• Data Science Manager

    Location US-CO-Denver
    Job ID
    Information Technology
  • Summary

    DISH is a Fortune 250 company with more than $14 billion in annual revenue that continues to redefine the communications industry. Our legacy is innovation and a willingness to challenge the status quo, including reinventing ourselves. We disrupted the pay-TV industry in the mid-90s with the launch of the DISH satellite TV service, taking on some of the largest U.S. corporations in the process, and grew to be the fourth-largest pay-TV provider. We are doing it again with the first live, internet-delivered TV service – Sling TV – that bucks traditional pay-TV norms and gives consumers a truly new way to access and watch television.


    Now we have our sights set on upending the wireless industry and unseating the entrenched incumbent carriers.


    We are driven by curiosity, pride, adventure, and a desire to win – it’s in our DNA. We’re looking for people with boundless energy, intelligence, and an overwhelming need to achieve to join our team as we embark on the next chapter of our story.


    Opportunity is here. We are DISH.

    Job Duties and Responsibilities

    The Enterprise Data Science team builds and deploys machine learning models to help business units across the company generate incremental revenue and operate more efficiently.  We are looking for a Data Science Manager to join our team in Denver, CO and help lead us to Best in Class performance.


    Primary responsibilities fall into the following categories:

    • Manage a team of data scientists, software engineers, data engineers and analysts
    • Technical leadership for data science projects
    • Contribute to, review and approve designs and architectures
    • Partner with business units across the company
    • Coordinate with other teams within IT
    • Own a complete functional area – from analysis and design to development, deployment and support

    Skills - Experience and Requirements

    A successful Data Science Manager will have the following:

    • 4 Year college degree or equivalent experience
    • Strong desire to learn a variety of technologies and processes with a “can do” attitude
    • Ability to solve practical problems in situations where only limited standardization exists
    • Familiarity with different types of machine learning models and approaches with understanding of strengths and weaknesses and best application
    • Experience with modern software development practices like CI/CD, cloud native applications, TDD, etc.
    • Experience with big data technologies like Spark, etc.
    • 2+ years experience managing a team with agile development practices
    • Experience with public Cloud platforms, especially AWS



    • Experience with the Hadoop stack (Spark, MapReduce, Hive, Hbase)
    • Experience working with large data sets and applicable algorithms and approaches
    • Experience working with streaming data solutions


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