Complex Systems Modeler
Overview
In this role you will design and apply models and simulations of complex systems to inform government sponsors. You will work across domains like national security, healthcare, and transportation, delivering actionable analyses that support decision making. The position combines data analysis with modeling to test interventions and build intuitive tools for stakeholders. You will collaborate in a fast-paced environment, stay current with techniques, and contribute to a culture of collaboration and impact.
Compensation / Benefitscompetitive benefitsprofessional development opportunitiesculture of innovationcollaborative environmentcross-domain impacthybrid work arrangement
ResponsibilitiesFormulate and develop models and simulations of real-world complex systemsGenerate research questions, test hypotheses, and analyze loosely defined problemsCollaborate with government sponsors to understand challenges and evaluate solutionsDevelop and apply analytic models and adapt to a fast-paced environmentPresent results in accessible, actionable formats for diverse audiencesStay current on modeling, data science, visualization, and engineering techniquesOwn aspects of work and contribute as a collaborative teammate
Key requirementsBachelor degree in quantitative field or related social/behavioral sciences with computational experienceMinimum 2 years of experience with Bachelor degree or relevant Master’s experience in computational modeling and analysisExcellent written and verbal communication skillsProven ability to formulate models from underspecified questionsExpertise in agent-based, discrete event, system dynamics, or ML-based modeling for complex systemsExperience with spatiotemporal data analysisProgramming experience with Python, R, SAS, MATLAB, Java, or C++Experience using visualization tools (Tableau, ggplot2, Plotly, matplotlib, seaborn, D3.js)Ability to apply and adapt algorithms to solve problemsActive U.S. government clearance (Secret, ability to obtain Top Secret/SCI); U.S. citizenship requiredHybrid work arrangement (minimum 50% on-site)written and verbal communicationinitiativecollaborationAgent-based modelingDiscrete event modelingSystem dynamics