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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.
$229,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data Technologies:Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry.
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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. Manager, Data Science - Fraud, Deep Learning.
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You thrive on bringing definition to big, undefined problems. Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms.
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Innovation is at the heart of everything we do at the Audit Analytics and Innovation Team. We’re not a traditional Data Science team: we build creative ML solutions across multiple domains from LLM based chatbots, GenAI powered applications, to AML/Fraud solutions, Card statements anomaly detection, Customer call transcripts intelligence, etc.
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Familiarity or experience with developing solutions in response to U.S. Government Agencies' solicitations, to include but not limited to the following: Department of Transportation (e.g., FAA), NASA (including JPL), Department of Commerce (e.g., NOAA), Department of Energy (e.g., HQ, NNSA), or National Science Foundation.
$150ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Object-oriented coding experience and shell scriptingInfrastructure knowledge:Linux systemsVirtualizationDockerKubernetesCloud (AWS/Azure/GCP)Experience in building solutions with Big Data tools and frameworks, some of:SQL DBsSpark, Hadoop, Cassandra, Redis, Mongo, Elastic.
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Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) Center 2 (19050), United States of America, McLean, VirginiaSenior Associate, Data Science - Retail Bank.
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They also use and advise on such tools as machine learning, natural language processing, web scraping, big data platforms, and data visualization techniques and their application to relevant public policy issues.
$57,800 - $79,086 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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The Sr. Data Science Analyst will manage, architect and analyze big data in order to build data driven insights and high impact data models. The Sr. Data Science Analyst supports the development and maintenance of business intelligence solutions and analytics products.
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Having experts in a wide variety of domains (software architecture, big data & cloud computing, aviation domain, etc.) Experience with data science, analysis, modeling, and visualization using Python, R, and/or Clojure.
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The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters. New York City (Hybrid On-Site): $201,400 - $229,900 for Mgr, Data Science.
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Ph. D. in Computer Science, Statistics, Mathematics, or other social or natural science with a focus on data science and documented experience in the application of data science to Big Data problems involving Machine and/or Deep Learning in the natural and/or social sciences.
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You will be impacting every aspect of the business and it will require various techniques, from diving deep into data with SQL and Big Data tools, all the way to deploying modern machine learning models.
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big job Title: science in Arlington, VA
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