Research Scientist, Network Capacity Science

Key Skills

Java Programming, Analytical and Problem solving, Leadership, Python Programming, C++, C Programming, SQL, AWS, Machine learning techniques, MATLAB Programming, Data Modeling, R Programming, SAS, C# Programming, Statistical modeling, Large scale data processing

Job Description

Are you interested in the world's largest Cloud Network? Are you interested in applying new methods to extremely hard problems? Do you want to play a key role in the future of AWS's infrastructure? Come and join us! The Network Capacity Science team is looking for Scientists to join our team. Our team owns multiple forecasts and tools that drive the decision-making behind the world's largest Network, and we are looking for excellent Scientists that can help us answer tough and ambiguous questions. Working collaboratively, you will improve and develop solutions to complex problems, such as forecasting the Network traffic across Data-Centers worldwide, or forecasting how much physical growth our infrastructure will see in the next decade. You will work with a team of Scientist and Software Engineers among others to test your solutions and push them into production so the business can meet its goals.

Key job responsibilities

About Us

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life.

BASIC QUALIFICATIONS

• PhD or equivalent Master's degree plus 4+ years of experience in a quantitative filed
• 1+ years of experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems
• 2+ years of research experience in a quantitative filed
• 2+ years of experience investigating the feasibility of applying scientific concepts to business problems and products
• 2+ years of experience in the following skill(s): programming with a mathematical programming language such as R, MATLAB, or SAS or major programming language such as Python, Java, C++, C#, or C

PREFERRED QUALIFICATIONS

• PhD or equivalent Master's degree plus 5+ years of experience in a quantitative filed
• Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems
• Experience working in very large scale problems and applying simple solutions that demonstrate deep understanding of the problems
• Experience investigating the feasibility of applying scientific concepts to business problems and products
• 3+ years of experience in the following skill(s): R, MATLAB, or SAS or major programming language such as Python, Java, C++, C#, or C
• Prior work experience and/or academic research in area of Time Series, Network Modelling or equivalent