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Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Stay updated on the latest advancements in data science, machine learning, and artificial intelligence. Develop and deploy machine learning models to predict trends and optimize processes.
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The Principal NLP Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
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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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Significant experience using Python, including use of modern data science and machine learning packages and frameworks (Java, c. A provider of analytics and software services for the intelligence and defense communities is seeking a Data scientist.
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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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Support National Security clients as a Data Scientist performing data science, analytics, data wrangling, statistical analysis, and machine learning. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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3+ years of experience performing data science and analytics (e.g., data visualization, statistical analysis, predictive analysis, and machine learning) with special emphasis on data aggregation/synthesis, data wrangling, prepping data for model consumption.
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Emerging ML is the data science and machine learning team inside Capital Ones Applied Research organization. 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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Proven experience as a Data Scientist, with a strong background in statistical analysis, machine learning, and predictive modeling. Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence, and proactively suggest innovative approaches to enhance the ADVANA program's data analytics capabilities.
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Broad science and technology knowledge base that includes statistical and finite element modeling, clustering and classification, signal processing, and Machine Learning. IntroductionApplied Research Associates, Inc. (ARA) is seeking a Senior Scientist Manager to join the Health, Environment, Analytics, Risk, and Technology (HEART) Directorate.
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As an Advanced AI Research Scientist, you formulate real-world problems into practical, efficient, and scalable AI and Machine Learning problems. + As a significant part of this role, you will be justifying the value of innovative generative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, and you'll be expected to construct methodologies that clearly demonstrate their value.
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BrightLabs Data ScientistThe 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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Are you a machine learning engineer or data scientist with development skills who relishes the opportunity to leverage and deploy AI models within a solution? These opportunities require developers capable of building the services and infrastructure necessary to realize the promise of ML and AI. As an AI Systems Engineer, you will transform cutting edge machine learning capabilities into applications that solve global challenges.
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Advanced understanding of machine learning, including designing and testing models; working knowledge of deep learning, or recommendation systems is a plus. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
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