Data Scientist - Fort Meade, United States - National Security Agency

Mark Lane

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Mark Lane

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Description
Job Summary


Qualifications:


Applicants will be asked to complete the Data Science Examination (DSE) evaluating their knowledge of statistics, mathematics, and computer science topics that pertain to data science work.

Passing this examination at a local testing site is a requirement in order to be considered for selection into a data scientist position.

Upon passing the examination, applicants will be evaluated for the minimum qualifications outlined in this ad. Transcripts will be requested prior to being invited to interview with Agency data science professionals. The qualifications listed below are the minimum acceptable to be considered for the position. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g.

physics, chemistry, biology, astronomy), or other science disciplines (i.e., behavioral, social, library, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 200 level or higher; such as calculus, differential equations, discrete mathematics, linear algebra, and calculus based statistics) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence).

College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.


Note:

Degrees in related fields will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

Relevant experience must be in two or more of the following:

designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence, computational science, software engineering, or data engineering.

SENIOR Entry is with a Bachelor's degree plus 6 years of relevant experience or a Master's degree plus 4 years of relevant experience or a Doctoral degree plus 2 years of relevant experience.

An Associate's degree plus 8 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.

EXPERT Entry is with a Bachelor's degree plus 9 years of relevant experience or a Master's degree plus 7 years of relevant experience or a Doctoral degree plus 5 years of relevant experience.

An Associate's degree plus 11 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.

Competencies

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