Data Scientist, NLP

3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models 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

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 Develop models for document understanding tasks Perform error analysis, data cleaning, and other related tasks to improve models Make recommendations for the development roadmap of a capability Optimize machine learning models and insert them into end-to-end pipelines Understand product use-cases and define key performance metrics for models Set up systems for long-term improvement of models and data quality