Lead Data Scientist

Job Title: Data Science Lead Location: Atlanta, GA (Hybrid) Experience Required: 15+ years in Data Science with 2+ years of AI/Generative AI experience Role Overview: The ideal candidate will lead the design, development, and delivery of scalable AI/ML solutions, drive AI strategy, and provide technical leadership across Data Science and Generative AI initiatives. The role requires strong experience building production-ready AI systems using LLMs, RAG pipelines, and enterprise AI architectures. Key Skills Required: ✅ 15+ years of Data Science experience ✅ 2+ years of hands-on Generative AI / LLM experience ✅ Strong Python programming and Data Science libraries ✅ Advanced RAG architecture design and optimization ✅ Prompt Engineering & LLM orchestration ✅ Experience with LLM ecosystems (OpenAI, Azure OpenAI, Anthropic, etc.) ✅ Vector Databases – Pinecone, FAISS, Weaviate, Milvus ✅ LangChain / LlamaIndex experience ✅ AWS AI/ML services (SageMaker, Textract, CloudWatch) ✅ Hands-on Databricks experience ✅ Machine Learning lifecycle management ✅ API architecture and enterprise AI integration ✅ Docker, Kubernetes, CI/CD exposure ✅ Strong Agile/Scrum delivery and stakeholder management experience Responsibilities Include: • Lead end-to-end AI/ML solution delivery from design through production deployment • Build Agentic AI solutions and scalable data pipelines • Design and optimize Advanced RAG pipelines for accuracy, performance, and cost • Develop LLM-based applications with prompt engineering, chaining, and tool integration • Lead EDA, statistical modeling, and data understanding across structured/unstructured data • Partner with engineering and business teams for enterprise AI adoption • Define AI strategy, roadmap, governance, and continuous improvement initiatives • Manage Agile delivery, sprint planning, backlog tracking, and execution using ADO or similar tools