Computer Scientist
Job in
Washington, District of Columbia, 20022, USA
Listed on 2026-09-21
Listing for:
Socket.dev
Full Time
position Listed on 2026-09-21
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Analyst
Job Description & How to Apply Below
Title: Computer Scientist
Location: Washington, DC
Clearance: TS/SCI with ability to obtain and maintain CI polygraph
Responsibilities:
- 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:
- 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, Dev Ops, CI/CD).
- Understanding of cybersecurity principles and secure coding practices.
- Hands-on experience with relational and/or No
SQL 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.
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