Modeling Simulation Analyst Jobs in Nebraska (NOW HIRING)

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At Leidos, innovation is at the heart of everything we do. Powered by a team as diverse as it is talented, we're driven by a shared passion for delivering bold solutions that fuel our customers' success. We believe in empowering our people, giving back to our communities, and leading with sustainability. Every action we take is grounded in integrity and a steadfast commitment to doing what's right-for our customers, our teams, and the world around us. Our Mission, Vision, and Values aren't just words-they're the compass guiding our journey toward a brighter future.

If this sounds like the kind of environment where you can thrive, keep reading!

The Defense Sector within Leidos develops and produces advanced space, aerial, surface, and sub-surface manned and un-manned capabilities. Our Business Area delivers smart, integrated, mission-ready solutions that enhance military intelligence operations and accelerate decision advantage for the warfighter. We achieve this through advanced platform and systems integration, rapid systems modernization, repeatable mission software offerings, and intelligence and data rationalization that turns information into actionable insight.

Leidos is seeking an Operations Research Systems Analyst (ORSA) to provide advanced analytical support to United States Strategic Command (USSTRATCOM) decision-making, planning, assessment, and operational analysis activities at Offutt Air Force Base.This position applies operations research methodologies, quantitative analysis, modeling, and simulation techniques to evaluate complex operational challenges and provide data-driven recommendations that support strategic and operational objectives. The selected candidate will work closely with planners, analysts, and senior leaders to assess operational effectiveness, evaluate strategic risks, analyze force employment options, and examine campaign impacts. The role requires the ability to develop innovative analytical approaches, apply rigorous quantitative methods, and translate complex analytical findings into actionable insights for decision-makers.

Note: This position is part of a prospective contract, contingent upon final award. Anticipated award date: August 2026.

Primary Responsibilities

The ORSA supports strategic planning, operational assessments, and analytical studies through the application of operations research principles and methodologies. Responsibilities include developing, adapting, and applying quantitative models, statistical analyses, simulation techniques, forecasting methodologies, and analytical frameworks to evaluate operational performance and support decision-making.

The selected candidate will conduct complex analyses involving operational effectiveness, strategic risk, resource allocation, force employment alternatives, and campaign outcomes. The position requires identifying and evaluating alternative courses of action, assessing potential impacts, and providing objective recommendations based on analytical findings.

The ORSA will support the design and implementation of data collection methodologies, perform statistical and systems analyses, develop analytical products, and contribute to operational assessments and strategic studies. This role also involves collaborating with multidisciplinary teams to address complex organizational challenges, improve analytical processes, and support the development of innovative solutions.

Additionally, the position supports Agile project execution through participation in sprint planning, backlog refinement, retrospectives, and other collaborative development activities. The ORSA will work within established schedules and resource constraints while ensuring analytical products meet organizational requirements and decision-maker needs.

Required Qualifications

• Active TS/SCI with eligibility for NC2/ESI and Special Access Program (SAP) access (or ability to obtain within required timeframe).

• Minimum of ten (10) years of experience applying a broad range of operations research methods, analytical techniques, and quantitative methodologies.

• Bachelor's degree or higher in Operations Research, Data Science, Data Analytics, Business Analytics, Computer Science, Mathematics, Actuarial Science, Engineering, or a related quantitative discipline.

• Demonstrated expertise developing, adapting, modifying, and applying quantitative models to solve complex operational problems and evaluate alternative solutions.

• Experience conducting statistical analysis, systems analysis, simulation modeling, forecasting, and operational research studies.

• Proven ability to develop and implement data collection methodologies that support analysis, modeling, and decision-making.

• Experience participating in multidisciplinary study teams and collaborating across functional areas to deliver actionable insights.

• Demonstrated ability to originate new analytical approaches, methodologies, and projects that address complex organizational challenges.

• Experience executing projects and analytical studies within established financial, schedule, and resource constraints.

• Proficiency in Python and R for statistical analysis, modeling, simulation, and quantitative computation.

• Familiarity with Agile methodologies, including participation in sprint planning, backlog grooming, and retrospective activities.

• Strong written and verbal communication skills, including experience presenting analytical findings to senior leaders and stakeholders.

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If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.