Applied Data Science & Machine Learning Leader Global Forecasting

About the Team

The Strategic Finance team at OpenAI plays a critical role in shaping the companys 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 were 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 a scalable forecasting platform 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 OpenAIs full potential.

About the Role

Were looking for a hands-on technical leader to build and lead a small but mighty team of applied data scientists and ML engineers to develop forecasting capabilities and platforms from the ground up.

Your team will be responsible for building and scaling robust interpretable and production-ready forecasting systems. These models will power critical business decisions by predicting core metrics such as DAU/WAU revenue compute consumption and profitability.

You will work closely with Strategic Finance leaders to integrate these scalable forecasting capabilities into their operational rhythms and collaborate with the Growth team to forecast key KPIs.

This is a highly cross-functional role that requires technical excellence strong product intuition and business acumen. Youll collaborate with various partners to operationalize forecasting insights influence company-wide strategy and build foundational forecasting capabilities at OpenAI.

This role is based in San Francisco CA. We follow a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role you will:

• Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale.

• Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders.

• Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes and executive decision-making.

• Work closely with cross-functional partners to help them adopt scientific automated forecasting solutions.

• Own the end-to-end modeling lifecycle including scoping feature engineering model development and prototyping experimentation deployment monitoring and explainability.

• Research and evaluate emerging tools and techniques in the forecasting space.

• Translate technical outputs into business-aligned recommendations and decision frameworks.

You might thrive in this role if you have:

• Extensive experience building production-ready models for time series applications.

• Proven track record of building adjustable and explainable forecast models for multiple planning cycles.

• 10 years of applied data science & engineering experience with deep hands-on expertise in forecasting and predictive modeling.

• Demonstrated experience with model monitoring debugging and long-term maintenance in production environments.

• Excellent communication and storytelling skills able to simplify complexity and influence executive stakeholders.

• Team leadership experience with a track record of building high-performing engaged teams.

• An advanced degree (MS or PhD) in a quantitative field (e.g. Statistics Computer Science Economics Operations Research).

• A self-directed intellectually curious mindset and comfort leading ambiguous projects from 01.

• The ability to thrive in a dynamic environment flexible resourceful and willing to do what it takes to succeed.

• Experience building or scaling forecasting platforms in a high-growth company.

• A passion for AI and a strong perspective on how machine learning should inform strategic decisions in fast-moving building or scaling forecasting platforms in a high-growth company.

• A passion for AI and a strong perspective on how machine learning should inform strategic decisions in fast-moving environments.
  

Bonus if you have:

• Experience building or scaling forecasting platforms in a high-growth company.

• A passion for AI and a strong perspective on how machine learning should inform strategic decisions in fast-moving environments.

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 OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

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 addition job duties require access to secure and protected information technology systems and related data security obligations.

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