Senior Data Scientist, Global Data Analytics for Internal Audit Function - AMS
Core
Build data products and analytics frameworks to enable continuous auditing, risk identification, and control testing across e-commerce, ads, trust & safety, payments, and infrastructure domains.
Role type
Senior IC data scientist (audit analytics & data engineering)
Builds
Audit-ready data warehouses, ETL pipelines, reusable analytics frameworks, and dashboards for risk monitoring
Domain
Internal Audit / Risk Management / Data Engineering
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python or R, ETL pipeline development, data warehousing, data quality checks, statistical analysis, anomaly detection, data lineage mapping, risk indicator definition
Preferred skills
Hadoop, Flink, MapReduce, dimensional modeling, federated data environment experience, data storytelling
Technologies
AWS, GCP, Azure, Snowflake, Hadoop, Flink, MapReduce
Responsibilities
Design data-driven testing strategies for audits; translate audit objectives into scalable analytical tests; build and maintain audit-ready data warehouses; develop ETL pipelines and dashboards for ongoing control monitoring; identify anomalies and risk signals in user behavior and transaction data; enable self-service analytics for auditors; communicate complex findings to senior leadership
Seniority
Senior, hands-on IC
