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PhD degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics or a related field; coursework or academic research to include image identification or artificial intelligence.
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The Card Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters. 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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Technical Expertise: Deep knowledge of machine learning, predictive analytics, and statistical modeling techniques, with proficiency in data science tools and programming languages such as Python, R, or Scala.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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11 West 19th Street (22008), United States of America, New York, New YorkManager, Data Science - Fraud, Deep LearningManager, Data Scientist, Fraud. The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters.
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This is an opportunity for a Machine Learning Engineering Manager to come in and drive Data Science and ML initiatives for the enterprise. Experience with CNN training and deep learning frameworks such as PyTorch, Tensorflow, Keras or similar.
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Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
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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.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We're on the hunt for a highly skilled and experienced senior data scientist to lead the delivery of Generative AI solutions at the Citi Innovation Lab. We need someone who's not just knowledgeable but hands-on, with a track record in data science, Natural Language Processing (NLP), Understanding, and Generation.
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Contribute to the growth of the Data Science team by sharing your ideas, intellectual property and learning from others. We employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize their book-listening experience.
TemporaryExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Ph. D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 4+ years of industry data science experience required; If PhD degree, a minimum of 2+ years of industry data science experience required.
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Technical Qualifications: Advanced degree (PhD or Postdoc) in finance,puter science, mathematics, statistics, machine learning, physics, or a related scientific discipline. Utilizing state-of-the-art statistical and machine-learning models to bolster our R&D system.
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Experience with data science, data engineering, machine learning or AI. See the big picture: Connect the dots by digging deep to uncover trends and insights from data to move analyses beyond descriptive analytics.
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Strong understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, etc. Our investments in technology such as Custom API, trading systems and data science is to enable easy access to financial services that were previously inaccessible or difficult to understand.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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We achieve this by using a combination of machine learning, big data analytics, ultra-low latency high-volume engineering systems, and quantitative product focus. Do you love to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.
$127,300Full-timeExpandApply NowActive JobUpdated 3 days ago
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