwide. Serving millions of companies ranging from global enterprises to innovative startups, Stripe provides the tools necessary for accepting payments, expanding revenue streams, and unlocking new business opportunities. Our mission is to increase the GDP of the internet by creating a more inclusive and accessible digital economy. With a focus on innovation and impact, Stripe offers an exceptional environment for professionals to contribute to transformative projects that shape the future of commerce and finance. Join us to be part of a team dedicated to building a more connected and economically vibrant world.
About The Role We are seeking talented Data Scientists to join our dynamic Data Science team at Stripe. In this role, you will collaborate closely with cross-functional teams—including Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market—to leverage data insights for strategic decision-making. Your primary responsibilities will involve analyzing complex datasets, building machine learning and statistical models, and running experiments to optimize our systems and processes. You will play a vital role in understanding user behavior, preventing fraud, enhancing product features, forecasting key business outcomes, managing liquidity, and refining marketing and sales strategies. This position offers a unique opportunity to influence multiple facets of our business by transforming data into actionable insights that drive growth and operational excellence.
Qualifications
- PhD + 3 years, MS/MA + 6 years, or BS/BA + 8 years of experience in data science or quantitative modeling
- Proficiency in SQL and a programming language such as Python or R
- Strong expertise in machine learning, statistics, optimization, product analytics, causal inference, and experimentation
- Experience working with cross-functional teams to deliver impactful results
- Excellent communication skills with the ability to present complex findings clearly
- Proven ability to manage multiple projects with high attention to detail
- Solid business acumen with experience translating analysis into actionable recommendations
- Innovative mindset with a willingness to challenge assumptions and explore new approaches
Responsibilities
- Partner with various teams to understand their data needs and develop analytical solutions
- Design and implement machine learning models and statistical analyses to solve complex problems
- Run A/B tests and causal inference studies to evaluate product features and business initiatives
- Build scalable data pipelines and tools to support ongoing data analysis and modeling efforts
- Communicate insights and recommendations to stakeholders to inform strategic decisions
- Monitor and optimize model performance in production environments
- Collaborate with engineering teams to deploy models and integrate data solutions into products
- Continuously explore new data sources, techniques, and methodologies to enhance analytical capabilities
Benefits
- Competitive salary and performance-based bonuses
- Comprehensive health, dental, and vision insurance plans
- Generous paid time off and holidays
- Opportunities for professional development and continuous learning
- Flexible work arrangements and remote work options
- Inclusive and collaborative work environment
- Access to cutting-edge tools and technologies
Equal Opportunity
Stripe is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected status. We believe that a diverse team fosters innovation and drives our mission forward, and we welcome applicants from all backgrounds to join us in shaping the future of digital commerce.