Data Scientist

Overview: We are seeking an experienced Data Scientist to support the evaluation, integration, and application of emerging Artificial Intelligence and Machine Learning (AI/ML) capabilities within a customer environment. This role will focus on assessing new AI/ML technologies, analyzing multimedia data, supporting deepfake detection and forensic analysis, and integrating technical capabilities into cloud-based environments. What will you do? Provide data science support for the evaluation, testing, and integration of new AI/ML capabilities within the customer environment. Assess emerging AI/ML technologies to determine their effectiveness and applicability to customer requirements. Conduct analysis and forensic examination of multimedia data, including images, video, and audio. Apply current methodologies and technologies for deepfake and synthetic media detection and analysis. Maintain awareness of evolving deepfake generation techniques and corresponding detection approaches. Support the integration, coordination, testing, and documentation of new Commercial Off-the-Shelf (COTS) technologies. Support the development and integration of systems leveraging cloud services and cloud infrastructure. Work with technical teams to integrate data science and AI/ML capabilities into existing customer systems and workflows. Support the collection, processing, analysis, and lifecycle management of publicly available information (PAI) used to address mission requirements. Assist with evaluating data sources, technical capabilities, and processing methods used within existing customer environments. Document technical findings, evaluations, system capabilities, and recommendations. Collaborate with engineers, analysts, data scientists, and other stakeholders to support technical and mission objectives. Do you have what it takes? Active TS/SCI with Polygraph Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or an equivalent combination of education, technical certifications, training, and relevant professional experience. Demonstrated experience providing data science support for the evaluation or implementation of AI/ML capabilities. Experience evaluating, testing, or working with machine learning and artificial intelligence technologies. Demonstrated experience conducting multimedia forensics or analysis, including images, video, and/or audio. Experience with current deepfake creation and detection methods. Experience supporting or developing systems utilizing cloud services and cloud infrastructure. Experience providing technical support for the integration, coordination, and documentation of COTS capabilities within a customer environment. Strong analytical and problem-solving skills. Ability to evaluate technical capabilities and communicate findings to technical and non-technical stakeholders. Strong written and verbal communication skills.