Data Scientist
Tasks
- Build data pipelines
- Build in secure containerized environments
- Collaborate with product and engineering teams
- Deliver in agile environment
- Deploy ML services
- Develop preprocessing workflows
- Develop reusable ML workflows
- Evaluate model outcomes
- Perform feature engineering
- Run data validation
- Test model performance
- Train machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Apache Spark | Azure | Containerization | Continuous Delivery | Data Pipeline Development | Data Validation | Data Visualization | Data pipeline | Databricks | Feature Engineering | MLOps | MLflow | Machine Learning | Matplotlib | Model Evaluation | Model Testing | Pipeline Development | Plotly | PySpark | Python | SQL | Scikit-learn | Tableau | TensorFlow | XGBoost
Education
Regions
Countries
States
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