Senior Data Scientist
Tasks
- Build analytical workflows
- Build data preparation pipelines
- Collaborate on technical specifications
- Communicate results to non-technical audiences
- Develop machine learning models
- Document modeling decisions
- Generate model scoring pipelines
- Maintain machine learning models
- Manage model lifecycle with MLOps
- Manage model versioning
- Monitor model performance
- Perform feature engineering
- Support QA compliance
- Support Responsible AI efforts
- Test machine learning models
Perks/Benefits
- Company-Paid Holidays
- Dental coverage
- Disability insurance
- Employee assistance program
- Life insurance
- Medical coverage
- Paid time off
- Personal days
- Retirement savings plan
- Sick leave
- Vision coverage
Skills/Tech-stack
Agile | Cloud platform | Containerization | Data Preparation | Databricks | Docker | Experiment tracking | Feature Engineering | Google Cloud | Google Cloud Platform | MLOps | Machine Learning | Pandas | Python | SQL | Scikit-learn | Version control
Education
N/A
Roles
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