Data Scientist, CloudTune
Amazon· eCommerce Foundation (eCF)
Hybrid (Seattle, WA)$136k - $184kFull-timePosted yesterday
About the role
Data Scientist to join CloudTune within Amazon's eCommerce Foundation (eCF) forecasting and optimization team. Develops machine learning and optimization models for multi-year capacity demand forecasting and automated AWS capacity planning to balance cost and availability for Amazon’s compute infrastructure.
Responsibilities
- - Process and analyze large data sets, mining additional data sources as needed
- - Build statistical models and drive scalable solutions for multi-year capacity demand forecasting horizons
- - Create, enhance, and maintain technical documentation, and present to other scientists and business leaders
- - Process and analyze large-scale operational data to identify patterns and inform model development
- - Create, enhance, and maintain technical documentation, and present research findings to scientists, engineering teams, and senior leadership
Qualifications
- - 2+ years of data scientist experience
- - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- - 1+ years of working with or evaluating AI systems experience
- - Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- - Knowledge of machine learning concepts and their application to reasoning and problem-solving
- - Currently has, or is in the process of obtaining, a Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
Skills
Required:Data analysisStatistical modelingMachine learningSQLPython
Benefits
- - Sign-on payments and restricted stock units (RSUs) in the compensation package
- - Health insurance (medical, dental, vision, prescription) and life insurance options
- - 401(k) matching, paid time off, parental leave
- - Comprehensive benefits overview available at Amazon benefits page
Last updated Oct 25, 2026. Interested? Apply on the company site.
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