Remote Senior Risk Data Scientist — Cybersecurity Priorities

BairesDev; Sucre; A distancia; COP 378.334.000 - 567.501.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote

Competitive USD compensation

Mentorship program

Growth opportunities

Descripción de la vacante

BairesDev is seeking an experienced Data Scientist to focus on risk and cybersecurity analytics. You will build analytical pipelines using Python and SQL to translate complex risk signals into actionable insights for engineering and leadership teams.

The role is 100% remote, with excellent compensation in USD or local currency. You will work with a global Top 1% talent pool, enjoying flexible hours, mentorship, and growth opportunities across a diverse, multinational environment.

Formación

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

Responsabilidades

• Focus statistical modeling and feature engineering on cybersecurity and vulnerability-risk prioritization.
• Build and maintain analytical pipelines in Python and SQL for large-scale risk data analysis.
• Develop models that inform how risk is prioritized across the organization.
• Present risk insights and findings to engineering and leadership stakeholders.

Conocimientos

Python

SQL

Statistical modeling

Feature engineering

Risk analytics

Communication skills

English proficiency

Descripción del empleo

BairesDev is seeking an experienced Data Scientist to focus on risk and cybersecurity analytics. You will build analytical pipelines using Python and SQL to translate complex risk signals into actionable insights for engineering and leadership teams.

The role is 100% remote, with excellent compensation in USD or local currency. You will work with a global Top 1% talent pool, enjoying flexible hours, mentorship, and growth opportunities across a diverse, multinational environment.