Staff Data Scientist, Causal Inference & Experimentation

Overview

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's Experimentation Platform puts data at th

What you'll do

• 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.

Requirements

• 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.
• Strong passion for education, with a track record of communicating complex statistical and experimental design concepts to technical and non-technical audiences and fostering a culture of data literacy.
• Demonstrated experience in developing and delivering training programs or educational content related to experimentation, causal inference, or statistical analysis, with a track record of fostering a culture of data literacy within an organization.
• Proficient with Python, SQL, R, and/or other statistical programming languages.
• Bonus Points Interest in conducting literature reviews, translating and championing best scientific practices across the company.
• Track record using causal inference methods that translated into business decisions and outcomes.

Skills