Senior Data Scientist III

Remitly • Raleigh, NC

1d

About The Position

LexisNexis Legal & Professional, a part of RELX, operates in over 150 countries with 11,800 employees globally. The company is a leader in deploying AI and advanced technologies to the legal market, aiming to enhance productivity and transform the legal business and practice. They focus on ethical and powerful generative AI solutions, utilizing a flexible, multi-model approach to select the best models for specific legal use cases. Senior Data Scientists III are recognized as emerging subject matter experts within their domain. Their role involves defining projects and overseeing their execution. While they may have small teams of indirect reports, their leadership is primarily through influence, with a strong emphasis on mentoring teams to develop and implement best practices and methodologies.

Requirements

• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).
• Demonstrates strong experience in NLP, and LLM-based modeling.
• Strong experience with generative AI techniques (e.g., prompt engineering, RAG).
• Experienced in designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.
• Ability to design workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.
• Proficiency in Python and data analysis tools.
• Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
• Able to analyze large-scale legal datasets to extract insights and improve model performance.

Responsibilities

• Lead experimentation and model development for AI/ML solutions in legal products.
• Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
• Define agentic workflows and reasoning strategies for multi-step legal tasks.
• Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
• 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.

Benefits

• Country specific benefits are offered, with details available via a provided link.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees