Senior Data Scientist
Skills
Computer ScienceAnalyticsCraftsDriftFinanceModel SelectionOral
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years building and validating forecasting, econometric, or predictive models on large complex datasets
- Strong Python and SQL with R welcome in addition
- Deep time-series expertise including backtest design and leakage prevention
- Experience with version-controlled reproducible environments git code review and documented pipelines
- Experience maintaining models after launch including monitoring drift and retraining decisions
- Ability to explain model choices in plain language
- Bachelor’s degree in a quantitative discipline or equivalent applied experience
- Clear written and verbal communication
Nice to have
- Housing industry experience
- Cloud data platform experience
- dbt familiarity
- Mentoring experience
- Published index experience
Day to day
- Build, validate, and maintain time-series and econometric forecasting models across multiple horizons with rigorous backtesting and diagnostics.
- Advance the methodology behind published forecasts and indices as data sources and best practices evolve.
- Develop and extend forecast quality assurance and anomaly detection, and partner with engineering to productionize reliable models and metrics.