Senior Data Scientist

🕒 April 21

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $115.4k - $230.7k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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LexisNexis

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1970

📋 Compliance

🏛️ Government

☁️ SaaS

💰 Corporate Round on 2021-06

Compliance • Government • SaaS

LexisNexis is a provider of professional solutions tailored for law firms, corporations, government agencies, and academic institutions. It offers legal solutions, news, and business insights. LexisNexis also provides risk solutions for companies and government agencies, focusing on data analytics for compliance, customer acquisition, fraud detection, health outcomes, identity solutions, investigations, receivables management, risk decisioning, and workflow optimization. As part of the RELX Group, LexisNexis is committed to enhancing digital experience through data and analytics.

📋 Description

• 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

🎯 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

🏖️ Benefits

• annual incentive bonus • country specific benefits