Senior Data Scientist Manager - Games Product and Platform

Netflix Netflix · Big Tech · CA · Remote · Data & Insights

Lead a team of Data Scientists and Analytics Engineers to provide data strategy, measurement, and experimentation for Games Product and Platform teams at Netflix. Focus on improving business aspects through data, analytics, causal inference, and ML. Requires strong leadership, business acumen, and experience managing technical teams.

What you'd actually do

  1. You will enable the measurement, analytics and experimentation strategy for Games specific discovery features Players on Netflix interact with games specific surfaces to discover and engage with games content and the larger games ecosystem. You will both drive experimentation for games specific features, as well as collaborate with our member team on shared surface experiments.
  2. You will enable the measurement, analytics and experimentation strategy for Games Platform features As the Netflix Games platform expands, you will work directly with Product Managers as they build out game-adjacent features (Leaderboards, Achievements, Social etc) to track and measure their evolution.
  3. You will own the information flow of critical backend platform data Our internal development teams rely on device, crash and meta information on the performance of our services
  4. You will coach and inspire a high-performing team. You'll provide guidance and mentorship, ensuring the team's work is scalable, consistent, and delivers high-impact insights that shape our games portfolio.

Skills

Required

  • building, managing, growing, and inspiring data science and analytics teams
  • data science
  • analytics engineering
  • business analytics
  • standardization
  • scalability
  • systematic frameworks
  • business acumen
  • influencing senior leaders
  • interpersonal and communication skills
  • comfortable with ambiguity
  • Ph.D. or advanced degree in Economics, Statistics, Mathematics, Business Analytics, or related field

What the JD emphasized

  • 10+ years of experience managing highly technical individual contributors
  • deep understanding of data science, analytics engineering, and business analytics
  • exceptional business acumen
  • ability to effectively influence senior leaders