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Audible Content Data Science team partners with business, technology, and product leaders to solve problems related to Content Understanding, Content Evaluation, and Recommendations, relying on Natural Language Processing (NLP), ML, Deep Learning, LLMs/GenAI. We operate in an agile environment in which we own the life cycle of research, design, model development and, often, deployment.
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Mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In-depth expertise in statistical analysis, machine learning algorithms, and predictive modeling techniques. Experience in working with unstructured data, such as text or image data, and applying natural language processing or computer vision techniques.
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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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Strong experience with computer vision (CV) or natural language processing (NLP) using deep learning. The Department of Medicine, Division of Nephrology is seeking a full time Data Scientist III. An Artificial Intelligence and Data Scientist 3 will assist in multiple ongoing and future biomedical microcopy artificial intelligence research projects by (1) performing data analyses, processing, and feature extraction, and developing data tools for accelerating research; (2) developing and validating a variety of machine learning/deep learning models with heterogenous cell and tissue imaging data.
$90,372 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Demonstrated coursework / real world application of analytical methods such as Regression, Naïve-Bayes, Decision trees, experimental designs, support vector machines, machine learning and text mining, Natural Language Processing.
$40 - $43 an hourPart-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Predictive Modeling, Machine Learning, Deep Learning, 3rd Party & 1st Party data integration, Natural Language Processing (NLP), Computer Vision and Digital Image Processing.
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AI/ML Development : Oversee the design, development, and deployment of scalable AI and ML models and platforms to support various biotech applications, including predictive modeling, image analysis, natural language processing, and computational biology.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The internship will involve using data science techniques that include predictive modeling, machine learning, text mining, segmentation and clustering to help in developing solutions to increase revenue and improve Member Experience.
$43 an hourPart-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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4+ years of relevant data analytics experience in one or more of the following areas: statistical modeling, machine learning, natural language processing (NLP), and geographical information system (GIS.
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Experience in advanced predictive modeling, natural language processing, or computer vision. Master’s or Ph. D. in Computer Science, Machine Learning, Statistics, or a related field.
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Req Demonstrated expertise in applying advanced statistical and machine learning techniques to real-world problems, such as predictive modeling, natural language processing, computer vision, or recommender systems at scale.
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A strong background in machine learning, deep learning, natural language processing, and statistical data analysis techniques and computational simulation. Utilize computer simulations, modeling, and augmented reality/virtual reality (AR/VR) for predictive analytics and "what-if" scenarios.
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Use cutting-edge AI techniques from Natural Language Processing (NLP), Computer Vision and Time Series Analysis to create innovative solutions that meet business needs. Build predictive and prescriptive modeling techniques exploiting mathematical modeling and traditional statistical approaches in addition to the latest algorithm technology in machine learning and artificial intelligence.
$80,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Artificial intelligence, including computer vision, natural language processing, human language technologies, multimodal sense-making, and other AI/ML based systems. Computational social science (including agent-based modeling and simulation, social media analysis, behavioral economics, game theory, predictive modeling.
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