Data Scientist, Finance Forecasting

📋 Description

• Own core revenue forecasts or causal measurement program
• Build backtesting and accuracy tracking for models
• Improve quality cycle over time with results
• Contribute to event-aware forecast architectures and hierarchical designs
• Translate model outputs into clear recommendations for Finance leadership
• Partner with Analytics Engineer on feature pipelines, model deployment, and forecast store

🎯 Requirements

• Substantial experience in data science, forecasting, or quantitative finance with production models
• Fluent in Python and SQL; productionize your work
• Strong applied statistics with depth in production time-series methods or causal inference
• Built backtesting and accuracy-tracking discipline; comfortable with public scoring
• Presented and defended a forecast or causal estimate to executives
• Bias for action and thrive in ambiguous early-stage environments

🎁 Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space