Senior Data Scientist

Global Channel Management

  • Charlotte, North Carolina
  • 12 days ago

    Highlights

    Data Scientist duties: Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners. Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques.

    Numbers & Facts

    LocationCharlotte, North Carolina
    Websitehttps://www.globalchannelmanagement.com/

    Description

    Sr. Data Scientist needs 2 or more years experience with developing Robotic Process Automation and/or automation efforts

    Sr. Data Scientist requires:

    • 3+ years with relational databases (ex. Oracle, SQL Server, etc.)
    • 3+ years working with languages Python and SQL
    • 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc)
    • 2 or more years experience presenting and delivering results to business partners and leadership
    • 2 or more years experience in Cyber Security domain knowledge.
    • 1 or more years experience with Splunk or similar technology

    Preferred

    • 2 or more years experience with developing Robotic Process Automation and/or automation efforts
    • 2 or more years using AWS cloud services
    • 2 or more years skilled at data visualization (Tableau, PowerBI, etc.)
    • 2 or more years with modern data engineering with APIs
    • M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study.
    • 2 or more years applying agile SDLC

    Sr. Data Scientist duties:

    • Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners
    • Ability to skillfully enumerate a business problem, quantify its impact, size relevant data, and document applicable sources
    • Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques
    • Ability to identify needs and opportunities for advancements in innovations, processes and automation
    • Able to work proactively and take initiative without being specifically directed
    • Ability to extract & aggregate data from disparate data sources

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