Data Scientist

Partners with the Data Engineering and Agentic AI streams to develop and validate the data science/ML components feeding into the client's AI use cases.

Responsibilities:

• Develop and validate models/analyses on the Databricks platform supporting prioritized use cases.
• Partner with the AI Architect and AI Engineers to ensure data science outputs integrate cleanly into agentic workflows.
• Evaluate data quality and feature readiness for AI/ML consumption.
• Present findings and recommendations to client stakeholders as needed.

Requirements:

• Strong data science background with hands-on Databricks/Spark ML experience.
• Proficiency in Python, statistical modeling, and ML frameworks.
• Ability to translate business use cases into data science approaches.