Senior AI Scientist - NLP/LLM Product & Mentorship

LexisNexis Legal & Professional group; Raleigh (NC); Sur place; USD 105 000 - 175 000; Plein temps

Résumé du poste

LexisNexis Legal & Professional is seeking a Senior Data Scientist II to help lead AI-driven product capabilities in the legal domain. The role involves designing NLP/LLM solutions, defining inference workflows, and guiding data science teams across global platforms.

You will work with product, legal experts, and engineers to ensure solutions meet user needs, with strong focus on model evaluation, experimentation, and benchmarking.

Qualifications

• Master’s degree or higher in a quantitative/technical field.
• Strong experience in machine learning, NLP, and LLM-based modeling.
• Experience designing and running experiments, including model evaluation and iteration.

Responsabilités

• Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
• Define agentic workflows and reasoning strategies for multi-step legal tasks.
• Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics.
• Analyze large-scale legal datasets to extract insights and improve model performance.
• Establish best practices for model evaluation, validation, and benchmarking.
• Translate experimental results into clear product recommendations and business impact.
• Collaborate with product, legal experts, and engineers to align solutions with user needs.
• Mentor team members and provide technical leadership in data science and AI.

Connaissances

NLP

Machine Learning

LLM-based modeling

Python

Statistics

Formation

Master’s degree or above in a quantitative or technical field

Outils

LangChain

LangGraph

AutoGen

Description du poste

LexisNexis Legal & Professional is seeking a Senior Data Scientist II to help lead AI-driven product capabilities in the legal domain. The role involves designing NLP/LLM solutions, defining inference workflows, and guiding data science teams across global platforms.

You will work with product, legal experts, and engineers to ensure solutions meet user needs, with strong focus on model evaluation, experimentation, and benchmarking.