Senior Data Scientist, NLP – Applied AI

🕒 October 20

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

💵 $109.5k - $156.8k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Wiley

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

📚 Education

🔬 Science

Education • Science

Wiley is a global publishing and information services company that connects researchers, educators, students, and professionals through scholarly journals, books, digital content, and learning platforms. It operates Wiley Online Library with thousands of journals, reference works, and books, provides textbooks and courseware (including rental and digital access), and offers publishing, research support, and AI-enabled tools and services for academic institutions, R&D teams, societies, and corporations. Wiley advances research discovery and professional learning by combining trusted content with technology platforms, licensing, and development services.

📋 Description

• Design and build NLP enrichment pipelines extracting entities, classifications, claims, and summaries from scientific full text at scale • Compare traditional NLP, embedding-based retrieval, LLM prompting, and fine-tuned smaller models • Select approaches based on evaluation, cost, and operational tradeoffs • Build golden evaluation sets in consultation with SMEs and vendors • Choose evaluation metrics and balance speed, quality, and cost • Contribute to agentic AI applications that reason over enriched scientific corpora • Help agents ground and defend their answers • Work directly with editors, product managers, and engineers • Bring modeling perspectives into product decisions • Translate stakeholder feedback into concrete modeling work • Own models, evaluations, code, production changes, and outcomes end to end

🎯 Requirements

• Strong NLP background across modern approaches including LLMs, transformers, embeddings, and retrieval • Strong NLP background across classical approaches including NER, classification, and sequence labeling • Experience building evaluations and learning from results • Clean Python code • Comfort working in exploratory notebooks and production repositories • Ability to compare modeling approaches and select the appropriate approach based on evaluation, cost, and operational tradeoffs • Preferred: Experience working with scientific or scholarly text • Preferred: Familiarity with AWS, including S3, Batch, Lambda, and SageMaker • Preferred: Familiarity with Parquet or Iceberg data lake patterns • Preferred: Experience running LLMs under real cost and latency budgets in production • Preferred: Exposure to agentic AI applications, including tool use, multi-step reasoning, guardrails, and trajectory evaluation • Resume/CV required when applying

🏖️ Benefits

• Meeting-free Friday afternoons for heads-down work and professional development • Professional development opportunities • Employee programs supporting community, learning, and growth • Comprehensive benefits package • Reasonable accommodation for applicants with disabilities

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