Associate Data Scientist - User Fraud

Amoritan

Toronto, Canada
On-site
Data science
Machine learning
Abuse detection
Expand detection and mitigation methods against abuse across all audio verticals on our platform

Job Summary

  • Expand detection and mitigation methods against abuse across all audio verticals on our platform.
  • Contribute to our data-driven approach, protecting the platform's integrity from issues like account abuse and artificial manipulation.
  • You will have the freedom to refine your skills and working methods.

Matching Summary

Expand detection and mitigation methods against abuse across all audio verticals on our platform.

Skills & Requirements

Must-have

  • Data Science
  • Machine Learning
  • Abuse Detection
  • Anomaly Detection
  • Data Analysis

Nice-to-have

  • Continuous Learning
  • Skill Development
  • Data-driven Approach
  • Fast-paced Team

Key Requirements

  • Data Scientist Role
  • User Fraud Focus

Work Rights

Not specified

Tailored Resume

Cover Letter