Senior Security Data Scientist

Job Summary

Applying quantitative analytics to large-scale security data, the full-time Senior Security Data Scientist will build analytical pipelines using Python, develop risk models, and communicate findings to enhance risk prioritization and decision-making in a remote environment.

Key responsibilities

• Perform quantitative analytics to uncover patterns and drive risk insights from security data
• Build analytical pipelines and statistical models using Python for large datasets
• Develop and communicate risk models incorporating vulnerability scoring frameworks and contextual signals

Required qualifications

• 5+ years of experience in data science or quantitative analytics
• Strong proficiency in Python, including pandas, NumPy, and scikit-learn
• Experience with SQL and large-data analysis on platforms like Snowflake or BigQuery
• Familiarity with vulnerability scoring frameworks and risk modeling
• Advanced proficiency in English