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Data Scientist, CloudTune

Amazon· eCommerce Foundation (eCF)
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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.

About Amazon

Amazon.com, Inc. or its affiliates

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