Senior NLP & Applied AI Scientist - Research Intelligence

1001 John Wiley & Sons, Inc.; Hoboken (NJ); Hybrid; USD 110,000 - 157,000; Full time

Job summary

Wiley is building systems that turn vast scientific corpora into research intelligence, with production NLP pipelines extracting entities, classifications, and summaries at scale. A senior data scientist will own domain-specific content modeling end-to-end, from eval sets to pipeline shipping, within a small, senior team.

You will write code, own evaluations, and ship changes, staying accountable for outcomes in a rapidly evolving market.

Qualifications

• Strong NLP background across modern (LLMs, transformers, embeddings, retrieval) and classical (NER, classification, sequence labeling) approaches. You've built evaluations and learned from the results.
• Clean python. You are comfortable in exploratory notebooks and production repositories, and an engineer taking over a modeling output from you has a good head start.
• A habit of comparing approaches and choosing the right one for the task. You can defend "prompt a large LLM" and "train a small classifier on 2,000 labels" with equal seriousness, back the choice with an eval and a cost estimate, and know what to do when performance drifts.

Responsibilities

• Design and build NLP enrichment pipelines that extract entities, classifications, claims, and summaries from scientific full-text at scale.
• Compare NLP approaches to extraction and enrichment against LLM-based approaches, and pick the right tool for each task. That means putting traditional NLP (NER, sequence labeling, classification), embedding-based retrieval, LLM prompting, and fine-tuned smaller models on the same table, and defending each choice with evaluation, cost, and operational tradeoffs. This is a core part of the job, not an occasional exercise.
• Own evaluation. Build the golden sets in consultation with SMEs and vendors, choose the metrics, and make productive tradeoffs between speed, quality, and cost.
• Contribute to agentic AI application work: tool-using systems that reason over the enriched corpus, where your NLP and evaluation background will shape how the agent grounds and defends its answers. Work directly with editors, product managers, and engineers. Bring the modeling perspective into product decisions, and translate stakeholder pushback into concrete modeling work.

Skills

Strong NLP background

Clean Python

Eval/cost reasoning

Tools

AWS

Parquet

Iceberg

Job description

Wiley is building systems that turn vast scientific corpora into research intelligence, with production NLP pipelines extracting entities, classifications, and summaries at scale. A senior data scientist will own domain-specific content modeling end-to-end, from eval sets to pipeline shipping, within a small, senior team.

You will write code, own evaluations, and ship changes, staying accountable for outcomes in a rapidly evolving market.