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

About The Team

Internal Audit is a global function responsible for providing independent assurance and evaluating the company's risk management, governance and internal control processes to determine if they are designed and operating effectively. The Internal Audit team plans and executes audit projects according to our risk-based audit plan by evaluating financial, compliance, operational, and IT processes and controls. We work with business functions in addressing risks and improving the control environment through timely and comprehensive audit work and tracking of remediation actions until completion.

Responsibilities

• Partner with Internal Audit teams to design data-driven testing strategies for audits spanning e-commerce, ads), trust & safety, platform integrity, payments, infrastructure and security.
• Translate audit objectives, risk hypotheses, and control designs into scalable analytical tests, metrics, and models.
• Provide hands-on analytics support for audit engagements, including:
• Understanding end-to-end business and product workflows
• Conducting stakeholder interviews and system walkthroughs
• Developing complex queries and analytical logic
• Performing population completeness, accuracy, and integrity testing
• Identifying anomalies, trends, and risk signals
• Defining and monitoring key risk indicators (KRIs) and risk-aligned metrics embedded within product and operational data
• Analyzing 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, including applications, event streams, operational databases, and data warehouses. Identify and maintain an inventory of critical data assets relevant to audit and risk use cases; assess data lineage, ownership, and reliability to support audit defensibility and repeatability.
• Data Warehousing and data foundations: Design, build, and maintain audit-ready data warehouses or data marts across multiple business verticals, ensuring performant, and well-modeled datasets. Implement robust data quality checks, reconciliation logic, and monitoring to ensure the completeness and accuracy of key datasets used for audit and risk analytics.
• 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 that enable: ongoing monitoring of control effectiveness; early detection of control breakdowns or abnormal patterns; scalable reuse across audit engagements and regions.
• Where appropriate, 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; enable self-service analytics for auditors by developing standardized datasets, documentation, and dashboards; upskill audit team members through knowledge sharing, training sessions, and practical guidance on using data effectively in audits.
• Stakeholder Relationships: 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.
• Professional Development: Continue to develop and expand knowledge in data analytics practices, machine learning, AI, and company products through continuous education.

Qualifications

• Bachelor's degree or above in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Financial Engineering, Operations Research, or Economics.
• Strong proficiency in SQL and at least one mainstream programming language (Python or R).
• 5+ years of hands-on experience in data analytics, data science, analytics engineering, or data engineering roles.
• Prominent experience building and maintaining data products in one or more of the following domains: Product analytics (user behavior, funnels, experiments, KPIs); Business or marketing analytics (growth, monetization, performance measurement); Risk analytics, compliance analytics, or continuous audit analytics.
• Solid understanding of ETL processes, data integration, and large-scale data processing, with cloud-based data infrastructure (e.g., AWS, GCP, Azure, Snowflake).
• Experience implementing data quality checks, reconciliations, or data observability solutions.
• Demonstrated ability to translate ambiguous business or risk questions into structured analytical approaches.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok Accommodation

We are committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request.