Senior Risk Data Scientist - Remote, Flexible Hours

BairesDev; Colombia; Presencial; COP 370.233.000 - 555.350.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Excellent compensation in USD

Hardware and software setup

Flexible hours

Paid parental leaves

Multicultural growth environment

Descripción de la vacante

BairesDev is seeking a data scientist focused on risk and security analytics to join our 100% remote team. You will apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data, building robust pipelines in Python and SQL so leadership can act with confidence.

The role emphasizes communicating insights to engineering and executive stakeholders, delivering scalable analytics, and contributing to a global, multicultural environment with flexible hours and USD

Formación

• 5+ years of experience in data science 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 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

Data science

Python

SQL

Statistical modeling

Feature engineering

Communication

English

Descripción del empleo

BairesDev is seeking a data scientist focused on risk and security analytics to join our 100% remote team. You will apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data, building robust pipelines in Python and SQL so leadership can act with confidence.

The role emphasizes communicating insights to engineering and executive stakeholders, delivering scalable analytics, and contributing to a global, multicultural environment with flexible hours and USD