Principal Data Scientist (AI)

Location: Hoboken, New Jersey, USA

Salary: $140,000–$200,733.33 per year

Company

hirify.global is a global science, education, and publishing organization transforming research and learning into practical impact.

What you will do

• Design and build production NLP enrichment pipelines processing millions of scientific journal articles.
• Extract entities, classifications, claims, and summaries for downstream agentic AI applications.
• Compare classical NLP, embedding-based retrieval, LLM prompting, and fine-tuned models using evaluation, cost, and operational tradeoffs.
• Build golden evaluation sets with subject-matter experts and vendors, define metrics, and balance quality, speed, and cost.
• Write production-quality Python and manage concurrency and cost for high-volume LLM workloads.
• Collaborate with data engineers on reliable, idempotent, retryable pipeline stages using Airflow and Dagster, while contributing to agentic AI applications.

Requirements

• Deep production Python experience at scale, including concurrency patterns such as 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, and making decisions based on quality and cost.
• Track record of shipping production systems that deliver value to real users.
• Work location: Hoboken, New Jersey, USA.

Nice to have

• Experience 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

• Work in a senior, hands-on environment where data scientists own models through production and remain accountable for outcomes.
• Meeting-free Friday afternoons support focused work and professional development.
• Continual learning and internal mobility programs support career growth.
• Competitive compensation and a comprehensive benefits package are provided.
• Equal opportunity and reasonable accommodation are supported.