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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Expertise in developing and deploying machine learning models in cloud environments (AWS, Azure, GCP) w ith a deep understanding of cloud services, architecture, and scalable solutions.
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The Principal Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation.
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Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Expert in innovative areas such as Machine Learning, Deep Learning, MLOps. This position is for a Principal Data Scientist with strong Machine Learning System development experience, who will chip in to both strategic and tactic planning and execution to continuously advance AI Platform's vision and mission.
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Five (5) years of experience with machine learning algorithms and tools, artificial intelligence, deep learning, and Cloud infrastructure preferably AWS. As a Lead Data Scientist, you will support Hilton's Customers, Brands, Marketing, Digital, Revenue, and Sales organizations, with special support for the executive leadership team.
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Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
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In this role as a data scientist on the Credit Tools team, you’ll be optimizing valuations models for high-speed performance to enable faster decision-making, conducting comprehensive deep dives into machine learning pipelines and our data ecosystem, and leveraging distributed computing frameworks to build tools and solutions that work seamlessly with terabytes of data across multiple platforms.
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As an Advanced AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. Minimum of 4 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models.
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GDIT is seeking a Data Scientist to support its Technology Shared Services (TSS) Data Science team, developing predictive models, machine learning algorithms, and delivering data-driven solutions.
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Staff Data Scientist , you will derive performance improvement and cost efficiency in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, ML), and provide a data driven insight and scientific solution.
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Familiar with a range of machine learning models; for example: Random Forest, GBM, XGboost, GLM/glmnet, Deep learning convolutional models, recurrent models, and dimensionality reduction methods, including PCA, SVD , Isomap.
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As a member of the AI Lab in Autodesk Research you will be an expert in research areas such as artificial intelligence, deep learning, generative AI, machine learning, computer vision, reinforcement learning, information retrieval, and natural language processing.
$107,100 - $184,800 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
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O Advanced knowledge of information security and systems, application controls and emerging technology utilization including but not limited to artificial intelligence, machine learning, deep learning, advanced process automation, cloud and application program interfaces.
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