Feb 22, 2026

Research mathematician / machine learning security

Job Description

Summary

NSA's Mathematics Research Group conducts world-class mathematical research with the objective of developing new and innovative techniques and technologies to support our Signals Intelligence and Cybersecurity missions, as well as the broader Intelligence Community (IC). We are actively seeking mathematicians to join our Mathematics Research Group. For more information, please visit: https://apply.intelligencecareers.gov/job-description/1254111


This job is open to

The public

U.S. Citizens, Nationals or those who owe allegiance to the U.S.

Federal employees - Excepted service

Current federal employees whose agencies have their own hiring rules, pay scales and evaluation criteria.

Veterans

Veterans of the U.S. Armed Forces or a spouse, widow, widower or parent of a veteran, who may be eligible for derived preference

Individuals with disabilities

Individuals who are eligible under Schedule A.

Duties

NSA's Mathematics Research Group conducts world-class mathematical research with the objective of developing new and innovative techniques and technologies to support our Signals Intelligence and Cybersecurity missions, as well as the broader Intelligence Community (IC). We are actively seeking mathematicians well-versed in the mathematical and statistical underpinnings of generative AI to join our Statistics and Machine Learning Research Office. The office focuses on fundamental mathematics research in the applications of machine learning and statistical analysis, as well as a wide range of other technical areas to include cryptography, machine learning security, generative AI, network defense, and graph algorithms.

Responsibilities may include:
  • Analyze problems and determine procedures required to solve technical problems;
  • Create computer algorithms, data models, and protocols;
  • Identify new applications of known techniques;
  • Analyze data, algorithms, and communication protocols using mathematical/statistical methods;
  • Develop and apply mathematical or computational methods and lines of reasoning;
  • Design, develop and debug software solutions;
  • Create and maintain documentation on research processes, analyses and/or the results;
  • Write logical and accurate technical reports to communicate ideas;
  • Effectively instruct, mentor, and support the professional development of colleagues in the areas of technical expertise.


Requirements

Conditions of employment

  • All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph.

Qualifications

The qualifications listed are the minimum acceptable to be considered for the position.

Degree must be in Mathematics, Physics, Engineering, Data Science, Computer Science, Statistics, or a related STEM field. Degree must include at least 24 semester credit hours (or 36 credit hours from universities on a quarter system) in advanced mathematics courses.

Relevant experience must be in one or more of the following: the design, development, use, and evaluation of mathematics models, methods, or techniques (for example, algorithm development) to study issues and solve problems. Experience may also include, network engineering, computer science, physics, software engineering, electrical engineering. Leadership experience can count for up to half the experience requirement.

SENIOR
Entry is with a Bachelor's degree plus 6 years of relevant experience, or a Master's degree plus 4 years of relevant experience, or a Doctoral degree plus 2 years of relevant experience.

EXPERT
Entry is with a Bachelor's degree plus 9 years of relevant experience, or a Master's degree plus 7 years of relevant experience, or a Doctoral degree plus 5 years of experience.

Education

The qualifications listed are the minimum acceptable to be considered for the position.

Degree must be in Mathematics, Physics, Engineering, Data Science, Computer Science, Statistics, or a related STEM field. Degree must include at least 24 semester credit hours (or 36 credit hours from universities on a quarter system) in advanced mathematics courses.

Additional information

Pay: Salary offers are based on candidates' education level and years of experience relevant to the position and also take into account information provided by the hiring manager/organization regarding the work level for the position.

Salary Range: $132,751 - $197,200 (Senior, Expert)
Salary range varies by location, work level, and relevant experience to the position.

Training will be provided based on the selectee's needs and experience.

Benefits: NSA offers a comprehensive benefits package.

Work Schedule: This is a full-time position, Monday - Friday, with basic 8hr/day work requirement between 6:00 a.m. and 6:00 p.m. (flexible).

