机器学习数据科学家, 预测
Machine Learning Data Scientist, Forecasting
关于团队
OpenAI 战略财务团队在塑造公司长期发展轨迹方面发挥着关键作用。我们与产品、工程和市场推广团队紧密合作，通过严谨的数据科学和经济建模为高风险决策提供支持。作为我们不断扩展的数据科学职能的一部分，我们正在构建一流的预测能力，以推动用户增长、收入、计算基础设施等领域的实时数据驱动决策。
我们正在开发可扩展的预测基础设施，以帮助我们理解并预见日益复杂、基于使用情况的世界中的业务动态。我们的模型是规划、定价、运营效率和增长战略的基础，支持关键投资决策并释放 OpenAI 的全部潜力。
职位简介
我们正在寻找一位高级机器学习数据科学家来领导我们的预测工作。你将成为战略财务数据科学中预测支柱的创始成员之一，负责构建和扩展稳健、可解释且可投入生产的预测系统。你的模型将通过预测核心指标（如 DAU/WAU、收入、客户终身价值、计算消耗和盈利能力）来推动关键的业务决策。
这是一个高度跨职能的职位，需要技术卓越、强大的产品直觉和商业敏锐度。你将与产品经理、研究人员、工程师和财务负责人合作，将预测洞察转化为实际应用，影响公司整体战略，并在 OpenAI 构建基础的预测能力。
该职位位于加利福尼亚州旧金山。我们采用每周三天在办公室的混合办公模式，并为新员工提供搬迁协助。
在此职位上，你将：
- 构建统计和机器学习模型，解决产品、财务、基础设施和市场推广领域的预测需求。
- 负责整个建模生命周期，包括需求定义、特征工程、模型开发和原型设计、实验、部署、监控和可解释性。
- 开发并生产化可扩展、可解释的预测，用于用户增长、变现、计算负载、客户终身价值和盈利能力。
- 参与自助式预测工具和内部平台的开发，使 OpenAI 各个团队能够访问并利用实时预测。
- 研究并评估预测领域的新工具和方法，例如
查看英文原文
ABOUT THE TEAM
The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more.
We are developing scalable forecasting infrastructure to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy - supporting key investment decisions and unlocking OpenAI’s full potential.
About the Role
We’re looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You’ll be one of the founding members of the Forecasting pillar within Strategic Finance Data Science, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. Your models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, LTV, compute consumption, and profitability.
This is a highly cross-functional role, requiring technical excellence, strong product intuition, and business acumen. You’ll collaborate with product managers, researchers, engineers, and finance leaders to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
- Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains.
- Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.
- Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability.
- Contribute to self-service forecasting tools and internal platforms, enabling teams across OpenAI to access and act on real-time predictions.
- Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches.
- Drive strategic insight generation by translating technical outputs into business-aligned recommendations and decision frameworks.
- Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making.
You might thrive in this role if you have:
- Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).
- 7+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems.
- Expertise in time-series forecasting techniques and practical understanding of model trade-offs across performance, explainability, and scalability.
- Proficiency in Python, SQL, and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries.
- Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments.
- Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders.
- Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1.
Bonus if you have:
- Experience building or scaling forecasting platforms in a high-growth company.
- Familiarity with causal inference, Bayesian forecasting
- Passion for AI and a strong point of view on how machine learning should inform strategic decisions in fast-moving environments.
#LI-NM2
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.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf
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.