Senior Operations Research Systems Analyst
Listed on 2026-01-07
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IT/Tech
Data Analyst, Cybersecurity, Data Science Manager
Overview
Overview: Intrepid, an SPA Company, brings more than 20 years of experience supporting the Department of Defense and U.S. Government, consistently setting the standard for excellence in the federal marketplace. Committed to advancing the mission of the U.S. Warfighter, Intrepid leverages technological superiority to deliver innovative solutions across air, space, land, and sea domains. We are proud to foster a collaborative, dynamic work environment, offering competitive compensation and an industry-leading 401k contribution.
Our team is built through merit and achievement, and we’re always looking for the best and brightest to join us in our growth. We treat our people like family, we are mission-focused, and we give back! Join us today. Intrepid has a near-term need for a senior Army Operations Research Systems Analyst.
The Force Development Staff Support Officer (SSO) for Artificial Intelligence provides Army G-8 leadership with expert analysis, validation, and recommendations across the requirements, acquisition, and modernization domains. This role is responsible for developing investment strategies, reviewing JCIDS and acquisition documentation, and preparing executive-level briefings that inform decisions on future capabilities. Designated as key personnel with TS/SCI clearance, the SSO ensures alignment with Army modernization priorities—including robotics, artificial intelligence, synthetic training environments, and advanced autonomous systems—while sustaining situational awareness of assigned programs and resourcing needs.
Drawing on operational experience in combat, combat support, or combat service support formations, the SSO plays a pivotal role in shaping and advancing Army force development and modernization initiatives.
Required Qualifications:
- Bachelor’s degree in operations research, applied mathematics statistics, engineering (Systems or Industrial), or computer science
- A minimum of 6 years ORSA experience
- Ability to demonstrate knowledge and experience in identifying and solving real-world problems in areas such as capital investment, decision analysis supporting a business unit, system design and engineering, linear and non-linear programming, and trend/predictive analysis
- Secret Clearance required, and the ability to maintain it throughout employment
- HTAR course completion
- JCIDS/Requirements training (RQM 1010/1100/3100/310/2500/2520 OR CLR 101/110/151/250/252), or related fields
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