U.S. Department of Defense

Data Scientist Development Program (DSDP) - Entry to Mid Level (Maryland)


Pay$85052.00 - $149026.00 / year
LocationFort Meade/Maryland
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: 826841800

      Newly hired Data Scientists may be enrolled in the three-year Data Science Development Program, in which they will both broaden and specialize their data science skills by taking courses and touring with a variety of mission offices (each for several months). You will have the opportunity to collaborate with NSA's experts in data science, related technical domains, and specialized subject areas while tackling NSA's highest priority mission challenges.


      Duties



      Requirements


      • 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.

      Qualifications


      The qualifications listed are the minimum acceptable to be considered for the position. Applicants who meet minimum qualifications may 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 is a requirement in order to be considered for selection into a data scientist 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.

      ENTRY/DEVELOPMENTAL Entry is with a Bachelor's degree and no experience. An Associate's degree plus 2 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position. Relevant experience must be in one 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.

      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. 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. 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.


      Competencies

      The ideal candidate has a desire for continual learning along with excellent analytical, problem-solving, communication (oral and written), and interpersonal skills who is: - Accountable - Proactive - Detail oriented - Able to solve complex problems
      - Proficient with critical thinking and reasoning to make analytic determinations
      - Effective at working in a collaborative team environment
      - Able to bridge the gap with both technical and non-technical audiences Knowledge, skills, and relevant experience in one or more of the following is required:
      - Designing and implementing machine learning
      - Data mining
      - Advanced analytical algorithms
      - Programming
      - Data science
      - Advanced statistical analysis
      - Artificial Intelligence
      - Computational science
      - Software engineering
      - Data engineering

  • About the company

      The United States Department of Defense is an executive branch department of the federal government charged with coordinating and supervising all agencies and functions of the government directly related to national security and the United States Armed Forces. The DOD is the largest employer in the world, with over 1.3 million active-duty service members as of 2020. More employees include over 826,000 National Guard and reservists from the armed forces, and over 732,000 civilians bringing the total to over 2.8 million employees. Headquartered at the Pentagon in Arlington, Virginia, just outside Washington, D.C., the DoD's stated mission is to provide "the military forces needed to deter war and ensure our nation's security".

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