Lead Data Scientist

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.

· 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