Senior Data Scientist, Causal Inference + Experimentation

Discord · San Francisco Bay Areasenior

En corto

▸Científico de datos senior enfocado en inferencia causal y experimentación en un entorno de millones de usuarios.
▸Diseñar métodos estadísticos rigurosos, capacitar equipos y liderar proyectos de investigación en causalidad.
▸Destaca la oportunidad de liderar y educar a 50+ científicos de datos en metodologías de experimentación de alto impacto.

Strong passion for education and the ability to communicate complex statistical and experi

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¿Qué piden?

✓Experiencia comprobada en metodologías estadísticas para plataformas de experimentación.
✓MSc en campo cuantitativo (Estadística, Economía, Psicología, etc.) y 2+ años en experimentos o inferencia causal.
✓Capacidad para evaluar y recomendar enfoques estadísticos con rigor científico.
✓Pasión por la enseñanza y comunicación clara de conceptos complejos a audiencias técnicas y no técnicas.
✓Experiencia en crear programas de capacitación o materiales educativos en experimentación o estadística.
✓Dominio de Python, SQL, R y otros lenguajes estadísticos.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonSQLRstatistical programming languaexperimentation platformscausal inferenceexperimental designdata-driven decision-makingtraining programseducational materials

¿A quién escribirle en Discord?

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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 ch

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