Protect users as a Data Analyst working on user fraud detection. Collaborate with a talented team to refine data strategies across audio services for enhanced platform integrity.
This role focuses on analyzing user behaviors to develop advanced detection mechanisms against fraudulent actions. You’ll have the chance to directly impact content integrity by working alongside data scientists and machine learning engineers. Embrace a dynamic, learning-driven environment where you can continuously enhance your skills and methodologies.
Key Responsibilities:
• Investigate user consumption patterns for fraud
• Employ data analysis to diagnose business issues
• Build infrastructure for swift data exploration
• Collaborate with engineers and product teams
• Engage with a variety of audio-related stakeholders
Requirements:
• Bachelor's degree in a quantitative discipline
• 1+ years in data analysis with a fraud focus
• Deep SQL and Python skills required
• Prof...