- Design, optimize, and maintain SQL queries in Snowflake to build datasets and support reporting.
- Develop and maintain production-quality Python scripts for data transformation, pipeline automation, and validation.
- Curate evaluation datasets and create benchmarking frameworks to measure model performance.
- Conduct exploratory analysis and data profiling to identify and resolve data quality issues.
- Support Product Managers and Data Scientists with model development, experimentation, and root-cause investigations.
- Document methodologies and findings to ensure reproducibility and clarity.
- Support the development and evaluation of ML and AI-powered data pipelines.