Lead Data Scientist

LexisNexis-posted 4 days ago

Full-time • Mid Level

Onsite • Raleigh, NC

5,001-10,000 employees

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As Lead Data Scientist, you will help define and drive the technical strategy for high-impact machine learning (ML), natural language processing (NLP), and large language model (LLM) initiatives across 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. You will collaborate closely with product, engineering, and data platform partners to translate complex business challenges into scalable AI solutions, while fostering a culture of innovation, responsible AI, and technical excellence.

Lead a team of data scientists; provide 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 Data 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 Data 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 Data Science project leads to ensure seamless model integration into production environments, maintaining scalability, quality, and observability.
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 with across wider group of data science and platform teams to share best practices, reusable components, and frameworks that accelerate innovation across LexisNexis.

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
Advanced programming and modeling 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.
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.

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

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
Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

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