Senior Data Scientist, Causal Inference + Experimentation

About the role

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.

Responsibilities

• 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.

Requirements

• 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.
• 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.

Qualifications

• 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.
• Passion for Discord or gaming.
• Causal inference related publications.

Benefits

The US base salary range for this full-time position is $220,500 to $245,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.