Data Scientist - Star 1978 Position 39813

Introduction

The Sponsor conducts strategic research and development and requires support in the evaluation, system design, and software engineering support to transition, primarily open source, software prototypes and algorithms to a secure Sponsor & Partner Cloud Environment infrastructure for deployment throughout the Sponsors organization. The Sponsor also needs support to evaluate and verify software prototypes and algorithms, and package them for transition to partners outside the Sponsors organization.

Data Science

The Contractor shall develop and conduct independent testing and evaluation methods on research-grade algorithms in applicable fields.

The Contractor shall report results and provide documentation and guidance on working with the research-grade algorithms.

The Contractor shall evaluate, integrate and leverage internally-hosted data science tools.

The Contractor shall customize research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods

Required skills and Demonstrated Experience

• Demonstrated hands-on experience in Python, Javascript, and R.
• Demonstrated hands-on 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.

Highly Desired skills and demonstrated experience

• 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 hands-on 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.