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There is an abundance of challenging and sophisticated work here, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), machine learning (ML), enterprise and mobile applications, databases and data structures, web and cloud services, virtualization, operating systems, file systems.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Microsoft Azure, Databricks. Currently pursuing a graduate degree in Statistics, Mathematics, Economics, Data Science, Data & Analytics, Computer Science, or other STEM related degree.
$46 an hourInternExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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2) Experience in data science, statistical analysis, and machine learning techniques to deliver quality performance and product support. AND (5) Professional experience working or using tools such as: Regression Analysis, Statistical Analysis, Modeling, Machine Learning, Natural Language Processing, Time Series Forecasting, Data Visualization, TOAD, SAS, R, Python, Tableau, Power BI, and cloud analytics platforms sufficient to lead and conduct advanced analytics projects.
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Bachelor’s Degree in Computational Linguistics, Linguistics, Computer Science with Linguistics focus, or equivalent discipline. CACI seeks a cleared and talented Data Scientist to join our National Security and Innovative Solutions Sector.
$263,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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Virginia Tech's Innovation Campus is a bold, new vision for graduate education in computer science and computer engineering. All Innovation Campus faculty have academic appointments in Virginia Tech's highly ranked Electrical and Computer Engineering or Computer Science departments.
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Hand held scanner, telephone, hand held radio, computer, printer, scanner, copier, fax machine, writing instrument, reports, logs, spreadsheets, merchandising diagrams (planograms), point-of-sale terminal, petroleum and/or propane equipment and terminals, fertilizer and crop protectant blenders and spreaders, loaders, forklifts, pick-ups, delivery trucks, and other tools and equipment.
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Qualifications: Bachelor’s degree in computer science, science technology, international relations, political science, economics, law or a related interdisciplinary field with minimum of eight (8) years of experience supporting development activities (USAID-funded activities preferred.
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Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies. Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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machine learning computer science jobs Title: data scientist Company: Motion Recruitment Partners Llc in Arlington, VA
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