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3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 2+ years of experience with AWS, GCP, Azure, or another cloud service. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
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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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Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leaveAt the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range.
$249,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS. 5+ years of experience designing and building data-intensive solutions using distributed computing.
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Solid technical competency; possess working knowledge of technical topics such as cloud computing, datacenter operations and network architecture. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave.
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Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. 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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We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
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Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization. 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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At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud). 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud.
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In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. Experience working with Azure, AWS or Google Cloud Platform (GCP.
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