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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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Big data” doesn’t faze you. 11 West 19th Street (22008), United States of America, New York, New YorkManager, Data Science - Fraud, Deep Learning. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
$229,900 a yearFull-timeExpandApply 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. 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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Manager, Data Science - Fraud, Deep Learning. The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters.
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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. San Francisco, California (Hybrid On-site): $213,400 - $243,500 for Manager, Data Science.
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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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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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Center 2 (19050), United States of America, McLean, VirginiaSenior Associate, Data Science - Retail Bank. You know understanding the data is often the key to great data science.
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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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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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New York City (Hybrid On-Site): $201,400 - $229,900 for Mgr, Data Science. Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, Pytorch, Tensorflow and more — to reveal the insights hidden within huge volumes of numeric and textual data.
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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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SAS, R, VBA, and/or Big Data experience. The Lead Data Science Developer will provide research, data management, and data provisioning support on a variety of projects.
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Proficiency in programming languages like Python , SQL, and working with big data tools like Spark and Hadoop. This senior leader would be the founding member of a Customer Data Science (CDS) team to take on these challenges – requiring this leader to develop and execute a team charter and roadmap , resulting in new customer and operational KPI reporting , predictive intelligence (e.g. , at - risk customers , customer maturity, etc.
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big job Title: data science in Silver Spring, MD
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