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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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Essential SkillsBachelor's / Master’s or degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. 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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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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A masters degree from an accredited college or university in one of the following areas of study: environmental or chemical engineering, limnology, environmental science, marine science, geology, biology, earth science, chemistry, physics, or health science; or 2.
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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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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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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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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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Strong understanding of the following verticals: IT Operations, DevOps, Application Monitoring, Enterprise Integration, Business Process Management, Decision Management, ECM, and RPA. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
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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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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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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.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Requirements: Bachelor’s Degree Mechanical Engineering, Electrical Engineering, Environmental science/studies, Architectural Engineer, or equivalent Authorized to work in the United States 3+ years of experience working with NYC Energy Rebate Programs with sustainability or energy efficiency experience.
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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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SI Engineering, P.C. (SIE) is a full-service consulting engineering firm based in downtown Manhattan providing services in civil, structural, transportation engineering, bridge & facility inspection, construction management & inspection and lighting design.
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computer science management data engineering jobs Company: City Of New York in New York, Ashburn, Virginia
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