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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.
$267,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with a big data environment / IDE, such as Databricks and/or Snowflake. Collaborate and partner with the Data Platform and Enterprise Architecture teams to ensure data architectures, models and pipelines are designed and built to enable, monitor, and sustain data science and machine learning.
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Big data" doesn't faze you. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. New York City (Hybrid On-Site): $201,400 - $229,900 for Mgr, Data Science.
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Whether it's big or small data, our team's ability to turn that data into insights and insights into great decisions hinges upon the code that makes it all work. PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics.
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Design and develop the pipelines required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python and AWS big data technologies.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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We help our customers to build and enable those systems by creating trusted data engineering architectures, machine learning algorithms, and analytic techniques that put the power of big data at our users' fingertips while leverage deep expertise in human decision-making and collaboration to best pair humans and machines.
$50,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Good understanding of landscape of AI solutions - cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing.
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You know understanding the data is often the key to great data science. Manager Data Science. As a Data Scientist on the deployment & platform side of the team, you'll be at the forefront helping us to usher in the next wave of disruption by using the latest technology to deploy, optimize and modernize model pipelines and execution platforms that enable machine learning models to provide powerful insights about our portfolio and growth opportunities through new data sources.
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Recruiting: VA - McLean, United States of America, McLean, VirginiaManager Data Science. Locations: VA - McLean, United States of America, McLean, VirginiaManager Data Science.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients.
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