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

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Stakeholder management","Data storytelling","Communication","Ability to translate ambiguous questions","Knowledge sharing"]

Build state-of-the-art analytics products that enable continuous auditing and help identify risks across business domains spanning product and technology. Partner with Internal Audit to design data-driven testing strategies, translate risk hypotheses into scalable analytical tests, and monitor KRIs embedded in operational and product data. Own audit-ready data foundations—ETL pipelines, data marts, data quality checks, and dashboards—while applying statistical methods and machine learning for interpretable anomaly detection. Enable self-service analytics for auditors and communicate insights to technical and non-technical stakeholders.

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FursaFursa
TikTok
TikTok
1 month ago

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

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Job Summary

Build state-of-the-art analytics products that enable continuous auditing and help identify risks across business domains spanning product and technology. Partner with Internal Audit to design data-driven testing strategies, translate risk hypotheses into scalable analytical tests, and monitor KRIs embedded in operational and product data. Own audit-ready data foundations—ETL pipelines, data marts, data quality checks, and dashboards—while applying statistical methods and machine learning for interpretable anomaly detection. Enable self-service analytics for auditors and communicate insights to technical and non-technical stakeholders.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with Internal Audit teams to design data-driven testing strategies across multiple audit domains.
  • •Translate audit objectives, risk hypotheses, and control designs into scalable analytical tests, metrics, and models.
  • •Develop analytics support for engagements, including understanding workflows, conducting stakeholder interviews, building queries, and performing data completeness/accuracy/integrity testing.
  • •Design and maintain audit-ready data foundations (data warehouses/data marts), including data quality checks, reconciliation logic, and monitoring.
  • •Build ETL pipelines, reusable analytics frameworks, dashboards, and KRIs, leveraging statistical methods or machine learning where appropriate for interpretable risk-signal detection.

Key Requirements

  • •Bachelor’s degree or above in a quantitative discipline (Math, Statistics, Computer Science, etc.).
  • •Strong proficiency in SQL and at least one programming language (Python or R).
  • •5+ years of hands-on experience in data analytics, data science, analytics engineering, or data engineering.
  • •Experience building and maintaining data products for domains like product/marketing analytics, risk/compliance analytics, or continuous audit analytics.
  • •Solid ETL and large-scale data processing experience using cloud/data warehouse infrastructure (e.g., AWS, GCP, Azure, Snowflake), plus data quality/observability.
Experience:5+ yearsData analyticsData scienceAnalytics engineeringData engineeringRisk analyticsContinuous auditData warehousingData observability
Education:Bachelor's
Skills:Stakeholder managementData storytellingCommunicationAbility to translate ambiguous questionsKnowledge sharing
Tech Stack:SQLPythonRETLAWSGCPAzureSnowflakeHadoopFlinkMapReduceData warehousingDimensional modelingMachine learningAnomaly detectionDashboardsData quality checksData reconciliationData observability

Company Brief

TikTok
Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn