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Relevant experience must involve designing/implementing machine learning, data science, advanced analytical algorithms, programming (proficiency in at least one high-level language, for example, Python), statistical analysis (for instance, variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (such as data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one field is strongly preferred.
Capabilities
Foundational skills in Mathematics, Computation, and Statistics
Data Processing (data management and curation, data description and visualization, workflow and reproducibility)
Modeling, Inference, and Prediction (data modeling and assessment, domain-specific considerations)
Design strategies to extract meaning and value from large datasets
Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific methods, develop and implement qualitative and quantitative techniques for characterizing, exploring, and assessing large datasets that considers the unique features and limitations inherent to Agency data holdings
Translate practical mission requirements and analytic questions related to large datasets into technical requirements and help others draw appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences
Make informed recommendations on competing technical solutions by staying updated with the dynamically changing Agency collection, processing, storage, and analytic capabilities and limitations.
Required Qualifications
TS/SCI with Agency Appropriate Polygraph
A Bachelor’s degree and 3 years of relevant experience
An Associate’s degree plus 5 years of relevant experience may be considered for individuals with substantial related experience
Must have a degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A degree in associated field may be considered if it includes substantial coursework (typically 5 or more courses) in advanced mathematics (as in linear algebra, probability and statistics, machine learning) and/or computer science (such as algorithms, programming, data structures, data mining, artificial intelligence)
Basic college-level Algebra or other elementary level math courses are not considered
A wider range of degrees may be acceptable if accompanied by a Certificate in Data Science from an accredited institution.
Required Technical Skills
Experience in a data science-focused team
Experience with JCWA (Joint Cyber Warfare Architecture)
Familiarity with Big Data Platform (BDP)
Proficiency in AI/ML
Experience with cybercom discovery house supporting Violent Extremist Organizations (VEOs)
Focused on 2+3 targets
The client requires an analyst capable to conduct network diagramming
Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.
