Senior Security Data Scientist (Python) – Remote

About the role

As a Senior Security Data Scientist you will turn large‑scale security signals into actionable risk insights. Working fully remote, you will partner with security and engineering teams to shape how risk is prioritized across the organization.

Key responsibilities

• Perform quantitative analytics on massive security datasets to uncover patterns and drive risk insights.
• Build end‑to‑end analytical pipelines in Python, including statistical modeling and feature engineering.
• Query and analyze data stored in modern warehouses such as Snowflake, Databricks or BigQuery.
• Develop risk models that incorporate vulnerability scoring frameworks and contextual signals.
• Communicate findings through visualizations and reports for both technical and executive 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.
• Proven ability to work independently in a fully remote environment.

Required skills

• Python (pandas, NumPy, scikit‑learn)
• SQL
• Snowflake, Databricks, BigQuery
• Vulnerability scoring frameworks (CVSS, EPSS, KEV)
• Statistical modeling
• Feature engineering
• Data visualization and reporting

What we offer

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