Data Scientist

Job Title: Data Scientist

Location: Wayne, IN 46809 (Hybrid)

Duration: 6-12 months contract

Position Summary

• We are seeking a highly skilled and motivated Data Scientist with a strong background in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
• The ideal candidate has direct experience applying AI within the utility, energy, or industrial sector.
• You will lead the design, development, and deployment of intelligent systems that translate unstructured operational data (technical manuals, maintenance logs, field reports) into actionable insights.

Key Responsibilities

Develop RAG Pipelines

Design and optimize Retrieval-Augmented Generation (RAG) models to enhance LLM-driven troubleshooting and field operations.

AI Model Development

Fine-tune and evaluate LLMs (e.g., GPT-4, Llama 3) for task-specific reasoning and accuracy.

Knowledge Integration

Build high-quality Python code to integrate vector databases (e.g., Pinecone, Milvus, Weaviate) to store and retrieve technical utility documents efficiently.

Operational Intelligence

Apply LLM solutions to analyze unstructured utility data, such as asset management logs, SCADA alerts, and maintenance records.

Deployment

Work with software engineers to deploy and scale models in cloud environments (Azure/AWS).

Collaboration

Work cross-functionally with field operations, engineering teams, and stakeholders to understand data needs and deliver solutions.

Required Qualifications

Experience

Professional experience in Data Science/Machine Learning, with at least 1 year focusing specifically on LLMs and Generative AI.

Technical Skills

Advanced proficiency in Python (PyTorch/TensorFlow, LangChain, LlamaIndex) and SQL.

Domain Knowledge

Proven experience in the utility, energy, oil & gas, or heavy industrial sectors.

RAG Expertise

Hands-on experience with vector embeddings, semantic search, and prompt engineering.