Associate Data Scientist - User Fraud

soundhire.me

Toronto, Canada
On-site
Data science
Machine learning engineering
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.
  • We are a fast-paced team passionate about high-impact projects, and we prioritize continuous learning and skill development.

Matching Summary

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

Skills & Requirements

Must-have

  • Data Science
  • Machine Learning Engineering
  • Abuse Detection
  • Data Analysis
  • Fraud Prevention

Nice-to-have

  • Continuous Learning
  • Skill Development
  • Data-Driven Approach
  • High-Impact Projects

Key Requirements

  • Data Scientist role
  • User Fraud focus

Work Rights

Not specified

Tailored Resume

Cover Letter