Senior Applied Scientist, AWS Central Economics and Science
Core
Build ML systems with causal modeling foundations to provide rigorous recommendations for AWS sales optimization, including incentive design and intervention strategies.
Role type
Senior Applied Scientist (Causal ML & Economics)
Builds
ML-based recommendation systems and incentive mechanisms for AWS sales channels (direct sellers, partners, Marketplace)
Domain
Cloud computing sales operations, causal inference, economic modeling
Deliverable
production ML models
Required skills
causal inference, machine learning, neural deep learning, Java, C++, Python, statistical methods
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, large scale distributed systems (Hadoop, Spark)
Technologies
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark
Responsibilities
Build and deploy machine learning models emphasizing causal inference; define and model incentives for AWS sales channels; collaborate with business stakeholders to validate scientific solutions; promote findings at internal conferences
Seniority
Senior, hands-on IC
