Data Scientist, CloudTune

Amazons eCommerce Foundation (eCF) organization provides the core technologies that drive and power Amazons Stores Digital and Other (SDO) businesses. Millions of customer page views and orders per day are enabled by the systems eCF builds from the ground up. CloudTune within eCF empowers growth and business agility needs by automatically and efficiently managing AWS capacity and business processes needed to safely meet Amazons customer demand. CloudTune serves its primary customers internal software teams through forecast-driven automation of cost controllership capacity management and scaling. We predict expected load and drive procurement and allocation of AWS capacity for new product launches and high-velocity events like Prime Day and Cyber Monday.

CloudTune is looking for a Data Scientist to join our forecasting and optimization team. The team develops sophisticated algorithms that combine machine learning-based demand forecasting with mathematical optimization to solve large-scale capacity planning problems under uncertainty. We work with massive datasets spanning thousands of availability zone and instance family combinations across global regions to determine optimal resource allocation strategies that balance infrastructure holding costs against service availability requirements. These models directly inform multi-million dollar capacity investment decisions and drive automated procurement retention and release policies across Amazons compute infrastructure.

As a Data Scientist in CloudTune you will work with other scientists software engineers data engineers and product managers on a variety of important research problems in the areas of stochastic optimization time series modeling and operations research. You will work on statistical problems with a high level of ambiguity. You will analyze and process large amounts of data develop new algorithms and improve existing approaches based on statistical models machine learning algorithms and big data solutions to automatically scale Amazons compute infrastructure optimizing the balance between availability risk and cost efficiency for all of Amazon businesses.

Key job 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


- 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 Masters degree or above in Science Technology Engineering or Mathematics (STEM)

- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience effectively communicating complex concepts through written and verbal communication
- Knowledge of relevant statistical measures such as confidence intervals significance of error measurements development and evaluation data sets etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 136000.00 - 184000.00 USD annually