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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. 11 West 19th Street (22008), United States of America, New York, New York Manager, Data Science - Fraud, Deep Learning Manager , Data Scientist, Fraud Data is at the center of everything we do.
$229,900 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). 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.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Mgr, Data Science. PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics.
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You know understanding the data is often the key to great data science. At least 4 years’ experience in Python, Scala, or R for large scale data analysis. Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
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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. Manager, Data Science - Card Fraud Detection.
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Team Description The US Card Data Science team builds industry leading machine learning models to empower core underwriting decisions in the acquisitions and management of new and existing credit card customers.
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