Applied Scientist III, Demand Technology, Amazon Demand Side Platform, Bravo Non-endemic
Core
Design and improve machine learning models for conversion prediction, bidding, ranking, and measurement to optimize advertiser outcomes like cost per acquisition and return on ad spend for non-endemic brands.
Role type
Senior Applied Scientist (Machine Learning)
Builds
Production ML models for real-time bidding and response prediction pipelines
Domain
Performance advertising, machine learning, causal inference
Deliverable
production ML models
Required skills
machine learning model development, neural deep learning methods, experiment design, offline validation, online experimentation, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, causal inference, data-efficient learning
Responsibilities
Own the applied-science roadmap for non-endemic performance workstreams, define measurement methodology for off-Amazon attribution, partner with engineering and product teams on enterprise advertiser accounts, mentor scientists and engineers
Seniority
Senior, hands-on IC
