• Senior Machine Learning & A.I. Software Engineer

    Requisition ID
    2018-7676
    Requisition Post Information* : Post End Date
    Full-Time
  • Overview

    Tractor Supply Company (TSCO), the largest retail chain of rural lifestyle products in the United States, is dedicated to enhancing our strong company culture built on our team members’ commitment to our Mission and Values.  With over 1,700 stores in 49 states and an innovative e-commerce platform, Tractor Supply ranks in the Fortune 400 with revenues of $7 billion and growing!

     

    Come grow your career with us as we serve those who live “Life out Here”!

     

     

    The Senior Machine Learning & A.I. Software Engineer is responsible for conducting end-to-end innovation with the businesses, markets, and end-customers by leveraging global teams and the US entrepreneurial and innovative ecosystem.  This position plays a critical role in shaping the innovation agenda and a though leader on AI/ML across the company.

     

    Responsibilities

    1. Perform advanced data analytics, artificial intelligence/machine learning knowledge and experience in combination to interact with stakeholders and identify new problems and opportunities, develop innovative propositions, contribute to intellectual property, and build and pilot first-of-a-kind demonstrators.
    2. Drive strategic innovations into compelling business propositions taking into account e.g., technology readiness levels, consumer insights, and market acceptance.
    3. Play a strong global role providing technical leadership in concepts, business propositions, applications, and services based on data.
    4. Apply project management skills in communication with internal and external stakeholders, cost benefit analysis, feature roadmap prioritization, and execution of software development projects.
    5. Work directly with the business users to provide support including the design and development of customer training materials, and conducting customer training sessions.
    6. Work with Enterprise teams to ensure changes are properly documented, communicated, audited, and deployed in compliance with established procedures.
    7. Mentor team members on new technologies in area of expertise.
    8. Work under minimum supervision to perform a variety of complicated tasks.
    9. Anticipate customers’ analytic needs and proactively conceptualize and champion high-value data related solutions.
    10. Meet with technical leads, architects and vendor partners to determine project scope and vision, set system goals, identify and resolve system issues, ensure the system is implemented as designed and in adherence to the implementation guidelines.

    Qualifications

    Experience: 10 years’ experience in Information Technology. 5 years’ experience in developing, implementing and managing AI/ML projects.

     

    Education:  Bachelor’s degree from an accredited college or university in Computer Science, Management Information Systems, or a related field. Preferred MS or PhD in Computer Science, or Electrical Engineering.  Any suitable combination of education and experience will be considered.

     

    Other knowledge, skills or abilities:

    • This role requires an individual to work across various function in the company, including with R&D, product, management, and other innovation labs.
    • Superior technical skills on machine learning/AI with proven track record. These technical skills include, but not limited to, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques, deep learning, supervised learning, unsupervised learning
    • Experience supporting a long-term analytics innovation strategy and driving those across various levels in the organization
    • Strong technical knowledge on big data technologies, cloud, and open source software tools
    • Proven track record of successful solutions design in the digital space
    • Experience with influencing decisions at the highest management levels.

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