Lead Data Scientist
Tasks
- Architect machine learning pipelines
- Build data processing pipelines
- Collaborate with cross-functional teams
- Create model documentation
- Deploy models as REST APIs
- Develop tabular machine learning models
- Establish production monitoring
- Lead end to end machine learning lifecycle
- Mentor junior data scientists
Perks/Benefits
- N/A
Skills/Tech-stack
API Management | Agile | Azure API | Azure API Management | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure DevOps | Azure Machine Learning | CI/CD | CSV | Data Factory | Data Lake Storage Gen2 | Data Lineage | Fairness testing | GxP | LightGBM | Logistic Regression | MLOps | MLflow | Machine Learning | Model Monitoring | Model Registry | PySpark | REST APIs | Random Forest | Responsible AI | SHAP | Spark SQL | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
Regions
Countries
States
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