Principal Data Scientist
Job Location:
Hoboken, NJ - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
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 whats possible within science and learning. We are a culture that obsesses over impact challenges and drives whats next to power infinite possibilities for our customers colleagues and society at large.
About the Role:
Werebuilding the systems that turn one of the worlds largest scientific corporation intoresearchintelligence. That meansproductionNLP pipelines running over millions of journal articles extracting entities classifications claim tuples and summariesoptimizedfor use by downstream agentic applications.Werelooking for a principal data scientist to owndomain-specificcontentmodeling work end to end from the eval set through the pipeline stage that ships it.
Youlljoin a small senior team where data scientists own their models in production.Youllwrite 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.
Write production-quality Python. Manage concurrency and cost for high-volume LLM workloads. Structure code that engineers canshipand other data scientists can extend.
Collaborate with a team of data engineers to orchestrate work in datapipelineand data build tools like Airflow andDagster. Design idempotentretryable evaluable pipeline stages that stay reliable when a run fails at scale.
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.
Job Requirements:
Deep Python.Youvewritten it in production at scale for years. You know when to reach forasyncioversus threads versus a queue and you can explain the tradeoff clearly.
Strong NLP background across modern (LLMs transformers embeddings retrieval) and classical (NER classification sequence labeling) approaches.Youvebuilt evaluationsand learned from the results.
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 2000 labels with equal seriousness back the choice with an eval and a costestimate andknow what to do when performance drifts.
A track recordof shipping not just prototypes and papers but systems that deliver value to real users.
Preferred:
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 weve transformed knowledge into discoveries that shape the world. Today our global team of innovators creators and experts is driving whats next in science education and publishingcreating impact that reaches everywhere.
Were not just observers of progress. Were 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 individuals 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 for assistance.
We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates needle movers and learning champions all while striving to support the health and well-being of all employees. 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 Wileys 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.
When applying please attach your resume/CV to be considered.
Salary Range:
140000.00 USD to 200733.33 USD #LI-JG1Required Experience:
Staff IC
