Senior Applied Scientist, AWS Billing
Core
Build production time-series anomaly detection models to identify usage and invoice issues, ensuring billing accuracy.
Role type
Senior Applied Scientist (Time-Series Anomaly Detection)
Builds
Production ML models for usage metering and bill computation
Domain
Cloud infrastructure billing / Time-series analysis
Deliverable
production ML models
Required skills
time-series anomaly detection, neural deep learning, Java, C++, Python, machine learning
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, large scale distributed systems (Hadoop, Spark)
Responsibilities
Build anomaly detectors to find issues in usage and invoices, collaborate with usage metering and bill computation teams
Seniority
Senior, hands-on IC
Sourced via amazon · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.