Intelligencecareers
Applied Research Mathematician / Mathematical Statistician - Entry to Experience
Intelligencecareers, Baltimore, Maryland, United States,
NSA is actively searching for mathematicians and mathematical statisticians like you to join a vibrant community of mathematicians, statisticians, physicists, computer scientists, data scientists, and other intelligence professionals.The qualifications listed are the minimum acceptable to be considered for the position.Minimum Qualifications
Degree must be in Mathematics, Physics, Engineering, Data Science, Computer Science, Statistics, or a related STEM field. Degree must include at least 24 semester credit hours (or 36 credit hours from universities on a quarter system) in advanced mathematics courses.Entry/Developmental
Entry is with a Bachelor's degree and no experience.Full Performance
Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience, or a Doctoral degree and no experience. Relevant experience must be in one or more of the following: the design, development, use, and evaluation of mathematics models, methods, or techniques (for example, algorithm development) to study issues and solve problems. Experience may also include network engineering, computer science, physics, software engineering, or electrical engineering.
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Degree must be in Mathematics, Physics, Engineering, Data Science, Computer Science, Statistics, or a related STEM field. Degree must include at least 24 semester credit hours (or 36 credit hours from universities on a quarter system) in advanced mathematics courses.Entry/Developmental
Entry is with a Bachelor's degree and no experience.Full Performance
Entry is with a Bachelor's degree plus 3 years of relevant experience or a Master's degree plus 1 year of relevant experience, or a Doctoral degree and no experience. Relevant experience must be in one or more of the following: the design, development, use, and evaluation of mathematics models, methods, or techniques (for example, algorithm development) to study issues and solve problems. Experience may also include network engineering, computer science, physics, software engineering, or electrical engineering.
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