Vice President, Data Science
US - NY NYC - 55 WATER ST 35 HRS, United States
USD 177K-350K Executive-level Full Time
Tasks
- Build analytical and predictive models
- Combine statistical ML semantic models and rules logic
- Conduct variance analysis
- Create explainable models
- Define AI/ML roadmap
- Deploy models for batch and real-time inference
- Develop forecasting and prediction models
- Engineer features
- Implement drift detection
- Manage data quality and preprocessing
- Monitor model performance in production
- Operate model versioning and retraining strategies
- Perform anomaly detection
- Provide feature attribution and model transparency
- Respond to model incidents
- Run back testing and validation
- Tune models over time
Perks/Benefits
- Continuing education program
- Continuous learning resources
- Family-friendly perks
- Financial wellness programs
- Generous time off
- Health care coverage
- Retail discounts
- Retirement planning
Skills/Tech-stack
Anomaly Detection | Backtesting | Batch inference | Data Drift | Data Preprocessing | Data Quality | Deep learning | Drift Detection | Feature Engineering | Feature attribution | Forecasting | Machine Learning | Model Deployment | Model Explainability | Model Monitoring | Model versioning | Predictive Modeling | Real Time | Real-time Inference | Series analysis | Statistical modeling | Time Series | Time Series Analysis | Validation
Education
N/A
Regions
Countries
States
Cities
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