Vice President, Data Science
US - NY NYC - 55 WATER ST 35 HRS, United States
USD 177K-350K Executive-level Full Time
Tasks
- Back-test models
- Build anomaly detection models
- Create explainable models
- Define AI/ML roadmap
- Deploy model to production
- Design develop deploy monitor ML models
- Detect model drift
- Engineer features
- Ensure model transparency
- Forecast time series outcomes
- Generate market and behavioral predictions
- Manage model retraining strategies
- Monitor data quality metrics
- Perform variance analysis
- Provide feature attribution
- Respond to ML incidents
- Run batch inference
- Run real time inference
- Validate model performance
Perks/Benefits
- Continuing education program
- Continuous learning resources
- Family-friendly perks
- Financial wellness programs
- Flexible time off
- Health care coverage
- Referral incentive awards
- Retail discounts
- Retirement planning
- Student loan contribution
Skills/Tech-stack
Anomaly Detection | Backtesting | Batch inference | Data Quality | Data Versioning | Drift Detection | Explainable AI | Feature Engineering | Machine Learning | Model Deployment | Model Explainability | Model Monitoring | Model Serving | Predictive Modeling | Real Time | Real-time Inference | Series analysis | Statistical modeling | Time Series | Time Series Analysis
Education
N/A
Regions
Countries
States
Cities
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