Data Scientist (TS/SCI with Poly Required)

GCI Careers•Chantilly, VA

About The Position

GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry. At GCI, we solve the hard problems. As a Data Scientist, a typical day will include the following duties:

Requirements

  • Demonstrated experience providing system engineering support of integration, coordination, and documentation of new COTS capabilities into a customer's environment.
  • Demonstrated experience providing data science support of evaluation of new AI/ML capabilities into a customer's environment.
  • Demonstrated experience supporting and developing systems leveraging cloud services and cloud infrastructure.
  • Demonstrated experience conducing forensics of multimedia (images, videos, and audio).
  • Demonstrated experience with current deepfake creation and detection methods.
  • A candidate must be a US Citizen and requires an active/current TS/SCI with Polygraph clearance.

Nice To Haves

  • Demonstrated project management experience.
  • Demonstrated experience using MS Teams.
  • Demonstrated experience supporting lifecycle processes related to publicly available information collected to address a specific requirement.
  • Demonstrated experience with existing Sponsor environment relating to the collection and processing of publicly available information.
  • Demonstrated experience with AWS Cloud services.
  • Demonstrated experience with Linux.

Responsibilities

  • Providing system engineering support of integration, coordination, and documentation of new COTS capabilities into a customer's environment.
  • Providing data science support of evaluation of new AI/ML capabilities into a customer's environment.
  • Supporting and developing systems leveraging cloud services and cloud infrastructure.
  • Conducting forensics of multimedia (images, videos, and audio).
  • Working with current deepfake creation and detection methods.
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