Sr Staff / Senior Scientific Data Analyst

Description SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions.

Important Notice:

SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered. We are seeking a highly skilled Sr Staff / Senior Scientific Data Analyst to join our analytics team supporting an innovative Missile Defense Agency (MDA) program from our Boulder, CO office. This role blends advanced data analysis with hands‑on scientific computing and simulation development, contributing directly to mission‑critical decision support. The analyst will work with large‑scale simulations of current and future systems, design and troubleshoot experiment configurations, and evaluate whether system behaviors align with expected operational outcomes. They will also develop Python‑based tools to automate analysis workflows, interpret complex performance data, and generate insights that inform new operational paradigms and validate existing ones. Responsibilities Data Processing & Analysis Ingest, clean, and transform diverse structured and unstructured datasets Develop Python-based data readers, preprocessing pipelines, and visualization tools Design and compute new metrics to evaluate algorithm, system, or experiment performance Interpret raw and graphical performance data into actionable insights for engineering and scientific teams Create clear, formal analysis reports and present findings to technical and non‑technical audiences Simulation & Experimentation Design, configure, and troubleshoot simulation experiments for scientific or algorithmic evaluation Modify, extend, and maintain existing Python simulation tools with minimal oversight Develop novel Python code to support new experiment types or analysis workflows Perform regular demos of experiments and results for cross-training and feedback Technical Leadership & Collaboration Work independently to scope, execute, and deliver complex analytical tasks Collaborate across engineering, research, and product teams to share findings and refine methodologies Mentor junior analysts and engineers in best practices for data processing, visualization, and experimental design Participate in peer review of analysis methods, code, and reports Contribute to documentation, knowledge sharing, and clear technical communication Work as part of an indisciplinary Agile team Other duties as assigned