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About the Role

This position provides critical data science and analytics support to advance Live, Virtual, Constructive (LVC) simulation environments, systems engineering initiatives, and multi-domain operations effectiveness experimentation. The ideal candidate will apply established data science methodologies to mission-critical requirements, including fine-tuning existing models to improve accuracy for specific mission sets such as predictive maintenance for fleet readiness.

Responsibilities

Apply established data science methodologies to DOW mission requirements
Fine-tune existing AI/ML models to improve accuracy for specific mission sets, including predictive maintenance for fleet readiness
Support the development of data-driven solutions for M&S and AI systems
Assist in creating custom analytical pipelines and tooling to meet emerging data requirements
Support verification, validation, and accreditation (VV&A) of simulation models
Work in a collaborative, cross-functional team environment supporting Joint and Coalition exercises
Perform data engineering on simulation data including data cleaning, preparation, management, integration, and feature extraction functions
Support advanced data analytics initiatives including generative AI analysis workflows within a DOW context
Work with structured, unstructured, and natural language datasets to extract actionable insights
Collaborate with systems engineers, modeling and simulation developers, and operations research analysts

Requirements

Bachelor's degree in Computer Science, Data Science, Statistics, or related field or 3 years of relevant experience (may substitute for education requirement)
Active Secret Clearance
Experience with DOW or military modeling and simulation environments
Familiarity with Live, Virtual, Constructive (LVC) simulation tools
Knowledge of Joint Theater Level Simulation - Global Operations (JTLS-GO), JLCCTC, OneSAF, or similar M&S tools
Experience with big data platforms and cloud computing architectures
Understanding of systems engineering principles
Experience supporting military exercises or operations
Knowledge of AI/ML applications in defense contexts

Work Type

Full time
Regular

Experience Level

Junior

Education Level

Bachelor's degree in Computer Science, Data Science, Statistics, or related field

Salary/Compensations

$58,000-$115,900

Benefits

Flexible time off
Robust learning resources
Healthcare
Wellness
Financial
Retirement
Family support
Continuing education
Time off benefits

About the Company

CACI is currently seeking a Data Scientist I in support of a program whose initiative is aimed at combating evolving and emerging threats, supporting related exploitation and replication activities, and advancing operational rehearsal, exercise, wargaming, and counter system development. Additionally, we are focusing on integration and experimentation, including Modeling and Simulation.
By joining this team, you will have a unique opportunity to contribute to the U.S. and our allies’ ability to develop and apply models and simulations throughout the lifecycle of military and commercial technologies and systems. Your work will help ensure Warfighter readiness and the realization of future capabilities.
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Equal Opportunity

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.