- Document, report, and perform root-cause analysis of prediction issues end to end.
- Analyze ingested and system-generated data to identify and resolve anomalies and gaps.
- Surface patterns behind issues and propose improvements to QA processes or automation.
- Build reusable, scalable workflows for performance/accuracy reviews and data visualization using Python and SQL.
- Collaborate with Engineering and Data Science teams to implement system-level data fixes and model improvements.
- Provide data insights to Customer Operations and Marketing teams regarding accuracy, performance, and real-time events.
- Maintain and manage internal and customer-facing dashboards.
PythonSQLData Analysis+3 more