The Data Scientist is responsible for developing and implementing AI-driven solutions to enhance cybersecurity measures within the organization. This role involves leveraging data science techniques to analyze security data, detect threats, and automate security processes.
Requirements
- Develop analytics to address an organization's business or Engineering problems.
- Collaborate with Data Engineers to translate Machine Learning algorithms into effective solutions.
- Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
- Perform exploratory and targeted data analyses using descriptive statistics and other methods to identify security patterns and anomalies.
- Design and implement analytics pipelines leveraging MLOps practices.
- Collaborate with data engineers on data quality assessment, data cleansing, and the development of operational data pipelines.
- Contribute to data engineering efforts to refine data infrastructure and ensure scalable, efficient analytics.
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
- Share and discuss findings with team members practicing SAFe Agile delivery model.