Data Scientist II

Machine Learning & Data Science:

• Develop, evaluate, and deploy predictive and generative models for real production use cases
• Perform feature engineering and data preparation for modeling workflows
• Translate business and product questions into analytical solutions

Generative AI:

• Build and maintain LLM powered features and services
• Develop retrieval augmented generation (RAG) pipelines using embeddings and vector databases
• Integrate LLMs with APIs and internal tools using structured function calling

MLOps & Production Systems:

• Deploy and operate machine learning and GenAI models in production
• Build CI/CD pipelines for models and data workflows
• Monitor performance, data quality, and model drift