Senior Data Scientist

Role overview Apply data science and AI expertise to research, prototype, and deliver capabilities for existing and prospective programs. The role combines hands-on work with generative and agent-based AI, collaboration across cyber and mission software teams, and technical advising for internal stakeholders and clients. It also supports briefings and proposal materials that inform investment and solution planning.

Responsibilities - Contribute to the implementation of agent-based AI workstreams and platforms. - Help implement AI security capabilities and integrate AI into cyber and mission software efforts. - Apply large language models, retrieval-augmented generation, agents, and related methods to practical problems. - Support prototyping and technical implementation, and help shape new AI capabilities. - Consult with stakeholders, gather needs, and explain technical options to varied audiences. - Develop research findings and technical content for briefings, proposals, and presentations.

Requirements - At least five years of relevant experience reviewing and interpreting application data, including two or more years using AI. - Expertise in AI/ML, generative AI, and agent-based AI, along with sound data science and data engineering practices. - Experience with cloud AI and data services, data integration or migration, analysis, and visualization. - Ability to gather requirements and translate them for technical and nontechnical stakeholders. - Ability to obtain and maintain a Public Trust clearance and pass government screening. - Must meet the stated U.S. residency history requirements for screening. A relevant bachelor’s degree is preferred; additional relevant experience may substitute.

Benefits and work setup Remote U.S. work with less than 10% travel. The listing describes retirement matching, health and wellness coverage, paid leave and holidays, and professional development support.