Principal Data Scientist
Tasks
- Analyze cybersecurity datasets for classification detection and automation
- Architect scalable high performance ML AI components
- Communicate complex findings to technical and non-technical stakeholders
- Design build and deploy production ML models
- Develop end-to-end ML pipelines
- Establish ML AI best practices for model operations and data quality
- Integrate ML AI outcomes into product decisions
- Mentor technical contributors
- Own ML AI initiative execution
Perks/Benefits
- 401k plan
- Dental insurance
- Flexible time off
- Medical insurance
- Paid parental leave
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Anomaly Detection | Artificial Intelligence | Cloud Computing | Deep learning | Distributed Computing | Feature Engineering | Graph Neural Networks | Graph technology | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Training | Neural Networks | Probabilistic Modeling | Python | SQL
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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