Senior Applied Mathematician

This position will work closely with mission analysts, engineers, and software developers to improve change detection capabilities, characterize resident space objects, evaluate algorithm performance, and advance statistical methods used in operationally relevant applications.

• Serve as a subject matter expert in applied mathematics, probability theory, stochastic processes, statistical inference, and event processing.
• Develop and refine probabilistic algorithms, statistical models, and hypothesis tests for feature-based change detection and mission-data analysis.
• Support radar-data processing and change-detection research, development, integration, testing, and evaluation activities.
• Formulate methods for resident space object characterization using noisy, sparse, or incomplete observational data.
• Apply statistical and machine-learning techniques to identify anomalies, characterize changes, and improve analytic performance.
• Develop and assess approaches based on the Sequential Probability Ratio Test (SPRT), statistical model fitting, moving-average methods, clustering, and related techniques, and contribute improvements to mission analytic tools and their underlying logic.
• Design experiments, evaluate algorithm performance, interpret results, and communicate technical findings to government and contractor stakeholders.
• Collaborate with multidisciplinary teams to translate mission needs into mathematically sound and implementable analytic solutions.
• Document methods, assumptions, results, and recommendations in technical reports, briefings, and other program deliverables.

• Ph.D. in Statistics, Applied Mathematics, Mathematics, Operations Research, or a closely related quantitative field.
• Ten (10) or more years of professional experience applying advanced statistical or mathematical methods to complex scientific, engineering, defense, intelligence, or national security problems.
• Demonstrated expertise in advanced probability theory, stochastic processes, statistical inference, hypothesis testing, and statistical model development.