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TikTok

Short-form video platform with ads

Lead Data Scientist - Transparency & Observability, Trust and Safety

Data Management +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • At least 5 years of experience in Data Science, Data Engineering, Data Architecture, Analytics, or a related quantitative field, including technical leadership of cross-team initiatives.
  • A track record of designing scalable data ecosystems, including data modeling, governed analytics layers, and production pipelines on large-scale platforms such as Hive or Spark.
  • Strong SQL and Python skills.
  • Experience building data quality, monitoring, or observability solutions, and designing metrics frameworks used across organizations.
  • A solid understanding of AI architecture patterns such as retrieval-augmented generation, embeddings, and knowledge systems, and responsible AI practices applied to operational workflows.
  • Ability to translate ambiguous business problems into technical strategy and influence technical and non-technical stakeholders, including leadership.
  • A bachelor's degree or higher in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, or Economics.

Responsibilities

  • Establish the Transparency & Observability architecture for Trust & Safety, covering metrics, data pipelines, monitoring, and reporting.
  • Design end-to-end observability for the enforcement lifecycle, from detection and review to actions and outcomes, so every enforcement decision can be traced, measured, and explained.
  • Set standards for metric definitions, anomaly detection, and alerting, and ensure Trust & Safety reports one consistent view of its enforcement.
  • Set up data quality, lineage, and governance practices, including service-level agreements, validation, reconciliation, and documentation, so Trust & Safety data is accurate, timely, and audit-ready for regulatory reporting.
  • Design and oversee extract, transform, and load pipelines and workflow orchestration that turn scattered inputs into reliable, well-documented data products.
  • Build data systems designed for agent consumption across Trust & Safety, covering canonical data models, semantic layers, intelligent workflows, and evaluations.
  • Partner with Product, Engineering, Policy, Operations, Legal, and Communications to identify high-impact opportunities where AI and data can improve operational efficiency and safety outcomes, and take solutions from experimentation to reliable production.
  • Own the long-term technical roadmap for Trust & Safety observability and AI readiness, and lead the program and change management needed to implement it across teams.
  • Create reusable architecture principles, reference architectures, and best practices for responsible, explainable AI adoption across Trust & Safety teams, and mentor data scientists and engineers in applying them.

Desired Qualifications

  • Experience in Trust & Safety, regulatory reporting, or compliance domains.
  • Familiarity with transparency and regulatory requirements such as the EU Digital Services Act and similar global frameworks.
  • Experience driving program and change management across global, cross-functional teams.

About the Company

TikTok

Short-form video platform with ads

TikTok is a short-form mobile video platform that lets people create, discover, and share quick videos. Users upload vertical clips, edit them with built-in tools, and browse a personalized feed powered by an algorithm that highlights relevant content. Advertisers can use in-feed ads, branded hashtags, and the Business Center to plan and measure campaigns, making it easy for brands to reach a global audience. Its goal is to inspire creativity and bring joy by helping people express themselves and by connecting brands with a wide audience.

Company size
10,001+
Company stage
Grant
Total funding
$740K
Headquarters
Santa Monica, CA
Founded
2016

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