Senior Data Scientist

Role: Senior Data Scientist Location: Corpus Christi, TX (Hybrid – 3 days onsite) Position Overview We are looking for a highly experienced and driven Senior Data Scientist with deep expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures. The ideal candidate brings hands-on experience applying advanced AI solutions within the utilities, energy, or industrial sectors. In this role, you will lead the end-to-end design, development, and deployment of intelligent systems that transform unstructured operational data—such as technical manuals, maintenance logs, and field reports—into meaningful, actionable insights. Key Responsibilities RAG Pipeline Development: Architect, build, and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance LLM-powered troubleshooting and field support capabilities. AI Model Engineering: Fine-tune, validate, and benchmark LLMs (e.g., GPT-4, Llama 3) to improve domain-specific reasoning, accuracy, and performance. Knowledge System Integration: Develop robust Python-based solutions to integrate vector databases (e.g., Pinecone, Milvus, Weaviate) for efficient storage and retrieval of technical and operational documents. Operational Intelligence: Leverage LLM-driven approaches to extract insights from unstructured utility data, including asset management logs, SCADA alerts, and maintenance records. Cloud Deployment & Scalability: Partner with software engineering teams to deploy, monitor, and scale AI models within cloud platforms such as Azure and AWS. Cross-Functional Collaboration: Collaborate closely with field operations, engineering teams, and business stakeholders to understand operational challenges and deliver data-driven solutions. Required Qualifications Professional Experience: 15+ years of experience in Data Science and Machine Learning, including at least 1 year focused specifically on LLMs and Generative AI applications. Technical Expertise: Advanced proficiency in Python (PyTorch, TensorFlow, LangChain, LlamaIndex) and SQL. Industry Experience: Demonstrated experience within utilities, energy, oil & gas, or other heavy industrial environments. RAG & Semantic Search Expertise: Hands-on experience with vector embeddings, semantic retrieval, prompt engineering, and RAG-based architectures. Education: Master’s or Ph.D. in Computer Science, Data Science, Mathematics, or a related quantitative discipline. Location Requirement: Must reside in or be able to commute to the Corpus Christi, TX area.