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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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Emerging ML is the data science and machine learning team inside Capital One's Applied Research organization. Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms.
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We focus on research and development of new technologies within the domain of Artificial Intelligence with a focus on Embeddings and Foundation Models. Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention.
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San Francisco, California (Hybrid On-site): $213,400 - $243,500 for Manager, Data Science. San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Mgr, Data Science.
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New York City, New York (Hybrid On-Site): $201,400 - $229,900 for Manager, Data Science. New York City (Hybrid On-Site): $201,400 - $229,900 for Mgr, Data ScienceSan Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Mgr, Data Science.
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Innovation is at the heart of everything we do at the Audit Analytics and Innovation Team. We're not a traditional Data Science team: we build creative ML solutions across multiple domains from LLM based chatbots, GenAI powered applications, to AML/Fraud solutions, Card statements anomaly detection, Customer call transcripts intelligence, etc.
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You’re experienced with open source languages and how they’re used in artificial intelligence and machine learning. At least 4 years’ experience with custom code-driven machine learning projects using packages such as scikit-learn, H2O, xgboost, PyTorch, JAX, etc.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Innovation is at the heart of everything we do at the Audit Analytics and Innovation Team. We’re not a traditional Data Science team: we build creative Machine Learning solutions across multiple domains from LLM based chatbots, GenAI powered applications, to AML/Fraud solutions, Card statements anomaly detection, Customer call transcripts intelligence, etc.
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San Francisco, California (Hybrid On-site): $248,700 - $283,800 for Sr Mgr Data Science. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr Mgr, Data Science. PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics.
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Center 2 (19050), United States of America, McLean, VirginiaSenior Manager, Data Science - Emerging ML. Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.
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