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Global Channel Management, Inc

Senior Data Scientist

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Summary

Senior Data Scientist who structures business problems and turns disparate data sources into actionable intelligence using Python, SQL, statistics, and Splunk, with a cybersecurity domain focus. Also drives automation/RPA efforts and presents data-driven results to business partners and leadership.

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

Skills

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