Sr. Data Scientist, Enterprise Security Products
Tasks
- Build ML models for agentic security systems
- Collaborate with engineering and product teams to ship solutions
- Contribute to technical reviews and mentor teammates
- Create evaluation frameworks and feedback loops
- Develop anomaly detection and threat classification models
- Implement RAG pipelines for multi agent systems
- Own ML lifecycle from problem framing to monitoring
- Prototype security solutions using customer feedback
- Translate model results into engineering and product recommendations
- Use agentic coding tools for model iteration
Perks/Benefits
Skills/Tech-stack
Agent systems | Agentic AI | Anomaly Detection | Data Exploration | Data Monitoring | Deep learning | Embeddings | Evaluation | Feature Engineering | Language Models | Large Language Models | MATLAB | Machine Learning | Multi-Agent | Multi-Agent Systems | Python | R | RAG | SAS | SQL | Threat Classification | Threat detection
Education
N/A
Roles
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