AWS is revolutionizing technology and business through better cloud engineering, and at the core of that revolution is the way we think about networking at enormous scale. AWS Networking Data Science steers the ship for the fastest growing network in the world, and we rely on scientific judgement supported by modeling, statistical inference, timeseries forecasting, machine learning, and graph algorithms to make every critical decision. We’re looking for a Data Scientist with unfettered curiosity and a drive to solve major research challenges at the intersection of business and engineering. You are skeptical. When someone gives you a data source, you pepper them with questions about sampling biases, accuracy, and coverage. When you’re told a model can make assumptions, you aggressively try to break those assumptions. You have passion for excellence. The wrong choice of analysis could cost the business dearly. You maintain rigorous statistical standards and take ownership of the outcome your
B.S. degree in a quantitative field Experience with a programming language (Python, C++), data modeling, and common database query syntax Background in probability and statistics, familiarity with common statistical methods 3+ years analyzing and interpreting data Masters or PhD in a quantitative discipline with high impact research 5+ years experience analyzing large datasets Experience with designing and managing primary research Interactive data visualization experience (D3, etc) Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity