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Data Scientist - Mid-Level - NSA

National Security Agency


Location:
Fort Meade, Maryland
Date:
07/06/2017
2017-07-062017-09-04
Categories:
  • Data Analytics
  • Data Engineer
  • Data Scientist
  • Business Intelligence
National Security Agency
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Job Details

Responsibilities

This advertisement is for a job in NSA's discovery organization, which is responsible for leading NSA efforts to create innovative methods to identify the technology, networks and tradecraft of targets and for leveraging the spectrum of sources, authorities and tradecraft to enable information assurance, cyber, and signals intelligence operations.

Employ some combination (2 or more) of analysis, computer science, mathematics, and software engineering skills to devise strategies for extracting meaning and value from large datasets. Through analytic modeling, scripting, and/or programming, develop and implement qualitative and quantitative methods for characterizing large datasets in various states of organization, cleanliness and structure that account for the unique features and limitations inherent in NSA/CSS data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations.

 

Skills

Develop conceptual designs or models to address requirements.

Analyze problems to determine technical solutions.

Decide what procedures will be required to solve technical problems.

Identify new and existing products, technologies, and/or architectures to solve design, development, and operational problems.

Identify new applications of known techniques.

Analyze data using mathematical/statistical methods.

Apply mathematical or computational methods and lines of reasoning.

Document research processes, analyses and/or the results.

Conduct analysis of metadata.

Develop tools and techniques for analysis.

Exploit, fuse and use data and data sources.

Identify and analyze anomalous data (including metadata).

Analyze data using appropriate tool set.

Evaluate research for practical application.

Design and develop analytics.

Requirements

Qualifications

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. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to 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, or other science disciplines (i.e., physical, behavioral, social, 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) 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: A broader range of degrees 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, or software engineering.

 

Pay, Benefits, & Work Schedule

Salary Range: $79,334 - $105,663

  • The qualifications listed are the minimum acceptable to be considered for the position. Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.

     

How To Apply - External

To apply for this position, please click the 'Apply Now' button located at the top or bottom of this page. After completing the application and clicking the 'Submit Final' button, you will receive a confirmation email. Emails regarding your application status will be sent periodically. Please ensure your spam filters are configured to accept emails from noreply@nsa.gov.

  • PLEASE NOTE: 

U.S. Citizenship is required for all applicants. Reasonable accommodations provided to applicants with disabilities during the application and hiring process where appropriate. NSA is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph.

This position is a Defense Civilian Intelligence Personnel System (DCIPS) position in the Excepted Service under 10 U.S.C. 1601. DoD Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you may be asked to submit documents verifying your eligibility.

 

DCIPS Disclaimer

The National Security Agency (NSA) is part of the DoD Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority.