Manager, Data Science & Analytics
Tasks
- Build predictive models and machine-learning algorithms
- Conduct statistical analysis
- Create data visualizations, dashboards, and reports
- Design operate and maintain data pipelines
- Develop implement and maintain databases and data collection systems
- Drive model governance quality standards and explainability
- Ensure data security and regulatory compliance
- Integrate models into enterprise platforms control systems and digital twins
- Lead and coach a multi disciplinary data science team
- Manage machine learning lifecycle and model deployment
- Monitor data quality and enforce data best practices
- Oversee end to end data science delivery
- Promote experimentation and continuous improvement
- Supervise MLOps monitoring and model drift management
- Translate business needs into data-driven solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Artificial Intelligence | Azure | Data Governance | Data Lineage | Data Mining | Data Pipelines | Data Quality | Drift management | Feature Engineering | Generative AI | MLOps | Machine Learning | Machine Learning Model | Machine Learning Model Monitoring | Model Drift | Model Explainability | Model Monitoring | Model Risk Management | Model drift management | Model risk | PyTorch | Reproducibility | Responsible AI | Risk Management | SQL | Statistical Analysis | TensorFlow
Education
Roles
Analytics | Analytics Manager | Data Science | Data Science Manager | Manager
Regions
Countries
States
Cities
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