Associate / Staff Mission Data Analyst (Clearance Required) job opportunity at SciTec.

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Date2026-01-22T23:25:12.224Z bot
SciTec Associate / Staff Mission Data Analyst (Clearance Required)
Experience: General
Pattern: full-time
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degreeGeneral
loacation Aurora, United States Of America
loacation Aurora....United States Of America

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.  SciTec has an immediate opportunity for a talented systems analyst/engineer to support our programs delivering Next-Generation Missile Warning software. This is a unique opportunity to join a small business delivering core capabilities for National defense. You will work within a fast-paced team delivering end-to-end software processing of Overhead Persistent InfraRed (OPIR) sensor data for Missile Warning, Missile Defense, Battlespace Awareness, and Technical Intelligence. You will perform analysis and studies on complex, mission critical software in various phases of maturity, from prototype to operational systems. You will work with and develop analysis tools in Python, MATLAB, and other languages to support analysis. Our ideal candidate will be able to analyze and interpret the results of data processing algorithms to find patterns, identify deficiencies, and recommend improvements to influence algorithmic development and system deployment. This is an early career role. Industry or research-level academic experience with remote sensing data analysis is preferred.  Responsibilities  Interpreting raw and graphical algorithm performance data into actionable recommendations for software development teams  Presenting analysis findings to team leads  Creating formal analysis reports and participating in peer review  Testing prototype, development, and sustainment software builds to support performance analysis for mission critical capabilities  Developing analysis tools in Python ranging from data readers to interactive multivariate visualizations  Designing new metrics to improve algorithm and system performance assessments  Other duties as assigned    Requirements  A bachelor’s degree in the physical sciences, mathematics, engineering, or computer science  Experience with large dataset analysis  Experience with remote sensing data analysis  Demonstrated ability to work on Linux operating systems  Experience using Python and/or MATLAB for data analysis  Capability to follow logic in other languages (C++, shell scripts)  An active SECRET DoD security clearance or higher Detail oriented  Good verbal and written communication skills    Candidates who have one or more of the following skills will be preferred:  Experience with the exploitation and analysis of OPIR data  Experience using visualization and analysis Python packages  Fluency with object-oriented software design principles  An advanced degree in the physical sciences, mathematics, engineering, or computer science  Experience working in an Agile development process  *Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment. Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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