Data Scientist, Region Flexibility
Core
Designing and executing experiments to enable Amazon businesses to leverage new AWS regions, improving efficiency, scale, and service resilience through data-driven automation and modeling.
Role type
Senior IC data scientist (infrastructure & regional automation)
Builds
Data-driven automation capabilities for regional placement, cross-region libraries, and tooling for AWS infrastructure teams.
Domain
Cloud infrastructure, distributed systems, AWS technologies
Deliverable
production ML models
Required skills
SQL, Python, statistical modeling (multinomial logistic regression), data querying, scripting
Preferred skills
data visualization (QuickSight, Tableau, R Shiny), data pipeline management, team leadership and mentorship
Technologies
AWS QuickSight, Tableau, R Shiny, Python, SQL, R, SAS, Matlab
Responsibilities
Influence technical decisions on region flexibility offerings, build models to predict the impact of region changes, identify enablers and blockers of adoption, provide offerings to mitigate region change impact.
Seniority
Senior, hands-on IC