Cybersecurity Data Scientist
USA, VA, McLean (8283 Greensboro Dr, Hamilton), United States
USD 77K-176K Mid-level Full Time
Tasks
- Collaborate to embed ML practices into DevSecOps and MLSecOps
- Design build deploy AI ML solutions for cybersecurity
- Develop automation scripting and infrastructure as code for ML pipelines
- Develop labeled datasets for detection triage and hunting
- Engineer data pipelines from security telemetry
- Integrate models with SIEM SOAR EDR IAM and CSPM
- Operationalize secure AI and MLSecOps risk controls
- Run experimentation and statistical evaluation for models
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS SageMaker | Adversarial Machine Learning | Alert triage | Anomaly Detection | Azure Machine Learning | B testing | Backtesting | Behavioral analytics | CI/CD | Calibration | Drift monitoring | Experiment tracking | Google Vertex | Google Vertex AI | Infrastructure as Code | Injection Defense | Kubeflow | Langchain | Language Processing | Llamaindex | MLOps | MLflow | Machine Learning | Milvus | Model Evaluation | Model versioning | Natural Language | Natural Language Processing | OpenSearch | PGVector | Pinecone | Precisión | Prompt injection | Prompt injection defense | PyTorch | Python | RAG | Recall | Retrieval-Augmented Generation | SOC automation | SQL | Scikit-learn | TensorFlow | Threat detection | Threat hunting | Vector Databases | Vertex AI | Weights and Biases | “as-code”
Education
Regions
Countries
States
Cities
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