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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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Through the WSS curriculum and faculty, students will be introduced to the powerful impact that mathematical prowess can have in solving complex challenges in a wide range of disciplines, including physics, biology, genetics, computer science, neuroscience, robotics, artificial intelligence, among others.
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Utilize traffic engineering software and tools (e.g., Synchro, VISSIM) to support data analysis and reporting tasks. Collaborate with project managers and engineering teams to gather data, provide technical input, and ensure that traffic reports align with project objectives and regulatory requirements.
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Bachelor degree in Computer science, Engineering, Finance or Quantitative finance. This platform is critical to our client's trading operations, processing tick-by-tick data and driving algorithmic trading, client reporting, and P&L calculations.
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Exciting Opportunity at MSK: Postdoctoral Fellow in Computational Genomics and Cancer Data Science. A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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NVIDIA is looking to hire a Senior Distributed Acceleration Engineer to work on RAPIDS, a suite of open-source software libraries that accelerates end-to-end data science and analytics pipelines on GPUs. RAPIDS relies on NVIDIA CUDA for low-level compute optimization but exposes high-performance GPU computing through user-friendly Python interfaces.
$276,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferably a master's degree related to Intelligence Studies, Forensic Science, Security Studies, Computer Science, Cybersecurity, Data Analysis, or a related field. Behavioral Science/ Behavioral Analysis/Behavioral Threat Assessment experience or training.
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A master's degree in computer science from an accredited college or university and three years of progressively more responsible, full-time, satisfactory experience in Information Technology (IT) including applications development, systems development, data communications and networking, database administration, data processing, or user services.
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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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Advanced degree in a relevant field is strongly preferred (e.g., Business Administration, Public Administration, Public Policy, Computer Science, Information Systems, Urban Planning, Law, etc.
$107,281 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Bachelor’s Degree in Computer Science, Information Systems or related field or equivalent industry experience. As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Ability with respect to computer science and software engineering would also be valued (enterprise applications, network security, network protocols, databases, web services, operating systems, software user interfaces, open source, etc.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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data science computer information systems software engineering jobs Company: Kpmg in New York
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