Data Science Specialist
Tasks
- Build data pipelines on Databricks and Azure
- Collaborate on cross IT programs
- Coordinate external development teams
- Deploy recommendation engines
- Design personalization models
- Develop reusable ML frameworks
- Ensure code quality delivery timelines
- Identify opportunities to improve accuracy
- Implement MLOps best practices
- Lead data science lifecycle from prototyping to production
- Manage dependencies with Data Platform Integration Digital CRM
- Monitor model performance
- Support model training and serving
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Automated retraining | Azure | CI/CD | Collaborative Filtering | Content-Based Filtering | Content-based | Databricks | Feature Store | Hybrid recommendation | Kanban | MLflow | Machine Learning | Model Monitoring | Model Serving | PySpark | Python | Recommendation Systems | SQL | Scrum
Education
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