Data Scientist III, Amazon 1P Credito, Payments

Use machine learning and analytical techniques to create scalable solutions for business problems. Analyze and extract relevant information from large amounts of Amazon’s historical business data. Design, develop, evaluate and deploy innovative and highly scalable machine learning models for predictive learning in credit risk applications.

Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with data scripting languages (e.g. SQL, Python, R) and statistical models such as multinomial logistic regression. Experience working in the credit risk domain and building risk, income, and/or fraud models.