Location: Los Alamos, NM
Cap-Exempt H-1B Position — No lottery required
**What You Will Do** The Data Analysis Team within the Test Engineering group (V-14) seeks candidates with experience applying data-driven, computational, and analytical techniques to challenges in engineering and the physical sciences. Our mission is to organize and consolidate measured data and employ those data to provide accurate, timely, data-driven products in support of the annual assessment, stockpile modernization, and other national security missions. Examples of the work we do include, but are not limited to: - Utilize efficient data processing and signal analysis techniques on large-scale, multimodal time series data (e.g., vibration, electromagnetic, and environmental) to rapidly detect and characterize signals of interest in support of national security missions, including weapons and nonproliferation efforts. - Develop and implement statistical methods for engineering and scientific data like functional analysis of variance to provide real-time decisions with theoretical guarantees - Apply data science and statistical principles to develop and evaluate a wide range of mathematical models, including generative, regression, and classification approaches in deep learning, as well as linear and other machine learning methods. - Organize, label, and otherwise munge large sets of engineering data for preparation for subsequent analysis - Monitor data collections from aircraft performing maneuvers to ensure collected data represent realistic weapons environments using informed engineering knowledge Our work integrates diverse theoretical disciplines, including data science, artificial intelligence, classical and Bayesian statistics, and mathematics, and applies them to complex physical systems in areas such as mechanical, electrical, and physical sciences. We seek candidates whose expertise and interests lie at the intersection of these fields and who are eager to contribute to cross-disciplinary research and innovation. Depending on the skills and interests