407 data-science-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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enhancements, and cross‑functional collaboration. Familiarity with data warehousing, ETL (Extract, Transform, Load), or data pipeline concepts. Experience in government, scientific, engineering or other highly
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, and help develop engineering capabilities across the organization. Evaluate emerging HPC, storage, AI/ML, data-management, and infrastructure technologies and identify opportunities to advance mission
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Requisition Id 17104 Overview: We are seeking an Applied Intelligence Specialist who will focus on analyzing and operationalizing critical information and data through sponsor funded research and
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Requisition Id 17035 Overview: The Integrated Operations Support Division (IOSD) at Oak Ridge National Laboratory (ORNL) seeks a Geographic Information Systems (GIS) Specialist to serve as the
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for Computational Sciences (NCCS). NCCS Provides state-of-the-art computational and data science infrastructure coupled with dedicated scientific and technical professionals tackling large-scale science and
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Requisition Id 17063 Overview: Oak Ridge National Laboratory is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver
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team of ecologists, biogeochemists, modelers and data scientists across ORNL and the broader DOE E3SM and Environmental System Science communities. Present research findings at scientific conferences and
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Requisition Id 17074 Overview: Oak Ridge National Laboratory is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver
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team of ecologists, biogeochemists, modelers and data scientists across ORNL and the broader DOE E3SM and Environmental System Science communities. Present research findings at scientific conferences and
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treat one another, work together, and measure success. Basic Qualifications: BS degree or higher in Software Engineering, Electrical Engineering, Computer Engineering, or closely related engineering