DCIPS Trial Period:
If selected for this position, you will be required to serve a two-year DCIPS trial period, unless you are a veterans' preference-eligible employee, in which case you are required to serve a one-year trial period. This trial period runs concurrently with your commitment to the position, if applicable. Before finalizing your appointment at the conclusion of your trial period, NSA will determine whether your continued employment advances the public interest. This decision will be based on factors such as your performance and conduct; the Agency's needs and interests; whether your continued employment would advance the Agency's organizational goals; and whether your continued employment would advance the efficiency of the Federal service.

Upon completion of your trial period, your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest.

If you do not receive certification for continued employment, you should receive written notice prior to the end of your trial period that your employment will be terminated and the effective date of such termination.


Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

Benefits

A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.

Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.


How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

Qualified applicants will have a strong technical background in a computational science discipline (e.g., Mathematics, Statistics, Data or Computer Science) and research experience in mathematical analysis of large data sets. Experience in operational areas is a plus.

Exceptional candidates will have experience applying machine learning methods, including but not limited to a subset of deep learning, reinforcement learning, ensemble methods, and large scale graph analytics. Significant programming experience, especially working with large data sets (e.g., Python, Tensorflow, R, Java, C/C++, and/or other data processing frameworks) is preferred.

The ideal candidate is someone with excellent problem-solving, communication, and interpersonal skills, who possesses a range of knowledge and experience with:
  • Applying principles and methods of linear algebra (e.g., vector spaces, matrices, matrix manipulations) to solve complex problems;
  • Applying the mathematical principles, combinatorial methods or elicitation techniques to determine or calculate the likelihood of outcomes;
  • Quantifying the likelihood of an event's occurrence;
  • The scientific principles, methods, and processes used to conduct research studies (e.g., study design, data collection and analysis, and reporting results);
  • Applying data-analytic techniques to analyze, visualize, and summarize sample data from populations;
  • Drawing inferences regarding populations based on results from sample data.
  • Concepts and procedures for applying algorithm design techniques (e.g., data structures, dynamic programming, backtracking, heuristics, and modeling) to design correct, efficient, and implementable algorithms for real-world problems;
  • Debugging and testing software programs;
  • Using best programming practices (e.g., appropriate coding standards, algorithm efficiencies, coding documentation);
  • Using principles, techniques, procedures, and tools that facilitate the development of software applications;
  • Using software and computer languages and skills (e.g., writing code, debugging/testing programs, fixing syntax, correcting logic errors, using abstract data types) to develop programs that meet technical requirements

Required Documents

The National Security Agency (NSA) is part of the DoD Intelligence Community Defense Civilian Intelligence Personnel System (DCIPS). All positions in the NSA are in the Excepted Services under 10 United States Codes (USC) 1601 appointment authority. DoD Components with DCIPS positions apply Veterans' Preference to eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you may be asked to submit documents verifying your eligibility.

If you are relying on your education to meet qualification requirements:

Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.

Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.


How to Apply

To apply, please visit: https://apply.intelligencecareers.gov/job-description/1254111


Agency contact information

NSA POC
Phone
1-844-424-4737
Email
intelcareers@nsa.gov
Address
NSA External Hiring
9800 Savage Road
Fort Meade, MD 20755
US

Next steps

To apply, please visit: https://apply.intelligencecareers.gov/job-description/1254111


Overview

Accepting applications
Open & closing dates
02/19/2026 to 03/04/2026
Salary
$132,751 to - $197,200 per year
Pay scale & grade
GG 13 - 15
Location
Few vacancies in the following location:
Fort Meade, MD
Remote job
No
Telework eligible
No
Travel Required
Not required
Relocation expenses reimbursed
Yes—You may qualify for reimbursement of relocation expenses in accordance with agency policy.
Appointment type
Permanent
Work schedule
Full-time
Service
Excepted
Promotion potential
None
Job family (Series)
  • 0132 Intelligence
Supervisory status
No
Security clearance
Sensitive Compartmented Information
Drug test
Yes
Position sensitivity and risk
Critical-Sensitive (CS)/High Risk
Trust determination process
  • National security
Financial disclosure
Yes
Bargaining unit status
No
Announcement number
1254111
Control number
858206200