11 Statistics "Bangor University " positions at Oak Ridge National Laboratory in Ireland-United-Kingdom
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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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for distributed energy resources (REopt, DER-CAM, DER-VET, Homer, System Advisor Model (SAM), TRNSYS, etc.) is highly advantageous. Familiarity with numerical calculation and statistical data analysis techniques is
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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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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
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the following preferred qualifications, though none are required: Extensive experience and fluency in Python and R computer languages. Background in statistics and data analytics. Previous experience in