Pricing Applied Scientist, Pricing Science
Core
Build production-scale causal inference and machine learning systems to power Amazon's pricing decisions, bridging econometric analysis and ML pipelines.
Role type
Senior Applied Scientist (Causal Inference & Pricing)
Builds
CATE estimation models, analysis workflows for pricing weblabs, reusable causal ML infrastructure
Domain
E-commerce, Pricing Science, Causal Inference
Deliverable
production ML models
Required skills
Causal inference, CATE estimation, Econometric analysis, Machine learning, Numerical optimization, Algorithms and data structures, Parallel and distributed computing, High-performance computing, Java, C++, Python
Preferred skills
Unix/Linux, Professional software development
Technologies
Java, C++, Python
Responsibilities
Build CATE estimation models, design analysis workflows for pricing weblabs, develop reusable causal ML infrastructure
Seniority
Senior, hands-on IC