Tactical Networking & Data Science Intern

MITRE; Bedford (MA); On-site; USD 47,000 - 70,000; Full time

Job summary

MITRE in Bedford, MA is seeking a passionate student intern to contribute to enterprise networking research. You will participate in hands-on projects in labs, developing prototypes and performing data-driven analyses in a collaborative environment.

The internship focuses on SDN/NFV, machine learning, and scalable networks, offering exposure to Python, Docker Swarm, Kubernetes, and other modern tools while supporting mission-critical public-interest work.

Qualifications

• Must be enrolled full-time in an accredited degree-seeking program in computer science, cybersecurity, data science, or related field and remain enrolled the semester after the internship.
• Strong analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work independently and as part of a collaborative team.
• Demonstrated interest in serving the public.

Responsibilities

• Develop prototypes of intelligent network capabilities in MITRE advanced labs.
• Collaborate with research teams to develop innovative solutions using commercial and MITRE technologies.
• Conduct performance assessments of current and emerging technologies.
• Execute data science research from data wrangling to reporting and visualization.
• Scale solutions to work across large enterprises and large data sets.
• Analyze data from network sensor systems and integrate additional data sources for improved outcomes.
• Communicate technical approach and findings to internal and external stakeholders.

Skills

Strong analytical skills

Strong written & verbal communication

Independent & team player

Interest in public service

Education

Bachelor's or higher in CS/CI/Cybersecurity/Engineering/Data Science

Tools

Python

Docker Swarm

Kubernetes

Chef

Puppet

Scala

Java

R

Job description

MITRE in Bedford, MA is seeking a passionate student intern to contribute to enterprise networking research. You will participate in hands-on projects in labs, developing prototypes and performing data-driven analyses in a collaborative environment.

The internship focuses on SDN/NFV, machine learning, and scalable networks, offering exposure to Python, Docker Swarm, Kubernetes, and other modern tools while supporting mission-critical public-interest work.