Senior Security Data Scientist

Job Summary

Working remotely in a full-time capacity, the Senior Security Data Scientist will apply quantitative analytics and statistical modeling to large-scale security data, transforming raw signals into actionable insights for risk prioritization and decision-making.

Key responsibilities

• Perform quantitative analytics on large-scale security data to uncover patterns and drive risk insights
• Build analytical pipelines using Python, including statistical modeling and feature engineering
• Communicate findings through visualization and reporting for both engineering and leadership audiences

Required qualifications

• 5+ years of experience in data science or quantitative analytics
• Strong experience with quantitative analytics on large-scale security data
• Proficiency in Python, including pandas, NumPy, and scikit-learn
• Experience with SQL and large-data analysis on warehouses such as Snowflake, Databricks, or BigQuery
• Familiarity with vulnerability scoring frameworks and risk modeling