Senior Data Scientist, Causal Inference

What You’ll Be Doing

• Provide statistical expertise in the rebuilding of the experimentation platform, ensuring that all statistical choices, methodologies, and frameworks are sound and aligned with best practices in causal inference and experimental design.
• Collaborate closely with engineering and product teams during the platform rebuild to define and implement robust statistical methods that improve the reliability and scalability of experimentation at Discord.
• 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.

You Will Thrive In This Role If

• PhD in a quantitative field (e.g. Statistics, Economics, Political Science, Psychology, etc.) and 4+ 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 during platform development and rebuild phases.
• 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.
• 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

• 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.
• Experience in autonomously leading cross functional projects and influencing cross functional partners.
• Passion for Discord or gaming.
• Causal inference related publications.

#LI-Remote

The US base salary range for this full-time position is $183,000 to $201,000 + 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. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.