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Salary: USD 160,000 - 200,000 / annual
Discord is seeking a Data Scientist to join the Client Platform Data Science team. You'll work across the full analytics lifecycle—from exploratory analysis to dashboarding, reporting, and A/B testing—partnering with teams that design, build, and support Discord's mobile and desktop platforms. Your focus will be on improving app performance, enhancing user experience, and driving growth through better metrics, monitoring, and automation.
Key responsibilities include:
- Partner with teams throughout Discord on analytics projects, from initial exploration through dashboards and A/B testing
- Define KPIs and diagnostic metrics that improve user experience; build dashboards to make them actionable and timely
- Build custom datasets to monitor novel product features and processes
- Share insights with both technical and non-technical audiences, iterating 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 instrumentation and self-serve tooling
Discord has millions of daily active users, with 90% playing games and spending over 5 billion hours monthly across thousands of titles. The role sits at the intersection of product, engineering, and data, with opportunities to impact reliability and user experience at scale.
REQUIREMENTS:
- 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 ability to make complex findings easy to understand
- Curiosity, collaborative attitude, and drive to solve hard problems
BONUS:
- 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
