Staff Data Scientist, Finance
Tasks
- Build production grade forecasting and decision systems
- Build scenario decomposition and what if tools
- Collaborate with finance product analytics and go to market teams
- Communicate forecast movements assumptions and uncertainty to leaders
- Define driver trees attribution rules and measurement standards
- Develop statistical econometric and machine learning leading indicator models
- Establish evaluation backtesting stability testing and forecast reconciliation
- Forecast revenue and key drivers across short and long horizons
- Implement data quality gates monitoring and anomaly detection
- Lead driver based revenue modeling framework
- Mentor scientists and set technical direction across modeling roadmap
- Productionize and operate frequently refreshed pipelines and applications
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Backtesting | Causal Inference | Cohort Analysis | Data Analysis | Data Modeling | Data Pipelines | Data Quality | Driver-based modeling | Econometric Modeling | Econometrics | Forecast reconciliation | Forecasting | Hierarchical modeling | Machine Learning | Monitoring | Panel data | Panel data analysis | Probabilistic Modeling | Python | Reproducibility | SQL | Scenario Planning | Segmentation | Series forecasting | Statistical modeling | Telemetry Analysis | Time Series | Time Series Forecasting | Unit economics | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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