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CACI
Data Scientist, Senior
Career Insights for Generative Artificial Intelligence Engineer
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What they do
A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
$131,162 / year median in Hawaii
Job Description
Job Title:
Data Scientist, Senior Job Category:
Information Technology Time Type:
Full time Minimum Clearance Required toStart:
TS/SCI Employee Type:
Regular Percentage of Travel Required:
Up to 10%Type of Travel:
Local •The Opportunity:
CACI is currently seeking a Data Scientist II 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.Responsibilities:
Lead Advanced Data Analysis & Management:
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 programsAI and Simulation Integration:
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 simulationsCustom Analytics & Tool Development:
Build custom analytical pipelines, models, and tooling to meet advanced and emerging data requirements, particularly with high-volume, real-time data feedsTechnical Leadership:
Execute and lead project tasks, manage technical complexity, conduct code reviews, and ensure the quality of analytical output across a team or mission setDoD M&S Domain Expertise:
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 conclusionsBig Data Ecosystem Management:
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 exercisesAI/ML Development:
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 setsQualifications:
Required:
- Bachelor's degree in Computer Science, Data Science, Statistics, or related field
- Minimum 8 year 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 Desired:
- Masters or Ph.D. in related field is highly valued
- Experience with DoD Modeling & Simulation environments (JLVC, JTLS-GO, WARSIM, etc.)
- Familiarity with Live, Virtual, Constructive (LVC) simulation systems
- Experience with reinforcement learning and neural network-based approaches
- Knowledge of DoD operational requirements and
INDOPACOM
operations- Experience with cloud computing platforms (AWS, Azure, Google Cloud)
- Experience supporting large-scale Joint and Coalition exercises
- Published research or patents in AI/ML or data science domains -