Amazon Applied Scientist Core Network 

United States, Washington, Seattle 

435252826

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.About the team
Why AWS*
*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.*Work/Life Balance*
*Inclusive Team Culture*
*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.Seattle, WA, USA

- Experience building machine learning models or developing algorithms for business application
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
- Experience programming in Java, C++, Python or related language

- Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in time series forecasting.