Data Science Jobs in Raleigh, NC (NOW HIRING)

Job Summary:
LexisNexis is a global provider of information-based analytics and decision tools for professional and business customers. They are seeking a Senior Manager of Data Science to lead a team in developing AI strategies and production systems that transform legal and business information into actionable intelligence.
Responsibilities:
• Set the vision and strategic priorities, acting as a recognized expert for Data Science
• Lead and develop a team of data scientists and ML engineers, setting the cultural tone for the group
• Drive applied research with a clear path to production, explicitly balancing innovation against real-world constraints including latency, cost, and reliability
• Build and scale evaluation science capabilities within the team, including offline evaluation frameworks, automated benchmarking pipelines, and human-in-the-loop feedback systems to rigorously measure model quality and business impact
• Champion hands-on rapid prototyping and iteration
• Collaborate with other Data Science teams to maximize re-use of components and patterns, eliminating waste, duplication and unnecessary customization
• Operate with broad scope, coordinating across multiple cross-functional teams, systems, and domains
• Collaborate closely with other Data Science teams, to define and execute the AI roadmap across the content lifecycle, maximizing reuse in areas including: Content collection (e.g. “web scraping”) and transformation, Metadata extraction, enrichment, and classification, Agentic workflows turning real-world events and legal content into legal intelligence, AI-powered downstream product capabilities
• Design and deploy scalable, production-grade AI systems, including: LLM-powered document understanding and generation, Agentic workflows balancing agent autonomy and efficiency with required structure and accuracy, Retrieval-augmented generation (RAG) pipelines, Hybrid ML + rules-based systems for structured content
• Lead through execution and by example: Actively writing code, not just delegating, Building and demoing working prototypes (e.g. by “vibe coding”), Directly contributing to experiments and production models
• Establish and scale best practices in Data Science, including: Model development, evaluation, and monitoring, Prompt engineering and experimentation frameworks, Data preparation and feature engineering standards, Reusable components and platform capabilities
• Partner closely with engineering, architecture, and product leaders to: Integrate AI into large-scale distributed systems, Ensure performance, scalability, and reliability, Align technical solutions with business outcomes
• Translate complex, ambiguous problems into clear project plans and executable solutions, and lead teams through delivery
• Present tradeoffs, alternative approaches and options when faced with delivery constraints
• Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers
• Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design
• Establish best practices for evaluation, observability, and responsible use of generative AI
• Oversee development of infrastructure to support continuous delivery and monitoring of LLM systems in production environments.
Qualifications:
Required:
• Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or a related field strongly preferred, or equivalent practical experience
• Bachelor’s degree in a relevant field with significant applied experience in data science, machine learning, or AI
• Typically requires: 8+ years of relevant experience in data science, machine learning, or applied AI
• Typically requires: 4+ years of leadership experience (direct or indirect team management)
• Proficient with Python, ML and LLM tooling such as Google ADK, LangChain, ML Frameworks (e.g. TensorFlow, PyTorch) and prompt tuning techniques
• Familiarity with vector databases, knowledge graphs, and hybrid retrieval architecture
• Strong experience working with structured and unstructured data at scale
• Ability to design and implement data pipelines and preparation workflows
• Experience integrating ML into complex, multi-stage processing systems
• Working knowledge of containerization, CI/CD, RESTful API Design and model serving tools
• Cloud infrastructure experience on AWS (preferred), Azure, or GCP
• Familiarity with AI Coding Tools (e.g. GitHub CoPilot, Claude Code, OpenAI Codex)
Preferred:
• Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience
• 8+ years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems
• Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable
• Familiarity with ethical/legal considerations in deploying generative AI in professional settings
Company:
LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate businesses. It is a sub-organization of RELX. Founded in 1970, the company is headquartered in Albany, USA, with a team of 10001+ employees. The company is currently Late Stage.