Senior 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 is looking for an experienced, proactive,

What you'll do

• 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.

Requirements

• 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.
• 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 other statistical programming languages.
• Bonus Points PhD in a quantitative field Interest in conducting literature reviews, translating and championing best scientific practices to a wide range of functions across the company.
• Track record in using causal inference methods that translated into business decisions and outcomes.

Skills