Data Scientist (Group 4), SME

Job Title: Data Scientist (Group 4), SME Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: 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.... Opportunity 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.

: • 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