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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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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence.
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Statistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualization. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
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Build and implement predictive models using different multiple machine learning (ML), robotic processing automation (RPA) and natural language processing (NLP) algorithms (linear and logistic regression, time series forecasting, decision trees, survivability analysis, etc.
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5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining. Experience with natural language processing, text mining, or ML techniques.
$110,100 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. QinetiQ is looking for a results-driven Data Scientist to support NSG strategies through the creation of automated collection, models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
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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.
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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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3 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.
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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.
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Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions.
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Machine learning techniques and algorithms, such as k-NN (K-nearest neighbors), Naive Bayes, SVM (Support vector machines), Decision Forests, etc., We are currently looking for a data scientist that will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products.
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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Knowledge of data mining, machine learning, data visualization and statistical modeling. Additionally, they will participate in a wide variety of Natural Language Processing activities, building Machine Learning Models, AI Algorithms, code and design review.
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machine learning data mining scientist processing jobs in Arlington, VA
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