Machine Learning Data Scientist - Consumer Forecasting

📋 Description

• Build statistical and machine learning models to solve forecasting needs across product, finance
• Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development
• Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute
• Contribute to self-service forecasting tools and internal platforms, enabling teams across OpenAI
• Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT
• Drive strategic insight generation by translating technical outputs into business-aligned

🎯 Requirements

• Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics
• 7+ years of experience in applied data science, with deep hands-on exposure to forecasting
• Expertise in time-series forecasting techniques and practical understanding of model trade-offs
• Proficiency in Python, SQL, and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting
• Demonstrated experience with model monitoring, debugging, and long-term maintenance in production
• Strong communication and storytelling skills - able to simplify complexity and influence executive

🎁 Benefits

• Offers Equity