Associate Data Scientist - User Fraud

Spotify Spotify · Consumer · Toronto, ON · Platform

Data Scientist role focused on detecting and preventing user fraud and abuse across Spotify's audio verticals. The role involves analyzing data, investigating trends, and developing advanced methods to protect platform integrity and ensure fair engagement for users and creators.

What you'd actually do

  1. expand detection and mitigation methods against abuse across all audio verticals on our platform
  2. protecting the platform's integrity from issues like account abuse and artificial manipulation
  3. investigate anomalous trends
  4. discover new ways to leverage data for improved detection methods
  5. identify unwanted behavior on the platform

Skills

Required

  • data analysis
  • fraud detection
  • abuse detection
  • machine learning

Nice to have

  • Python
  • SQL
  • statistical modeling

What the JD emphasized

  • advanced technology
  • evolving strategies
  • data-driven approach
  • machine learning engineers
  • anomalous trends
  • improved detection methods
  • unwanted behavior

Other signals

  • fraud detection
  • abuse detection
  • account abuse
  • artificial manipulation
  • anomalous trends
  • unwanted behavior