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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.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
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Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence.
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The Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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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. Center 1 (19052), United States of America, McLean, VirginiaManager, Data Science - Card Fraud Detection Data is at the center of everything we do.
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The Data Scientist applies a strong command of mathematical statistics, algorithm design, modeling, optimization and business acuity to support and drive the development of data-intensive products and services related to personalized adaptive learning.
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Familiar with current and emerging techniques in analytics (machine learning, deep learning, AI) The Data Science Advisor position will report to the Senior Manager, CRM and Analytics.
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Role: Director of Data Science NLP, LLM and GenAI. Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
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PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics. Senior Manager, Data Science - Tech Analytics page is loaded.
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This requires the combination of a deep understanding of statistics/machine learning/other unique methodologies, the technical skills to apply that knowledge to develop and validate models, the creativity to be able to/the curiosity to want to apply it in a unique way, and the results focus and analytical ability to quickly diagnose and fix data integrity concerns as they arise.
RemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Requirements:Knowledge, Skills, and Abilities:PhD in Computer Science or a related field with at least 1 years of experience OR MS in Computer Science or related field with at least 3-4 years of industry experienceExperience training and fine tuning LLMsExperience with time series anomaly detectionIn-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
$174,800 - $240,350 a yearFull-timeRemoteExpandApply NowActive JobUpdated 8 days ago
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