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To include distributed storage systems, distributed indexing techniques, information retrieval, distributed processing frameworks, stream-processing frameworks, complex event processors, distributed message systems, distributed caching systems, predictive analytics, machine learning, statistical analysis, and data mining.
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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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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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We are looking for a skilled and experienced Data Scientist who excels in applying classical machine learning, deep learning and statistical modeling to solve data science problems.
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Skills & ExperienceApache Spark, Big Data, Big Data Solutions, Databricks Platform, Data Mining, Machine Learning, PySpark, Python (Programming Language), Structured Query Language (SQL), UiPath, AWS, SDN & Analytics,HTML, XML, CSS, C.
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AI and Machine Learning (Deep Learning, Convolutional Neural Network, Deep Variant, Generative AI) knowledge and programming experience (i.e. TensorFlow) for training and inference would be a definite plus.
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As a Data Scientist, you will be at the forefront of designing, implementing, and maintaining data pipelines by interpreting and analyzing complex data sets, planning and executing machine learning (ML) projects, and leveraging methodologies such as data mining, natural language programming, and machine learning.
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NSA Research Scientists are actively expanding the boundaries of what can be accomplished with artificial intelligence, machine learning, human-machine teaming, software reverse engineering, data science, novel architectures, cyber security, high performance computing, and computational linguistics.
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Design and develop well architected web applications, 3-tier client-server systems, back-end processing, data pipelines, genomic pipelines and API's (i.e. REST API's) for predominantly on-premises, and Azure, AWS cloud environments with application security and data privacy including Authentication, Authorization and Access Control.
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Knowledge of Deep Learning and Machine Learning techniques, and experience in Machine Learning tools, techniques and programming (including LLM - Large Language Models) is a plus.
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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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Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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Collaborate with Data and Security Architect to design and implement data systems and secure applications including high performance computing systems for genomics processing with large volumes (TB/PB) of data.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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machine learning data mining network security jobs Title: network analyst
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