Experimentation (SimEx) team Supply Chain, Inventory
Are you seeking an environment where you can drive innovation? Do you want to apply machine learning, data engineering, simulation, and advanced statistical modeling to solve real world problems in Supply Chain, Inventory Management, and Simulation? Do you want to play a crucial role in the future of Amazon's e-commerce business? Every time an Amazon customer makes a purchase, a number of systems are involved: these systems help optimize inventory acquisition, enable a number of purchase options, ensure great pricing, store products so they are available for fast delivery and minimize package frustration. The Supply Chain Optimization Technology (SCOT) Group develops and manages these systems. We are central to Amazon customers' ability to find what they want and get it when they want it. The Simulation and Experimentation (SimEx) team is responsible for designing and executing experiments that measure the impact of SCOT initiatives, both via massive discrete-event simulation and in-production
· Master's Degree in statistics, biostatistics, machine learning, economics, quantitative finance or related field with 3 years relevant industry experience · Problem solving and analytical abilities · Proficiency in statistical software such as R, SAS, STATA etc. · Experience with SQL · Strong verbal and written communication skills and an ability to work in a team environment · Experience with AB testing, discrete-event simulation · Experience with causal inference theory · Experience with observational study design and analysis · Experience with scripting languages such as python · Experience