Senior Data Scientist
Tasks
- Assess fairness and bias
- Automate deployment workflows
- Build CI/CD pipelines
- Communicate model results and trade offs to stakeholders
- Create evaluation metrics
- Deploy machine learning models to production
- Detect data drift
- Engineer features
- Frame business problems for machine learning
- Implement logging and alerting
- Integrate with existing systems
- Monitor deployed models
- Package models for production
- Perform error analysis
- Select machine learning algorithms and architectures
- Train machine learning models
- Trigger retraining workflows
- Tune hyperparameters
- Validate model performance with cross validation
Perks/Benefits
- 401k
- Career development
- College Tuition Assistance
- Consumer Classes
- Critical illness and accident insurance
- Disability insurance
- Discounted home and auto insurance
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid parental leave
- Paid time off
- Pet insurance
- Pre-tax commuter benefits
- Product training
- Store discounts
- Tuition assistance
Skills/Tech-stack
AWS | Artificial Intelligence | Azure | Bias Mitigation | CI/CD | Cloud Computing | Containerization | Cross-validation | Data Drift | Data Drift Detection | Docker | Drift Detection | Fairness testing | Feature Engineering | GCP | Hyperparameter Tuning | Kubernetes | Machine Learning | Model Monitoring | Python | SQL | Statistical Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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