Senior Data Scientist, Global Data Analytics for Internal Audit Function - AMS
New York, United States
USD 95K-146K (estimate) Senior-level Full Time
Tasks
- Analyze user behavior monetization flows content or transaction lifecycles and system events
- Apply statistical methods anomaly detection and machine learning for risk signal detection
- Build and maintain ETL pipelines reusable analytics frameworks and dashboards
- Communicate analytical findings to technical and non-technical audiences
- Define and monitor key risk indicators and risk aligned metrics
- Design build and maintain audit ready data warehouses or data marts
- Design data-driven testing strategies for audits
- Develop complex SQL queries and analytical logic
- Develop data inventory and lineage for audit critical data assets
- Enable self service analytics for auditors through dashboards and documentation
- Identify anomalies trends and risk signals
- Implement data quality checks reconciliation logic and monitoring
- Map relationships between business processes 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 | Anomaly Detection | Azure | Dashboards | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Warehousing | Data inventory | Dimensional Modeling | ETL | Flink | GCP | Hadoop | Machine Learning | MapReduce | Python | R | SQL | Snowflake | Statistical Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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