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Preferred Qualifications: PhD degree with 4+ years experience in computer science, computational biology, bioinformatics, biomedical informatics, genetics, statistics or related fields with a strong publication record.
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A strong educational foundation, frequently a bachelor’s degree in computer science, mathematics, statistics, or a similar discipline, followed by a master’s or even a Ph. D. for more advanced responsibilities, is typically required to become a Data Scientist.
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Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data Science, Statistics, Applied Mathematics, or another quantitative field. Nice to have: Experience with Golang, and/or GitExperience with SpaCy, Transformers, PyTorch, or similar NLP frameworkExperience working with ontologies and knowledge graphsExperience in MLOpsMaster's Degree in Data Science, Statistics, Applied Mathematics, or another quantitative field.
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Deep understanding of various AI technologies, including machine learning (ML), natural language processing, computer vision, deep learning, retrieval-augmented generation (RAG), and generative AI models, and programming languages such as Python, R, or Java.
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Degree in Data Science, Computer Science, Engineering, or a related field, with a specialization in Artificial Intelligence, Machine Learning, and Analytics. Preferred experience with natural language processing (NLP), computer vision, and deep learning techniques.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Apply a variety of data science techniques to tackle customer challenges to include machine learning, generative AI, natural language processing, computer vision, reinforcement learning, statistical modeling, mathematical optimization, and data visualization.
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Master’s degree in Computer Science, Mathematics, Operations Research, or related Quantitative field plus three years of experience with data science/deep learning models required.
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Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning, data visualization and other quantitative methods.
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We combine expertise across multiple fields: high-performance scientific computing, physics-based modeling and simulation, data science, machine learning, applied mathematics, optimization, statistics, decision support, data analysis and visualization, computer systems architecture, quantum computing, neuromorphic computing, human-technology connections, and others.
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Ways To Stand out from the Crowd: Background with real-time computer vision AI inference and/or Analytics platforms Experience in application issues, algorithms, and data structures Understanding of the functioning of AI services, deep learning and AI Exposure to scheduling and resource management systems.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Science and Visualization (DataViz) team at Apple is currently seeking an enthusiastic team player to join our small, supportive, inclusive, and dynamic team as a Data Scientist and Visualization Specialist.
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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 3 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry Required Skills •Engineering skills to be able to optimize data analysis workflows for speed and usability •Proficiency in programming languages such as Python and R, with experience in data analysis and machine learning libraries.
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Demonstrated research or applied science experience in Natural Language Processing, Computer Vision, Multimodal analysis, Deep Learning, Machine Learning, or a related field.
$112,000 - $238,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required.
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computer science data visualization deep learning jobs in Kekaha, Hawaii
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