Lead Specialist, Data Science & Analytics II
Tasks
- Automate model retraining
- Build data pipelines
- Build predictive models
- Create data mining models
- Create data visualizations and reports
- Define KPIs and success criteria
- Deploy and monitor production models
- Develop machine learning and AI solutions
- Ensure data governance and documentation
- Ensure responsible AI compliance
- Handle model drift
- Own end to end ML and AI lifecycle
- Perform model versioning
- Perform statistical analysis
- Translate business needs into analytics use cases
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Artificial Intelligence | Automated retraining | Azure | Computer Vision | Data Governance | Data Mining | Data Modeling | Data pipeline | Explainable AI | Feature Engineering | Generative AI | MLOps | Machine Learning | Model Drift | Model Monitoring | Optimization | PyTorch | SQL | Statistical Analysis | TensorFlow | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Science | Data Science Lead | Data Scientist | Lead | Lead Data | Lead Data Scientist | Science Lead | Scientist
Regions
Countries
States
Cities
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