2 days ago

Data Scientist, Transparency & Observability - Trust and Safety

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Use data science to build scalable metrics, monitoring, and analytical solutions that improve Trust & Safety enforcement visibility. Design and develop measurement frameworks across products and content types, create dashboards and anomaly detection for early issue detection, and strengthen data quality through root-cause analysis. Partner with Product, Engineering, Policy, Operations, and Data to advance observability and transparency reporting, including AI-powered monitoring and model performance insights.

Location: Dublin

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and develop Trust & Safety metrics to measure enforcement across products and content types.
•Build dashboards and monitoring solutions that provide actionable insights into platform safety.
•Develop automated anomaly detection and alerting to identify data or operational issues early.
•Investigate data issues, identify root causes, and improve data quality processes while partnering with engineering on reliability and governance.
•Collaborate cross-functionally to support transparency reporting and observability roadmaps, including exploring AI-powered monitoring for model performance and impact.

Key Requirements

•5+ years of experience in Data Science, Data Analytics, Data Engineering, or a related quantitative field.
•Strong SQL skills and experience with large-scale data platforms such as Hive and Spark.
•Proficiency in Python or R.
•Experience building data quality monitoring, reporting, or observability solutions and designing metrics with dashboards or reporting tools.
•Bachelor’s degree or above in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Engineering, or Economics).

Experience:Trust & safetyContent moderationRisk managementRegulatory reporting

Education:Bachelor's

Skills:Analytical thinkingProblem-solvingClear communication

Tech Stack:SQLHiveSparkPythonRDashboardsAnomaly detectionTime-series analysisExperimentationCausal inference

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

Website LinkedIn

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TikTok

2 days ago

Data Scientist, Transparency & Observability - Trust and Safety

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Dublin

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design and develop Trust & Safety metrics to measure enforcement across products and content types.
•Build dashboards and monitoring solutions that provide actionable insights into platform safety.
•Develop automated anomaly detection and alerting to identify data or operational issues early.
•Investigate data issues, identify root causes, and improve data quality processes while partnering with engineering on reliability and governance.
•Collaborate cross-functionally to support transparency reporting and observability roadmaps, including exploring AI-powered monitoring for model performance and impact.

Key Requirements

•5+ years of experience in Data Science, Data Analytics, Data Engineering, or a related quantitative field.
•Strong SQL skills and experience with large-scale data platforms such as Hive and Spark.
•Proficiency in Python or R.
•Experience building data quality monitoring, reporting, or observability solutions and designing metrics with dashboards or reporting tools.
•Bachelor’s degree or above in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Engineering, or Economics).

Experience:Trust & safetyContent moderationRisk managementRegulatory reporting

Education:Bachelor's

Skills:Analytical thinkingProblem-solvingClear communication

Tech Stack:SQLHiveSparkPythonRDashboardsAnomaly detectionTime-series analysisExperimentationCausal inference

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn