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The NSA Central Security Service Data Scientist Development Program (DSDP) is a data-focused career path designed for senior-level data scientists working on complex, high-priority challenges.
In this onsite role at Fort Meade, you will apply data science, machine learning, and related capabilities to build and validate solutions while progressing through a structured development track for candidates selected for the three-year rotational program.
The NSA Central Security Service Data Scientist Development Program (DSDP) is a data-focused career path designed for senior-level data scientists working on complex, high-priority challenges. In this onsite role at Fort Meade, you will apply data science, machine learning, and related capabilities to build and validate solutions while progressing through a structured development track for candidates selected for the three-year rotational program.
Data science at NSA supports mission work by applying mathematics, statistics, computer science, and application-specific knowledge to gather, transform, and communicate defensible conclusions from data. The work spans traditional data science as well as areas including AI engineering, data engineering, ML Ops engineering, and human perception and cognition engineering.
Selected candidates may be enrolled in a three-year rotational Data Science Development Program (DSDP) intended to strengthen basic skills. The program aligns with ongoing expectations to broaden and deepen expertise across the evolving data-science landscape through collaboration with NSA experts in data science and related technical domains.
Your evaluation will be based on how well you meet the qualifications listed for the position. Programming, formal or informal leadership, and relevant experience aligned to data science work are important factors.
Minimum experience: 2 years.
Relevant experience must include one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, super intelligence development, computational science, software engineering, technical writing, data visualization, or data engineering. For Full Performance, Senior, and Expert tiers, programming must be included, and leadership is required for Senior and Expert.
Degrees in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Data Science, Operations Research, Quantitative/Computational Finance, Econometrics/Quantitative Economics, Computer Science, or Computer Engineering qualify without additional coursework requirements. For other listed degree fields, qualification depends on either completing a Data Science certificate from an accredited college/university or meeting advanced mathematics and advanced computer science coursework thresholds, including at least one course from advanced mathematics and at least one from advanced computer science. Education must be accredited by an accrediting institution recognized by the U.S. Department of Education.