The opportunity
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…
What you'll do
Applying probability distributions, statistical inference, and hypothesis: testing to quantify uncertainty and evaluate business outcomes
Using Python or R for data analysis, data processing, visualizations,: statistical modeling, machine learning, predictive analytics, automation, and implementing causal inference and experimental analyses
Building, training, and evaluating predictive models across regression and: classification tasks for bias-variance trade-offs and model selection
Modeling temporal dependencies, seasonality, and trend decomposition to: generate and evaluate time-series predictions
Identifying structural patterns, clusters, and outliers in unlabeled data
Deploying models in production and adjusting model thresholds to improve performance
What they're looking for
- Ambitious builder: You’re energized by building solutions without clear precedent and solving problems with far-reaching consequences. Successful Stripes are deeply curious, and prefer the joy of discovery to the comfort of certainty.
- Rigorous thinker: You appreciate that things worth doing are rarely simple. You enjoy working on problems that have never been tackled before.
- Adaptable problem solver: You adapt quickly and treat obstacles as opportunities. At Stripe we embrace kindness while encouraging Stripes to take measured risks and act boldly, even in the absence of consensus.
- Enrolled in a quantitative PhD program (e.g. Data Science, Statistics,: Economics, Mathematics, etc.) with the expectation of graduating in December 2027 or spring/summer 2028
- Experience with SQL and a scientific computing language (such as Python, R, etc.)
- Proficiency with AI tools to accelerate model development, analysis, and coding
- Experience communicating and collaborating with multidisciplinary stakeholders in a team environment
- Experience writing and debugging data pipelines