Data Scientist

Work site: Houston, TX - onsite Start date: Immediate availability. As a Data Scientist, you will work within the Analytics team to develop models using Natural Language Processing along with many other techniques. Developing ML models that allow us to be prescriptive as opposed to reactive. Staying informed of next generation data and analytical tools. Converting ad hoc analyses into scalable solutions and tools that can be used on demand as self-serve. Helping reveal actionable insights for individuals within various business functions. Cleaning, prepping and verifying the integrity of data for analyses. Demonstrable knowledge of common coding languages (Python, SQL, R) with ability to learn new skills and apply skills in new environments. Experience in Developing and Deploying GenAI Solutions: Building and fine-tuning generative AI/LLM solutions using AWS Bedrock and available foundation models like Claude, Llama, and Titan. Building ML Workflows: Leveraging a wide range of AWS services (S3, Lambda, SageMaker, API Gateway, etc.) to build end-to-end machine learning workflows. Implementing RAG Architectures: Designing and building Retrieval Augmented Generation (RAG) pipelines and developing custom embeddings and vector search solutions. Prompt Engineering and Optimization: Creating effective prompt engineering strategies, evaluation frameworks, and model optimization techniques. Collaboration: Working with cross-functional teams, including data engineers and software engineers, to integrate AI applications into existing systems and translate business problems into scalable AI solutions. Monitoring and Governance: Ensuring data quality, security, and compliance, and setting up monitoring and governance for production-ready AI applications.