Are you driven to leverage your strong quantitative analysis and skills to solve complex and large-scale challenges? This job for you! Amazon's Modeling and Optimization team (MOP) is looking for motivated individuals with strong analytical skills to evolve one of the most complex logistics systems in the world. Amazon’s extensive logistics system comprises thousands of fixed infrastructure nodes with millions of possible connections between them. Billions of packages flow through this network on a yearly basis, making the impact of optimal improvements truly unparalleled. This magnificent challenge is a terrific opportunity to analyze Amazon data and understand, model, simulate, optimize, and reshape one of the world's most complex systems. Your main focus will be on developing predictive models, simulation, visualization, and support structures for data analysis to identify and evaluate opportunities to improve customer experience, network speed, cost, the efficiency of capital investment,
· M.S. or equivalent in Statistics, Mathematics, Engineering, Computer Science, or related analytical disciplines. · Deep understanding of regression modeling, forecasting techniques, time series analysis, machine-learning concepts such as supervised and unsupervised learning, classification, random forest, etc. · Experience using statistical, simulation, visualization, and machine-learning tools and commercial packages · Experience with big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via AWS technologies, SQL, and data pipelines · Experience