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USAJOBS · 1 day ago

Data Scientist - Experienced to Expert Level (Maryland)

Fort Meade, Maryland, USA

Full-time

Onsite

Senior Level, Lead/Staff

$133K/yr - $197K/yr

6+ years exp

The National Security Agency (NSA) is seeking Data Scientists who will be aligned with mission needs to tackle challenging real-world problems using data science methodologies. The role requires collaboration with NSA experts and continuous development of expertise in data science.

ConsultingGovernmentHuman ResourcesInformation TechnologyInternetStaffing Agency

No H1B

Security Clearance Required

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 VisualizationProgrammingData EngineeringArtificial IntelligenceComputational ScienceData MiningStatistical ConsultingTechnical WritingLeadership

Required

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 (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics) and/or advanced computer science (for example, algorithms, programming, data structures, data mining, artificial intelligence)

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. At least one course must be from advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics). At least one course must be from advanced computer science (for example, algorithms, programming, data structures, computer architecture, data mining, artificial intelligence)

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

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