Senior Data Scientist
Tasks
- Build & deploy machine learning models
- Design optimize data pipelines
- Develop advanced analytical models
- Develop feature engineering strategies
- Develop model monitoring and evaluation frameworks
- Integrate data across systems databases and APIs
- Maintain documentation for methods models and validation
- Mentor junior data scientists and analysts
- Participate in peer reviews and quality assurance
- Perform exploratory data analysis
- Prepare executive briefings and data visualizations
- Transform structured and semi structured datasets
- Validate model performance and explainability
Perks/Benefits
- Dental insurance
- Disability insurance
- Flexible spending accounts
- Health insurance
- Life insurance
- Paid time off
- Retirement plan
- Vision insurance
Skills/Tech-stack
AWS | Anomaly Detection | Azure Machine Learning | Azure Synapse | Classification | Cloud Computing | Clustering | Data Exploration | Data Modeling | Data Pipelines | Databricks | ELT | ETL | Explainable AI | Feature Engineering | Forecasting | Machine Learning | Model Evaluation | Model Monitoring | NumPy | Pandas | Predictive Modeling | PyTorch | Python | Regression | Responsible AI | SQL | Scikit-learn | Statistical Analysis | TensorFlow
Education
Roles
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