Machine Learning Data Scientist, Forecasting

OpenAI
San Francisco
Workplace: HybridFull timeUSD 255,000 - 405,000 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: mastersSkills: ["Communication","Leadership","Problem-solving","Storytelling"]

Senior ML Data Scientist to lead forecasting initiatives within OpenAI’s Strategic Finance Data Science group. Build and scale robust, interpretable, production-ready forecasting systems predicting DAU/WAU, revenue, LTV, compute usage, and profitability. Own end-to-end modeling lifecycle, collaborate cross-functionally, and advance self-service forecasting tools to empower real-time, data-driven decision-making across product, finance, and infrastructure.

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FursaFursa
OpenAI
OpenAI
8 months ago

Machine Learning Data Scientist, Forecasting

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Last checked: 1 hour agoStatus: Live

Job Summary

Senior ML Data Scientist to lead forecasting initiatives within OpenAI’s Strategic Finance Data Science group. Build and scale robust, interpretable, production-ready forecasting systems predicting DAU/WAU, revenue, LTV, compute usage, and profitability. Own end-to-end modeling lifecycle, collaborate cross-functionally, and advance self-service forecasting tools to empower real-time, data-driven decision-making across product, finance, and infrastructure.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •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.
  • •Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making.

Pay and Benefits

Salary: USD 255,000 - 405,000 annually
Equity and Bonus:Equity
Perks:Relocation

Key Requirements

  • •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.
Experience:7+ yearsForecastingTime-seriesData scienceAI
Education:Master's
Skills:CommunicationLeadershipProblem-solvingStorytelling
Tech Stack:PythonSQLScikit-learnPyTorchTensorFlowForecasting libraries

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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