Threat Analyst – Trust & Safety

  • Individual Contributor
  • TSPA Members
  • Mountain View, CA, USA
  • Experience level: 5+ years

Website TikTok

This content was reproduced from the employer’s website on June 27, 2021. Please visit their website below for the most up-to-date information about this position.

Responsibilities
As a threat analyst/researcher on our Trust & Safety team you will work alongside multiple teams to bring and action on analysis of platform threats. You will work cross-functionally with product managers, program managers, operations, policy, and communications teams; to find gaps in current threat response processes such as detection and mitigation. You will be part of a team of global experts that not only respond to bad actors, but proactively search and identify coming threats building scalable protections to keep them out.
 
Core responsibilities:
  • Find and remove bad actors and content by performing large scale analysis (querying and analyzing data) focused on identifying communicative and social behaviors on the platform.
  • Build sustainable processes of removal, identifying signals and building models around them.
  • Drive improvements and projects working closely with cross-functional partners (content policy, product management, data analytics, operations, engineering, algorithm, PR, Legal, Government Relations) to identify, assess and resolve safety-related issues dealing with elections integrity and global platform integrity.
  • Influence product development and working with product engineering to implement necessary changes for effective abuse fighting.
Qualifications
  • Preferred MA or PhD in Computer Science, Data Science, Econometrics, Mathematics, Information Science, Criminology, Cyber Security, or similar.
  • 5+ years of experience in related field, such as Trust and Safety, Fraud, Integrity or Cyber Security. 
  • Strong and proven data analysis skills
  • SQL
  • Python or similar scripting languages
  • Statistical analysis (multivariate analysis of variance, correlation/regression, etc.)
  • Network analysis
  • An understanding of online deceptive and manipulative behavior.
  • Familiar with academic and industry research.

To apply for this job please visit careers.tiktok.com.