Data Scientist, SME

CACI International•Town of Cortlandt, NY

1d•$98,500 - $206,800•Hybrid

About The Position

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. As the Data Scientist SME, you will lead the development of novel AI solutions—from generative models to reinforcement learning agents—to solve complex problems in high-fidelity simulation, operational planning, and human-machine interfacing. This position offers the opportunity to work at the forefront of defense technology, applying cutting-edge data science and AI/ML methodologies to support warfighter readiness and mission success in the INDOPACOM region and beyond.

Requirements

Bachelor's degree in Computer Science, Data Science, Statistics, or related field
Minimum 10 years of demonstrated experience leading the application of advanced data science and AI/ML in complex technical environments or 15+ years relevant experience in lieu of degree
Expert-level proficiency in AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Advanced programming skills in Python, R, or similar languages
Experience with big data platforms and cloud computing architectures (AWS, Azure, Google Cloud)
Knowledge of data engineering, ETL processes, and database management
Familiarity with Model-Based Systems Engineering (MBSE) tools and methodologies
Active TS/SCI Clearance

Nice To Haves

Master's degree or Ph.D. in a related field highly valued
15+ years of relevant experience in data science and AI/ML
Experience with DOD or Department of the Army (DOW) programs, particularly INDOPACOM operations
Hands-on experience with Joint Simulation Environments and federated/non-federated LVC M&S tools (e.g., JTLS-GO, OneSAF, JSAF)
Knowledge of cybersecurity principles and Zero Trust architectures
Experience with Cross Domain Solutions (CDS) for secure data exchange
Familiarity with Digital Engineering (DE) methodologies and tools
Experience supporting large-scale Command Post Exercises (CPXs) and Field Training Exercises (FTXs)
Project Management Professional (PMP) or similar certification

Responsibilities

Lead AI/ML Innovation: Direct the architecture and development of advanced AI/ML solutions including deep learning, reinforcement learning, natural language processing (NLP), and computer vision applications for defense programs
Pioneer Novel Solutions: Design and implement generative models and reinforcement learning agents to address complex challenges in high-fidelity simulation environments, operational planning, and human-machine interfacing
Support Critical DOD Programs: Provide strategic technical guidance on data science initiatives that directly impact military readiness, training, and operational effectiveness
Advanced Data Analysis: Transform complex, multi-source data into actionable intelligence through sophisticated analytical models and data pipelines
AI-Simulation Integration: Design and develop data-driven solutions for Modeling & Simulation (M&S) and AI systems, including creating and refining generative AI analysis workflows
Infrastructure Support: Provide technical expertise in modeling and simulation equipment, systems engineering, and cybersecurity operations across government offices, laboratories, and test locations
Collaborative Leadership: Work across multidisciplinary teams, including systems engineers, operations research analysts, and program managers to deliver integrated solutions
Strategic Planning: Develop technical roadmaps and strategic plans for AI/ML integration into Live, Virtual, and Constructive (LVC) simulation architectures
Knowledge Transfer: Mentor junior team members and provide training on advanced data science methodologies and AI/ML best practices