Senior Data Scientist

The Senior Data Scientist will work on government site and as part of a distributed multi-disciplinary team. This position requires interaction with government customers at all levels of authority and technical acuity and requires the ability to communicate technical and programmatic information through excellent verbal and written communication skills.

Responsibilities:

Provide AI data science and engineering expertise to advise the DDI program, assisting the agency's development and management of ML/AI and agents to augment the analytic workflows of analysts addressing DoD/IC mission priorities. Employ various programming algorithms to build, test and deploy ML/AI models and agentic AI capabilities. Coordinate with other team members, developers, analysts, and scientists. Create and manage the AI development process and overall product infrastructure. Conduct statistical analysis and interpret the results to guide an organization's decision-making process. Develop infrastructures for data transformation and ingestion and automate important infrastructure for analysts and scientists. Build AI models that make predictions based on large quantities of data. Explain the usefulness of the AI models to a wide range of individuals within the organization, including collaborators and product managers. Develop APIs to interact with other applications. Establish complete and accurate system-level functional/performance requirements that are clear, traceable from strategic capabilities to validated customer and operations needs/requirements, and consistent with the program's architecture objectives and acquisition strategy. Define, plan, coordinate, and guide various technical initiatives (e.g. performance analysis, feasibility studies, constraint evaluation, cost/benefit analysis) for execution of system-level functional requirements definition and resolution of interface issues. Provide technical coordination, architecture guidance, and support for DDI project development. Define the milestones and control gate success criteria and evaluate entry/exit readiness during design reviews and audits to ensure protection of baselines and to assist in risk identification and resolution. Plan and coordinate data management practices to treat and handle data as a resource. Assist Government principals in managing system development and deployment efforts, moves or modernization changes including analysis, IT and cloud requirements, network security measures, and other factors. Requirements United States citizenship required Top Secret/SCI security clearance or current Top Secret SSBI with TS/SCI eligibility required; counterintelligence (CI) polygraph may be required Bachelor's degree in a relevant technical field 8+ years of experience

Desired Qualifications:

Master's degree or higher in Engineering, Computer Science, Information Technology, Management Information Systems, or related STEM degree. Expert-level experience in government or industry in ML/AI and agentic development Experience Integrating solutions using ML/AI technologies Demonstrated senior level experience leading technical integration efforts Demonstrated senior level experience leading multi-system integration efforts through requirements definition, development, testing and transition. Proficiency in Python (FastAPI library familiarity is a plus) Familiarity with CI/CD practices using GitLab or similar tools Familiarity with RESTful APIs and microservices architecture Experience with database management, PostGres, ElasticSearch Knowledge of containerization (Docker, Kuberne3tes, Openshift, Helm) Experience with version control systems, especially Git and platforms like GitLab for CI/CD Proficiency in frontend frameworks (React) Strong knowledge of HTML, CSS, and JavaScript Experience with state management libraries (Redux, MobX) we are using Redux for state management right now Understanding of UI/UX principles Familiarity with CI/CD practices using GitLab or similar tools

Additional Desired Experience:

Experience with processes, tools, and languages pertaining to ML/AI development Experience engineering solutions using structured and unstructured Big Data, AI, and Cloud-based technologies Demonstrated senior level experience integrating Geospatial Intelligence systems Demonstrated senior level experience in AI engineering and integration of large complex system of systems of service-centric/Cloud environments