Senior Data Scientist (NLP & Applied AI)

Wiley; Hoboken (NJ); On-site; USD 110,000 - 157,000; Full time

Benefits offered by this job

Meeting-free Fridays

Competitive benefits package

Job summary

Wiley in Hoboken, NJ is seeking a senior data scientist to own domain-specific content modeling from eval sets to production pipelines over millions of journal articles. You will choose between traditional NLP methods and LLM-based approaches, defending each decision with solid evaluations and cost considerations.

You will work with editors, product managers, and engineers in a hands-on role to ship models that impact real users in a fast-moving 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 skills; comfortable in notebooks and production repositories; able to hand over modeling output smoothly.
• Ability to compare approaches, defend choices with evals and cost estimates, and respond to drift in performance.

Responsibilities

• Design and build NLP pipelines to extract entities, classifications, claims, and summaries from scientific full-text at scale.
• Compare NLP approaches to extraction and enrichment against LLM-based methods, and defend choices with evaluation, cost, and tradeoffs.
• Own evaluation; build golden sets with SMEs and vendors, select metrics, and balance speed, quality, and cost.
• Contribute to agentic AI work: tool-using systems that ground and defend answers in enriched corpora.
• Collaborate with editors, product managers, and engineers; translate stakeholder feedback into modeling work.

Skills

NLP & ML

Python

Evaluation design

Prompting & LLMs

Production experience

AWS SageMaker

S3

Tools

AWS SageMaker

S3

Parquet

Job description

Job Description:

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what’s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what’s next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

We’rebuilding the systems that turn one of the world’s largest scientific corpora intoresearchintelligence. That means productionNLP pipelines running over millions of journal articles, extracting entities, classifications, claim tuples, and summariesoptimizedfor use by downstream agentic applications.We’relooking for a senior data scientist to owndomain-specificcontentmodeling work end to end, from the eval set through the pipeline stage that ships it.

You’lljoin a small, senior team where data scientists own their models in production.You’llwrite 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 usersin a rapidly evolving market.

Job Responsibilities:

• Design and build NLP enrichment pipelines that extract entities, classifications, claims, and summaries from scientificfull-textat scale.
• Compare NLP approaches to extraction and enrichment against LLM-basedapproaches, andpick 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 setsin 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 productdecisions, andtranslate stakeholderpushbackinto concrete modeling work.

Required Qualifications:

• Strong NLP background across modern (LLMs, transformers, embeddings, retrieval) and classical (NER, classification, sequence labeling) approaches.You’vebuilt evaluationsand learned from the results.
• Cleanpython.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 costestimate, andknow what to do when performance drifts.

Preferred Qualifications:

• Experience working with scientific or scholarly text.
• Familiarity with AWS (S3, Batch, Lambda, SageMaker) and Parquet or Iceberg data lake patterns.
• Experience running LLMs underreal costand 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.

We power infinite possibilities.

For more than 200 years, we’ve transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what’s next in science, education, and publishing—creating impact that reaches everywhere.

We’re not just observers of progress. We’re the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.

Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything.

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. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact [e-mail] for assistance.

We are proud that our workplace promotes continual learning and internal mobility. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.

We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley’s good faith and reasonable estimate of the base pay for this role at the time of posting roles in the United Kingdom, Canada, USA, Austria, Czechia, Denmark, France, Greece, Italy, Netherlands, Romania, or Spain. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.

Salary Range:

109,500.00 USD to 156,833.33 USD#LI-JG1