Develop a detailed understanding of our database and algorithm, to understand inputs and outputs of our algorithm, and easily pull and validate data.
Test new features to ensure accurate new feature implementation
Help manage projects to ensure development, QA, and dashboards are completed on time and accurately
Design and maintain dashboards and KPIs using SQL, Databricks, and Looker to monitor algorithm effectiveness and business performance.
Conduct daily monitoring of metrics, identifying anomalies, diagnosing root causes, and implementing data-driven solutions.
Collaborate with Data Engineers and Software Developers to define new tables, optimize data models, and integrate ML-driven features into analytical workflows.
Leverage statistical analysis and A/B testing methodologies to size opportunities and evaluate personalization and food experience enhancements.
Automate key data validation and quality assurance processes to enhance efficiency and reliability.

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