Senior Data Scientist
Global Channel Management, Inc. · globalchannelmanagement.com
CharlotteSenior
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The job in short
Senior data science.
PythonSQLAWSTableauOracleData science
Details
- Found
- 22 d ago · posted 2026-10-03
- Location as listed
- Charlotte, North Carolina, United States
- Role
- Data Scientist
- Source
- The company’s own careers site
Full 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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