Data Scientist, Trust & Safety
Singapore, Singapore
About the Team
As a Data Scientist in TikTok's Trust and Safety team, you will be instrumental in ensuring that TikTok remains a safe, trustworthy, and risk-free environment. By implementing your domain knowledge, you will help diagnose, triage, and treat large-scale safety issues. You will scope out projects, use ground-truth data to inform strategies, and use data and insights to form best-in-class heuristics to proactively detect and disarm safety incidents. You will partner with a variety of stakeholders across the product, operations, policy, and engineering teams - both locally and globally.
Responsibilities
- Drive business development both short-term and long-term through in-depth business analysis, industry studies and the study of market trends;
- Refine and upgrade the content safety system for globalised products, build data solutions to aid the management of a large-scaled operation team;
- Utilise a comprehensive understanding of content safety and develop strategies through various operational data analysis, empowering scenarios such as resource allocation, cost management, personnel management, output efficiency management, and output quality management. In addition, abstract reusable analytical methodologies and tools;
- Collaborate closely with the global Trust and Safety team, proactively providing insights and recommendations, driving the implementation of data analysis value, and overseeing the macro direction of the business.
As a Data Scientist in TikTok's Trust and Safety team, you will be instrumental in ensuring that TikTok remains a safe, trustworthy, and risk-free environment. By implementing your domain knowledge, you will help diagnose, triage, and treat large-scale safety issues. You will scope out projects, use ground-truth data to inform strategies, and use data and insights to form best-in-class heuristics to proactively detect and disarm safety incidents. You will partner with a variety of stakeholders across the product, operations, policy, and engineering teams - both locally and globally.
Responsibilities
- Drive business development both short-term and long-term through in-depth business analysis, industry studies and the study of market trends;
- Refine and upgrade the content safety system for globalised products, build data solutions to aid the management of a large-scaled operation team;
- Utilise a comprehensive understanding of content safety and develop strategies through various operational data analysis, empowering scenarios such as resource allocation, cost management, personnel management, output efficiency management, and output quality management. In addition, abstract reusable analytical methodologies and tools;
- Collaborate closely with the global Trust and Safety team, proactively providing insights and recommendations, driving the implementation of data analysis value, and overseeing the macro direction of the business.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Data Science Jobs
Tags: Data analysis Engineering
Region:
Asia/Pacific
Country:
Singapore
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