Senior Data Scientist
Tasks
- Build machine learning lifecycle workflows
- Collaborate in Agile delivery teams
- Deploy machine learning pipelines
- Develop predictive models
- Evaluate and validate models
- Monitor model performance
- Optimize SQL queries and data transformations
- Perform data exploration and feature engineering
- Translate business problems into analytical solutions
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Azure | BigQuery | CI/CD | Classification | Cloud Computing | Clustering | Data Governance | Data Modeling | Data Visualization | Data Warehousing | Databricks | Docker | ETL | Experiment tracking | Feature Engineering | Feature Stores | Forecasting | GCP | Git | Hadoop | Kafka | Kubernetes | Language Processing | MLOps | MLflow | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | NoSQL | NumPy | Pandas | Predictive Modeling | PyTorch | Python | R | Recommendation Systems | Regression | Relational databases | SQL | Scikit-learn | Snowflake | Spark | Statistical Analysis | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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