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Use cutting edge technologies such as Python, Scala, Spark, and a variety of AWS services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence.
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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. We focus on research and development of new technologies within the domain of Artificial Intelligence with a focus on Embeddings and Foundation Models.
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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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At least 3 years’ experience with machine learning. At least 5 years’ experience with machine learning. 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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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.
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At least 2 year of experience with machine learning. At least 4 years' experience with machine learning. You have experience with clustering, classification, sentiment analysis, time series analysis and deep learning.
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Conducting research into self supervised learning, transformer models, and representation learning. 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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Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
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