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About the Role
CloudTune, within Amazon's eCommerce Foundation (eCF), empowers growth and business agility by automatically managing AWS capacity and business processes. The team develops sophisticated algorithms combining machine learning-based demand forecasting with mathematical optimization to solve large-scale capacity planning problems under uncertainty, informing multi-million dollar capacity investment decisions and driving automated procurement policies.
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
Requirements
- 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
- Data querying languages (e.g. SQL)
- Scripting languages (e.g. Python)
- Statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
- Machine learning/statistical modeling data analysis tools and techniques
- AI systems
- Quantitative analysis
- Machine learning concepts
- Time series modeling
- Stochastic optimization
- Operations research
Location
- USA, WA, Seattle
Work Type
- Full-time
Experience Level
- 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
Education Level
- Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Salary/Compensations
- 136,000.00 - 184,000.00 USD annually
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- 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
- Parental leave
About the Company
- Amazon's eCommerce Foundation (eCF) organization provides the core technologies that drive and power Amazon's 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 empowers growth and business agility needs by automatically and efficiently managing AWS capacity and business processes needed to safely meet Amazon's 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.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.