Senior Data Scientist
Tasks
- Build and maintain scalable statistical and machine learning models
- Communicate forecast changes risks and model behavior to leaders
- Design forecasting approaches for accuracy stability and explainability
- Diagnose forecast movements and separate business change from data issues
- Improve forecasting stack with monitoring anomaly detection and validation
- Incorporate business context to improve forecast quality
- Mentor and lead technical rigor and decision making
- Own production forecasting systems for core financial metrics
- Partner with Analytics Engineering and Data Scientists on production processes
- Perform model evaluation backtesting and uncertainty quantification
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Redshift | Anomaly Detection | Apache Spark | Backtesting | Bayesian Methods | BigQuery | Change Management | Data Pipelines | Deep learning | Forecasting | Machine Learning | Monitoring | Probabilistic Modeling | Python | Reproducibility | SQL | Snowflake | State Space Models | State-Space | Statistical modeling | Uncertainty Quantification
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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