Data Scientist Development Program (DSDP) - Entry to Expert Level (MD)

US National Security Agency/Central Security Service; Fort Meade (MD); On-site; USD 90,000 - 150,000; Full time

Job summary

National Security Agency (NSA) is seeking senior-level data scientists to tackle challenging problems using big data, HPC, ML, and related technologies. Entry, Full Performance, Senior, and Expert levels are defined by education and experience, with required programming and data-focused capabilities.

Applicants will take the Data Science Examination (DSE) at a local site as part of the process and must submit unofficial transcripts at the stage of application.

Qualifications

• Designing/implementing machine learning, data mining, statistical analysis, statistical consulting, AI development, computational science, software engineering, data visualization, or data engineering.
• Leadership experience, formal or informal, is required for higher levels.
• Transcripts from each academic institution are required before interview.

Responsibilities

• Complete the Data Science Examination (DSE) as part of the selection process.
• Transcripts must be submitted as part of the online application.
• Applicants will be evaluated for minimum qualifications after passing the DSE.

Skills

Machine learning

Data mining

Statistical analysis

Statistical consulting

AI development

Computational science

Software engineering

Technical writing

Data visualization

Data engineering

Programming

Education

Associate's degree

Bachelor's degree

Master's degree

Doctoral degree

Tools

Programming

Job description

Data science is present in every aspect of NSA's mission to protect the nation. By joining our team, you will tackle challenging problems by leveraging big data, high-performance computing, machine learning and more. We are looking for senior-level data scientists who believe that answers to hard questions lie in the yet-to-be-told story of diverse, complicated data sets. You will develop solutions for complex data problems, taking full advantage of NSA's capabilities to tackle the priority.

ENTRY

Entry is with an Associate's degree plus 2 years of relevant experience, or a Bachelor's degree and no experience, or a Master's degree and no experience. Relevant experience must be in one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, software engineering, technical writing, data visualization, or data engineering.

FULL PERFORMANCE

Entry is with an Associate's degree plus 5 years of relevant experience, or 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. Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, technical writing, data visualization, or data engineering.

SENIOR

Entry is with an Associate's degree plus 8 years of relevant experience, or 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. Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, technical writing, data visualization, or data engineering. Experience must also include formal or informal leadership.

EXPERT

Entry is with an Associate's degree plus 11 years of relevant experience, or 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. Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, technical writing, data visualization, or data engineering. Experience must also include formal or informal leadership.

Applicants will be asked to complete the Data Science Examination (DSE) which evaluates 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 for each academic institution are required prior to being invited to interview with Agency data science professionals and should be submitted as part of the online application. Unofficial transcripts are fine at this stage.