Remote Senior Data Scientist - Cybersecurity Risk Analytics

BairesDev

Antioquia

Presencial

COP 279.520.000 - 465.867.000

Jornada completa

hace 40 horas
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Ventajas ofrecidas por este puesto de trabajo

Remote work
USD salary or local currency
Hardware & software setup
Flexible hours
Paid parental leaves & vacations
Global, multicultural team
Mentorship and growth opportunities

Descripción de la vacante

BairesDev is seeking a Senior Data Scientist to apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data. You will build analytical pipelines in Python and SQL that turn raw security data into actionable insights, collaborating with engineering and leadership teams to improve risk understanding.

The role offers 100% remote work, competitive USD compensation, and a supportive, multicultural environment with mentorship and growth opportunities.

Formación

  • 5+ years of experience in data science or quantitative analytics.
  • Strong proficiency in Python and SQL for building analytical pipelines.
  • Experience with statistical modeling and feature engineering.
  • Background applying data science to cybersecurity or risk-related domains.
  • Strong communication skills for both technical and leadership audiences.
  • Advanced proficiency in English.

Responsabilidades

  • Apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data.
  • Build analytical pipelines using Python and SQL for large-scale data analysis.
  • Improve risk prioritization through data-driven modeling and insights.
  • Communicate findings clearly to both engineering and leadership audiences.

Conocimientos

Python
SQL
Statistical modeling
Feature engineering
Cybersecurity domain knowledge
Communication
English proficiency

Descripción del empleo

BairesDev is seeking a Senior Data Scientist to apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data. You will build analytical pipelines in Python and SQL that turn raw security data into actionable insights, collaborating with engineering and leadership teams to improve risk understanding.

The role offers 100% remote work, competitive USD compensation, and a supportive, multicultural environment with mentorship and growth opportunities.

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