Data Scientist - TS​/SCI w​/Poly

Qualifications

• Demonstrated experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch
• Demonstrated experience with statistical inference, as well as building and understanding predictive models, using machine learning methods
• Demonstrated experience with large-scale text analytics
• Demonstrated hands‑on experience performing research or development with natural language processing and working with, deploying, and testing Convolutional Neural Networks (CNN), large‑language models (LLMs) or foundational models
• Demonstrated experience developing and deploying testing and verification methodologies to evaluate algorithm performance and identify strategies for improvement or optimization
• Demonstrated experience deploying machine learning models on multimedia data, to include joint text, audio, video, hardware, and peripherals
• Demonstrated experience with Linux System Administration and associated scripting languages (Bash)
• Demonstrated experience with Android configuration, software development, and interfacing
• Demonstrated experience in embedded systems (Raspberry Pi)
• Develops and conducts independent testing and evaluation methods on research‑grade algorithms in applicable fields
• Reports results and provides documentation and guidance on working with the research‑grade algorithms
• Evaluates, integrates, and leverages internally‑hosted data science tools
• Customizes research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods