Overview In this role you apply advanced data science, ML, and AI to transform how CELA professionals capture knowledge, manage work, and respond to regulatory changes. You will build AI-enabled knowledge-management capabilities and support continuous regulatory intelligence, partnering with legal, policy, and engineering teams. The work emphasizes responsible, secure, and auditable AI with a strong focus on impact and governance. You'll translate ambiguous problems into actionable plans and deliver measurable improvements.
Responsibilities- Own complex data science engagements by translating ambiguous problems into objectives, plans, success criteria, and roadmaps
- Acquire and prepare structured and unstructured data from diverse sources while flagging data-quality, privacy, security, bias, and ethical risks
- Design, develop, and evaluate ML and AI approaches for classification, retrieval, summarization, drafting, and regulatory monitoring
- Write production-quality analysis and code, prototype scalable solutions, and collaborate with engineering on deployment and maintenance
- Define evaluation metrics and human-review workflows linking technical performance to business value and legal judgment
- Build partnerships with legal, policy, research, product, and engineering teams; mentor colleagues; promote responsible AI practices
Key requirements- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, OR CS with 1+ years of data-science experience OR
- Master's in the same fields with 3+ years of data-science experience OR
- Bachelor's in the same fields with 5+ years of data-science experience OR
- equivalent experience
- strong collaboration across legal, policy, research, product, and engineering
- clear storytelling and visualization to influence decisions
- mentorship and guidance to less experienced practitioners
- statistical analysis, experimentation, and method selection
- machine learning and AI, including NLP, LLMs, retrieval
- data management for structured and unstructured data
