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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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This announcement is being used to fill the Data Science Talent Pool. By applying to this job announcement, you are opting to be part of the DHS-CS Talent Pool for ongoing consideration for employment for relevant open jobs and will remain eligible for consideration for up to one year from the date of completion.
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There are a variety of Cybersecurity Data Science opportunities across the Department, including supporting several specialized programs at ), the. This position is focused on Data Science.
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Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
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Using various tools (e.g., SPSS, SAS, R, STATA) and methodologies for analyzing and interpreting complex data to discover new patterns and behaviors and provide usable information to decision makers and other users.
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Degree must be in Network Engineering, Systems Engineering, Information Technology or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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Additional experience may be in one or more of the following: computer or information systems design/development/installation, programming, information/cyber/network security, vulnerability analysis, penetration testing, computer forensics, information assurance or systems engineering.
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There are a variety of Cybersecurity Data Science opportunities across the Department, including supporting several specialized programs at 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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These facets include: Development, engineering and deployment of NSA mission systems Architecture, development, building, and maintenance of NSA's fault-tolerant world-wide information technology infrastructure High-performance computing system development for cryptanalytic mission applications Human resources, financial, and other business data warehouse storage and access Information system security, engineering, testing, and evaluation.
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Design and integrate consistent security solutions across CLS on-premise and cloud environments for domains like Vulnerability Management, Endpoint Security, Data Security, Network Security, Identity and Access management, etc.
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The goal of the program is to provide entry-level information technology specialists (that is, individuals with degrees in computer science, information systems, information technology, and related degrees and experience) the opportunity to learn the various facets of the mission.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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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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Seven (7) years of experience and a Doctorate Degree in Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensic, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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Team Management Manage & Coordinate team of Data Steward, Business Intelligence, Data Engineering, Data Governance & Data Science. The role oversees the Data Platform team with Data Steward, Business Intelligence, Data Engineering, Data Governance, and Data Science.
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network security data science jobs Title: tax accountant Company: Canonical
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