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Requisition Id 11879 Overview: ORNL is searching for a group leader to lead the newly formed Spatial Statistics group. This group focuses on developing and applying advanced statistical and
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(DOE), the Department of Transportation (DOT), and other federal agencies in developing solutions to national transportation problems. TADS researchers conduct spatial and statistical analyses, build
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the integrity of the infrastructure. Proactively monitor, test, collect and analyze system performance statistical data to improve quality of the network environment. Adhere to a customer serviced focused culture
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Qualifications: A BS in computer science, data science, business analytics management, applied statistical analytics, or a related field of study and five (5) to seven (7) years of relevant experience is required
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management, applied statistical analytics or a related field of study and eight (8) to twelve (12) years relevant experience is required. An overall combination of equivalent experience may be considered
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– in how we treat one another, work together, and measure success. Basic Qualifications: BS/BA degree in Human Resources, Statistics, Data Science, Information Technology, or related field. A minimum of
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to acquire new skills and explore new areas. Proficiency in using Excel for engineering data analysis. Familiarity with numerical calculation and statistical data analysis techniques. Extensive experience in
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well as the ability to foster positive customer relations, are essential Experience with the following systems is a plus: Vehicle Costing System (VCS), GSA Drive-thru, and Federal Automotive Statistical Tool (FAST
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mechanical systems and controls is desirable. Possess the capability to perform techno-economic analysis, interpret data, conduct statistical analysis of datasets, visualize spatial data, deliver presentations
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Qualifications: Exceptional teamwork, statistical skills, and a positive, meticulous nature with a penchant for detail and precision are required attributes. Experience in leading developing, revising and