Job Description
The R2L team is responsible for building the next generation supply chain for Amazon’s world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other - Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or PhD and 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - Experience working in a fast-paced, team environment - - Ability to dive deep into complex technical problems and drive change. - Excellent problem solving skills with a strong attention to detail.
