linear and nonlinear models time series analysis random forest gradient boosted machines neural networks unsupervised methods dimensionality reduction clustering etc extensive experience querying relational data systems for etl and data integration tasks experience working in a cloudcomputing environment such as aws azure gcp etc exceptional communications skills with ability to present to technical and business audiences including executivelevel sponsors preferred qualifications phd degree knowledge of any of the following natural language processing text mining experimental design computer vision image processing bayesian networks reinforcement learning collaborative filtering networkgraph mining combinatorial optimization linear mixedinteger programming discreteevent stochastic simulation experience using sparkhadoop systems for distributed analytics and data processing knowledge of h2oai tensorflow sas proficiency in scaling and operationalizing data science models in production settings prior exposure to the transportation or logistics industry this position offers an exceptional opportunity to work for a fortune 50 industry leader if you are selected you will join our dynamic technology team in making a difference to our business and customers do you think you have what it takes prove it at ups ambition knows no time zoneups is an equal opportunity employer ups does not discriminate on the basis of racecolorreligionsexnational originveterandisabilityagesexual orientationgender identity or any other characteristic protected by law