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SharePoint sites or dashboards. Familiarity with web analytics tools and benchmarking methodologies. Experience implementing structured data/schema markup within a CMS. Experience developing concepts
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS in computer science, data science, artificial intelligence, business analytics management
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, curation, and modernization of research data and legacy records to ensure they are well-documented, trustworthy, and prepared for advanced analytics, modeling, and future computational use. The candidate
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information. Effective written and verbal communication skills. Analytical mindset with interest in workforce data and reporting. Ability to manage multiple priorities in a structured, deadline-driven
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software systems to manage and process large datasets related to building energy modeling and data visualization Strong software development skills for automation of many knowledge-based tasks in a version
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, data analytics, business intelligence software, and/or Lean/Six Sigma. Experience managing complex scientific support activities. Experience working in a research and development environment (i.e., DOE
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service offerings (e.g., large-scale geospatial compute pipelines, data ingest/curation/archive, analytics/visualization, user support). Establish operating policies, SLAs, user workflows, resource
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applications. We seek individuals with technical and analytical skills who are comfortable working across disciplines to contribute and lead in fast paced, team-oriented environment. Successful candidates will
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adversaries. The directorate houses S&T leadership in cybersecurity and cyber-physical resiliency, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing
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accordance with ORNL and DOE requirements. Complete HSPD-12/PIV (UPIV) credential enrollment, activation, and issuance processes. Capture biometric data (photographs, fingerprints) as required