Senior Data Scientist, Causal Inference + Experimentation

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 looking for an experienced, proactive, and self-driven Senior Data Scientist to join our Experimentation Platform team.

The Experimentation Platform puts data at the heart of the company’s decision-making and growth by enabling rapid and accurate product experimentation.

Discord runs hundreds of experiments on any given day, turning experiment results into business decisions.

As a Data Scientist on this team, you will ensure that the statistical underpinnings of our experiments are sound, that experimenters are able to design experiments with high rigor, and that Discord makes the best business decisions on the basis of these experiments.

We are a small and quickly growing team; you will be presented with significant leadership opportunities as we evolve.

Our team directly impacts the strategy and roadmaps that improve Discord for its more than 90M daily active users!

If helping make Discord an even better place to hang out with your friends sounds like an exciting challenge - we'd love to chat with you!

Check out our blog about how our team informs strategy & innovation at Discord here!

• Collaborate closely with engineering and product teams to improve the reliability and scalability of experimentation at Discord.
• Provide statistical expertise, ensuring that all statistical choices, methodologies, and frameworks are sound and aligned with best practices in causal inference and experimental design.
• Lead initiatives to educate and train cross-functional teams on best practices in experimentation design, statistical methodologies, and causal inference, ensuring a deep understanding of the principles that drive sound decision-making under uncertainty.
• Develop and deliver engaging workshops, training sessions, and educational materials that demystify complex statistical concepts and promote data-driven decision-making across the company.