Job Description
The NASC & TOM Science team owns Operations Research, Machine Learning, and AI projects across the North America Sort Center (NASC) and Transportation Operations Management (TOM) planning and operations - Master's degree in Science, Technology, Engineering, or Mathematics (STEM) - 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 - Proficiency in statistical modeling and machine learning — time-series forecasting, regression, tree-based methods, and deep learning. - Demonstrated ability to communicate technical results to non-technical business audiences.
