Data Scientist

Data Scientist
Work site: Houston, TX - onsite
Start date: Immediate availability.

Job Description:

- 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.