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Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze insights from extensive structured and unstructured datasets.
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Job Title: Data Scientist (NLP) (Hybrid/ days onsite) Location: Addison, TX, or Charlotte, NC Job Overview: The Enterprise Complaints Operations and Enablement - Reporting and Analytics AI team designs and develops AI automation machine learning solutions that drive daily business decisions.
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As a Staff Data Scientist, you will utilize your expertise in data mining, predictive modeling, machine learning, and NLP techniques to drive strategic decisions for WCS. You will be at the forefront of implementing models and strategies using A/B testing or Design of Experiments (DOE), tracking business performance, and providing insightful visualizations to support and continuously improve WCS business strategy.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Knowledge and expertise in machine learning and deep learning concepts, including model training, evaluation, and deployment, as well as statistical modeling and data mining techniques.
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You must have strong technical depth and experience in application of Machine Learning, Deep Learning, and Data Science techniques. Be responsible for driving, designing, and building cutting edge innovation in the space of cybersecurity through Artificial Intelligence and Machine Learning - current scope of problems includes behavior biometrics, risk-based authentication, Account Takeover protection, advanced threat detection, smart incident response, AI model threat analysis, and many more.
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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Relevant experience must be two of more of the following: 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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Basic experience or basic understanding of machine learning, data mining, natural language processing and GenAI. Responsible for data mining, data science, statistical analysis including linear regression analysis, decision analysis, statistical modeling, and advanced data analysis to support operational decision making and drive business intelligence (BI) insight.
$105,000 - $156,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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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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In addition, the Data Scientist shall understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning.
$90,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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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Working experience in some of the following data science areas:Machine Learning and Predictive modelingText mining and Natural Language ProcessingRecommendation systemsData analytics with multi-dimensional dataGenerative models.
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Researching and identifying Artificial Intelligence (AI) methods - including Machine Learning (ML) and Natural Language Processing (NLP) methods. About You: You're a good fit for the role of Data Scientist if you have: A minimum of DHS-granted public trust suitability required, active DOD Secret or Top-Secret clearance preferred.
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This group is entrusted with developing core data mining, natural language processing, and machine learning solutions for AWS services. - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects.
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10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
$105,353 - $179,101 a yearFull-timeRemoteExpandApply NowActive JobUpdated 8 days ago
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