The opportunity
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…
What you'll do
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.
Empower our Data Science team (50+ members) to use more rigorous causal inference methods.
In addition to consulting within the wider Data Science team (50+ members),: lead and conduct causal inference research of your own on important Discord priorities.
What they're looking for
- Proven experience in designing and validating statistical methodologies for: experimentation platforms or similar systems, with a focus on ensuring the accuracy and reliability of experimental results.
- MSc in a quantitative field (e.g. Statistics, Economics, Political Science,: Psychology, etc.) and 2+ years of experience designing, implementing and analyzing experiments or causal inference projects.
- Ability to critically evaluate and recommend statistical approaches and: methodologies that enhance the integrity of experimentation frameworks.
- Strong passion for education and the ability to communicate complex: statistical and experimental design concepts clearly and effectively to both technical and non-technical audiences.
