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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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There are a variety of Data Science opportunities across the Department, including supporting several specialized programs at the DHS Office of Strategy, Policy, and Plans (PLCY), the Cybersecurity and Infrastructure Security Agency (CISA) , DHS Office of the Chief Information Officer (OCIO) , and the Federal Emergency Management Agency (FEMA.
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Collaborate with scientific and business and information technology leadership to influence the Data strategy and direction. Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark, Snowflake.
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The Information Security Analyst team operates as part of Infrastructure Risk Management (IRM), a department within Global Technology and Operations that is responsible for an enterprise-wide integrated infrastructure risk management program which employs a holistic approach to manage cybersecurity, information security, data privacy, physical security and business continuity led by the Chief Security Officer.
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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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Deep technical knowledge in areas such as security controls, cryptography, network security, cloud security, application security, Ethical Hacking, Social Engineering & Digital Forensic Science.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes). Reporting to the Director of Data Science, you will collaborate with cross-functional teams to develop and deploy machine learning models that solve complex problems and drive actionable insights.
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Certified, from an independent body, expertise in cybersecurity and cloud computing, e.g. CompTIA Security+ equivalent and Cloud+ certification. Demonstrable experience in producing artifacts supporting Department of DOD RMF processes, cybersecurity, cloud edge computing, virtualization, containerization, and service-oriented architecture (SOA.
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At least 2 years of experience in information technology (operations, software delivery, access management, microservices), information security (application security, network security, cyber security, data protection), information systems risk management, information systems auditing, or a combination.
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Cloud One is an existing global, interconnected, virtualized, hybrid, and IT infrastructure hosting mission systems, applications, services, and data serves the U.S. Air Force (USAF) and other Government Customers.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 2 years of experience in big data technologies.
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Evaluate the security configuration of computing platforms (e.g. cloud computing services on Amazon Web Services, Google Cloud, Microsoft Azure) and virtualization technologies to include VMware and Hyper-V. Examine and analyze network and data flow diagrams, information security policies/processes, vulnerability management processes, and risk assessments for information security compliance.
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Document classification and extraction: Data scientists can use natural language processing (NLP) techniques to classify and extract information from documents, such as news articles and social media posts.
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Business Computers Management Consulting Group, LLC (BCMC) is a small business specializing in Information Technology (IT), Cybersecurity, Information Assurance (IA), SOA, Big Data Management, Program Management, and more for Federal, State, and Local agencies.
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