Principal Data Scientist I
At a glance
Senior Data Science role at RELX. Raleigh · full-time · $118,300–$219,800 base.
dataroles summary, based on the employer's posting.
What you'll do
- Lead analytic projects and share their results with relevant stakeholders
- Review code and make the final call on models before they reach customers
- Develop frameworks, set methods and establish governance for model work
- Guide small and medium-sized teams, directly or through others
- Set a high standard for how models are developed
What you bring
- Significant experience working as a data scientist and leading complex projects with customer relationships
- Hands-on knowledge of LLMs, retrieval-augmented generation, semantic search and embedding approaches
- Experience with knowledge graphs, agentic AI design, generative AI evaluation and production monitoring
- Strong communication and problem-solving skills, including clear updates for senior stakeholders
- Experience mentoring colleagues and leading teams directly or indirectly
Who this fits
This senior role suits an experienced data scientist who can lead technical work, guide colleagues and manage customer relationships. The position is based in Raleigh, United States.
From the employer
Principal Data Scientist I
Are you looking to develop your Data Scientist career?
Would you like to be part of a team that innovates using technology?
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
- Have excellent communication skills and the ability to convey information clearly to senior stakeholders
- Be a natural problem-solver and able to take a lead in collaborating to resolve issues
- Have experience in mentoring or training others, and acting as a subject matter expert to guide colleagues
- Have some management experience, including leading a team indirectly or directly
- Have significant experience in a Data Scientist role
- Have experience in leading complex projects and customer relationships
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