Jobs · Engineering · North Carolina

Principal Data Scientist I

LexisNexis · Raleigh, NC · 1 mo ago
Engineering$118k–$220k/yrFull-time

Responsibilities

  • Acting as a leader for analytic project and result sharing
  • Leading code reviews, acting as a final approver of models before reaching customers
  • Evaluating and creating new frameworks and defining methodologies and governance
  • Managing and leading small-to-medium sized teams, directly or indirectly
  • Setting a high-bar for model development

Requirements

  • Large language models (prompting, fine-tuning, adaptation)
  • LLM Advanced retrieval-augmented generation (hybrid search, ranking optimization)
  • RAG Embedding strategies and semantic search systems
  • Knowledge graph integration and graph-enhanced intelligence
  • Agentic AI architecture, multi-step reasoning, autonomous agent orchestration, and long-running agent design with feedback loops
  • GenAI Evaluation science (offline metrics, human-in-the-loop systems)
  • Cost-performance optimization AI observability and monitoring in production
  • Data governance and compliance-aware system design

Qualifications

  • Excellent communication skills and the ability to convey information clearly to senior stakeholders
  • Natural problem-solver and able to take a lead in collaborating to resolve issues
  • Experience in mentoring or training others, and acting as a subject matter expert to guide colleagues
  • Some management experience, including leading a team indirectly or directly
  • Significant experience in a Data Scientist role
  • Experience in leading complex projects and customer relationships

Skills

  • Large language models (prompting, fine-tuning, adaptation)
  • LLM Advanced retrieval-augmented generation (hybrid search, ranking optimization)
  • RAG Embedding strategies and semantic search systems
  • Knowledge graph integration and graph-enhanced intelligence
  • Agentic AI architecture, multi-step reasoning, autonomous agent orchestration, and long-running agent design with feedback loops
  • GenAI Evaluation science (offline metrics, human-in-the-loop systems)
  • Cost-performance optimization AI observability and monitoring in production
  • Data governance and compliance-aware system design

Benefits

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

To access benefits specific to your location, click here.

Pay

The U.S. National Base Pay Range is $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.

Schedule

This job is eligible for an annual incentive bonus.

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