Applied Research Mathematician

RESPONSIBILITIES 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 with experience in machine learning security 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, vulnerability research, machine learning security, network defense, digital forensics, and graph algorithms. Machine learning models can be made to learn the wrong thing, do the wrong thing, or reveal the wrong thing. Statistics and Machine Learning Research is interested in understanding the threats facing operationally deployed machine learning models. The ideal candidate will not only have extensive experience in developing and deploying machine learning models, but also in understanding the threats to those models and how to secure them. 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. SKILLS 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 netw