• 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

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

• 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

In addition, job duties require access to secure and protected client information technology systems and related data security obligations

Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information

• The pay range that the employer in good faith reasonably expects to pay for this position is $53.16/hour - $83.07/hour

Our benefits include medical, dental, vision and retirement benefits