Barbaricum is hiring a

Senior Test and Evaluation Data Engineer

Springfield, United States
Contractor
Barbaricum is currently seeking a highly skilled and experienced Senior Test and Evaluation Data Engineer for the National Geospatial- Intelligence Agency (NGA ARCHES) Program. Senior Test and Evaluation Data Engineer is a critical role within the NGA ARCHES Program, and serves as a technical advisor and project manager in support of the maturation and integration of test and evaluation efforts across the AI/ML program.

Responsibilities

  • Recognize program knowledge gaps and coordinate with T&E team, government SMEs, and vendors in recommending the scope, develop, and prioritize T&E efforts for greater insight into program performance.
  • Maintain awareness of strategy, priorities, and new capabilities across the Maven Program.
  • Assist T&E Technical Lead and Algorithm, Systems, and Human-Machine SMEs with defining priorities, setting deadlines, and tracking progress on deliverables.
  • Support the development of a Maven Test and Evaluation Knowledge Repository to facilitate easy access to T&E deliverables such as test plans, lessons learned, experimental outcomes, and T&E metrics.
  • Collaborate across the program to identify and integrate data to derive insight into program performance.

Qualifications

  • Active DoD TS/SCI clearance required.
  • 3 -4 years of demonstrated experience with project management and coordination leveraging processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise.
  • 2-4 years of demonstrated experience with AI/ML-relevant fields including applications and measures of performance.
  • Experience working with large, product focused, cross-functional teams and/or programs.
  • Expertise with succinctly communicating technical issues, user requirements, and tradeoffs.
  • Ability to take initiative, lead, advise, and execute against program’s goals/objectives.

Desired Qualifications

  • Demonstrated experience with DoD Customers or large R&D programs.
  • 3-4 years of experience with data analysis and statistics.

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