Lead Data Scientist

Job Description Join a cutting-edge AI Platform team as a Lead Data Scientist in a 6-month remote contract-to-hire opportunity. You'll provide technical leadership while driving the development of enterprise-scale AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, NLP, machine learning, and distributed AI architectures to support complex research, document intelligence, and workflow automation systems. This is a highly visible opportunity for someone who wants to shape the future of enterprise AI. You'll help define AI strategy, lead the design of next-generation intelligent systems, and partner across engineering, product, and business teams to bring advanced AI capabilities into production. Contract Duration: 6 Months (Contract-to-Hire) Required Skills & Experience • Bachelor's degree required; Master's degree preferred • 8+ years of experience in Data Science, Machine Learning, Applied AI, or related fields • Strong experience with Large Language Models (LLMs) and Generative AI applications • Hands-on experience designing and deploying Retrieval-Augmented Generation (RAG) systems • Expertise in machine learning, NLP, and information retrieval techniques • Experience building and deploying production AI/ML systems at scale • Strong Python programming skills • Experience working with distributed systems and cloud-based AI environments • Deep understanding of agentic AI architectures and autonomous workflows • Proven ability to lead technical initiatives and influence AI strategy • Excellent communication, stakeholder management, and problem-solving skills Desired Skills & Experience • Experience leading enterprise-scale AI platform initiatives • Familiarity with vector databases and semantic search technologies • Knowledge of legal, regulatory, or document-intensive data environments • Experience with model evaluation, monitoring, governance, and optimization • Exposure to workflow automation and intelligent agent frameworks • Experience mentoring Data Scientists and Machine Learning Engineers • Advanced degree in Data Science, Computer Science, Machine Learning, or a related field What You Will Be Doing Tech Breakdown • 40% LLMs, RAG, and Generative AI • 25% Machine Learning & NLP • 20% Agentic AI & Intelligent Automation • 15% Technical Leadership & AI Strategy Daily Responsibilities • 65% Hands On • 15% Leadership & Mentorship • 20% Team Collaboration You'll lead the design and deployment of advanced AI systems, establish best practices for AI development, mentor team members, collaborate with leadership on AI strategy, and drive the adoption of LLMs, RAG, and agentic AI technologies across enterprise-scale platforms. Posted By: Sarah Carroll