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National Security Agency · 4 days ago

Data Scientist

Fort Meade, MD

Full-time

Onsite

Senior Level, Lead/Staff

$133K/yr - $197K/yr

4+ years exp

The National Security Agency (NSA) is seeking Data Scientists to tackle complex data challenges using mathematics, statistics, and computer science. The role involves collaborating with experts to develop solutions leveraging big data and machine learning to address critical foreign intelligence and cybersecurity issues.

National Security

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Exploring data analysis and model-fitting to reveal data features of interest

Using the machine-learned predictive modeling

Constructing usable data sets from multiple sources to meet customer needs

Identifying and analyzing anomalous data (including metadata)

Developing conceptual design and models to address mission requirements

Developing qualitative and quantitative methods for characterizing datasets in various states

Performing analytic modeling, scripting, and/or programming

Working collaboratively and iteratively throughout the data-science lifecycle

Designing and developing analytics and techniques for analysis

Analyzing data using mathematical and statistical methods

Evaluating, documenting, and communicating research processes, analyses, and results to customers, peers, and leadership

Creating interpretable visualizations

Qualification

Machine LearningStatistical AnalysisData EngineeringProgrammingData VisualizationArtificial IntelligenceData MiningTechnical WritingAnalytical SkillsLeadershipProblem SolvingCommunication SkillsCritical ThinkingCollaboration

Required

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

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

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

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 or a Data Science certificate

Degrees in Engineering, Physical Sciences, Mathematical Biology/Bioinformatics, Life Sciences, Environmental Science, Data Analytics, or Information Science/Systems/Technology, must include either a Data Science certificate from an accredited college/university OR 5 or more courses in advanced mathematics and/or advanced computer science

Other degrees must be accompanied by a Data Science certificate from an accredited college/university, and must include a total of 5 or more courses in advanced mathematics AND advanced computer science

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, software engineering, 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

Knowledge, skills, and relevant experience in programming, formal or informal leadership, and one or more of the following is required: Designing and implementing machine learning, Data mining, Statistical analysis, Statistical consulting, Artificial Intelligence development, Computational science, Software engineering, Technical writing, Data visualization, Data engineering