Senior Data Scientist, Global Data Analytics for Internal Audit Function - AMS

We are looking for a Senior Data Scientist to power our Internal Audit mission by building data products that enable and empower continuous auditing and the identification and discovery of risks throughout various business domains.

Requirements

• Partner with Internal Audit teams to design data-driven testing strategies
• Translate audit objectives, risk hypotheses, and control designs into scalable analytical tests, metrics, and models
• Provide hands-on analytics support for audit engagements
• Define and monitor key risk indicators (KRIs) and risk-aligned metrics
• Analyze user behavior, monetization flows, content or transaction lifecycles, and system events to identify emerging or systemic risks
• Bridge traditional audit concepts with modern data and product to surface insights not discoverable through manual testing
• Data inventory and lineage: Develop a deep understanding of the company's data ecosystem
• Design, build, and maintain audit-ready data warehouses or data marts across multiple business verticals
• Contribute to the Internal Audit continuous auditing strategy, identifying opportunities to automate recurring audit procedures and control testing
• Build and maintain ETL pipelines, reusable analytics frameworks, and dashboards
• Leverage statistical methods, anomaly detection, or machine learning to enhance risk signal detection—while ensuring interpretability and auditability
• Data Enablement & Analytics Democratization: systematically map relationships between business processes, risks, controls, and data to create reusable analytics assets
• Develop and maintain collaborative working relationships with stakeholders, including data partners and owners across different business verticals
• Communicate complex analytical findings clearly to both technical and non-technical audiences, including senior leadership
• Continue to develop and expand knowledge in data analytics practices, machine learning, AI, and company products through continuous education