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Black Eagle Defense

Data Scientist III with Security Clearance

Black Eagle Defense, Fort George Meade, Maryland, United States

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Data Scientist III with Security Clearance Join to apply for the

Data Scientist III with Security Clearance

role at

Black Eagle Defense .

Salary range: $128,000 - $185,000 per year.

As a successful candidate for the Data Scientist III role, you will devise strategies for extracting meaning and value from large datasets. You will make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application‑specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, you will develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings. You will translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others in withdrawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non‑technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSA/CSS collection, processing, storage, and analytic capabilities and limitations.

Required Skills: Employ at least two of the following skill areas:

Foundations: Mathematical, Computational, Statistical.

Data Processing: Data management and curation, data description and visualization, workflow and reproducibility.

Modeling, Inference, and Prediction: Data modeling and assessment, domain‑specific considerations.

Qualifications: A Bachelor’s Degree with 10 years of relevant experience or an Associate’s degree with 12 years of relevant experience may be considered for individuals with in‑depth experience that is clearly related to the position. The Bachelor’s Degree must be in Mathematics, Applied Mathematics, Statistics, Machine Learning, Data Science, Operations Research, or Computer Science, or a related field (Computer Information Systems, Engineering, etc.), or in a physical/hard science (physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component that included a concentration of coursework (5 or more courses) in advanced mathematics (typically 300 level or higher) and/or computer science. A Certificate in Data Science from an accredited college/university may also be considered. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high‑level language such as Python), statistical analysis, data management, data mining, data modeling, artificial intelligence, and/or software engineering. Experience in more than three of these areas is strongly preferred.

Additional Requirements:

Accurately and automatically tokenize language data with spoken or written origins.

Develop automated solutions for the annotation of language data with parts‑of‑speech information, and improve existing models by scoring performance against human‑generated annotations for speech and text.

Demonstrated natural language processing experience.

Seniority level: Mid‑Senior level.

Employment type: Full‑time.

Job function: Engineering and Information Technology; Industries: IT Services and IT Consulting.

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