Data Scientist, Finance Forecasting
Tasks
- Backtest forecasting models
- Build data science internal tooling
- Build revenue forecasting models
- Build usage based pricing forecasting systems
- Collaborate with data engineering on feature pipelines
- Collaborate with product on data foundations
- Collaborate with revenue operations on data foundations
- Deploy and monitor forecasting models
- Design causal measurement frameworks
- Develop analytics infrastructure
- Improve forecast quality
- Iterate forecast models
- Quantify revenue impact of GTM motions
- Quantify revenue impact of pricing changes
- Quantify revenue impact of product launches
- Track forecast accuracy metrics
- Translate model outputs into business recommendations
Perks/Benefits
- Flexible time off
- Flexible work environment
- Global offsites
- Healthcare coverage
- Home office setup
- Stock options
Skills/Tech-stack
Backtesting | Causal Inference | Data Engineering | Data Modeling | Forecasting | Hierarchical modeling | LLMs | Machine Learning | Python | SQL | State Space Models | State-Space | Time Series
Education
Roles
Regions
Countries
States
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