Data Scientist - Client Platform

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's Experimentation Platform puts data at the heart of the company's decision-making and growth - we run hundreds of experiments at any given time, and those results turn directly into business decisions across Discord. As a Staff 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! What you will be doing Formulate the vision and set the roadmap for the future of the Experimentation Platform, in partnership with engineering, product, and data science stakeholders. Provide statistical expertise, ensuring that experimentation methodologies and frameworks are sound and aligned with best practices in causal inference and experimental design. Partner closely with engineering and product to improve the reliability, scalability, and adoption of experimentation across Discord - including modern AI/LLM tooling where it can accelerate rigor and speed. Lead initiatives to educate and train cross-functional teams - including workshops, training sessions, and educational materials - on experimentation design, statistical methodology

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 de

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's Safety ML team builds the machine learning systems that protect 200M+ users. The team's mission is to make Discord a place where people can build genuine friendships without exposure to harm, at a scale where manual review alone can never keep up. We're looking for a highly technical, hands-on, and mission-driven Engineering Manager to lead our Safety ML team. As the manager responsible for Safety ML, you will own the detection systems that sit between attackers and our users; real-time and batch models for content understanding, account integrity, and platform abuse. What You'll Be Doing Build and lead an exceptional team of highly-engaged ML engineers by hiring, coaching, and instilling a sense of ownership and impact. Drive the technical vision and roadmap for Safety ML by collaborating with your team and partners across Trust & Safety, Product, Policy, Legal, and Data Science. Own the end-to-end lifecycle of production safety models: defining new capabilities, measuring performance, and monitoring the operational health of systems that make millions of enforcement decisions per day. Manage processes and leverage your technical expertise to continually raise the bar and ensure your team delivers extraordinary results. Partner with Trust & Safety on label quality, golden sets, and automating manual investigations. Work with other Engineering Managers to continuously improve the Engineering organization and uphold our workplace philosophy . What you should have You have 5+ years of experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist. You have 3+ years of ex

What You'll Do Physical scientist/engineer to take responsibility for testing and validation of novel hardware systems What We're Looking For Hands-on laboratory experience and the ability to work independently Familiarity with test and measurement equipment including: oscilloscopes, lock-in amplifiers, spectrum analyzers, PID controllers, etc. Proven diagnostic and troubleshooting skills, coupled with the drive to understand experimental results fully before proceeding Diligent record-keeping habits and facility with Python/Matlab/equivalent for data analysis and visualization Ability to work on-site (up to five days/week) in the San Francisco Bay Area Given the nature of the work, U.S. citizenship is required. Useful Experience Background in experimental physics, particularly in quantum or optical measurements Hands-on EE design and manufacturing experience: analog and digital electronics, board layout, soldering, etc. Excellent data presentation skills A desire to learn new skills outside your current area of expertise Proficiency using the latest AI tools to accelerate workflow

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 where the world's gamers hang out, and increasingly, it's the platform game developers build on. We're seeking a Senior Data Science Manager to lead Data Science for our Developer Platform: the SDKs, identity systems, and developer tools that connect games and their players to Discord. What makes this role distinctive is the two-sided value equation at the heart of the platform. For game developers, we build tools that help studios grow player engagement and revenue, including data products that give them deeper insight into their players and communities. For players, we use signals from those same tools to make it easier to play and hang out with friends, deepen engagement across Discord, and deliver more relevant ads. Your team's job is to make both sides of that exchange demonstrably valuable. That means proving the platform's worth to developers with rigorous evidence, and ensuring the signals it generates create outsized, responsible value for Discord users. If helping make Discord an even better place to hang out with your friends and communities sounds like an exciting challenge - we'd love to chat with you! What you'll be doing Manage, mentor, and develop a mission-driven team of Data Scientists embedded across the Developer Platform's core areas: identity, signals, and developer tools. Own the vision and roadmap for data-driven decision-making across the Developer Platform org, and shape company strategy on how the platform creates value for both developers and Discord. Strengthen the developer side of the value equation by shaping developer-facing data products, including metr

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. This position is US based only. Discord is looking for Senior Data Engineers to join our world class Data team. Data Engineers at Discord work with data science, machine learning, and engineering teams to build the foundational datasets behind our tools, analyses, and models. The data you build directly shapes how we find opportunities, measure success, and make product and business decisions. We are hiring for multiple verticals including Gaming Intelligence and GRC. If this sounds exciting to you and you’re passionate about data, impact, and working on an amazing team, read on! What you will be doing : Own the data models and pipelines for a functional area end to end, from design through implementation and adoption Build and maintain foundational datasets that power analytics, modeling, experimentation, and the dashboards and reports teams rely on Design data architectures for massive, complex data, balancing usability, performance, and cost Partner with data science, ML, and engineering teams to improve the coverage, accuracy, and reliability of instrumentation Build data quality audits at scale, with alerting and anomaly detection where needed Find and act on opportunities to improve pipeline and dashboard performance and cost Drive adoption of your work through documentation and enablement, and share what you learn with teammates What you should have 4+ years of experience building and operating production data pipelines with high volumes of consumer data Strong data modeling skills across structured and unstructured sources Proficiency in SQL and Python, with a focus on correct, performant,