Database Analyst (Knowledge Management)

PeratonAugusta, GA
$135,000 - $216,000Onsite

About The Position

Peraton seeks a Database Analyst (Knowledge Management) to support the ARCYBER G36. The role involves working as a member of a highly skilled team of engineers and data scientists. Tasks include acquiring data from specified locations, conducting data analysis, and supporting the development of a solid data foundation for processing modeling data and performing robust analytics. The position also supports the use of online experimentation and other data science methodologies to achieve sustainable growth by leveraging Machine Learning (ML), natural language processing, and dynamic network analysis. A key responsibility is to characterize the threat of social media narratives and messaging.

Requirements

  • Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D. Will consider Associates+14 years or HS+16.
  • Must be familiar with basic data analysis and visualization techniques in Python
  • Must have experience using basic Python data analysis packages (pandas, matplotlib, etc.)
  • Must have experience using a notebook analytic environment like Jupyter Notebooks
  • Must hold a TS SCI clearance with the ability to obtain and maintain a Polygraph and MEAD SIP cleared for Fort Gordon, GA.
  • US Citizenship required.

Nice To Haves

  • IAT Level II
  • Requires experience with model development and testing as well as gathering, relating, and identifying data with variables in models.
  • Has developed reports noting various alternatives and success probability when there is no single solution.
  • Possesses an understanding of cyberspace doctrine, policies, operations, and organizations.
  • Background includes quantitative experience and/or education (e.g., mathematics, statistics, etc.).

Responsibilities

  • Work as a member of a highly skilled team of engineers and data scientists
  • Acquire data from specified locations and conduct data analysis
  • Support the development of a solid data foundation to process modeling data and perform robust analytics
  • Support use of online experimentation and other data science methodologies to achieve sustainable growth by leveraging Machine Learning (ML), natural language processing, and dynamic network analysis
  • Characterize the threat of social media narratives and messaging

Benefits

  • Employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
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