Applied Research Mathematician / Generative AI - Experienced to Expert Level (Maryland)

National Security Agency/Central Security Service

Fort Meade, MD

JobSummary

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/1256896

LowGrade

HighGrade

PromotionPotential

None

OrganizationCodes

DD/DD28

Relocation

True

HiringPath

fed-excepted
disability
public
vet

MCOTags

08
IC Intel
NatSec

TotalOpenings

Few

AgencyMarketingStatement

TravelCode

MajorDuties

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.

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.

Requirements

Evaluations

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

HowToApply

To apply, please visit: https://apply.intelligencecareers.gov/job-description/1256896

WhatToExpectNext

To apply, please visit: https://apply.intelligencecareers.gov/job-description/1256896

RequiredDocuments

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.

Benefits

OtherInformation

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.

KeyRequirements

WithinArea

False

CommuteDistance

ServiceType

AnnouncementClosingType

AgencyContactEmail

intelcareers@nsa.gov

AgencyContactPhone

1-844-424-4737

SecurityClearance

Sensitive Compartmented Information