Data Scientist (Platform Governance), TikTok E-Commerce

TikTok
Singapore
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: ["Stakeholder communication","Data storytelling","Root cause analysis"]

Build AI-driven governance for TikTok’s e-commerce ecosystem by mining seller and listing behaviors to detect abuse patterns and deploying rule- and risk-score strategies. Define core governance metrics and create dashboards with automated anomaly alerts. Continuously evaluate strategy precision/recall and perform rapid root-cause analysis when key metrics fluctuate, partnering with Operations and Policy teams to improve ecosystem health.

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FursaFursa
TikTok
TikTok
1 month ago

Data Scientist (Platform Governance), TikTok E-Commerce

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build AI-driven governance for TikTok’s e-commerce ecosystem by mining seller and listing behaviors to detect abuse patterns and deploying rule- and risk-score strategies. Define core governance metrics and create dashboards with automated anomaly alerts. Continuously evaluate strategy precision/recall and perform rapid root-cause analysis when key metrics fluctuate, partnering with Operations and Policy teams to improve ecosystem health.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Mine seller and listing behaviors to discover new abuse patterns and translate insights into executable governance strategies using rules, thresholds, and risk scores.
  • •Develop offline machine learning models (e.g., XGBoost, Random Forest, anomaly detection) and use clustering to uncover organized bad-actor syndicates.
  • •Define and standardize core Seller and Listing governance metrics and build/maintain dashboards to visualize risk trends and strategy performance.
  • •Design automated monitoring and alert systems to flag anomalies in data.
  • •Continuously track precision/recall, analyze false positives, and run rapid root-cause analysis when core metrics fluctuate.

Key Requirements

  • •Bachelor’s degree or above in computer science or a related field.
  • •Expert-level SQL to work with massive, complex datasets efficiently.
  • •Strong experience with BI/dashboarding tools (e.g., Tableau, PowerBI, Metabase) to design clear charts.
  • •Proficiency in Python (Pandas, Scikit-learn) with hands-on experience using tree-based models (XGBoost/LightGBM) and unsupervised learning (clustering).
  • •2+ years of experience in data science, analytics, or risk strategy, and the ability to explain trends to non-technical stakeholders.
Experience:2+ years
Education:Bachelor's in computer science
Skills:Stakeholder communicationData storytellingRoot cause analysis
Tech Stack:SQLPythonPandasScikit-learnTableauPowerBIMetabaseXGBoostRandom ForestLightGBMAnomaly DetectionClusteringRulesThresholdsRisk ScoresDashboardsPrecisionRecall

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