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This team focuses on implementing all aspects of data analytics and data science, including data querying, visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation (RPA.
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Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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Must have 3 years of experience in Advanced Machine Learning, Applied Statistics, and Artificial Intelligence, including demonstrated experience in Business Domain, risk management protocols, abstract requirements, early-stage issues/gaps identification, problem solving, concepts application, customer service, basic situation analysis, statistical modeling, computer programming, and software engineering.
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The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack. We are seeking an Expert Data Scientist with a versatile skill set to undertake data science and analytics supporting the development of next-generation products for Acxiom’s business.
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Lead data science, artificial intelligence, and machine learning projects. Data science, artificial intelligence and machine learning projects.
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Experience with a variety of systems, such as image recognition, machine learning, Edge AI, networking and communication, deeplearning, artificial intelligence, advanced computing, image annotation, data science, and image/video segmentation.
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Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence.
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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Analytics Impact: Contribute to and manage advanced analytics (Data Science/ Artificial Intelligence / Machine Learning) initiatives that create tangible business value, beyond POCs and Pilots.
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M.S. in computer science, information technology, software engineering, artificial intelligence, machine learning, or related discipline with 2-3 years of experience in software development.
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The Data and Analytics (DnA) team powers that value and propels Salesforce growth by providing trusted data, insights, and artificial intelligence that enables us to make more informed decisions in every dimension.
$125,700 - $243,100 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others.
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Our Team We have an opportunity on the Artificial Intelligence / Data Science organization at Georgia-Pacific’s Collaboration & Support Center, located in Atlanta, GA. We are looking for an experienced Lead Operations Research Scientist to join a team of Data Scientists to focus on providing support and solutions to our manufacturing operations.
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Master's degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or a related field (PhD preferred). As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team.
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Artificial Intelligence & Data Engineering. Work with data science techniques and libraries to show data’s applicability to business problems. 5+ years of experience in developing algorithms using data science technologies to build analytical models.
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data science artificial intelligence jobs Title: scientist in Atlanta, ID, United Kingdom
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