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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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Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting.
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You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Have you ever seen the headline in the news “ Banks Pass Federal Reserve Stress Tests ” and wondered how Capital One determines how much savings (or “capital”) it needs.
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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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Mine for real time insights hidden in large internal and external datasets that have time and geospatial components to help Capital One and our customers make crucial business decisions.
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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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New York City (Hybrid On-Site): $161,900 - $184,800 for Data Science PhD San Francisco, California (Hybrid On-site): $171,500 - $195,800 for Data Science PhD Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Develop the real-time models that use vast amounts of customer data to anticipate customers' needs and deliver the right options at the right time. We deliver real-time, personalized, intelligent customer experiences in Capital One's suite of award-winning digital products, including our website, mobile app, emails, chatbot, and beyond.
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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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The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters. We prevent fraud at many steps of a customer journey, from the application to spending and payments, using real-time models.
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Team Description Business Card & Payments Data Science team builds industry leading machine learning models to empower credit underwriting decisionings, supports advancement in Capital One business card product strategies, decisioning and credit infrastructures.
$267,900 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The minimum and maximum full-time annual salaries for this role are listed below, by location. 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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Plano 7 (31067), United States of America, Plano, Texas Manager, Data Science - Financial Services At Capital One, we think big and do big things. Capital One was the first major bank to move to cloud computing and to publish APIs for the Open Banking future.
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We provide the highest quality of relevant, insightful, real-time customer data that's easily usable and consistently accurate. At Capital One, you'll be part of a big group of builders, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.
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Have a software engineering/problem solving mindset being equally comfortable with deep diving on real time APIdesign with an understanding of how to build highly resilient operational platforms that can scale to 50k+ TPS with 4 9's availability as well as in-depth knowledge of handling large data pipelines to clean and transform data.
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time job Title: data Company: Capital One
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