Data Scientist, Core Experimentation

Staff-Level Data ScientistThe Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products.Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics.We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era.We are hiring a Staff-level Data Scientist to help lead the evolution of OpenAI's core experimentation platform. This role is focused on improving the statistical rigor, reliability, and practical usability of experimentation across the company.You'll work on some of the hardest problems in online experimentation: sample ratio mismatch detection, variance reduction, bias mitigation, metric design, triggered analysis, heterogeneous treatment effects, sequential testing, and experimentation in complex ML systems. You'll also help translate advanced statistical concepts into pragmatic systems and product experiences that teams can actually use.This is a highly technical individual contributor role with significant influence across methodology, platform architecture, and experimentation best practices. The ideal candidate combines deep statistical expertise with strong systems intuition and hands-on experience building or operating experimentation platforms at scale.In this role, you will:Drive the statistical direction and technical strategy for OpenAI's experimentation platformDesign and improve experimentation methodologies used across product and research teamsBuild pragmatic solutions to real-world experimentation challenges, balancing rigor with operational simplicityImprove the reliability and trustworthiness of experiment results, including detection and prevention of bias, logging issues, and data quality failuresDevelop scalable analytical systems and pipelines in Python and distributed compute environmentsPartner with engineers and product teams to improve experiment design, metric quality, and decision-making practicesLead investigations into complex experimentation anomalies and measurement failuresEstablish best practices for experimentation governance, interpretation, and statistical correctnessMentor other data scientists and raise the overall technical bar for experimentation and causal inferenceYou might thrive in this role if you have:Experience building, scaling, or operating experimentation platforms at a large technology companyDeep expertise in statistics, causal inference, and online experimentation methodologyStrong understanding of practical experimentation challenges in production systemsExperience with areas such as variance reduction, CUPED, sequential testing, SRM detection, metric design, or heterogeneous effectsStrong coding and systems skills in Python and large-scale data processing frameworks (e.g. Spark)Experience designing analytical data models and scalable experimentation pipelinesAbility to communicate complex statistical concepts clearly to technical and non-technical audiencesTrack record of influencing technical strategy through hands-on technical leadershipExperience in large-scale product experimentation, ML experimentation, ranking systems, marketplace systems, or similar high-scale experimentation domains is highly valuedWorkplace & Location: This role is based in Bellevue. We use a hybrid work model and value in-person collaboration for technical design, iteration, and cross-functional partnership.Compensation Range: $293K - $325K USDOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.