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About the Role

CACI is seeking a Data Scientist II to support initiatives combating evolving threats, exploitation, replication, operational rehearsal, exercise, wargaming, and counter system development. This role also focuses on integration and experimentation, including Modeling and Simulation, contributing to the U.S. and allies' ability to develop and apply models and simulations throughout the lifecycle of military and commercial technologies and systems, ensuring Warfighter readiness and future capabilities.

Responsibilities

Execute the full data lifecycle, including acquiring, processing, and interpreting large, disparate datasets (structured, unstructured, and natural language) to extract actionable insights for DoD modeling and simulation programs.
Design and develop data-driven solutions for M&S and AI systems, including creating and refining generative AI analysis workflows and ensuring data integrity for complex simulations.
Build custom analytical pipelines, models, and tooling to meet advanced and emerging data requirements, particularly with high-volume, real-time data feeds.
Execute and lead project tasks, manage technical complexity, conduct code reviews, and ensure the quality of analytical output across a team or mission set.
Apply deep domain knowledge to military operations and exercises, with familiarity with DoD M&S environments and toolsets (e.g., JLVC, JTLS-GO) to translate data into meaningful analytical conclusions.
Support data ecosystem development capable of handling big data, large complex data sets, and manage data storage archives of recorded test events, training activities, and exercises.
Provide advanced data science and data analytics tools, software, algorithm, and analysis support including application of artificial intelligence (AI), machine learning (ML), and digital engineering to simulation data sets.

Requirements

Bachelor's degree in Computer Science, Data Science, Statistics, or related field.
Minimum 8 years of Experience or 12 years relevant experience in lieu of degree.
Advanced proficiency in programming languages such as Python, R, or similar.
Experience with big data platforms and technologies.
Knowledge of machine learning frameworks and deep learning architectures.
Expertise in data visualization and analytics tools.
Experience with natural language processing and generative AI workflows.
Active TS/SCI Clearance.

Skills

Python
R
Big data platforms and technologies
Machine learning frameworks
Deep learning architectures
Data visualization and analytics tools
Natural language processing
Generative AI workflows
DoD Modeling & Simulation environments (JLVC, JTLS-GO, WARSIM, etc.)
Live, Virtual, Constructive (LVC) simulation systems
Reinforcement learning
Neural network-based approaches
Cloud computing platforms (AWS, Azure, Google Cloud)

Location

Remote

Work Type

Full time
Regular

Experience Level

Senior

Education Level

Bachelor's degree in Computer Science, Data Science, Statistics, or related field
Masters or Ph.D. in related field

Salary/Compensations

$98,500-$206,800

Benefits

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

About the Company

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.
CACI values the unique contributions that every employee brings to our company and our customers - every day.
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.