Data Scientist, Operations & Trust Safety

TikTok Pte. Ltd.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading social media platform is seeking a skilled Data Scientist for its Trust and Safety team in Singapore. This role involves leveraging data analysis to enhance safety measures and working closely with global teams on data-driven strategies. Candidates should have a bachelor's degree in mathematics or statistics, 3-5 years of relevant experience, and proficiency in tools like SQL and Python. The position benefits from a dynamic environment, making it ideal for professionals eager to tackle industry challenges.

Qualifications

• 3-5 years of data scientist experience with understanding of Operations or Quality Management.
• Proficient in statistical and data mining theories.
• Experience in collaborating with cross-functional teams.

Responsibilities

• Drive business development through in-depth analysis and market trends study.
• Refine content safety systems and build data solutions.
• Develop strategies through operational data analysis.

Skills

Data analysis

Statistical analysis

SQL

Python

R

Excel

Tableau

Education

Bachelor's degree in mathematics or statistics

Job description

Responsibilities

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.

• 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.
• 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.

Qualifications

Minimum Qualifications

• Bachelor's degree or above, preferably in mathematics or statistics-related majors, with a solid foundation in statistical and data mining theories.
• Proficient in data analysis and statistical analysis tools such as SQL, Python, R, Excel, and Tableau.
• 3-5 years of data scientist experience, with a deep understanding of Operations or Quality Management in globalised products.
• Experience collaborating with cross-functional and global teams, communicating across effectively and efficiently.

Preferred Qualifications

• Acute ability to grasp company product-related industry technology development trends, and possess strong macro analysis and decision-making capabilities.
• Experience in platform content safety and large-scale outsourcing team data operations and coordination is preferred.
• Your ability to work in a high tempo environment, adapt, respond to day-to-day challenges of the role.
• Your resilience and commitment to self-care to manage the emotional demands of the role.