Product Analyst Intern
Company | Ntrepid Corporation |
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Location | Reston, VA, USA |
Salary | $Not Provided – $Not Provided |
Type | Internship |
Degrees | Bachelor’s, Master’s |
Experience Level | Internship |
Requirements
- Graduate or senior undergraduate students with a background in computer science, international relations, political science, or a related field – such as cybersecurity, data science, media studies, or public policy—especially as it relates to national security, social media, and emerging technologies like AI and LLMs.
- Extremely strong research, writing, and critical thinking skills (a writing sample is required).
- Demonstrated interest in global affairs, digital media, and technology’s role in shaping the modern world.
- Prior internship or work experience demonstrating reliability, initiative, and the ability to manage tasks independently, quickly learn new topics, and contribute in team settings.
- Familiarity with current events, social media platforms, and mobile or web-based technologies.
Responsibilities
- Conduct independent, in-depth research and technical analysis on global cyber trends, social media activity, and emerging technologies, build compelling case studies leveraging AI and LLMs in online environments.
- Apply your computer science knowledge to support innovative R&D projects and data-driven analysis.
- Analyze online discourse and behavior across social media platforms using custom tools and AI models.
- Create polished, insightful written products and briefings for internal teams and clients.
- Collaborate with a small, focused team on research design, content development, and analytic outputs.
- Contribute to business development through market research and capability presentations.
- Stay up-to-date with global events, digital trends, and security challenges, with a focus on how AI and large language models (LLMs) shape social media and online engagement.
Preferred Qualifications
- Proficiency in a foreign language (written and spoken), especially Arabic, Chinese, Russian, Farsi, Korean, Dari, and Pashto.
- Experience or coursework related to AI, machine learning, or data analysis is a strong plus.