Senior Data Scientist, Causal Inference + Experimentation

Auth21
San Francisco, California, United StatesFull-time$220,500–$245,000Posted Aug 27, 2026

About the role

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Senior Data Scientist, Causal Inference + Experimentation

San Francisco Bay Area

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. We are a small and quickly growing team; you will be presented with significant leadership opportunities as we evolve.

Our team directly impacts the strategy and roadmaps that improve Discord for its more than 90M daily active users! If helping make Discord an even better place to hang out with your friends sounds like an exciting challenge - we'd love to chat with you! Check out our blog about how our team informs strategy & innovation at Discord here!

What You'll Be Doing

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.

What You Should Have

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.

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. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

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For government reporting purposes (EEO-1), we ask candidates to respond to the below self-identification survey. Discord is required to file annual demographic reports with the Equal Employment Opportunity Commission. Your responses help us meet this obligation. Each question below includes an “I don’t wish to answer” option. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

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Discord is an Equal Employment Opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), gender identity, gender expression, sexual orientation, national origin, ancestry, age, marital status, disability, medical condition, genetic information, military or veteran status, citizenship status, or any other characteristic protected by applicable federal, state, or local law. This policy applies to all aspects of employment, including hiring, promotion, compensation, discipline, termination, and access to benefits and training.

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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. We are a small and quickly growing team; you will be presented with significant leadership opportunities as we evolve.

Our team directly impacts the strategy and roadmaps that improve Discord for its more than 90M daily active users! If helping make Discord an even better place to hang out with your friends sounds like an exciting challenge - we'd love to chat with you! Check out our blog about how our team informs strategy & innovation at Discord here!

What You'll Be Doing

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.

What You Should Have

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.

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. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

244 results found

No results found

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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.
  • Develop and deliver engaging workshops, training sessions, and educational materials that promote data-driven decision-making across the company.
  • Empower our Data Science team to use more rigorous causal inference methods.
  • Lead and conduct causal inference research on important Discord priorities.

Qualifications

  • Proven experience in designing and validating statistical methodologies for experimentation platforms.
  • MSc in a quantitative field and 2+ years of experience designing, implementing and analyzing experiments.
  • Ability to critically evaluate and recommend statistical approaches and methodologies.
  • Strong passion for education and the ability to communicate complex concepts clearly.
  • Demonstrated experience in developing and delivering training programs related to experimentation.

Benefits

  • Equity
  • Comprehensive benefits package

Skills mentioned

PythonRSQLData AnalysisStatistical AnalysisStatistical ModelingData ScienceModel EvaluationExploratory Data AnalysisData Visualization

About Auth21

Software Development2-10 employees