Implement and maintain data quality metrics.
Design dashboards and automated checks to track data quality using Python, SQL, Streamlit, Dataiku.
Detect and alert on anomalies in model outputs and data.
Perform root-cause analysis on data quality issues.
Support continuous Cargo Models improvement with quality feedback.
Collaborate with crew and stakeholders on model evaluation.

🎯 Requirements

3+ years in data analysis, data quality, analytics or data science.
Experience with large, complex datasets and analytical pipelines.
Experience evaluating or monitoring model outputs in production.
Strong SQL and Python skills for data analysis and validation.
Designed and implemented data quality metrics and automated monitoring.
Familiar with BI tools and fluent in English.

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