Sr. Applied Scientist, Amazon Private Brands, Amazon Private Brands Selection Guidance
Core
Apply Generative AI, Machine Learning, Statistics, and Economics to drive Amazon Private Brands product assortment, strategic business decisions, and product inputs like title, price, and merchandising.
Role type
Senior Applied Scientist (Generative AI/ML/Economics)
Builds
Production ML models and prototypes for private brand product selection and pricing optimization
Domain
E-commerce / Retail / Private Brands
Deliverable
production ML models
Required skills
Generative AI, Machine Learning, Statistics, Economics, Named Entity Recognition, Large Language Models, Pricing Optimization, Agentic AI, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, large scale distributed systems
Responsibilities
Partner with business stakeholders to frame ambiguous business problems as science problems; Adapt and apply state-of-the-art machine learning solutions; Invent novel science solutions, develop prototypes, and deploy production software; Review and guide science solutions across the team; Publish and socialize research; Establish repeatable applied science practices
Seniority
Senior, hands-on IC with mentorship