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As a Data Scientist at Capital One, youll be part of a team thats 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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Engineers in this group typically have experience with deep learning, image analysis, machine vision, statistical learning, or signal processing. This group is seeking scientists with a passion for innovation to lead deep learning research and development in industrial machine vision as well as those who have the aptitude and interest to work with an exceptional development team.
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Evangelize human-centered technology : Foster a culture of continuous learning and knowledge sharing on emerging trends in data science, machine learning, artificial intelligence, and related technologies.
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Established expertise and leadership in the fields of artificial intelligence, machine learning, or uncertainty quantification as evidenced by peer-reviewed publications. Nationally recognized expertise in the field of artificial intelligence, machine learning, or uncertainty quantification.
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Evaluates and recommends upcoming industry trends, best practices, cutting-edge tools, and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence, and natural language processing.
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Principal Data Scientist, Consumer Identity Machine Learning. Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization.
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As a Research Scientist here, you will develop innovative machine learning techniques and advance the research agenda of the Superalignment team, while also collaborating with peers across the organization.
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Working knowledge of machine learning, data engineering, deep learning frameworks, and related testing techniques. They build autonomous driving software for automakers, based on a breakthrough in artificial intelligence that finally makes highway autonomy safe and scalable for the consumer car market.
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Collaborate with other researchers and engineers to extend the state of the art in parallel computing, machine learning, data analytics, and other technology areas surrounding NVIDIA's business.
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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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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Bachelors Degree in in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science or related fields if accompanied by a Certificate in Data Science from an accredited college/university.
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Data Science Manager, LeadThe Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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Execute predictive and inferential analytics, machine learning, and artificial intelligence techniques. The Data Scientist Manager thrives when constructing complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages.
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4+ years of experience in statistics and AI/ML (Machine Learning), through a combination of driving cutting-edge research into real-world impact, peer-reviewed publications, and public code projects.
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