Senior Applied Scientist, Amazon Leo Data Science Platform
Core
Building ML models and systems to detect fraud, monitor customer experience, and resolve issues in Amazon's low Earth orbit satellite network.
Role type
Senior Applied Scientist (ML & Analytics)
Builds
Fraud detection rules and ML models for satellite network devices
Domain
Telecommunications / Satellite Networks / Fraud Prevention
Deliverable
production ML models
Required skills
Machine learning, Statistical modeling, Neural deep learning, Data querying, Model productionalization, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, large scale distributed systems
Responsibilities
Identify and isolate data issues, build and evaluate ML models, deploy models to production, collaborate with engineering and operations teams to prevent fraud
Seniority
Senior, hands-on IC
Sourced via amazon · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
