Sr. Principal Scientist, Stores Economics and Science
Core
Science leader providing structure for complex business problems, validating ML models on large-scale data, and translating analysis into high-impact policies and programs for Amazon's business.
Role type
Sr. Principal Scientist (Applied Economics & ML)
Builds
Scientific models, data analysis frameworks, and validation pipelines for Amazon's buyer-seller network economy.
Domain
E-commerce, Applied Economics, Machine Learning
Deliverable
production ML models
Required skills
Applied economic analysis, Econometrics, Machine learning model validation, Large-scale data analysis, Statistical modeling, Scripting (R/Python/Matlab/STATA), Cross-functional collaboration
Preferred skills
High-quality analysis of data at scale, Complex system communication, Strategic execution
Technologies
R, Python, Matlab, STATA
Responsibilities
Own development of scientific models, Manage data analysis and experimentation with scientists and engineers, Communicate model properties to business partners, Incorporate feedback into projects, Estimate and validate ML models on large scale data, Turn analysis results into actionable policies and programs
Seniority
Principal, strategy & mentorship