Detect and respond to spam and abuse on LINE messaging services
Find abuse patterns and useful detection features through data analysis
Develop algorithms and ML models for abuse detection
What they want
Hold a statistics degree or equivalent professional background
Bring at least one year of hands-on data analysis experience
Have personally cleaned and prepared complex raw source data
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Nice to have
Bring experience analyzing fraudulent or abusive user behavior
Know anomaly detection or large-scale log and behavior data analysis
Have used Hive or Spark for distributed data processing
Seoulstart's read
Visa tier (likely)
E-7 specialty / professional (likely)
Korean language
Korean requirement not stated
English friendliness
Low: Korean-language workplace
Context
Bundang LINE Plus Aegis team; Korean posting with English or Japanese preferred,flexible hybrid including overseas remote possible.
This is Seoulstart's analysis of the public job description, not the employer's stated policy. Verify visa sponsorship, language requirements, and remote allowances directly with the recruiter.
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