Senior Data Scientist
Tasks
- Collaborate with stakeholders in Agile delivery
- Deploy machine learning pipelines
- Develop predictive models
- Monitor model performance
- Optimize model evaluation and validation
- Perform data exploration and feature engineering
- Translate business problems into analytical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | AWS | Airflow | Automated testing | Azure | BigQuery | CI/CD | Classification | Cloud Computing | Clustering | Containerization | Data Governance | Data Modeling | Data Processing | Data Visualization | Data Warehousing | Databricks | Distributed data | Distributed data processing | Docker | ETL | Experiment tracking | Feature Engineering | Feature Stores | Forecasting | GCP | Git | Hadoop | Kafka | Kubernetes | Language Processing | MLOps | MLflow | Machine Learning | Managed AI | Managed AI Services | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | NoSQL | NumPy | Pandas | Predictive Analytics | PyTorch | Python | Query Optimization | R | Recommendation Systems | Regression | Relational databases | SQL | Scikit-learn | Snowflake | Spark | TensorFlow
Education
Roles
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