数据科学家，核心实验
Data Scientist, Core Experimentation
关于团队
OpenAI 的 Statsig 团队 https://openai.com?utm_source=chatgpt.com 构建并运营实验平台，该平台支持公司产品开发、度量和决策。我们与产品、工程和基础设施团队紧密合作，确保实验的可信度、统计严谨性，并能满足前沿 AI 产品的需求。
我们的使命是通过可靠的实验帮助团队做出更好的决策。我们高度重视统计正确性、务实的解决方案，以及构建研究人员和工程师可以在大规模下信任的系统。该团队位于实验方法、数据基础设施、因果推断和产品分析的交汇点。
我们正在寻找有经验的实验专家，希望他们能塑造人工智能时代实验的未来。
职位描述
我们正在招聘一名资深数据科学家，以帮助推动 OpenAI 核心实验平台的演进。该职位专注于提升公司范围内实验的统计严谨性、可靠性和实用性。
你将解决在线实验中的一些最困难的问题：样本比例不匹配检测、方差减少、偏差缓解、指标设计、触发分析、异质处理效应、序列测试以及复杂 ML 系统中的实验。你还将帮助将先进的统计概念转化为实际可用的系统和产品体验。
这是一个高度技术性的个人贡献者角色，对方法论、平台架构和实验最佳实践有重大影响。理想的候选人具备深厚的统计专业知识，同时拥有强大的系统直觉和在大规模下构建或运营实验平台的实际经验。
在此职位中，你将：
- 主导 OpenAI 实验平台的统计方向和技术策略
- 设计和改进产品和研究团队使用的实验方法
- 构建务实的解决方案来应对现实世界的实验挑战，平衡严谨性与操作简便性
- 提高实验结果的可靠性和可信度，包括偏差、日志问题和数据质量问题的检测与预防
- 在 Python 和分布式计算环境中开发可扩展的分析系统和流水线
- 与工程师合作
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About the Team
The Statsig team at OpenAI https://openai.com?utm_source=chatgpt.com 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.
About the Role
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 platform
- Design and improve experimentation methodologies used across product and research teams
- Build pragmatic solutions to real-world experimentation challenges, balancing rigor with operational simplicity
- Improve the reliability and trustworthiness of experiment results, including detection and prevention of bias, logging issues, and data quality failures
- Developscalable analytical systems and pipelines in Python and distributed compute environments
- Partner with engineers and product teams to improve experiment design, metric quality, and decision-making practices
- Lead investigations into complex experimentation anomalies and measurement failures
- Establish best practices for experimentation governance, interpretation, and statistical correctness
- Mentor other data scientists and raising the overall technical bar for experimentation and causal inference
You might thrive in this role if you have:
- Experience building, scaling, or operating experimentation platforms at a large technology company
- Deep expertise in statistics, causal inference, and online experimentation methodology
- Strong understanding of practical experimentation challenges in production systems
- Experience with areas such as variance reduction, CUPED, sequential testing, SRM detection, metric design, or heterogeneous effects
- Strong coding and systems skills in Python and large-scale data processing frameworks (e.g. Spark)
- Experience designing analytical data models and scalable experimentation pipelines
- Ability to communicate complex statistical concepts clearly to technical and non-technical audiences
- Track record of influencing technical strategy through hands-on technical leadership
- Experience in large-scale product experimentation, ML experimentation, ranking systems, marketplace systems, or similar high-scale experimentation domains is highly valued
Workplace & 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 USD
About OpenAI
OpenAI 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.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.