Senior Applied Scientist,
Pubblicato il 19-10-2026 - Amazon in Italia
AWS Support includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
Do you have proven analytical capabilities to identify business opportunities, develop advanced ML solution, Gen AI products, predictive models and optimization algorithms to help us build state of the art Support organization?
Team AiRES (Analytics, Insights, Research, Engineering and Science) is looking for a passionate Applied Scientist to deliver insights and identify opportunities through the use of statistics, machine learning, and deep learning to drive business and operational improvements. A successful candidate must be passionate about building solutions that will help drive a more efficient operations network and optimize cost. In this role, you will partner with data engineering, Tooling team, operations, Training, Customer Service, Capacity planning and finance teams,
driving optimization and prediction solutions across the network.
At Amazon, we are working to be the most customer-centric company on earth. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management.
Team AiRES is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background who will be responsible for establishing scalable, efficient, automated processes for carrying out large-scale data analysis, machine-learning mo