Data Scientist/Data Engineer

Full VisibilityHuntsville, AL
5dOnsite

About The Position

Full Visibility is seeking a Data Scientist/Data Engineer to work in Huntsville, AL. Candidate must possess an active Top Secret clearance. The Data Scientist/Data Engineer will be responsible for reviewing data sets of many different types, identifying trends in the data, and finding methods for other users of the system to do a basic review of the data. The successful candidate will provide end-users a better understanding of what they are reviewing, and help by teaching small groups of users, creating FAQ pages, and/or creating example documentation of best practices for data review. The Data Scientist/Engineer will help show the deficiencies in the currently available software and suggest changes so that end-users can more easily access the data that is most important to them. The successful candidate will collaborate and coordinate with the software developers.

Requirements

  • Active Top Secret Clearance
  • At least two (6+) years of experience as a data scientist or data engineer
  • Experience working in a position where data is aggregated in order to conduct large-scale analysis
  • Experience working with different data sets and kinds of data
  • Knowledge of and experience working with pivot tables and graph analytics (such as Kibana) and the ability to train others on their use
  • Ability to assist end-users with questions related to data
  • Ability to provide technical documentation, user guides, instructional information, and technical support related to the data
  • Excellent communication skills with the ability to communicate with others with varying levels of technical knowledge
  • Bachelor’s degree in computer science, engineering, information systems, or related field OR in place of a degree, an additional six (6) years of specialized work experience as a data scientist or data engineer

Responsibilities

  • Reviewing data sets of many different types
  • Identifying trends in the data
  • Finding methods for other users of the system to do a basic review of the data
  • Teaching small groups of users
  • Creating FAQ pages
  • Creating example documentation of best practices for data review
  • Suggesting changes so that end-users can more easily access the data
  • Collaborating and coordinating with the software developers
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