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5+ years experience in one or multiple Big Data or cloud environments (e.g. AWS, Google AI/ML Platform., Snowflake, Databricks) Master's Degree in Statistics, Data Science, Applied Mathematics, Engineering, Operations Research, or similar fields.
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CNO Analyst/Programmer Level 1 requires a bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Physics or similar technical major, and 0-8 years of relevant experience on programs and contracts of similar scope, type, and complexity.
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They operate a submarine’s sonar, oceanographic equipment, and auxiliary sonar to conduct underwater surveillance, collect scientific data and track enemy targets. The Sailors in the Submarine Electronics Computer Field (SECF) work with a submarine’s sonar, weapons, communications and navigation systems.
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5+ years of experience with artificial intelligence (AI), data science, ML engineering, data research, software engineering, or data analytics. Master's degree in Computer Science or Statistics preferred; Doctorate degree in Computer Science or Statistics a plus.
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Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Cyber Research, Data Analytics, IoT, AWS and RedHat course offerings and hands-on training. We look at the big picture and encourage our engineers to get training and certifications in emerging technologies that will help shape our customer's mission.
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Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, IT or Engineering preferred. Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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The Enterprise OneStream RunTime team in the Enterprise Data and Machine Learning (EDML) organization supports the AWS hosted Data Ingestion and Data Processing applications enabling a centralized data movement platform across Capital One. You will get an opportunity and exposure to all possible data pattern combinations across Capital One and dive deep into the unique engineering challenges it brings around data integrity, security and scale.
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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C.
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Appropriate examples include: hydraulic modeling software (WaterCAD / SewerCAD / Autodesk SSA, computer aided drafting software (AutoCAD Civil 3D), GIS software (ArcGIS). Join a team that has the environment down to a science.
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Bachelor’s degree in Computer Science, Information Technology, or a related field. Prepare and implement Disaster Recovery Plan and Business Continuity Plan for D365 applications, configuring Azure to ensure minimal downtime and data loss, and conducting regular drills to ensure readiness.
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Pursuing a degree in Computer Science, Data Science, Engineering, or similar field. Experience, or desire to learn, data science techniques, including data tidying, scripting in R or Python, and visualization through Excel, Python, R, JavaScript, or Tableau Experience, Google Cloud or desire to learn, web programming, including React, Svelte.
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Basic Qualifications for Principal Level: Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering or other STEM (Science, Technology, Engineering or Mathematics) discipline with 5 years of software engineering experience (3 years for MS degree, 0 years for PhD) US Citizenship is required The ability to obtain and maintain a DoD Secret clearance is required.
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Requires a degree 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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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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Degree must be in Computer Science or a related field ( e.g. General Engineering, Computer Engineering, System Engineering, Mathematics, Computer Forensics, Cyber Security, Information Technology, Information Assurance, and Information Security.
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