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Experience in advanced Python data science packages (pandas, networkx, scikit-learn, pyTorch or TensorFlow/Keras, matplotlib or plotly, etc.) IntelliGenesis LLC has supported Department of Defense and Intelligence Community customers since 2007 by providing next generation capabilities for: Offensive & Defensive Cyber Services, National Security Cyber Training, Data Science & Decision-Making Analytics, Intelligence Analysis, and Intelligence Solutions Engineering.
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Desired skills include proficiency in big data analysis techniques such as: educational data mining, random forest analyses, machine learning, predictive analysis and/or research design techniques such as: propensity score analysis, regression discontinuity, or causal analysis.
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Collaboration is at the core of our business success and the Senior Manager, Analytics, will need to create a tightknit and dynamic relationship with our clients and the Media and Account teams, in addition to building an Analytics team across Data Science, Engineering, MarTech, and Data Visualization/Reporting.
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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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We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts.
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Strong expertise in Data Science including proficiency in data analysis, machine learning, statistical modeling, and programming languages, interest in AI and other tools commonly used in Data Science and Analytics (e.g., Python, R, SQL, Jupyter, AWS, GCP, Nautilus Clusters, etc.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Good understanding of application and data security, AI/Gen AI, Machine Learning, or data science. Julia, MATLAB, Scala, LISP, Prolog, and JavaScript for various AI/ML applications, including data analysis, high-performance computing, enterprise-level applications, and web-based ML.
$270,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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To provide Human Resouce support to the Army Field Support Center to include programs for Soldiers as well as Civilians including the GREAT SKILL Program (GSP), the Army Attaché Management Division (AAMD), and the Military Civilian Excepted Career Program (MICECP) and potentially more.
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Scripting (bash, Python, Powershell or similar) and/or automation (Ansible, Puppet, Chef, etc) experience preferred. Experience with Linux, Windows, and Mac operating systems; current network equipment and technologies, modern datacenter server technology, system performance-monitoring and logging tools, directory services, KVM and VMware virtualization, HTTP services, containerization technologies.
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Keywords: data mining, statistical analysis, Gaussian, Markov Models, Hierarchical Clustering, K-Means, Linear Regression, Logistic Regression, Monte Carlo Simulation, Neural Networks, deep learning, AI, algorithms, general linear model, GLM, random forest, gradient boosted models, neural networks, optimization, data visualization, Google Cloud Platform, GCP, GenAI, Generative AI, large language models.
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Experience with data science, machine learning, and/or artificial intelligence. Experience with cybersecurity data from SIEM, Endpoint, Network, Threat Intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Prototype future capabilities with the CMO data science team as they generate new ideas to meet their customers' needs. Machine learning experience, or experience working with data scientists and deploying ML models.
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