LexisNexis
About the Role
Lead Data Scientist at LexisNexis – you will define and drive the technical strategy for high‑impact ML, NLP and LLM initiatives across Global Next‑Gen Solutions (GNS). You’ll lead teams in developing, deploying, and governing production‑grade AI systems that power LexisNexis products globally, delivering measurable impact for hundreds of thousands of users. Location
Expected to work in Raleigh, NC from the date of joining. If you reside outside the Raleigh region and are unable or unwilling to relocate, consider other remote roles across the organization. Key Responsibilities
Lead a team of data scientists, providing mentorship, technical guidance, and professional development. Serve as a player‑coach, contributing hands‑on to modeling and solution design while guiding others to deliver complex AI projects. Act as a technical lead, supporting senior scientists in scoping and managing GNS data science initiatives aligned with platform and business strategy. Consult and enforce processes to rigorously evaluate AI model and system performance through experimentation, validation, and monitoring. Collaborate with senior scientists and engineering teams to design, build, and deploy robust ML and LLM‑based solutions for search, summarization, recommendations, and workflow automation. Lead the design and delivery of end‑to‑end ML pipelines, from data ingestion and feature engineering to deployment and ongoing monitoring. Establish and enforce technical standards in modeling, experimentation, reproducibility, and MLOps. Partner with product managers, data engineers, system architects, and domain experts to translate business goals into actionable data science deliverables. Communicate technical findings, trade‑offs, and recommendations effectively to both technical and non‑technical stakeholders. Collaborate across wider data science and platform teams to share best practices, reusable components, and frameworks that accelerate innovation across LexisNexis. Experience
5+ years of experience in data science, applied machine learning, or data engineering (NLP/LLM experience strongly preferred). 2+ years of experience leading or mentoring data scientists or engineers, with a proven record of successful project delivery. 2+ years of hands‑on experience with NLP tools and methods. Technical Skills
Advanced proficiency in Python and ML frameworks. Strong background in developing, tuning, and deploying NLP and LLM applications. Experience building scalable ML pipelines and moving solutions from research to production environments. Familiarity with cloud and containerized environments such as AWS, GCP, Azure, and Docker. Working knowledge of model monitoring and observability tools. Soft Skills & Leadership
Excellent stakeholder management, collaboration, and communication skills. Proven ability to bridge the gap between technical concepts and business outcomes. Strong organizational and problem‑solving skills with a strategic, analytical mindset. Bachelor’s degree in computer science, data science, statistics, or a related quantitative field. Advanced degree (master’s or Ph.D.) preferred. Preferred Qualifications
Familiarity with search, summarization, document understanding, or retrieval‑augmented generation (RAG) systems. Knowledge of responsible AI frameworks, model governance, and fairness evaluation. Contributions to open‑source ML/AI libraries. Benefits
Comprehensive, multi‑carrier health plan benefits Disability insurance Dependent care and commuter spending accounts Life and accident insurance Retirement benefits (salary investment plan/employer stock purchase plan) Modern family benefits, including adoption and surrogacy Working With Us
LexisNexis Legal & Professional is proud to be an equal‑opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Work‑Life Balance
We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees.
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Lead Data Scientist at LexisNexis – you will define and drive the technical strategy for high‑impact ML, NLP and LLM initiatives across Global Next‑Gen Solutions (GNS). You’ll lead teams in developing, deploying, and governing production‑grade AI systems that power LexisNexis products globally, delivering measurable impact for hundreds of thousands of users. Location
Expected to work in Raleigh, NC from the date of joining. If you reside outside the Raleigh region and are unable or unwilling to relocate, consider other remote roles across the organization. Key Responsibilities
Lead a team of data scientists, providing mentorship, technical guidance, and professional development. Serve as a player‑coach, contributing hands‑on to modeling and solution design while guiding others to deliver complex AI projects. Act as a technical lead, supporting senior scientists in scoping and managing GNS data science initiatives aligned with platform and business strategy. Consult and enforce processes to rigorously evaluate AI model and system performance through experimentation, validation, and monitoring. Collaborate with senior scientists and engineering teams to design, build, and deploy robust ML and LLM‑based solutions for search, summarization, recommendations, and workflow automation. Lead the design and delivery of end‑to‑end ML pipelines, from data ingestion and feature engineering to deployment and ongoing monitoring. Establish and enforce technical standards in modeling, experimentation, reproducibility, and MLOps. Partner with product managers, data engineers, system architects, and domain experts to translate business goals into actionable data science deliverables. Communicate technical findings, trade‑offs, and recommendations effectively to both technical and non‑technical stakeholders. Collaborate across wider data science and platform teams to share best practices, reusable components, and frameworks that accelerate innovation across LexisNexis. Experience
5+ years of experience in data science, applied machine learning, or data engineering (NLP/LLM experience strongly preferred). 2+ years of experience leading or mentoring data scientists or engineers, with a proven record of successful project delivery. 2+ years of hands‑on experience with NLP tools and methods. Technical Skills
Advanced proficiency in Python and ML frameworks. Strong background in developing, tuning, and deploying NLP and LLM applications. Experience building scalable ML pipelines and moving solutions from research to production environments. Familiarity with cloud and containerized environments such as AWS, GCP, Azure, and Docker. Working knowledge of model monitoring and observability tools. Soft Skills & Leadership
Excellent stakeholder management, collaboration, and communication skills. Proven ability to bridge the gap between technical concepts and business outcomes. Strong organizational and problem‑solving skills with a strategic, analytical mindset. Bachelor’s degree in computer science, data science, statistics, or a related quantitative field. Advanced degree (master’s or Ph.D.) preferred. Preferred Qualifications
Familiarity with search, summarization, document understanding, or retrieval‑augmented generation (RAG) systems. Knowledge of responsible AI frameworks, model governance, and fairness evaluation. Contributions to open‑source ML/AI libraries. Benefits
Comprehensive, multi‑carrier health plan benefits Disability insurance Dependent care and commuter spending accounts Life and accident insurance Retirement benefits (salary investment plan/employer stock purchase plan) Modern family benefits, including adoption and surrogacy Working With Us
LexisNexis Legal & Professional is proud to be an equal‑opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Work‑Life Balance
We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees.
#J-18808-Ljbffr