SAIC is seeking a Chief Data Scientist to serve as the senior technical authority for all Data Science and Analytics activities performed under an Intelligence Community program. Work is performed on site in: Bethesda, MD, with CONUS/OCONUS travel as required. The Chief Data Scientist will be responsible for: • Providing technical leadership, task assignment, and performance management for all contractor data science and analytics personnel supporting program requirements. • Architecting and overseeing the development and deployment of AI/ML models, large-scale data processing pipelines, and advanced analytics capabilities in support of intelligence production. • Leading the application of predictive analytics, pattern recognition, anomaly detection, and natural language processing (NLP) techniques to multi-source intelligence data sets. • Directing the integration of data science capabilities across program functional areas to maximize intelligence value from complex, multi-disciplinary requirements. • Establishing and enforcing data science standards, model validation methodologies, and quality assurance procedures to ensure the accuracy, reproducibility, and defensibility of all analytical outputs. • Identifying, evaluating, and integrating emerging commercial and open-source AI/ML tools and technologies to continuously advance the program's analytical capabilities. Qualifications Required Education and Years of Experience: • Active TS/SCI with polygraph is required to be considered for this role. • Willing and able to obtain a Polygraph. • Master's degree or higher in Data Science, Computer Science, Mathematics, Statistics, Applied Mathematics, Electrical Engineering, or a closely related quantitative field. Equivalent combination of education and directly relevant experience may be considered. • Ten (10) years of experience in data science, machine learning, or advanced analytics, with demonstrated progression to senior technical leadership roles. • Seven (7) years of experience designing, developing, and deploying AI/ML models and large-scale data processing solutions in operational environments. • Five (5) years of experience leading or supervising data science teams, including responsibility for managing project scope, resources, risk, and schedule. • Demonstrated experience integrating AI/ML capabilities into multi-source data fusion workflows, including the correlation of structured and unstructured data from diverse sources. Desired: • Experience developing AI/ML solutions for multimedia intelligence applications, including deepfake detection, voice biometrics, geospatial analysis, or imagery exploitation. • Experience applying data science techniques to digital forensics, malware analysis, or cyber threat intelligence use cases. • Familiarity with IC-specific data standards, ontologies, and intelligence production frameworks (e.g., ICD 203, ICD 206). • AWS Certified Machine Learning - Specialty, Google Professional Machine Learning Engineer, Certified Analytics Professional (CAP), or GIAC Machine Learning Engineer (GMLE).