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# Data Scientist

- **Company:** Discord Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $220,500.0 - $245,000.0
- **Contract:** Permanent contract
- **Skills:** R (Programming Language), Python (Programming Language), SQL Databases, Statistics Packages, Discord
- **Published:** August 24, 2026
- **Apply:** https://www.dice.com/job-detail/d4b29b32-4cd3-4ec3-89f2-c63774b2cc81

## About the Role

* 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.

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.

## Description

* 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.


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