Senior Data Scientist: Global Data Analytics - Internal Audit Innovation & Enablement

- Analyze user behavior monetization and transaction lifecycles for risks - Apply statistical methods anomaly detection and machine learning - Build ETL pipelines reusable analytics frameworks and dashboards - Build data inventory and assess data lineage ownership and reliability - Build data products for continuous auditing - Communicate analytical findings to technical and non-technical stakeholders - Define and monitor Key Risk Indicators - Design build and maintain audit ready data warehouses and data marts - Design data-driven testing strategies for audits - Develop complex SQL queries and analytical logic - Enable self-service analytics for auditors - Identify anomalies trends and risk signals - Implement data quality checks reconciliations and monitoring - Perform data completeness accuracy and integrity testing - Translate audit objectives into analytical tests metrics and models Perks/Benefits: - Knowledge sharing - Self service analytics enablement - Training sessions