Data Scientist, NLP
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Job Description
Data Scientist developing machine learning models to revolutionize healthcare documentation. Collaborating with teams to tackle challenges in document understanding, extracting meaning from unstructured data.
Responsibilities:
- Design and develop models to extract entities, detect intents, and understand document structure
- Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs
- Evaluate model performance where ground truth is partial, uncertain, or evolving
- Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions
- Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines
- Understand product use-cases and define key performance metrics for models according to business requirements
- Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.)
Requirements:
- 3+ years of experience with data science and machine learning in an industry setting
- Proficiency with Python
- Experience with the latest in language models (transformers, LLMs, etc.)
- Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
- Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow
- Industry experience shepherding ML/AI projects from ideation to delivery
- Demonstrated ability to influence company KPIs with AI
- Demonstrated ability to navigate ambiguity
Benefits:
- Building systems that make healthcare data more usable, accurate, and safe
- Health insurance
- Professional development opportunities
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