Senior Data Scientist (Causal Inference + Experimentation)

• 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!
• 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

Benefits

• Discord HQ: At Discord, we believe great work can happen anywhere, whether in person or virtually. Our flexible work model empowers our people to choose where they work best: at home, in one of our offices like our San Francisco HQ, or a mix of both.
• Grow together: Look forward to developing both professionally and personally alongside your colleagues at Discord. All of our managers go through a leadership program, and we offer enriching trainings for everyone. No matter what your interests or skills are, there’s a place on our platform for you to find and build belonging.
• Money matters: Discord strives to offer fair and competitive compensation packages, including equity. You’ll have room to grow and be rewarded based on your contributions and impact at the company. Take advantage of our retirement offerings (including 401k matching in the US) to meet your financial goals.
• Health benefits; At Discord, we health-care about you! We offer medical, dental, vision, reproductive, gender-affirming, and mental healthcare to our employees.
• Family support: Spend some quality time with the next generation with 12+ weeks parental leave, as well as fertility, adoption, and surrogacy benefits.
• R&R: Stay refreshed with four weeks of PTO, 16 paid holidays each year including a week off for the winter holidays, and flexible sick time (which includes mental health days).
• Wellness on us: Take advantage of a $375 quarterly stipend for your gym membership or other activities to keep you feeling great.
• Giving back: Whatever social cause you’re passionate about, take a day (or two) off to make an impact. While you’re at it, take advantage of $1,000/year in donation matching to charitable organizations!- Discord is looking for an experienced, proactive, and self-driven Senior Data Scientist to join our Experimentation Platform team
• 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
• Ability to critically evaluate and recommend statistical approaches and methodologies that enhance the integrity of experimentation frameworks
• 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
• 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
• 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
• 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