Senior Data Scientist, Global Data Analytics for Internal Audit Function - AMS
San Jose, California, United States
USD 95K-146K (estimate) Senior-level Full Time
Tasks
- Analyze user behavior monetization and system events for risk detection
- Automate recurring audit procedures and control testing
- Build and maintain ETL pipelines and reusable analytics frameworks
- Create audit ready data warehouses and data marts
- Define and monitor key risk indicators and risk aligned metrics
- Design data-driven testing strategies for audits
- Develop complex SQL queries and analytical logic
- Develop dashboards for control effectiveness monitoring
- Enable self service analytics for auditors with datasets documentation and dashboards
- Identify anomalies trends and risk signals
- Implement data quality checks reconciliation logic and monitoring
- Leverage anomaly detection and machine learning for interpretable audit signals
- Map relationships between risks controls and data to create reusable analytics assets
- Perform data completeness accuracy and integrity testing
- Translate audit objectives into analytical tests metrics and models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Analytics engineering | Anomaly Detection | Azure | Cloud Computing | Dashboards | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Warehousing | Data inventory | Dimensional Modeling | ETL | Flink | GCP | Hadoop | Key Risk Indicators | Machine Learning | MapReduce | Python | R | Risk indicators | SQL | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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