Engagement Manager (Data Science)
Tasks
- Conduct project status meetings
- Ensure project meets client expectations
- Lead client working sessions
- Manage day-to-day project operations
- Provide technical direction to project teams
- Serve as domain expert for project delivery
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Amazon S3 | Automation | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Cloud platform | Data Drift | Data Drift Detection | Data Engineering | Data Lake Storage Gen2 | Data Manipulation | Data Modeling | Databricks | Docker | Drift Detection | Embeddings | GenAI | Google Cloud | Google Cloud Platform | Kubernetes | MLOps | MLflow | Machine Learning | Microsoft Fabric | Model Deployment | Model Evaluation | Model Monitoring | Power BI | Predictive Modeling | Prompt engineering | Python | Reporting | Retraining | Retrieval-Augmented Generation | SQL | Snowflake | Tableau | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Science | Data Science Manager | Engagement Manager | Manager
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