Senior Data Scientist (NLP & Applied AI)
Core
Building production NLP pipelines to extract entities, classifications, claims, and summaries from millions of scientific journal articles for downstream agentic applications.
Role type
Senior IC data scientist (NLP & Applied AI)
Builds
Production NLP pipelines and agentic AI applications
Domain
Scientific publishing, NLP, Applied AI
Deliverable
production ML models
Required skills
NLP (LLMs, transformers, embeddings, retrieval, NER, sequence labeling, classification), Python, model evaluation, cost-performance tradeoff analysis
Preferred skills
Scientific text domain expertise, AWS (S3, Batch, Lambda, SageMaker), data lake patterns (Parquet, Iceberg), agentic AI (tool use, multi-step reasoning)
Technologies
Python, LLMs, transformers, embeddings, AWS, Parquet, Iceberg
Responsibilities
Design and build NLP enrichment pipelines at scale; Compare and select between traditional NLP and LLM-based approaches; Own evaluation strategy and golden set creation; Contribute to agentic AI application development; Collaborate with editors, product managers, and engineers on modeling decisions
Seniority
Senior, hands-on IC