Booz Allen Hamilton has been at the forefront of strategy and technology for more than 100 years Today, the firm provides management and technology consulting and engineering services to leading Fortune 500 corporations, governments, and not-for-profits across the globe. Booz Allen partners with public and private sector clients to solve their most difficult challenges through a combination of consulting, analytics, mission operations, technology, systems delivery, cybersecurity, engineering and innovation expertise.
Geospatial Research Scientist
Serve as an experienced, Forward-thinking, and innovative scientist on an urban damage assessment research and development mission for a government agency. Play a critical role in solving some of the most challenging problems facing the nation's intelligence community. Develop automated methods and processes for urban damage assessment and analysis. Apply machine learning techniques for the detection of damage from image and non
-image data, hypothesis management of accumulated detections, and cost estimation. Collaborate with development teams to implement solutions in a prototype environment.
-15+ years of experience in research, algorithm development, image science, intelligence analysis, or tool development
-5 years of experience with algorithm code development in languages, including MATLAB, Python, Java, C++, or other high
-MS degree in Computer Science, Physics, Applied Mathematics, or Engineering
-Experience with damage or loss assessment techniques
-Experience with automating manual workflows
-Experience with intelligence analysis
-Knowledge of a variety of machine learning disciplines, including neural networks, Bayesian inference, and symbolic learning
-PhD degree in Computer Science, Physics, Applied Mathematics, Engineering, or a related field preferred
Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
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