Today
Top Secret
Unspecified
Polygraph
IT - Data Science
Chantilly, VA (On-Site/Office)
Overview
iota IT, a subsidiary of VTG, is seeking a Data Scientist in Chantilly, VA.
What will you do?
Do you have what it takes?
Desired Qualificaitons:
iota IT, a subsidiary of VTG, is seeking a Data Scientist in Chantilly, VA.
What will you do?
- Develops and conducts independent testing and evaluation methods on research-grade algorithms in applicable fields.
- Reports results and provide documentation and guidance on working with the research-grade algorithms.
- Evaluates, Integrates and leverage internally-hosted data science tools.
- Customize research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods
Do you have what it takes?
- Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance, with polygraph.
- Bachelor's Degree in Computer Science, Engineering or related field.
- Demonstrated experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems.
- Demonstrated experience in Python, Javascript, and R.
- 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.
Desired Qualificaitons:
- 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)
group id: RTL806649
