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Using advanced cyber techniques, our team of technologist and analysts employ capabilities spanning traditional computing environments to Internet of Things (IoT), including offensive and defensive cyber operations and analysis, signals intelligence (SIGINT) discovery, and data science.
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Description SAIC's National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, SecDevOps, cloud network operations, and secure communications.
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Degree must be in Network Engineering, Systems Engineering, Information Technology, Computer Science, Mathematics, Data Science, 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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Your command over various programming languages and adeptness in different development environments are enriched by your significant engagement in intricate areas such as distributed systems, data science, and High-Performance Computing (HPC.
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UI/UX, middleware/API, back-end, DevOps, CNO, or data science experience. Experience with analyzing cyber security-related data sets (network traffic, OS events). Develop cutting-edge solutions for data visualizations, task automation, and.
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Must be able to develop with Python Juypter Notebook using data science best practices. + Provide software engineering and data science support. Related fields (e.g., Engineering, Mathematics) may be considered relevant if the programs contain, at minimum, a concentration of courses in the following foundational CS areas: algorithms; computer architecture (not network architecture); programming methodologies and languages; data structures; logic and computation; and advanced mathematics (for example, calculus, discrete mathematics.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Data science/Machine Learning architectures. Developing new ways to represent the data using data science methods and automating analytic processes using machine language frameworks.
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language ( e.g. Python), statistical analysis ( e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management ( e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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The Software Engineer develops, maintains , and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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Bachelor’s degree in Math, Science, Engineering, Statistics, Engineering Management or related discipline from an accredited college or university is required. We work closely with agencies and industry to overcome technical and cultural hurdles to innovation, empowering them with the latest end-to-end cloud infrastructure, big data and cyber capabilities.
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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python.
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Use encompassing skill sets within the computer science discipline to design, develop, deliver and operate solutions to hard cryptologic computer science problems within a scientific framework; solutions may arise in the forms of forensics and attack attribution, protection of critical networks, active systems warnings and indicator, active penetration into target systems, knowledge discovery of passive and active systems, or other cryptologic computer science mission support.
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ASG provides a broad range of healthcare technology-related services such as software development and integration, mobile apps, AI/ML, Analytics, Data Science, Bigdata, DevSecOps, Digital transformation, cloud, and cybersecurity.
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Working knowledge of Digital Multiplexers, Analog and Digital Signals,Voice/Vocoders, TDMs, Spread Spectrum, SONET/SDH/OTN, ETHERNET, PCM, VSAT, OSIModel and Computer to Computer (C2C) structure, protocols, and data such as:MPLS, Psuedowire, TDMop, ATM, Frame Relay, Cisco, Nortel, X.25, PPP, IP, TCP.UDP, VOIP, VOFR and Fragmentation.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Some examples include: computer coding; modeling and simulation; data gathering; instrumentation; computer, architectural, electrical, mechanical, structural, systems and facilities engineering; computer, microelectronics, radio frequency design; and many more.
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data science jobs in Castine, ME
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