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As an established Software Engineer, NSA has opportunity for you to contribute, learn, and grow in virtually any Computer Science focus area, including: Cybersecurity, High Performance Computing (HPC), Quantum Computing Research, Data Analytics, Machine Learning/Artificial Intelligence (ML/AI), Cryptology/Cryptography, and countless others.
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Advanced degree in a quantitative discipline such as Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Atmospheric Science, Electrical Engineering Industrial Engineering.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools.
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PhD degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics or a related field; coursework or academic research to include image identification or artificial intelligence.
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PLUS - Computer science, engineering, technology, security background is preferred. A Bachelor's degree in business, mathematics, technology, or relevant field of study such as computer science.
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Bachelors Degree Required with majors in Biomedical Science, Computer Science, Mathematics, Engineering or business-related field preferred. Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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BA/BS Degree in bachelor's degree in computer science, statistics, mathematics, business, economics, or a related field. As a Business Intelligence Lead, you will be responsible for gathering and analyzing data to provide valuable insights and support strategic decision-making within the organization.
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Familiarity or Experience with any of the following:o Data Modelingo SWF/DDEo CPL and UoP development, FACEo Cockpit Avionics, DO-178o Air Data Computer, AHRS Integration, Civil FMS.
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BA or BS in in Economics, Statistics, Mathematics, Business, Computer Science, Information Systems/Technology, GIS, or Business Intelligence Analytics. 5-7 years of experience working with program/project management involving monitoring and reporting of large data sets within construction, financial, regulatory, utility industryo Proficient in data cleaning and data mining – fixing structural errors, formatting, removing duplicates, extracting, and discovering patterns etc.
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Strong background in genomics, bioinformatics computer science, bacterial or viral genetics, and/or computational biology. Candidates must have completed a Bachelor's or Master's degree from an accredited US university, or international university of equivalent standard, in Bioinformatics, Computer Science (combined with experience or education in biology or bioinformatics), Computational Biology, Mathematics or a closely related area.
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Demonstrated strong knowledge of software development practices, computer science theory, and understanding of relevant technologies. Qualifications Bachelor's degree in computer science/engineering, or comparable work experience (minimum 3 years.
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5+ years of experience in a Data Engineer role, and has attained a bachelor's degree in computer science, statistics, informatics, information systems or another quantitative field.
$62,115 - $135,353Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Bachelor’s Degree in Computer Science, Statistics, Operations Research, Industrial Engineering, Mathematics, Econometrics or related field. Works closely with data management (DBAs), business analysts, and data science teams to capture and analyze relevant data.
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Bachelor's degree in Computer Science, Information Assurance, Information Security System Engineering, or a related discipline and nine (9) years or more experience; Masters and seven (7) years or more experience; PhD or JD and four (4) years or more experience.
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Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics. Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics.
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