Hiring: Principal Applied Scientist - TS/SCI Company: Vantor Location: Herndon, VA Job Posted Time: 2026-09-10 12:00:00 Employment Type: On-site Target Skills & Keywords : Machine Learning, Python, R, Reinforcement Learning, Security Clearance About the job Experience: •12+ years of relevant experience. •2 years) in modeling, using statistics to conduct predictive modeling and make estimates on future occurrences based on prior events, and using physics-based modeling to review sensor capabilities and predict sensor ability to perform tasks in a synthetic scenario Required Skills: •Serve as the scientific lead for computational modeling and simulation activities across the program. •Establish scientifically rigorous methodologies for representing UTS phenomena within analytical and simulation environments. •Ensure analytical approaches accurately reflect the underlying physical, operational, and statistical characteristics of the data. •Design, develop, and validate complex agent-based models representing UTS interactions and operational environments. •Develop agent behaviors, environmental conditions, interaction rules, and emergent system dynamics •Evaluate simulation outputs for realism, repeatability, and operational relevance. •Evaluate government-provided datasets to identify meaningful physical, temporal, behavioral, and operational relationships. •Develop scientifically valid approaches for feature engineering and diagnostic vector identification. Qualifications: •US Citizen and must have an active TS/SCI clearance, with ability to obtain CI Poly. •Master's or PhD in physics, mathematics, statistics, operations research, engineering, science, or related discipline. •Strong technical leadership experience. •Extensive demonstrated knowledge and experience utilizing the following modeling techniques: process, predictive, physics-based, agent-based. •Significant current experience (i.e., within last 2 years) in modeling, using statistics to conduct predictive modeling and make estimates on future occurrences based on prior events, and using physics-based modeling to review sensor capabilities and predict sensor ability to perform tasks in a synthetic scenario •Proficiency in Python and scientific computing libraries. •Demonstrated capacity to clearly communicate technical concepts and analytical results in writing and verbally. •Must be able to work on-site in Herndon, Va. •Published modeling reports and/or authored new procedures/methods to create innovative modeling approaches to solve complex issues Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!