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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Provide thought leadership and technical proficiency in data driven decision and opportunities using various analytic methods such as predictive modeling, clustering, text mining, machine learning statistical forecasting, optimization, simulations etc.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
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We employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize their book-listening experience.
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Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets.
$75,779 - $94,637 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Demonstrated experience applying statistical modeling and/or machine learning methods to research problems, e.g., text mining, natural language processing, image segmentation, voice recognition, etc.
$78,700 - $145,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Primary focus will be in natural language processing (NLP), applying data mining techniques, doing statistical analysis and building high quality prediction systems. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
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Implements technology in the fields of image processing, machine learning, pattern recognition and data mining. We are a national staffing firm and are currently seeking a Algorithm Engineer / Data Scientist for a prominent client of ours.
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Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP)Domain expertise in the semiconductor industry an advantageNatural language processing (NLP) and text mining skills a plusNo travel requiredBelief in DiversitySynaptics is an Equal Opportunity Employer committed to workforce diversity.
$162,000 - $254,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge and theoretical understanding of image analysis, pattern recognition, machine learning, computer vision, and data mining methods. Role: Algorithm Engineer / Data Scientist.
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Experience in natural language processing topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, and application of deep learning to NLP.
$75,600 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop standard procedures to write, train, and test appropriate analytical or machine learning models including feature engineering and hyperparameter tuning Collaborate with Lead Data Scientist to ensure the model meets original objectives and address any questions about data and methodological validity Document metadata, transformations, and pipeline processes.
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Time series Analysis Different algorithms like Decision Tree and Random Forest algorithms, Support Vector Machine Algorithm Deep Learning and Computer vision Neural Networks, Tensor Flow and Keras Natural language processing (NLP) and Text mining Market Basket Analysis NLP with Python, Sentiment analysis Linear regression, Scikit Learn, Confusion matrix, Decision tree, Ensemble approach Random forest, Cross validation.
$75,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python.
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