What are the responsibilities and job description for the Data Scientist position at Bespoke Technologies, Inc.?
BT-167 – Data Scientist
Location: Chantilly (fully on-site, no remote option)
The Candidate MUST have experience with Python, PyTorch, Flask (knowledge at minimum with ability to quickly pickup), Familiarity with REST APIs (at minimum), Statistics background/experience, Basic understanding of NLP.
Desired skills for a candidate include experience performance R&D with natural language processing, deploying CNN and LLMs or foundational models, deploying ML models on multimedia data, experience with Linux System Administration (or bash), experience with Android Configuration, experience in embedded systems (Raspberry Pi)
Required Skills & Experience
Location: Chantilly (fully on-site, no remote option)
- MUST HAVE A POLY CLEARANCE TO APPLY. Those who do not have a Poly clearance will not be considered.**
The Candidate MUST have experience with Python, PyTorch, Flask (knowledge at minimum with ability to quickly pickup), Familiarity with REST APIs (at minimum), Statistics background/experience, Basic understanding of NLP.
Desired skills for a candidate include experience performance R&D with natural language processing, deploying CNN and LLMs or foundational models, deploying ML models on multimedia data, experience with Linux System Administration (or bash), experience with Android Configuration, experience in embedded systems (Raspberry Pi)
Required Skills & Experience
- 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.
- 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 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.