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Experience with data and analytical tools, such as SQL and Power BI. R, Python and Adobe Analytics a plus. Additionally, the MAC Lead will be exposed to the ins and outs of developing data strategies for predictive analytic applications, fundamental skills of big data, data science and statistical learning methods, and agile delivery methodologies.
$166,465 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Preferred Qualifications: Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics.
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Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) Specialized experience in the fields of Information Retrieval, NLP, Data-centric AI, and Knowledge Graphs At least 3 years’ experience in PyTorch/Tensorflow At least 3 years’ experience with machine learning At least 1 year of experience working with AWS.
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Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Redhorse Corporation is actively seeking a Full Stack Software Engineer to join the Chief Digital and Artificial Intelligence Office (CDAO) Chief Technology Office (CTO) to provide strategic awareness, advice and expertise related to technology trends in support of the acceleration of the adoption of data, analytics, and AI across the DoD. This particular position focuses on advancing CDAO's AI/ML and data-driven initiatives in AI/ML model development, ML Ops, and applied Data Science.
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Expertise in one or more of the following: Serverless, Containers, IoT, Big Data Solutions, Security, Databases, and DevOps. Proven experience in developing backend services (applications for Android and iOS is a plus), and software development using a variety of modern programming languages (Java, JavaScript, C/C.
$261,500 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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MS or above in a technical or information analytical field, such as Data Analytics, Data Science, Information Management, Computer Science, Engineering, or Information Systems.
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Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics.
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