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Open nowFirst seen 3 days ago

Senior Data Scientist

global-channel-management-inc944 open roles

Where
Charlotte, North Carolina, United States
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Your applicationOpen nowSenior Data Scientistglobal-channel-management-inc · Charlotte, North Carolina, United States

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on global-channel-management-inc's own form.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

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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