Connecting the physical and digital sides of the FedEx network to meet today's needs and address tomorrow's challenges, and making supply chains work smarter for everyone
Requirements
- Technical background in computer science, software engineering, database systems, distributed systems
- Fluency with distributed and cloud environments and a deep understanding of how to balance computational considerations with theoretical properties
- Detailed knowledge of the Microsoft Azure tooling for large-scale data engineering efforts and deployments is highly preferred
- Direct experience having built and deployed robust, complex production systems that implement modern, data scientific methods at scale
- Ability to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacle, and to work through problems as they are still being defined
- Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
- Use of agile and develops practices for project and software management including continuous integration and continuous delivery
Responsibilities
- Understanding in depth both the business and technical problems Dataworks aims to solve
- 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 technique
- Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
- Codifying 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
- Supports the design, build, test and maintain data pipelines at big data scale
Other
- 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
- Five to Seven (5 - 7) years equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics
- Strong oral and written communication skills
- Experience providing leadership in a general planning or consulting setting
- Experience as a leader or a senior member of multi-function project teams
