Principal Data Scientist
Tasks
- Analyze large scale cybersecurity datasets
- Architect scalable high performance ML AI components
- Communicate complex findings to stakeholders
- Design build and deploy production grade ML models
- Develop and maintain end-to-end ML pipelines
- Establish ML AI development best practices
- Integrate ML AI outcomes into product decisions
- Mentor technical contributors across teams
- Own ideation and execution of ML AI initiatives
Perks/Benefits
- 401k matching
- Dental insurance
- Disability insurance
- Flexible time off
- Life insurance
- Medical insurance
- Paid parental leave
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Anomaly Detection | Artificial Intelligence | Cloud Platforms | Data extraction | Deep learning | Distributed Computing | Feature Engineering | GNN | Graph Neural Networks | 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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