Principal Data Scientist, Digital & AI

Key Duties and Responsibilities Collaborate with data scientists, engineers, strategists, and cross‑functional partners to design, deploy, and evaluate generative AI/NLP/ML solutions to solve business problems. Design and execute impact measurement plans (e.g., A/B tests). Lead quantitative assessment and insight generation for the enterprise document ecosystem. Develop insights on enterprise adoption of generative AI tools (e.g., custom agents). Build and deliver data visualizations and outputs for technical and non‑technical audiences. Stay current with data science methodology/software/data development. Minimum Qualifications BS/MS/PhD in a computational/quantitative field (e.g., data science, statistics, CS, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics). 5+ years data science (industry/academic); 2+ years integrating generative AI into document solutions (generation, summarization, QC). Proficiency in Python/R/SQL/JavaScript; version control; tools such as Snowflake/Databricks/Azure/Foundry/dbt. NLP/text‑product experience (text mining, embeddings, transformer models). LLM prompt engineering; RAG and multi‑agent architectures. ML/statistics experience (classification, regression, clustering, deep learning, time‑series, networks, hypothesis testing). Exceptional communication and data visualization skills; strong data ethics. Preferred Qualifications 4+ years GenAI data science; familiarity with LLMOps (deployment/monitoring/maintenance); GenAI UX/UI testing; experience with clinical/real‑world data or life sciences/healthcare. Benefits/Pay (if applicable) $152,000–$228,000; annual bonus/equity; medical/dental/vision; paid time off; education assistance; commuting subsidy; 401(k). Application Instructions Contact Talent Acquisition at View email address on click.appcast.io for application accommodation. #J-18808-Ljbffr