Senior Risk Data Scientist (Remote)

About the role

As a Senior Risk Data Scientist you will lead the development of statistical models and feature‑engineering pipelines that prioritize cybersecurity and vulnerability risks. You will turn complex risk signals into actionable insights for engineering and leadership teams.

Key responsibilities

• Focus statistical modeling and feature engineering on cybersecurity and vulnerability‑risk prioritization.
• Build and maintain large‑scale analytical pipelines using Python and SQL.
• Develop models that directly influence how risk is prioritized across the organization.
• Present risk insights and findings to engineering and leadership stakeholders.

Required profile

• 5+ years of data science experience with a focus on risk or security analytics.
• Strong proficiency in Python and SQL for building analytical pipelines.
• Deep experience with statistical modeling and feature engineering applied to risk data.
• Proven track record of improving risk prioritization through data science.
• Excellent communication skills for both technical and leadership audiences.
• Advanced proficiency in English.

Required skills

• Python
• SQL
• Statistical modeling
• Feature engineering

What we offer

• 100% remote work from anywhere.
• Competitive compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible hours and self‑managed schedule.
• Paid parental leave, vacations and national holidays.
• Innovative, multicultural environment with mentorship and growth opportunities.