Principal Data Scientist - Risk Intelligence & AI
Tasks
- Assess scope and impact of security issues
- Collaborate with product on AI driven user experiences
- Define explainable decision logic for prioritized issues
- Design risk scoring approaches for SaaS security signals
- Develop AI powered security workflows for investigation and triage
- Establish model evaluation methods for quality and reliability
- Incorporate product usage signals for continuous ML improvement
- Monitor ML and AI systems in production
- Operationalize ML and AI workflows with engineering
- Provide technical leadership for applied ML and AI
Perks/Benefits
- 401k matching
- Dental insurance
- Employee assistance program
- Health insurance
- Life insurance
- Paid parental leave
- Paid sick time
- Paid time off
- Vision insurance
- Wellness reimbursement
Skills/Tech-stack
Agentic AI | Apache Beam | Apache Kafka | Cloud Dataflow | Cloud Dataproc | Cloud platform | Data Lakes | Decision Systems | Explainable AI | GCP integrations | Google Cloud | Google Cloud Dataflow | Google Cloud Dataproc | Google Cloud Platform | Human-in-the-loop | LLM Evaluation | Language Models | Large Language Models | Machine Learning | Model Monitoring | Model Reliability | Partitioning | PubSub | PySpark | PyTorch | Python | Risk Modeling | SQL | Scikit-learn | Statistical modeling | The Loop
Education
N/A
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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