Data Scientist - Client Platform
Position Summary & Responsibilities
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.
Discord is where millions of people hang out every day - 90% of them play games, spending over 5 billion hours across thousands of titles each month. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.
We’re looking for a Data Scientist to join our Client Platform Data Science team, where you’ll help make sure that Discord just works. You’ll partner with the teams that design, build, and support Discord - improving app performance, enhancing the user experience, and driving growth. Your work will span strategic analyses, experimentation, and dashboarding. 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.
If you’re passionate about data and want to make a real impact, we’d love to hear from you!
What you'll be doing
- Partner with teams throughout Discord through the full analytics lifecycle - from exploratory analyses to dashboards, reports, and A/B testing
- Define KPIs and diagnostic metrics that improve the user experience, and build dashboards to make them timely and actionable
- Build custom datasets to monitor novel product features and processes
- Share insights with technical and non-technical audiences, and iterate based on feedback
- Champion A/B testing best practices - helping teams design, analyze, and interpret experiments correctly
- Collaborate with data and engineering teams to design scalable and future-proof instrumentation and self-serve tooling
What you should have
- 2+ years of hands-on analytics experience turning ambiguous business problems into clear, actionable insights
- Experience designing, analyzing, and interpreting A/B tests at scale
- Strong SQL skills and experience building clean, performant dashboards (Tableau, Looker, or similar)
- Clear communication skills, with the
Key Role Competencies & Evaluation Highlights
Interviewers strictly test user-centric community empathy, high-concurrency systems design, and cultural alignment with a gamer-first ethos.
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