Data Scientist, Finance Forecasting

📋 Description

• Own a core piece of the team's modeling work — either the production revenue forecasts themselves
• Build and run backtesting and accuracy tracking for your models, and use the results to improve
• Contribute to the team's broader research direction, including event-aware forecast architectures
• Translate model output and accuracy results into clear recommendations for Finance and executive
• Partner with the team's Analytics Engineer on feature pipelines, model deployment, and the forecast

🎯 Requirements

• Substantial experience in data science, forecasting, or quantitative finance, including time owning
• Deep fluency in Python and SQL and comfortable productionizing what you build
• Strong applied statistics foundation, with depth in either production time-series methods (Prophet
• Built backtesting and accuracy-tracking discipline before and comfortable having models scored
• Presented and defended a forecast or causal estimate to executives
• Bias for action and best work 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 in which to collaborate with colleagues