Sr. Associate Data Scientist
Tasks
- Analyze security data to detect threats
- Apply MLOps practices
- Assess data quality and cleanse data
- Build applied analytics models
- Build predictive analytics models
- Build prescriptive analytics models
- Build security data pipelines
- Collaborate in Agile delivery
- Collaborate with cybersecurity teams
- Detect patterns and anomalies
- Develop agent based threat detection and response
- Develop generative AI solutions for security
- Develop security analytics
- Document and report findings
- Implement security analytics pipelines
- Refine data infrastructure for scalability
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent-based | Agent-based systems | Azure | Classification | Clustering | Data Cleansing | Data Engineering | Data Pipelines | Databricks | Descriptive Statistics | Feature extraction | Generative AI | Google Cloud | Hypothesis Testing | MLOps | Machine Learning | Predictive Analytics | Prescriptive Analytics | PyTorch | Python | Regression Analysis | SAFe Agile | Scikit-learn | Series analysis | TensorFlow | Time Series | Time Series Analysis
Education
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