Amazon
Data Scientist, Region Flexibility
$183K–$248K
Sunnyvale, CA · Full-time · Posted Jul 20, 2026
- Experience
- 5+ years with data querying, scripting, or statistical/mathematical software; 4+ years as a data scientist; 2+ years of data visualization is preferred.
About the job
Develop data-driven models and automation to help Amazon services adopt new AWS regions, predict the impact of regional changes, and improve regional flexibility and resilience.
What you'll do
- Build models to understand data set and service relationships and predict the impact of region changes.
- Identify adoption enablers and blockers for region flexibility and develop automation capabilities.
- Influence technical decisions and collaborate with product and technical leaders across Amazon.
What they ask for
- 5+ years of experience with data querying languages, scripting languages, or statistical/mathematical software.
- 4+ years of data scientist experience.
- Experience with statistical models, such as multinomial logistic regression.
Nice to have
- 2+ years of data visualization experience using AWS QuickSight, Tableau, R Shiny, or similar.
- Experience managing data pipelines; experience as a leader and mentor on a data science team.
Pay
USD 183,000.00 - 247,600.00 annually (base salary)
Tools
SQL, Python, R, SAS, Matlab, AWS QuickSight, Tableau, R Shiny
AI focus
Uses machine learning and generative AI to improve user experience, automation, service resilience, and operational efficiency.
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