Data Scientist
Primary stack
Job description
About the Position
Data Scientist
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the Team
Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact.
Responsibilities
As a Data Scientist at Stripe, 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. Your responsibilities will include:
- Analyzing data to drive business decisions
- Building machine learning and statistical models
- Running experiments to drive impact
- Collaborating with Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams
Requirements
Minimum 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 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
Preferred Qualifications
- Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation
- Experience deploying models in production and adjusting model thresholds to improve performance
- Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
- A builder's mindset with a willingness to question assumptions and conventional wisdom
- Experience with distributed tools such as Spark, Hadoop, etc.
- A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)
We Offer
- Opportunity to work in a mission-driven fintech company
- Collaborative and innovative work environment
- Potential for professional growth and development
About the Company
Stripe is a global technology company building economic infrastructure for the internet. Businesses of all sizes-from new startups to public companies-use Stripe to accept payments, send payouts, and manage their businesses online. Join us in our mission to increase the GDP of the internet.
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