[Hiring] Senior Data Scientist @Wiley

Role Description

We're building the systems that turn one of the world's largest scientific corpora into research intelligence. That means production NLP pipelines running over millions of journal articles, extracting entities, classifications, claim tuples, and summaries optimized for use by downstream agentic applications.

We're looking for a senior data scientist to own domain-specific content modeling work end to end, from the eval set through the pipeline stage that ships it. You'll join a small, senior team where data scientists own their models in production. You'll write the code, own the evaluations, ship the changes, and stay accountable for the outcomes. This is a hands-on role for someone who wants to see their models through to real users in a rapidly evolving market.

What you'll do:

• 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.
• 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.
• Work directly with editors, product managers, and engineers. Bring the modeling perspective into product decisions.

Qualifications

• Strong NLP background across modern (LLMs, transformers, embeddings, retrieval) and classical (NER, classification, sequence labeling) approaches.
• Experience building evaluations and learning from the results.
• Clean Python skills.
• Comfortable in exploratory notebooks and production repositories.
• A habit of comparing approaches and choosing the right one for the task.

Requirements

• Experience working with scientific or scholarly text.
• Familiarity with AWS (S3, Batch, Lambda, SageMaker) and Parquet or Iceberg data lake patterns.
• Experience running LLMs under real cost and latency budgets in production.
• Some exposure to agentic AI applications: tool use, multi-step reasoning, guardrails, and evaluation of trajectories rather than single-turn outputs.

Benefits

• Meeting-free Friday afternoons allowing more time for heads down work and professional development.
• Opportunities to foster community, learn, and grow through a robust body of employee programming.
• Commitment to fair, transparent pay and competitive compensation.
• Comprehensive benefits package.

Company Description

Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws.

We are proud that our workplace promotes continual learning and internal mobility. For more than 200 years, we've transformed knowledge into discoveries that shape the world.