Machine Learning Data Scientist - Consumer Forecasting
OpenAI · San Francisco
Frontier labremotesenior$347k–$445k
At a glance
Highlights
- Lead forecasting initiatives as founding member of Forecasting pillar.
- Build production-ready forecasts for user growth, revenue and compute load.
- Translate forecasting insights into company-wide strategy and investment decisions.
What they offer
- Equity
- Relocation assistance
Ideal candidate
Senior data scientist with deep forecasting intuition who thrives leading ambiguous 0→1 initiatives. Self-directed storyteller who turns complex models into clear business strategy and loves shaping product and growth decisions.
Requirements
- Advanced degree (MS or PhD) in Statistics, Computer Science, Economics or Operations Research
- 7+ years in applied data science with forecasting, predictive modeling or marketplace systems
- Expertise in time-series forecasting balancing performance, explainability and scalability
- Proficiency in Python, SQL, scikit-learn, PyTorch/TensorFlow and forecasting libraries
- Experience with model monitoring, debugging and long-term production maintenance
- Strong communication and storytelling to influence executive stakeholders
- Self-directed, intellectually curious, comfortable leading ambiguous 0-to-1 projects
- remote policy
- Hybrid - 3 days in office per week
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets
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