Data Scientist, Network Fabric Engineering
Core
Define data science strategy and metrics for AWS Networking's global network availability, focusing on predictive risk models, automation evaluation, and operational analytics.
Role type
Strategy-level data scientist (network operations)
Builds
Predictive risk/reliability models, operational dashboards, and evaluation pipelines for network automation agents
Domain
Cloud networking infrastructure and network operations
Deliverable
production ML models | dashboards & analysis
Required skills
predictive modeling, statistical analysis, experimental design, data strategy, root-cause attribution, event-driven pipeline design
Preferred skills
GenAI model benchmarking, large tech company experience, reasoning with ML concepts
Technologies
Python, SQL, Amazon QuickSight, Amazon CloudWatch, AWS Lambda, Amazon S3, Amazon Athena
Responsibilities
Define data science strategy and success metrics; design predictive risk models using telemetry; own evidence for program decisions; build operational analytics dashboards; run experiments to evaluate automation rollouts; drive data quality improvements; review experiment designs for statistical rigor
Seniority
Senior, hands-on IC with strategy focus