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Nsa Data Science Jobs (NOW HIRING)

Position: Digital Network Exploitation Analyst / Data Scientist (DNEA/DS) Location: Hawaii ... NSA, USCYBERCOM, INDOPACOM, or Intelligence Community missions Experience identifying patterns ...

$93K - $128K/yr

Strong expertise across 4G and 5G RAN performance, including NSA/SA, VoLTE, VoNR, mobility ... Familiarity with data science and machine learning techniques - especially anomaly detection and ...

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Nsa Data Science information

What are typical daily responsibilities for an NSA Data Science professional?

NSA Data Science professionals spend their days analyzing complex datasets, developing machine learning models, and generating actionable insights to support national security objectives. They frequently collaborate with interdisciplinary teams, including analysts, engineers, and cybersecurity experts, to design and implement data-driven solutions. Responsibilities also include data wrangling, researching emerging analytical techniques, and maintaining best practices for data security. This role often involves tackling unique, high-impact problems in a fast-paced, mission-driven environment.

Does the NSA hire data scientists?

Yes, the NSA hires data scientists to analyze large datasets, develop algorithms, and support national security efforts. Candidates typically need strong skills in statistics, programming, and data analysis, often requiring security clearances and relevant educational backgrounds.

What is an NSA Data Science job?

An NSA Data Science job involves analyzing large datasets to extract insights that support national security efforts. Data scientists at the NSA use machine learning, statistical modeling, and artificial intelligence to detect patterns in signals intelligence, cybersecurity threats, and other intelligence sources. They collaborate with analysts and engineers to develop algorithms and tools for processing complex data. Strong skills in programming, data visualization, and problem-solving are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Nsa Data Science position, and why are they important?

To thrive as an NSA Data Science professional, a strong background in statistics, mathematics, computer science, and data analysis, typically supported by a higher degree in a relevant field, is essential. Proficiency with programming languages such as Python or R, experience in machine learning frameworks, and familiarity with big data technologies and security-clearance requirements are highly valued. Exceptional problem-solving abilities, attention to detail, and robust communication skills are vital soft skills in this role. These competencies ensure effective data-driven solutions to complex national security challenges while maintaining the highest standards of confidentiality and teamwork.

More about Nsa Data Science jobs
What cities are hiring for Nsa Data Science jobs? Cities with the most Nsa Data Science job openings:
What are the most commonly searched types of Nsa Data Science jobs? The most popular types of Nsa Data Science jobs are:
What states have the most Nsa Data Science jobs? States with the most job openings for Nsa Data Science jobs include:
What job categories do people searching Nsa Data Science jobs look for? The top searched job categories for Nsa Data Science jobs are:
Infographic showing various Nsa Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Assistant, Associate, or Full Professor of Computer Science

Assistant, Associate, or Full Professor of Computer Science

LeMoyne-Owen College

Memphis, TN โ€ข On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 11 days ago


Job description

Description
Position Title: Assistant, Associate, or Full Professor of Computer Science
Reports To: Chair, Division of Computer Science
Department: Division of Computer Science
Classification: Full-Time, Tenure-Track, 9-Month Faculty Appointment
POSITION OVERVIEW
Founded in 1862, LeMoyne-Owen College is a private, historically black, liberal arts institution that helps students discover and utilize their full range of capacity in their career and social life. LeMoyne-Owen College is the only Historical Black College and University (HBCU) in the city of Memphis.
The Division of Computer Science (DCS) is the newest and most rapidly growing division (formerly housed in the Division of Natural and Mathematical Sciences) at LOC. Among the earliest computing programs in Tennessee, our Bachelor of Science degree in Computer Science (BSCS) was recently accredited by ABET. DCS offers three bachelor's degrees: BS in Computer Science, BS in Cybersecurity, and BS in Information Technology. LOC was designated as a Center of Academic Excellence in Cyber Defense (CAE-CD) in 2019, by the National Security Agency (NSA) and the Department of Homeland Security (DHS).
The Division of Computer Science (DCS) at LeMoyne-Owen College (LOC) invites applications for a full-time, tenure track, open rank faculty position. The successful candidate will be responsible for teaching a standard load during the Fall and Spring semesters, conducting scholarly activities, advising students, and engaging in services at the division and institution.
DUTIES AND RESPONSIBILITIES
  • Teach standard load per semester in undergraduate computer science courses, which may include programming, data structures, algorithms, databases, cybersecurity, artificial intelligence, operating systems, networking, and/or other areas of specialization.
  • Develop and revise curriculum, syllabi, and other instructional materials in accordance with accreditation and industry standards.
  • Maintain high-impact, student-centered teaching practices, incorporating current technologies and inclusive pedagogy.
  • Advise and mentor DCS students, including computer science, cybersecurity, and information technology majors, in both academic progress and career preparation.
  • Engage in assessment of student learning outcomes and support the maintenance and securing of accreditations, e.g., ABET, NSA CAE designation.
  • Engage in scholarly activities, including research, publications, presentations, and external funding solicitation, patent, commercial development.
  • Provide service to the division, college, and community, including participation in committees, recruitment events, and student organizations.
  • Maintain regular office hours and be available to students outside of class as needed.
  • Remain current in the discipline through professional development and industry engagement.

MINIMUM QUALIFICATIONS
    • Ph. D. in Computer Science, Data Science, Cybersecurity, Information Technology, or closely related field.
    • Expertise in at least three areas in following list. The coverage of more areas is preferred.
    • Artificial intelligence
    • Machine learning
    • Robotics
    • Autonomous vehicles and/or UAV
    • Data analytics and visualization
    • Big data
    • Parallel and high-performance computing
    • Cloud computing
    • Distributed and mobile computing
    • Internet of Things
    • Operating systems
    • Cyber-physical systems and/or embedded system
    • Computation theory
    • Demonstrated excellence in teaching at the college or university level.
    • Demonstrated active research, proven by publication, external funding, and presentations.

Preferred Qualifications:
  • Industry experience in computing or other IT fields.
  • Experience in teaching non-traditional and underrepresented student populations

WORKING CONDITIONS/PHYSICIAL DEMANDS
While performing the duties of this job, the employee is regularly required to sit, stand, use hands to handle, or feel to talk and to hear. The employee, frequently, is required to walk, reach with hands and arms to stoop, kneel, or crouch. The employee must occasionally lift and/or move up to 20 lbs. Specific vision abilities required by this job include close vision.
Qualified applicants should submit the following information in one (1) pdf document:
  • Cover Letter
  • Resume
  • Unofficial transcript of highest educational level completed
  • 3 references including contact information

Incomplete applications will not be considered. The final candidate who is extended an offer must successfully complete reference and background checks.
LeMoyne-Owen College offers an attractive benefits package, including health, vision, and dental benefits. The College pays for Life Insurance, STD/LTD, and paid time off.
LeMoyne-Owen College is an AA/EEO employer and does not discriminate against students, employees, or applicants for admission or employment on the basis of race, color, religion, creed, national origin, sex, sexual orientation, gender identity/expression, disability, age, status as a protected veteran, genetic information, or any other legally protected class with respect to all employment, programs and activities.
No Solicitations or Phone Calls Please