This internship connects transitioning service members with industry partners, requiring a minimum of six years experience in cyber analysis and a TS/SCI clearance.

As a Training Manager/Curriculum Developer, design and deliver training programs in Intelligence, Cyber, Data Science, and AI, collaborating with SMEs to create impactful curriculum.

The Cyber Product Manager will lead strategy for CYBERSPAN®, connecting customer needs to product capabilities, driving sales, and managing partnerships.

The Data Scientist Level 2 role involves data modeling, analysis, and communication of insights derived from large datasets. Candidates must possess relevant experience and an appropriate degree.

Design and develop solutions for cryptologic computer science problems, applying advanced computer science skills and relevant experience in various domains.

We are seeking Cyber Analysts for our Cyber Talent Community, requiring security clearance and 3+ years of experience in various cyber domains.

The Data Scientist Level 2 role involves extracting value from large datasets, implementing data modeling, and communicating technical findings to non-technical audiences while using a combination of statistical and computational methods.

Develop and maintain frontends using Vue.js, collaborating with teams and customers. Provide technical guidance, resolve issues, and support production applications.

The Systems Engineer Technical Advisor Level 1 is responsible for developing requirements and assessing technical risks on projects while ensuring effective communication with stakeholders and supporting development activities.

The role requires analyzing networks for vulnerabilities and designing secure systems, necessitating extensive experience in computer systems and cybersecurity.

The internship offers military service members civilian work experience in data science through data analysis and related skillsets over 90-180 days.

The Data Scientist Level 2 extracts value from large datasets, communicates findings, implements analytical methods, and requires a strong mathematical and programming background.

The Data Scientist Level 3 role focuses on extracting value from large datasets through statistical analysis, programming, and effective communication of insights. Requires extensive experience in data science, modeling, and advanced analytical methods.

We are creating a Data Science Talent Community to connect with Data Scientists of all levels. Applicants will be considered for various openings based on their qualifications and experience in data science and machine learning skills.

The role involves developing analytics using Java MapReduce and Python, working collaboratively with customers, and providing software development across multiple phases.

The Data Scientist Level 3 role involves analyzing large datasets, developing models, and communicating findings to non-technical audiences, requiring significant experience in data science and related fields.

Develop, maintain, and enhance complex software systems while analyzing user requirements, debugging software, and leading projects. Collaborate with teams to improve software development processes and documentation.

The Digital Network Exploitation Analyst Level 3 requires extensive experience in computer systems design, security, and engineering with mandatory TS/SCI clearance.

The Systems Integrator Level 1 will support technical projects by coordinating requirements, addressing issues, and preparing project plans while utilizing critical thinking skills.

Monitor and troubleshoot hardware, software, and network issues. Provide technical expertise for global network performance and administration.