Data Scientist II, International Machine Learning
Core
Build and deploy advanced machine learning systems to optimize millions of transactions, manage risk models, and improve catalog/address quality for Amazon's International Consumer Businesses.
Role type
Senior IC machine learning engineer (credit risk & fintech)
Builds
Scalable ML models for credit lifecycle (pre-underwriting, underwriting, collections), fraud detection, and large-scale data optimization
Domain
Fintech, lending, credit risk, and large-scale e-commerce optimization
Deliverable
production ML models
Required skills
SQL, Python, R, SAS, Matlab, machine learning/statistical modeling, theoretical model application, quantitative analysis, large-scale data analysis, model validation and maintenance
Preferred skills
Fintech/lending/credit risk domain expertise, credit lifecycle development experience, Ph.D. in STEM, experience at large technology companies
Technologies
SQL, Python, R, SAS, Matlab
Responsibilities
Design, develop, evaluate, and deploy innovative and highly scalable ML models; Analyze and extract information from large historical business data to automate and optimize processes; Work closely with software engineering teams to drive real-time model implementations; Work with business partners to identify problems and propose ML solutions; Establish scalable, efficient, automated processes for model development and maintenance; Lead projects and mentor scientists and engineers in ML techniques
Seniority
Senior, hands-on IC with mentorship responsibilities
