Computer Scientist

United States·Washingtonmid

OtherScientist

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Quick Summary

Key Responsibilities

Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression,

Requirements Summary

Bachelor's degree preferred,

Technical Tools

OtherScientist

Responsibilities

~1 min read

→Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/or scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
→Develops and utilizes machine learning and data mining and prediction algorithms based on open-source capabilities.
→Integrates or codes algorithms to support Government intelligence search and discovery missions.
→Makes best-practice recommendations on managing data within hardware, software, storage and bandwidth constraints.
→Employs data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development. Employs exploratory analysis and rapid iteration techniques of large volumes of data to quickly derive intelligence.
→Prepares products to describe and document findings and activities.

Requirements

~1 min read

Bachelor's degree preferred, with four (4) years of relevant experience
Current active TS/SCI clearance with the ability to obtain and maintain a CI polygraph
Proficiency in multiple programming languages (Python, Java, C++, or similar).
Experience with modern software development methodologies (Agile, DevOps, CI/CD).
Understanding of cybersecurity principles and secure coding practices.
Hands-on experience with relational and/or NoSQL database systems.
Familiarity with cloud computing architectures and containerized environments.
Strong analytical and problem-solving skills.
Experience with version control systems such as Git.
Ability to clearly communicate technical concepts to non-technical stakeholders.