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Data Scientist - Client Platform

discord· 29 open roles

Location TBD On-siteFull-time1 weeks ago
Salary
Undisclosed
Experience
Mid
Job Type
Full-time
Posted
1 weeks ago
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About This RoleAI processing…

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games.

Key Responsibilities

  • 1
    Partner with teams throughout Discord through the full analytics lifecycle - from exploratory analyses to dashboards, reports, and A/B testing
  • 2
    Define KPIs and diagnostic metrics that improve the user experience, and build dashboards to make them timely and actionable
  • 3
    Build custom datasets to monitor novel product features and processes
  • 4
    Share insights with technical and non-technical audiences, and iterate based on feedback
  • 5
    Champion A/B testing best practices - helping teams design, analyze, and interpret experiments correctly
  • 6
    Collaborate with data and engineering teams to design scalable and future-proof instrumentation and self-serve tooling

Requirements

  • Experience with performance/reliability analytics for online services
  • Familiarity with social or subscription products (social graphs, LTV, funnel analysis)
  • Specifically, we’re looking for someone who can help us take Discord’s mobile and desktop reliability to the next level through better metrics, monitoring, and automation.
  • We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

Perks & Benefits

Passion for Discord or online communities
Experience with performance/reliability analytics for online services
Familiarity with social or subscription products (social graphs, LTV, funnel analysis)
Production ETL or BigQuery experience
Experience using AI in data science work

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