Applied Scientist III, Sponsored Products
Core
Develop rigorous methods using experimentation, causal inference, and machine learning to understand how traffic sources and customer journeys influence purchasing and revenue for Amazon's Sponsored Products.
Role type
Senior Applied Scientist (Measurement Science & Causal Inference)
Builds
Measurement frameworks, attribution models, and diagnostic tools for advertising campaigns.
Domain
E-commerce advertising, measurement science, causal inference
Deliverable
production ML models
Required skills
Causal inference, experimentation design, statistical analysis, machine learning, deep learning, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, large-scale distributed systems
Responsibilities
Develop methods to separate correlation from true business impact; drive design of scientifically complex software solutions; define long-term science vision and roadmap; translate complex findings into recommendations for partners; mentor junior scientists.
Seniority
Senior, hands-on IC with research leadership