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If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey! Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Our team develops and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Marks/tattoos appropriate body anatomy for daily re-positioning on linear accelerator; Documents or captures patient measurements and machine treatment parameters for dosimetry planning and calculations; Acquires Computed Tomography machine data sets for patient positioning, contours and set-up parameters.
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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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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.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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MS/PhD in areas of interest which include Defense (biosecurity, intel, threat assessment), Machine learning and modeling (computational biology, bio- or medically focused AI/ML, digital twins, predictive and multi-scale modeling) and chemistry (medicinal, organic, inorganic.
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Work may also involve supporting design, use case, and technical specifications for novel artificial intelligence (AI) / machine learning (ML) applications to support new entrants in aviation. Candidates will also help evaluate use cases, applications, and considerations of the use of artificial intelligence and machine learning (AI/ML) for ensuring cybersecurity of systems within the government.
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At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. The Enterprise Services Business Risk Office provides risk management support to several lines of business including: Tech, Digital, Brand, Enterprise Supplier Management, Capital One Ventures, External Affairs, Capital One Software (COS) and Enterprise ML. We are on the cutting edge of risk management and provide support for new and emerging technologies as well as critical business strategies.
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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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Performing pat down searches, operating an x-ray machine, screening baggage, and reviewing tickets. At least one year of full-time work experience in security work, aviation screener work, or X-ray technician work.
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Knowledge of artificial intelligence and machine learning concepts and how it can be applied to analyzing data or automating manual tasks. Strong knowledge of SQL querying and data analysis techniques.
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Nespresso offers retail employees performance-based incentives and a total rewards package, which includes a free Nespresso machine and coffee product allowance, a 401k with company match, educational reimbursement, health and mental wellness programs, DE&I resource groups, commuter benefits, pet adoption reimbursement, employee recognition program and discounts at over 2,000 companies and more.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. As the VP of Enterprise Data Strategy and Solution at Fluence, you will: Lead large transformations for former employers and has evolved & matured current Master Data Management, Data Governance, Data Architecture, Data Quality, Enterprise Data Management, and Data Design practices.
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Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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machine job Title: data science Company: Capital One in Falls Church, VA
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