Machine Learning Data Scientist - Consumer Forecasting

What you’d do

Lead forecasting initiatives by building and scaling forecasting systems to predict metrics like DAU/WAU, revenue, and profitability. Collaborate cross-functionally and work hybrid in San Francisco with 3 days in office per week. Found on the employer's careers page on Oct 22, 2026. Apply through the link.

You’ll need

• Experience building or scaling forecasting platforms
• Familiarity with causal inference and Bayesian forecasting
• Experience with agentic decision support systems
• Passion for AI and machine learning in strategic decisions
• Hybrid work model with 3 days in office