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Machine Learning Data Scientist - Consumer Forecasting

OpenAI

Machine Learning Data Scientist - Consumer Forecasting is a still-open role at OpenAI on Jobrow. Location: Hybrid · San Francisco · California · United States. Listed pay: $347k–$445k. Sourced from the company's public Ashby board. First seen 10 days ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$347k–$445k
Workplace
Hybrid
Location
San Francisco · California · United States
First seen
10 days ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

About the Team The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory.

  • Function: Machine learning
  • Seniority: mid

Location & pay

Hybrid · San Francisco · California · United States Listed pay on Jobrow: $347k–$445k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 10 days ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

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 s

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