LexisNexis is looking to transform how legal professionals, corporations, and governments access insights, make decisions, and create impact through trusted data and intelligent technology by developing and deploying production-grade AI systems that power their global products.
Requirements
- 5+ years of experience in data science, applied machine learning, or data engineering (NLP/LLM experience strongly preferred).
- 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.
Responsibilities
- 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.
Other
- Must be willing to work in our Raleigh, NC location from the time of joining.
- 2+ years of experience leading or mentoring data scientists or engineers, with a proven record of successful project delivery.
- 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.
