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Capital One is seeking a subject matter expert to deliver game-changing cybersecurity solutions based on threat, data, and design thinking. Hands-on knowledge and expertise in building and/or securing technology, including operating systems, databases, virtualization, cloud computing environments, and networks.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.
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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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San Francisco, California (Hybrid On-site): $174,900 - $199,700 for Data Science PhD. New York City (Hybrid On-Site): $165,100 - $188,500 for Data Science PhD. Our areas of research include reinforcement learning, recommender systems, causal inference, and deep learning with a focus on transformers.
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You are a naturally curious technologist and stay on top of emerging trends, including hands-on prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities.
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Sr. Manager, Staff Product Designer - Enterprise Data(Hybrid) page is loaded Sr. Manager, Staff Product Designer - Enterprise Data(Hybrid) Apply locations San Francisco, CA McLean, VA time type Full time posted on Posted 6 Days Ago job requisition id R184092 201 Third Street (61049), United States of America, San Francisco, CaliforniaSr. Manager, Staff Product Designer - Enterprise Data(Hybrid) At Capital One, we’re building a leading information-based technology company.
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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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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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You have hands-on experience developing data science solutions using open-source tools and cloudputing platforms. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an amodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at.
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Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.
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