Manager, Data Science & Analytics
Tasks
- Coach on machine learning generative AI statistics feature engineering experimentation
- Conduct statistical analysis
- Create data visualizations dashboards reports
- Develop predictive machine learning models
- Drive model explainability auditability lineage and risk management
- Enforce data quality standards lineage and reproducibility
- Ensure compliance with data governance and responsible AI
- Ensure production ready model deployment
- Integrate predictive optimization models into enterprise platforms
- Lead and grow data science team
- Manage data pipelines with data engineering
- Manage machine learning lifecycle
- Manage model drift and continuous improvement
- Monitor data quality and resolve data issues
- Oversee end to end data science delivery
- Supervise ML model deployment and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Artificial Intelligence | Azure | Data Governance | Data Modeling | Data Pipelines | Data Quality | Feature Engineering | Generative AI | MLOps | Machine Learning | Model Explainability | Model Monitoring | Model Risk Management | Model risk | PyTorch | Responsible AI | Risk Management | SQL | Statistical Analysis | TensorFlow | Web Services
Education
N/A
Roles
Analytics | Analytics Manager | Data Science | Data Science Manager | Manager
Regions
Countries
States
Cities
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