Senior Security Data Scientist (Python), Remote

About the role

As a Senior Security Data Scientist you will apply quantitative analytics and statistical modeling to large‑scale security data, turning raw signals into actionable risk insights. You will work remotely with a global team of top‑tier technologists, influencing how risk is prioritized and mitigated across the organization.

Key responsibilities

• Perform quantitative analysis on massive security datasets to uncover patterns and drive risk insights.
• Build end‑to‑end analytical pipelines in Python, including feature engineering and statistical modeling.
• Query and analyze data stored in modern warehouses such as Snowflake, Databricks, or BigQuery.
• Develop risk models that incorporate vulnerability scoring frameworks (e.g., CVSS, EPSS, KEV) and contextual signals.
• Communicate findings through clear visualizations and reports for engineering and leadership audiences.

Required profile

• 5+ years of experience in data science or quantitative analytics.
• Strong background in statistical modeling and feature engineering.
• Advanced proficiency in English.

Required skills

• Python (pandas, NumPy, scikit‑learn).
• SQL.
• Snowflake, Databricks, BigQuery.
• Vulnerability scoring frameworks: CVSS, EPSS, KEV.

What we offer

• 100% remote work from anywhere.
• Competitive compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible schedule and paid parental leave, vacations, holidays.
• Mentorship, promotion pathways, and continuous skill development.