Building tools, platforms and pipelines to enable teams to clearly and cleanly analyze data, build models and drive decisions
Scaling up from “laptop-scale” to “cluster scale” problems, in terms of both infrastructure and problem structure and techniques
Delivering tangible value very rapidly, collaborating with complementary teams of varying backgrounds and subject areas
Championing the adherence to best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and ensure smooth deployments to downstream operational systems
Design, implement and optimize ETL processes, data ingestion, and integration workflows on cloud environments
Implement best practices for data management, including data quality and security. Bachelor’s Degree in Information Systems, Computer Science or a quantitative discipline such as Mathematics or Engineering and/or equivalent formal training or work experience. Three to Four (3 - 4) years equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics. Extensive knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines. Extensive knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a senior member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.