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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, Applied Mathematics, Statistics/Biostatistics, Bioinformatics, or related field.
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Major or minor of studies in a field of Quantitative Finance, Financial Engineering, or a related technical field that blends advanced quantitative methods with finance and economics is a plus.
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Minimum THREE (3) years of hands-on experience implementing an enterprise metadata management programs, including deployment of enterprise taxonomy and ontology, and delivering enterprise metadata and/or content management solutions.
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We provide engineering design, project management, energy auditing, retro-commissioning, energy benchmarking, incentive recovery, and sustainability consulting to deliver comprehensive solutions from concept to completion for a variety of buildings and facilities.
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PhD in a relevant field (e.g., biology, math, pharmacology, biomedical engineering, chemical engineering, computation biology, computer science, etc.) VP, Data Science RWE | Top 5 Pharma.
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Preferred Skills:- Knowledge of Microsoft Office Suite including Outlook, Word, Excel, PowerPoint and SharePoint- Ability to train on database systems such as the Agency’s Laboratory Information Management System (LIMS) and Water Information Systems by Kisters (WISKI) data management systems- A general knowledge of field sampling equipment and standard water quality sensors.
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Keywords: Solar Energy, Renewable Energy, Solar Construction, NY Energy, Business Development, Solar Site Management, Solar Project Management. The Business Development Manager will work alongside our client's senior team to learn the ins and outs of solar project lifecycle management.
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Minimum THREE (3) years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities.
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Develop expertise on the Capital One threat landscape using internal data, threat trends, and operational metrics to clearly communicate the Capital One threat landscape to senior executives, to include the Chief Information Security Officer and Chief Information Officer.
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Microsoft Certified Solutions Developer (MCSD) Contract & Commercial Management (CCM) Certification Program, PMI Agile Certified Practitioner (Project Management Institute-ACP) PMI Agile Certified Practitioner (Project Management Institute-ACP.
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A successful candidate will have comfort and familiarity with a broad range of data analytics, analytics engineering, data science, and reporting tools and methods, as well as strengths in project management, change management, and communication among technical and non-technical stakeholders.
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EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Position SummaryThe Clinical Data Science team is tasked with activating CVS Health’s clinical data repository to improve outcomes across multiple lines of business and use cases.
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The research portfolio of the Dermatology Service includes optical engineering, artificial intelligence, basic science, translational science, epidemiology and clinical trials with over $5 million of annual funding from NIH, Foundations, Industry, and philanthropic sources.
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computer science project management data engineering hands on jobs in New York, Ashburn, Virginia
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