Data Scientist, Platform Safety & Risk Analytics

TikTok; San Jose (CA); On-site; USD 137,000 - 277,000; Full time

Job summary

TikTok is seeking a data scientist to design and maintain core metrics for platform content safety and risk, applying advanced statistics to evaluate security policies. You will work with product, operations, R&D, and algorithm teams to translate insights into actionable improvements.

You will develop quantitative analysis systems, perform A/B tests and causal inference, and contribute to reusable data products and tools to empower business teams with better data services.

Qualifications

• 2+ years data science experience and Bachelor's degree or above in statistics, data science, economics, mathematics, or a related field
• Proficient in SQL, skilled in using data analysis tools such as Python/R, and possesses excellent visualization skills
• Familiar with common machine learning algorithm principles and understands methods such as causal inference and A/B testing
• Proficient in English as a working language

Responsibilities

• Design, build, and maintain core metrics systems related to platform content safety and risk, including but not limited to content violation, user report, and account risk identification.
• Apply rigorous statistical methods, including A/B testing, causal inference, regression analysis, and more, to evaluate the effectiveness of security policies.
• Develop quantitative analysis systems for specific business challenges and leverage data mining techniques to identify potential optimization opportunities.
• Continuously explore and summarize data analysis methodologies, create reusable analysis frameworks and tools to improve the overall analytical capabilities of the team.

Skills

SQL

Python

R

Statistics

Data visualization

English

Education

Bachelor's degree in statistics, data science, economics, mathematics, or related field

Tools

SQL

Python

R

Job description

TikTok is seeking a data scientist to design and maintain core metrics for platform content safety and risk, applying advanced statistics to evaluate security policies. You will work with product, operations, R&D, and algorithm teams to translate insights into actionable improvements.

You will develop quantitative analysis systems, perform A/B tests and causal inference, and contribute to reusable data products and tools to empower business teams with better data services.