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Strong software engineering skills in Python to create scalable and robust infrastructure for deep learning data, modeling, and evaluation systems. The Applied Machine Learning Data Science team is an outstanding combination of machine learning techniques, algorithms, as well as real world business solutions that will impact billions of devices in the world.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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You have been a data scientist yourself and understand how to drive quality and data science excellence. You are a seasoned science manager with a proven track record of delivering high-impact ML/Deep Learning solutions.
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Extensive experience with modern Deep Learning (PyTorch/TensorFlow) A passionate data scientist, who has invested time in understanding Generative AI and experienced the power of LLM.
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O CompTIA Data+, Power BI Data Analyst, SAS Certified Data Scientist, Certified Analytics Professional, or other relevant professional designation or advanced degree. o Advanced knowledge of information security and systems, application controls and emerging technology utilization including but not limited to artificial intelligence, machine learning, deep learning, advanced process automation, cloud and application program interfaces.
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A minimum of a Master’s or a PhD degree in a relevant highly quantitative field such as Data Science, Statistics, Mathematics/Applied Mathematics, Machine Learning, Computer Science, Vehicle Engineering or other Engineering/Natural Sciences areas with a strong applied mathematics component or background.
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The Principal Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
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Demonstrable expertise in an area of data science or analytics (e.g. machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics.
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11 West 19th Street (22008), United States of America, New York, New YorkManager, Data Science - Fraud, Deep Learning. 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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Familiar with current and emerging techniques in analytics (machine learning, deep learning, AI) The Data Science Advisor position will report to the Senior Manager, CRM and Analytics.
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Experience with deep learning techniques for NLP, including recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models. As our Data Scientist with a focus on Natural Language Processing (NLP), you'll be instrumental in building out our capabilities to derive insights from complex healthcare datasets.
$150,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proven experience in applying Data Science methodologies to extract, process, and transform data from multiple sources. Stay abreast and evaluate the latest in AI research and technologies and determine how to incorporate these into our data science best practices.
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Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing or data mining. MS or PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Learning, Information Retrieval, Data Science or related field.
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Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly.
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What You Will Be DoingAs ana lead researcher on the science team, you will work with a close-knit, passionate group of world-class researchers tackling some of the most challenging problems in deep learning including multi-modal image synthesis, audio-visual data fusion, 3D computer vision, and the application of some of the most exciting works in generative AI.
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