Amazon Applied Scientist Network Capacity Forecasting 

United States, Washington, Seattle 

671634440

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Network Capacity Forecasting (NCaF) team mission is to support AWS Networking teams with data-driven planning to build and maintain a cost-effective network. We achieve this by creating services and platforms leveraging rigorous scientific modeling, state-of-the-art ML tools and software best practices. Our services enable analytics, modeling, and forecasting of demands, including requirements from customers and services as well as network hardware and associated materials required. Our platforms enable productization of ML enabled services across networking teams.
Work/Life Balance
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language

- Experience in professional software development