Data Scientist II, Seller Fee Science
Core
Apply data analysis, econometrics, machine learning, and AI to measure and predict Amazon's P&L with emphasis on fee revenue, shaping how fees are decided, interpreted, and planned.
Role type
Senior IC data scientist (fee science & econometrics)
Builds
Production ML models and simulation systems for fee revenue measurement, prediction, and P&L planning
Domain
E-commerce marketplace economics and fee strategy
Deliverable
production ML models
Required skills
econometrics, machine learning, statistical modeling, data querying (SQL), scripting (Python/R/SAS/Matlab), simulation methods, mathematical modeling, research paper authorship, mentoring researchers, AI system evaluation
Preferred skills
Ph.D. in STEM, GenAI benchmarking, cross-disciplinary project leadership, quantitative business decision-making
Technologies
Python, R, SAS, Matlab, SQL
Responsibilities
Translate ambiguous business challenges into well-defined scientific problems; Identify opportunities to improve fee revenue measurement and prediction; Design and deploy econometric or AI/ML models for fee and P&L analysis; Partner with finance and strategy teams to formulate questions and productionalize solutions; Apply rigorous simulation methods to validate models and quantify business impact; Communicate scientific innovations to cross-functional stakeholders
Seniority
Senior, hands-on IC with mentoring responsibilities