PhD Data Scientist, Intern

📋 Description

• Applying probability distributions, statistical inference, and hypothesis testing to quantify
• Using Python or R for data analysis, data processing, visualizations, statistical modeling, machine
• Building, training, and evaluating predictive models across regression and classification tasks for
• Modeling temporal dependencies, seasonality, and trend decomposition to generate and evaluate
• Identifying structural patterns, clusters, and outliers in unlabeled data
• Deploying models in production and adjusting model thresholds to improve performance

🎯 Requirements

• Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics
• 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

🎁 Benefits

• Competitive internship program with high expectations
• Opportunity to work alongside creative and technically rigorous data analysts and scientists
• Own problems end to end with support from manager and teammates
• Collaborate with teams across Stripe including Fraud Engineering, Financial Crimes Engineering, and