US Federal Government (USAJobs)Washington, District of Columbia
First seen 2026-10-01 on US Federal Government (USAJobs)'s careers page.
- Open so farsince US Federal Government (USAJobs) published it
- 13 days
- At US Federal Government (USAJobs)tracked from their own careers feed
- 42 open AI roles
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What US Federal Government (USAJobs) says about this role
The Office of Advanced Analytics and Artificial Intelligence (OAAA) leads development of cutting-edge Artificial Intelligence (AI) solutions to aid data-driven and evidence-based decisions. Through flagship enterprise AI applications, OAAA empowers every level of the Commission to unlock the full value of data. We turn complex information into clear, actionable intelligence, and replace time-consuming manual processes with intelligent, efficient automation.
In this role as a Data Scientist, you will be responsible for: Serving as a subject matter expert in the science of artificial intelligence and machine learning, advising and/or consulting with both internal and external stakeholders on issues concerning application of those technologies as needed. Communicating complex technical concepts to non-technical stakeholders. Collaborating with other technical teams to integrate research and development outputs into production environments. Managing and guiding the technical development of projects by contracted developers. Designing, developing, maintaining, and modifying quantitative models, metrics, and reports that support various program areas. Conducting quantitative and qualitative analyses and evaluations using a wide variety of commercial and SEC databases to support the mission of the SEC. Developing and operationalizing AI models programmatically, including generating, parsing, and interpreting structured AI responses. Engineering high-performing prompts and retrieval-augmented workflows to refine accuracy and reduce errors. Designing agentic workflows to solve challenging tasks. Implementing responsible AI practices to ensure outputs are reliable and aligned with organizational risk objectives. Writing clear, maintainable, well-documented code that supports long-term readability and team collaboration. Familiar with version control practices to ensure transparency, traceability, and collaborative development. Designing analyses and experimenting to be fully reproducible through structured project organization, environment management, pinned dependencies, and deterministic workflows.
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