Data Scientist, Supply Chain and Operations, Google Cloud

Responsibilities

• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
• Serve as Large Language Models (LLM)/Generative AI (GenAI) modeling subject-matter-expert across Cloud Supply Chain Operations organization.
• Research and apply latest GenAI technologies on supply chain and operations use cases and problems.
• Develop other machine learning, statistical, and optimization models to improve supply chain and operations efficiency. Most of our (non-LLM) modeling needs are on forecasting and classification.
• Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.