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Data Scientist (Client Platform)

Exclusive opportunity

Onsite

Data Scientist (Client Platform)

Discord

Data Scientist (Client Platform)

Skills

SQL QueriesLookerTableauData ScienceRData AnalysisAI

21 days ago

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Important information


Contract type:

Permanent

Salary:

$160,000 – $200,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

30 September 2026

What they need


  • 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
  • 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

Benefits

  • Discord HQ: At Discord, we believe great work can happen anywhere, whether in person or virtually. Our flexible work model empowers our people to choose where they work best: at home, in one of our offices like our San Francisco HQ, or a mix of both.
  • Grow together: Look forward to developing both professionally and personally alongside your colleagues at Discord. All of our managers go through a leadership program, and we offer enriching trainings for everyone. No matter what your interests or skills are, there’s a place on our platform for you to find and build belonging.
  • Money matters: Discord strives to offer fair and competitive compensation packages, including equity. You’ll have room to grow and be rewarded based on your contributions and impact at the company. Take advantage of our retirement offerings (including 401k matching in the US) to meet your financial goals.
  • Health benefits; At Discord, we health-care about you! We offer medical, dental, vision, reproductive, gender-affirming, and mental healthcare to our employees.
  • Family support: Spend some quality time with the next generation with 12+ weeks parental leave, as well as fertility, adoption, and surrogacy benefits.
  • R&R: Stay refreshed with four weeks of PTO, 16 paid holidays each year including a week off for the winter holidays, and flexible sick time (which includes mental health days).
  • Wellness on us: Take advantage of a $375 quarterly stipend for your gym membership or other activities to keep you feeling great.
  • Giving back: Whatever social cause you’re passionate about, take a day (or two) off to make an impact. While you’re at it, take advantage of $1,000/year in donation matching to charitable organizations!- Clear communication skills, with the ability to make complex findings easy to understand
  • 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
  • Bonus Points
  • Strong SQL skills and experience building clean, performant dashboards (Tableau, Looker, or similar)
  • Curiosity, a collaborative attitude, and a drive to solve hard problems
  • Passion for Discord or online communities
  • Experience with performance/reliability analytics for online services
  • Production ETL or BigQuery experience
  • Familiarity with social or subscription products (social graphs, LTV, funnel analysis)
  • Experience using AI in data science work

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