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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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The ML 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.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including machine learning AI, mobile optimization, gamification, behavioral economics, and virtual/augmented reality.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$130,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Strong understanding of data science approaches including machine and deep learning; background in immunology, biology or oncology a plus. Demonstrated experience applying machine learning and deep learning algorithms to medical imaging analytics including CT, MR, and/or PET scans; experience in additional imaging domain (H&Es, IHC) a plus.
$114,375 - $190,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including Machine learning AI, Mobile Optimized Surveys, Gamification, Behavioral economics, real-time feedback, Multimodal surveys, Blockchain technology, Virtual and Augmented reality.
$160,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.) Conduct research on cutting edge technologies in AI/BI/ML/NLP, alternative data, FinTech, high performance computing (e.g. GPU, quantum computing) to discover the potential opportunities to the business applications.
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Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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The Market Research Analyst will be responsible for collecting, analyzing, and interpreting data to provide insights into market trends, consumer behavior, and competitive landscapes.
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Experience with data science, machine learning, and/or artificial intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.
$118,300 - $213,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PSC advances science across a wide spectrum of fields including artificial intelligence / machine learning, medical imaging, weather modeling, cell biology, and genomics. Master’s or PhD degree required, with preferred education/experience in Biology, Biomedical Informatics, Biomedical Engineering, Computational Biology, Computer Science, Data Science, AI/ML, or related fields.
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Familiarity with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) for analyzing Earth observation data in the context of carbon monitoring and climate analysis is advantageous.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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