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Open: September 15, 2026 — Closes: September 19, 2026
Summary
You will serve as a Data Scientist within the Department of the Interior, Us Geological Survey, Core Science Systems, Sci Data Mgmt, LAKEWOOD,COLORADO. This is a term position with an initial appointment expecting to last at least 13 months but may be extended up to a total of 10 years, based on any changes to regulations governing the number of years term appointments may last, without further competition at management's discretion.
Major Duties
Some of the major duties you will perform include but are not limited to the following: Create and refine systems that transfer scientific data, metadata, and related artifacts from internal sources to public repositories and long-term storage; preserve the integrity of and manage access to artifacts. Deliver data artifacts through user-friendly interfaces and AI-powered apps. Develop and implement AI and machine learning tools to streamline the release of USGS-approved publications, data, models, and metadata for USGS and public users accessing scientific resources - examples include workflows, forms, editors in backend systems, and chatbots, search interfaces, and other discovery aids in public-facing systems and interfaces. Use data science and management methods to efficiently maintain scientific data, publications, metadata, and files in SDM-managed repositories and systems, including batch updates, file transfers, storage and access efficiencies, and address changes in federal data and information policies. Use established and innovative techniques to detect patterns and anomalies in scientific data and metadata, ensuring compliance with Findability, Accessibility, Interoperability, and Reusability (FAIR), and future Federal, Departmental, or Bureau requirements. Work collaboratively with team members, stakeholders, and subject matter experts to ensure shared understanding of project goals and analytical needs, and employs open communication and coordination skills to help the team align on methods, validate assumptions, and integrate diverse perspectives.
