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EDUCATION: 1 full academic year of graduate education at an accredited college or university in computer science, engineering, information science, information systems management, mathematics, operations research, statistics or technology management.
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Applies the principles of software engineering to the design, implementation, configuration, and optimization of solutions in support of applications, databases, test automation tools, and Commercial Off the Shelf (COTS) products.
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North America AI Center takes on grand scientific and engineering challenges in machine learning and artificial intelligence, and actively contributes to the international research community through scientific publications and presentations in major conferences and journals in several research areas, including but not limited to, computer vision, camera and imaging technologies, robotics, multimodal modeling, conversational AI, health, and new emerging areas where AI is applied.
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No experience required, internship experience in the building design engineering industry preferred. Assist with portfolio-wide building data compilation and analysis of energy usage and carbon emissions.
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Responsibilities Perform and manage traffic engineering design and studies related to work zone traffic control, signing and pavement markings, traffic signals, lighting, Intelligent Transportation Systems (ITS), and traffic operational analyses.
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Proficiency in data analysis tools (e.g., Python, R, SQL) and data visualization tools (e.g., Tableau, Superset, Looker). Collaborating with engineering and data science leads to improve data quality, building data warehouse, and delivering predictive models for marketplace insights and anomaly detection.
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Substitutions Allowed: (1) A master’s degree in economics, operations research, statistics, mathematics, engineering, physical sciences, business administration, public administration, philosophy, political science, experimental psychology or other closely related fields may be substituted for a maximum of one (1) year of Specialized Experience.
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Masters Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering. Credit Risk: Support step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis.
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Serve as a mentor for other members of the team with regard to the data engineering domain. Working knowledge/proficient with Microsoft data and analytics stack - ideally Fabric as a whole with a focus on SQL Server, Data Factory, Synapse, and Analysis Services / semantic models.
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Must have a Bachelor’s degree in Business, Finance, Accounting, Economics, Mathematics, Statistics, Engineering, Computer Science, Education, Public Policy, a Life Science field, a Health Care field, or a related field plus 5 years of progressive, post-baccalaureate work experience performing quantitative or qualitative analysis.
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Develops studies, plans, criteria, specifications, calculations, evaluations, design documents, performance assessments, integrated systems analysis, cost estimates, budgets, associated with the planning, design, licensing, construction, commissioning, operation, and maintenance of Exelon's electric generation, transmission, distribution, gas and telecommunication facilities/systems.
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North Wind Site Services is focused on providing engineering, program management, environmental remediation services including investigation and characterization, environmental restoration, unexploded ordnance/military munitions response (MMRP), regulatory public involvement services, environmental compliance, logistics, and records and facility management.
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Credit Risk: Drive step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis.
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Hold a mechanical or electrical engineering qualification gained through a time served apprenticeship or study, ideally at NVQ L3. Ensure the accurate and timely documentation of shift activities & performance, escalation of relevant events as required, real time use of CMMS, completion of relevant reports, root cause analysis studies and engaged contribution to daily meetings.
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Experience with data analysis or data engineering. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.
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