Principal Data Scientist (NLP)

Location: Hoboken (HQ), New Jersey, USA

Salary: USD 140,000–200,733.33 per year

Company

hirify.global is a long-established global company focused on science, education, publishing, and transforming knowledge into practical impact.

What you will do

• Design and build production NLP enrichment pipelines that extract entities, classifications, claims, and summaries from millions of scientific journal articles.
• Compare classical NLP, embedding-based retrieval, LLM prompting, and fine-tuned smaller models using quality, evaluation, cost, and operational criteria.
• Build golden evaluation sets with subject-matter experts and vendors, select metrics, and balance speed, quality, and cost.
• Write production-quality Python and manage concurrency and costs for high-volume LLM workloads.
• Collaborate with data engineers to orchestrate reliable, idempotent, retryable pipeline stages using Airflow and Dagster.
• Contribute to agentic AI applications and collaborate with editors, product managers, and engineers on modeling and product decisions.

Requirements

• Deep production experience with Python at scale, including clear tradeoff decisions between asyncio, threads, and queues.
• Strong experience with modern and classical NLP, including LLMs, transformers, embeddings, retrieval, NER, classification, and sequence labeling.
• Experience building evaluations, comparing modeling approaches, estimating costs, and responding to performance drift.
• Track record of shipping production systems that deliver value to real users.
• Ability to work with editors, product managers, engineers, subject-matter experts, and vendors.

Nice to have

• Experience working with scientific or scholarly text.
• Familiarity with AWS services including S3, Batch, Lambda, and SageMaker.
• Experience with Parquet or Iceberg data lake patterns.
• Experience running LLMs under production cost and latency budgets.
• Exposure to agentic AI applications, tool use, multi-step reasoning, guardrails, and trajectory evaluation.

Culture & Benefits

• Culture emphasizing bold ideas, diverse perspectives, learning, and measurable impact.
• Meeting-free Friday afternoons for focused work and professional development.
• Employee programs supporting community, continual learning, and internal mobility.
• Comprehensive benefits package and competitive compensation.
• Equal opportunity employer committed to reasonable accommodations.

Hiring process

• Attach a resume or CV when applying.