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 recent business opportunities.

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. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between.

The Link Data

Science team at Stripe is the dedicated data science and analytics partner for Link - currently with a strong product market fit in offering one-click checkout to shoppers who shop across Stripe’s merchant network, trusted by more than 300M users.

We are hiring for two data scientists dedicated to: Local Payment Methods - We want to enable consumers across the globe to be able to pay using their preferred local payment method like UPI, PIX etc. In this role, you get to drive the enablement and support of more local payment methods, run analyses to surface friction points and improve the product, and be a pioneer in shaping consumer payment method preferences.

Link Consumer

Team - Beyond the one-click accelerated checkout product,



the Link team has also shipped a lot of value-added features for our consumers. On the Link App you can review your subscriptions, add more than one payment methods so you can choose the right payment method that maximizes your rewards on checkout without having to manually fill it up anywhere, and even an agentic AI-wallet that allows your preferred AI model to transact on your behalf without exposing your payment credentials. You will 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. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

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 Python ~ 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 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 A PhD or MS in a quantitative field (e.g.,

📌 Data Scientist - Data Science - F/H (Toronto)
🏢 Stripe
📍 Toronto