Description

Apply data science and machine learning techniques to security-focused datasets to drive actionable insights.

Responsibilities

• Develop supervised and unsupervised machine learning models for clustering, classification, and regression.
• Build and configure complex data pipelines using API endpoint connections.
• Design and implement ETL processes and data integration techniques.
• Establish data governance principles during the data ingestion process.
• Create effective data visualizations to communicate technical findings to management.

Required Skills

• 5+ years of experience in Data Analysis, SQL, and Python programming.
• Proficiency in Power BI or Plotly Enterprise for data visualization.
• Experience with No-SQL databases including MongoDB and Cassandra.
• Strong understanding of database design, data mining, and data modeling.
• Hands-on experience with cloud computing infrastructure.
• Knowledge of Cybersecurity Frameworks and related security data.
• Experience working in Agile environments using Azure DevOps or similar tools.
• Advanced use of Jupyter Notebook/Lab and Visual Studio Code.

Preferred Skills

• Advanced degree in Computer Science, Mathematics, Physics, or Statistics.

Key Skills

Education

Any Graduate