Senior Data Scientist
Tasks
- Build and evaluate threat intelligence models
- Build and evaluate vendor risk assessment models
- Collaborate with product managers and engineers
- Communicate findings to technical and non-technical audiences
- Conduct code reviews and design discussions
- Deploy models to production systems
- Develop machine learning models for cybersecurity risk scoring
- Identify patterns, trends and anomalies
- Integrate models with production data pipelines
- Perform exploratory data analysis
- Stay current with new research and technologies
- Validate model accuracy and robustness
Perks/Benefits
Skills/Tech-stack
AWS | Cybersecurity | Data Analysis | Databricks | Exploratory Data Analysis | GCP | MLflow | Machine Learning | Model Deployment | Model Evaluation | Python | Scikit-learn | Threat Intelligence | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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