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FedEx Dataworks is hiring for an fresher entry level REMOTE Data Scientist I role in US

Position: Data Scientist I Entry-level individual contributor role within the professional category Supports data-driven problem solving and insight generation using modern data science and machine learning techniques Reports to senior data scientists and collaborates across interdisciplinary teams Company: FedEx Dataworks A division within FedEx focused on digital transformation through advanced data capabilities Aims to bridge physical and digital aspects of the FedEx logistics network Promotes smarter, more efficient global supply chains using data science Location: Memphis, TN, United States Remote option available across the United States Job type: Full-time position Job mode: Remote Job requisition id: P25-217686-1 Years of experience: 0-3 years Open to recent graduates with Master’s degree or Bachelor’s degree with relevant experience Company Description FedEx Dataworks is an innovative arm of FedEx, built to transform supply chains...

FedEx Dataworks is hiring for Data Scientist roles at all the levels in US

Position: Data Scientist - All Levels Company: FedEx Dataworks Location: 3680 Hacks Cross Road, Memphis, TN 38125-8800, United States Remote work available Job Type: Full-time Job Mode: Regular / Remote Worker Job Requisition ID: P25-101260-3 Years of Experience: Varies by role level (from 0 to 7+ years) Company Description: FedEx Dataworks, an innovation-focused division of FedEx, is dedicated to integrating physical and digital operations to create a seamless logistics network. The company utilizes advanced data analytics to streamline processes, optimize operations, and deliver enhanced services. By harnessing real-time data insights, FedEx Dataworks aims to revolutionize supply chain logistics and drive efficiency. The organization fosters a culture of innovation, where collaboration between data scientists, engineers, and business professionals leads to impactful solutions. FedEx Dataworks plays a crucial role in modernizing logistics through the use of cutting-edge machine learni...