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Fedex Summer Internship – Data Scientist Lead In Gypsum

    Website FedEx

    Job Description:

    The Data Scientist Lead plays a pivotal role, focused on creating and driving data science innovation within Dataworks, helping define and build the Dataworks organization, and enabling the delivery of key business initiatives. S/he acts as a “universal translator” between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams. The Data Scientist Lead will contribute to the creation and adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. S/he will work with large data sets and solve difficult analytical problems, applying advanced methods. S/he will lead the creation and implementation of solutions from concept to production, using current and emerging technologies to evaluate trends and develop actionable insights and recommendations. Day-to-day, s/he will be deeply involved in code reviews and large-scale deployments. S/he will also provide mentorship and guidance to junior data scientists to support the continued training and up-skilling of the Data Science team.

    Job Responsibilities:

    • Understanding in depth both the business and technical problems Dataworks aims to solve
    • Exploring data and crafting models to answer core business problems that may not have a common blueprint
    • Leading the invention of new approaches and algorithms for tackling data intensive problems
    • Pioneering R&D efforts to rapidly understand and assimilate state of the art methods
    • Scaling up from “laptop-scale” to “cluster scale” problems by leading efforts to standardize and industrialize solutions
    • Delivering tangible value very rapidly, collaborating with diverse teams of varying disciplines
    • Interacting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvement
    • Codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases

    Job Requirements/Qualifications:

    • Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
    • A compelling track record of Data Science / Engineer expertise, designing and deploying large scale technical solutions, which deliver tangible, ongoing value
    • Direct experience having built and deployed robust, complex production systems through Cloud technologies 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
    • Demonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver value
    • An ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
    • Ability to work with distributed teams on code-based deliverables using version control
    • Solid theoretical grounding in the mathematical core of the major ideas in data science

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