Senior Data Science All-Purpose SME

Job Locations US-VA-Springfield | US-MO-St. Louis
Job ID 2025-1706
# of Openings
1
Category
Other
Type
Regular Full-Time

Overview

Senior Data Scientist All-Purpose SME  

Clearance Required: Active TS/SCI

Location: Springfield, VA or St Louis, MO

Experience: 10 years of experience focusing on the concepts and applications of data analytics, computer science and programming, data modeling, Artificial intelligence and machine learning. 

Travel: 25 - 30%

 

As a Senior Data Scientist All Purpose SME  – join S2 Analytical Solutions and the customer to facilitate the mission of national security and humanitarian leadership through working to develop GEOINT skillsets at NGA's college.

 

Job Overview:

Instructor position that will support course delivery, course maintenance, and provide technical expertise to the development of new learning solutions associated with the assigned College Branch’s focus areas.  The position will instruct the NGC GEOINT Curriculum via multiple delivery methods (classroom, blended, synchronous/asynchronous online, video, and/or performance support).

Responsibilities

Duties:

  • A Senior-level Data Science SME shall be able to demonstrate their extensive understanding of advanced concepts and skill by applying them in complex or novel situations.
  • They shall be able to apply deep tradecraft-specific skills in scenario-based learning events, and exams.
  • Bringing analysts of different GEOINT tradecrafts together in these learning events/exams will require the Senior SME to understand how other GEOINT tradecrafts and multiple intelligence sources may be applied to address problems for today’s policymakers, warfighters, and other federal agencies.
  • A Senior-Level Data Science SME is primarily focused on providing support to Intermediate (3000) and Advanced (4000) GEOINT Tradecraft Learning Level courses but is also capable of supporting Fundamental (2000) GEONT Tradecraft Learning Level courses within the Data Science content area.

Qualifications

Required Experience:

  • Minimum 10 years of experience focusing on the concepts and applications of data analytics, computer science and programming, data modeling, Artificial intelligence and machine learning.
  • Minimum 2 years delivering learning content to adult learners in a classroom setting.

Desired Education:

  • A bachelor’s degree from an accredited (i.e., regional, national, or institutional) academic institution, related to their assigned area of expertise (i.e., Computational Thinking, Programming, Statistics, or Data Visualization).
  • Department of Defense (DoD) Basic Instructor Certification

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