Data Scientist, SME

Data Scientist, SME

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.

• 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

• 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., Tensor Flow, 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 Secret Clearance

• 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