Executive Director, Data Science
INR 3300K-4000K (estimate) Executive-level Full Time
Tasks
- Build forecasting models
- Build production ML pipelines
- Collaborate with engineering and product teams
- Conduct feature engineering
- Define AI/ML roadmap
- Deploy models to production
- Design anomaly detection systems
- Develop predictive models
- Explain model predictions
- Implement drift detection
- Manage model retraining
- Mentor data scientists
- Monitor model performance
- Perform variance analysis
- Respond to model incidents
- Run back testing
- Validate model performance
Perks/Benefits
- Continuous learning
- Family-friendly perks
- Financial wellness programs
- Flexible time off
- Health care coverage
- Retirement planning
Skills/Tech-stack
Anomaly Detection | Backtesting | Batch Processing | Data Imputation | Data Quality | Data cleaning | Deep learning | Drift Detection | Feature Engineering | Forecasting | Incident Response | Machine Learning | Model Deployment | Model Explainability | Model Monitoring | Model Validation | Predictive Analytics | Real Time | Real-time Inference | Retraining strategies | Series analysis | Statistical modeling | Time Series | Time Series Analysis | Version control
Education
N/A
Roles
Data Science | Data Science Lead | Data Scientist | Lead | Principal | Principal Data Scientist | Science Lead | Scientist
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