Operational Research System Analyst (ORSA)
LeidosAbout the role
Leidos National Security Sector (NSS) is seeking a highly experienced and skilled mission-driven Operational Research System Analyst (ORSA) to support APOLLO/OPIAS in Tampa, FL. This role will be embedded in operational planning teams, applying advanced analytical methods—such as modeling and simulation, wargaming, statistical analysis, and systems thinking—to inform mission design, evaluate Courses of Action (COAs), and develop Measures of Effectiveness (MOEs) and Performance (MOPs) as part of Operations in the Information Environment (OIE). The ORSA will enhance operational adaptability, strategic alignment, and mission effectiveness across Irregular Warfare planning activities. This position is on a future contract pending award announcement.
Possible locations for this position are as follows:
AFRICOM
CENTCOM
SOUTHCOM
EUCOM
INDOPACOM
NORTHCOM
Possible locations for this position are as follows:
MacDill (Tampa, FL)
Al Udeid (Qatar)
Fort Meade (Maryland)
Northcom (Colorado Springs, CO)
Camp Humphreys (Korea)
Arifjan (Kuwait)
Joint Base Pearl Harbor-Hickam (Hawaii)
Fort Eisenhower (Georgia)
Offutt AFB (Omaha, NE)
Naval Operating Base Norfolk (Virginia)
Southcom (Doral, FL)
JB San Antonio (Texas)
Stuttgart (Germany)
Vicenza (Italy)
Tyndall AFB (Florida)
Key Responsibilities:
Define measurable and observable Measures of Effectiveness.
Participate in the development of intelligence and non-kinetic targeting activities to align collections and define acceptable outcomes.
Support assessments of the information environment by applying a combination of opinion research data, intelligence, operational reporting, and social media insights.
Contribute to the collection of social, cultural, economic, political, religious, and regional indicators through all available sources to assess approved series in the theater.
Coordinate, consolidate, submit, and track intelligence requirements across Information Forces and Info activities.
Create, determine resourcing, and/or coordinate with stakeholders, the collection of social, cultural, economic, political, religious, and regional identified indicators through all available sources to assess approved series in the theater.
Participate in the development of intelligence for inclusion in command collection plans, facilitating planning, execution, and feedback for measures of performance and measures of effectiveness.
Identify, assess, design, and report on highly complex adversary strengths, weaknesses, order of battle, force structure, military capabilities, key military leadership, military policies, plans, strategies, intentions, and their impact on force developments in support of IO Division planning efforts and operational execution
Conduct assessment of information activities and OIE. Identify and track measures of performance through the attainment of measures of effectiveness
Provide operational intelligence services that include the full range of intelligence functions to address Information Related Capabilities (IRC) requirements.
Apply advanced analytical methods—such as statistics, modeling, simulations, and data science—to assess and optimize the effectiveness of OIE and influence campaigns. Help leadeship and planners make data-informed decisions about employing Information Forces across the battlespace.
Basic Qualifications:
Bachelor’s degree in Operations Research, Mathematics, Statistics, Data Science, Engineering, Economics, or related quantitative field
3+ years of experience applying quantitative methods to military or government problem sets
Experience working in a collaborative, cross-functional team environment
Proficiency in modeling, simulation, optimization, and data analysis
Demonstrated ability to develop and brief decision support tools or assessments to senior leaders
Familiarity with statistical tools and languages (e.g., R, Python, MATLAB, or SAS)
Strong communication skills — able to present complex findings clearly to both technical and non-technical audiences
Active TS/SCI security clearance
Preferred Qualifications:
Master’s degree in Operations Research, Applied Mathematics, Data Science, or a closely related discipline
Completion of FA49 (Army ORSA) or similar mi
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