MCG is looking to enhance the US healthcare system by developing evidence-based content and innovating products to accelerate improvements in healthcare, and the Principal Data Scientist will serve as the technical leader for Natural Language Processing research and development.
Requirements
- 8 years of experience in Data Science or Machine Learning Engineering
- Expert level Python: able to write reliable, extensible code
- Demonstrated experience translating high level requirements into models in production
- Deep experience with Natural Language Processing (NLP)
- Knowledge of deep learning fundamentals and experience finetuning various foundation/backbone models for new tasks
- Experience using pretrained LLM's for zero or few-shot learning tasks
Responsibilities
- Translate desired product functionality into machine learning tasks for data scientist and machine learning engineers to solve
- Lead and establish best practices for various research activities including data collection/annotation, literature research, experimentation, and evaluation
- Provide technical and project leadership for other Data Scientists
- Create and test novel LLM based systems
- Stay informed on new methodologies for evaluating generative models and other complex deep learning techniques
Other
- Good written communication skills
- Occasional travel to participate in team or company-sponsored events
- 8 years of experience in Data Science or Machine Learning Engineering
- Bachelor's degree or higher in a relevant field (not explicitly mentioned but implied)
- Remote work with preference for candidates located in Seattle
