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Coordinate with the Retail Store Manager to execute a strategic retail operations plan that aligns customer service, sales and volume building, merchandising, inventory management, budgeting and expense control with SSC business and financial goals.
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As a Data Scientist at Capital One, youll be part of a team thats 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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As a Program/ Project Manager, you will be responsible for directing customer support services and engineering activities across all aspects of the program, including Service Desk, Deskside/ White Glove Services, systems engineering, Low Code/ No Code, DevSecOps, Automation, Hybrid cloud infrastructure, and cyber Engineering.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Works closely with the client Program Office and other customer management at the most senior levels regarding IT strategy, contractual requirements, and service delivery. Leidos’ Civilian Health Solutions Operation is seeking a dynamic, mission-centric hands-on Deputy Program Manager to support a federal agency’s large, mission-critical enterprise Program/ Project Management, PMO, Service Desk, Deskside Services and Hybrid Cloud Infrastructure environment.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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.
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This position offers the chance to be a part of building cutting-edge technology, data and machine learning applications across the Card Acquisition and Customer Management ecosystem. 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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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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This team builds full-rounded modeling solutions across customer life cycles, with strong collaborations and engagement with business stakeholders, cross functional partnerships including tech and data engineers, to problem solve and develop modeling strategy and solutions with innovative approach.
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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). You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering.
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We combine globe-scale platform big-data foundation with Artificial Intelligence and Machine Learning techniques, distributed systems solutions and deep system acumen to drive innovation that allows us to define and operate our datacenters beyond what was possible in the past with traditional techniques.
$94,300 - $198,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are looking for a highly motivated technical leader with previous digital transformation experience delivering, managing, and selling innovative technical solutions in Application/Software Development, SaaS/PaaS Implementation, DevSecOps, Artificial Intelligence/Machine Learning (AI/ML), Robotic Process Automation (RPA), Cybersecurity and Privacy.
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