Amazon Web Services (AWS) is the leading provider of cloud computing services in the world, offering a broad range of highly reliable, scalable, low-cost cloud services across over 190 countries. AWS infrastructure powers hundreds of thousands of enterprise, government and start-up businesses, including industry leaders such as Amazon.com, Netflix, Expedia, Airbnb, and many more, and renowned organizations such as NASA, the Centers for Disease Control and Prevention (CDC) and Coursera. Though already very successful AWS continues to be a high-growth, fast-moving division within Amazon with a start-up mentality where new and diverse challenges arise every day. The AWS Central Economics team includes renowned experts in the area of forecasting, causal inference and machine learning and applies economic theory and econometric analysis to build models, systems and tools that inform critical decisions for the AWS business. Such decisions include service valuation and pricing, infrastructure
· Bachelor's degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with 5 years of working experience as a Data Scientist · Proficient with data analysis and modeling software such as Spark, R, etc. · Proficient with using scripting language such as Python and data manipulation/analysis libraries such as Scikit-learn and Pandas for analyzing and modeling data. · Experienced in using multiple data science methodologies to solve complex business problems. · Experienced in handling large data sets using SQL and databases in a business environment. · Strong