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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Emerging ML is the data science and machine learning team inside Capital One's Applied Research organization. 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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Guardian is seeking an experienced individual contributor with a strong background in LLM and Generative AI. Your responsibilities will include developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products.
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Strong background in deep learning models including Large Language Models (LLM), Prompt Engineering, and Natural Language Processing (NLP) Data Scientist (LLM), Data Science Lab.
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Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. Support and help build the Data Science Lab (DSL.
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Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning. As a Data Science Group Manager you will lead a team of data scientists to build high performing machine learning models.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. 7+ years of experience doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including 3+ years of experience in the gaming or media industry.
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Additionally, we are dedicated to delivering new, innovative capabilities by deploying cutting-edge machine learning algorithms and artificial intelligence techniques to solve complex problems and create value.
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We are looking for people at the Senior Manager and Director level within the Data & Analytics + Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI.
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Data Science/Traditional Modeling, Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms, Understanding of finance and valuation concepts.
$90,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Thorough understanding of data risk in a regulated global financial environment Good knowledge of Artificial Intelligence, Machine Learning methods and Deep Learning.
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Interest in Artificial Intelligence, Machine Learning, BI and Visualization trends. Visualize the story of underlying data leveraging Portfolio Metrics, Agility Metrics, Productivity Metrics, OKRs, and Capacity & Demand metrics.
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Innovation in healthcare through the application of artificial intelligence and machine learning techniques to analyze clinical data, predict patient outcomes, and improve care delivery.
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We focus on research and development of new technologies within the domain of Artificial Intelligence with a focus on Embeddings and Foundation Models. Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.
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artificial intelligence machine learning jobs Title: data science in New York, NY
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