Data Scientist - Python/Spark ML

Role Summary:

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.

Key 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.

Required Skills:

- 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.