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
Formulate the vision and set the roadmap for the future of the: Experimentation Platform, in partnership with engineering, product, and data science stakeholders.
Provide statistical expertise, ensuring that experimentation methodologies: and frameworks are sound and aligned with best practices in causal inference and experimental design.
Partner closely with engineering and product to improve the reliability,: scalability, and adoption of experimentation across Discord - including modern AI/LLM tooling where it can accelerate rigor and speed.
Lead initiatives to educate and train cross-functional teams: including workshops, training sessions, and educational materials - on experimentation design, statistical methodology, and causal inference.
Empower Discord's Data Science team (50+ members) to adopt more rigorous causal inference methods.
Lead and conduct original causal inference research on high-priority Discord: questions, in partnership with the wider Data Science team.
What they're looking for
- Engage directly with experimentation customers: data scientists, product managers, and engineers - to ensure the platform enables fast, reliable, data-driven decisions.
- Proven experience leading experimentation platform work, including designing: and validating statistical methodologies to ensure the accuracy and reliability of experimental results.
- PhD in a quantitative field (e.g. Statistics, Economics, Political Science,: Psychology) or equivalent practical experience, plus 4+ years designing, implementing, and analyzing experiments or causal inference projects.
- Ability to critically evaluate and recommend statistical approaches that: balance velocity and reliability across a variety of product launches.
