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Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Preparing and modeling data in SQL, Tableau, and/or Qlik; Data center construction and engineering. Demonstrating experience with data cleansing, conversion and migration; Managing and directing on-shore and off-shore resources to organize and profile large data sets to develop risk models.
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Use data and insights to inform conclusions and support decision-making. Working with analytics and construction management software packages including Cora, Power BI, Primavera P6, Primavera Unifier, [redacted], Tableau.
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Professional Engineer (PE), Project Management Professional (PMP), or American Production and Inventory Control Society (APICS). Participating in the assessment and improvement of business processes, including leveraging Cora, Primavera Unifier or other project technologies; and.
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Power generation including renewable energy assets; We advise and support clients as the plan, deliver, and optimize capital projects and programs. Utilizing process design mapping skills in Visio and/or IBM Blueworks; and.
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To help us achieve this we have the PwC Professional; our global leadership development framework. Developing implementation plans and business cases while building client stakeholder and sponsor consensus and support.
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Utility transmission (gas and electric) infrastructure; Our team helps organisations deliver on their large scale capital programs and portfolios by providing assurance, tax, consulting, deals and forensics services across the capital program lifecycle.
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The Data Scientist will collaborate closely with product, operations, engineering, data science, and clinicians to provide best in class analysis of oncology care pathways and contribute to technical product requirements with supervision from senior scientists.
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Data Strategy: Oversee and direct the Data Science team on advanced audience query definition and development. Attribution Deployment: Lead team in coordination with Data Science on attribution deployment and data collection.
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Job Description: We're seeking a proactive and highly skilled Data Analyst with a background in Computer Science, Data Engineering, or a related field, coupled with expertise in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
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8+ years of experience in data engineering or full-stack quantitative analytics/data science roles. Deep knowledge of analytics technologies, modeling techniques, data warehousing concepts, cloud platforms (AWS preferred) and frameworks, and proven experience with data architecture.
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The candidate will work in Metrics, Analytics, Reporting and Solutions (MARS) group as part of the Data Science Team. The candidate will focus on a variety of Data Science projects across the board leveraging data from multiple internal R&D Systems and external Data Vendors enabling Data Driven culture across all R&D. The candidate will develop data science models and AI/ML tools enabling proactive risk monitoring, pattern detection and predictive analytics.
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Reporting to the President of World Science U (WSU) and Executive Director of Education, or in their absence, the Director of Education, the WSS program Manager oversees daily operations of the WSS program, working intimately with world-renowned scientists and coordinating with the WSF media team to produce and film high quality courses.
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The Scientific Software Engineering & Data Management Group in the X-Ray Science Division (XSD) at the Advanced Photon Source (APS) ( invites applicants for a postdoctoral position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments.
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7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering. Bachelor's degree or equivalent education and 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering.
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data science jobs Title: analytics engineer Company: Abbvie in Holdrege, Nebraska
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