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    Senior Manager, Data Science - Irving, United States - 7-Eleven, Inc.

    7-Eleven, Inc.
    7-Eleven, Inc. Irving, United States

    3 weeks ago

    7-Eleven, Inc. background
    Description
    With more than 13,000 stores in the U.S. and 84,000 stores globally, it is no wonder 7-Eleven, Inc. has been named an iconic brand. In addition to 7-Eleven stores, 7-Eleven, Inc. also operates and franchises Speedway, Stripes, Laredo Taco Company and Raise the Roost locations.


    Since inventing the convenience industry in 1927, 7-Eleven has built a rich 96-year history filled with beloved products like Slurpee, Big Gulp and Big Bite, and fan-favorite holidays like Slurpee Day and Bring Your Own Cup Day.

    Now, 7-Eleven is on a mission to contemporize the brand and redefine convenience - and we need your help.

    About This Opportunity


    JOB SUMMARY:
    Lead a team of data scientists in the modeling and optimization of complex demand chain problems, and the

    development of KPI visibility tools for the entire Supply Chain department.

    The team will develop network analytics, optimization, simulation, machine learning models and niche data science techniques to evaluate product flow from vendor to distribution center and customer.

    The models will focus on improving fill rate, lead time, cost and inventory efficiency, while ensuring sufficient capacity for throughput and storage.

    The team will also build dashboards, reports, maps, etc. to assess the health of the Supply Chain, identify improvement opportunities and implement appropriate solutions.


    KEY DUTIES AND RESPONSIBILITES:

    • Manage a portfolio of data science projects, models and analyses. Assign data scientists to each initiative,
    ensuring high resource utilization and adherence to scope, timeline and budget.


    • Design and lead the development of comprehensive visibility tools (dashboards, reports, etc.) for all major
    Demand Chain KPIs.


    • Identify improvement opportunities and work collaboratively with other teams to implement appropriate
    solutions.


    • Act as subject matter expert for different data science techniques, such as Linear programming, mixed integer programming, clustering, Monte Carlo simulation, discrete event simulation, regression, random forest, SVM's, other machine learning techniques and advanced statistical skills.
    • Ensure high data quality and accuracy for the entire team's output.
    • Hire, train, coach, develop and retain an effective team of data scientists.

    EDUCATION AND EXPERIENCE:

    EDUCATION:
    Masters


    YEARS OF RELEVANT WORK EXPERIENCE:
    7+ years


    YEARS OF MANAGEMENT EXPERIENCE:
    2+ years

    CERTIFICATIONS /


    LICENSES:

    NA

    SPECIFIC KNOWLEDGE AND SKILLS:
    Expert in Microsoft Office tools

    Experience in programming with SQL, R, and/or Python

    Working knowledge implementing optimization and simulation models.

    Experience in Network Modeling

    Knowledge of advanced statistics.

    #LI-KA1
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