Associate Data Scientist - User Fraud

Lifeatspotify

Toronto, Canada
On-site
Data science
Machine learning
Abuse detection methods
You’ll help us expand detection and mitigation methods against abuse across all audio verticals on our platform

Job Summary

  • You’ll help us expand detection and mitigation methods against abuse across all audio verticals on our platform.
  • Your work will directly impact how billions of fans connect with millions of artists and creators, and how the world experiences content.
  • We are a fast-paced team passionate about high-impact projects, and we prioritize continuous learning and skill development.

Matching Summary

You’ll help us expand detection and mitigation methods against abuse across all audio verticals on our platform.

Skills & Requirements

Must-have

  • Data science
  • Machine learning
  • Abuse detection methods
  • Data-driven approach
  • Platform integrity

Nice-to-have

  • Evolving strategies
  • Continuous learning
  • Skill development
  • Investigating anomalous trends
  • Leveraging data for detection

Key Requirements

  • Data Scientist role
  • User fraud experience

Work Rights

Not specified

Tailored Resume

Cover Letter