Remote: Senior Security Data Scientist & Python Engineer

BairesDev

Chile

Presencial

CLP 109.689.000 - 164.534.000

Jornada completa

Hace 12 días

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Ventajas ofrecidas por este puesto de trabajo

Remote work
USD salary
Home office setup
Flexible hours
Paid parental leave
Vacations & holidays
Global team
Mentorship & growth

Descripción de la vacante

BairesDev, a global tech leader with 15+ years of experience, is seeking a Senior Security Data Scientist & Python Engineer to turn large-scale security data into actionable insights. You will apply quantitative analytics and build ML models to help security teams identify and mitigate threats at scale.

This 100% remote role offers competitive USD compensation, flexible hours, and a chance to work with the world’s Top 1% of tech talent across diverse projects.

Formación

  • 5+ years of experience in Data Science or Security-related fields.
  • Strong Python and machine learning skills.
  • Solid background in statistics, SQL, and feature engineering.
  • Advanced proficiency in English.

Responsabilidades

  • Perform quantitative analytics on large-scale security data to uncover patterns and insights.
  • Build analytical pipelines using Python with statistical modeling.
  • Design risk models with scoring frameworks and contextual signals.
  • Extract and analyze large datasets across modern platforms for security ops.
  • Communicate findings via data visualizations to engineering teams and leadership.

Conocimientos

Data Science
Python
Statistics
SQL
Feature engineering
Model evaluation
Data visualization
English

Descripción del empleo

BairesDev, a global tech leader with 15+ years of experience, is seeking a Senior Security Data Scientist & Python Engineer to turn large-scale security data into actionable insights. You will apply quantitative analytics and build ML models to help security teams identify and mitigate threats at scale.

This 100% remote role offers competitive USD compensation, flexible hours, and a chance to work with the world’s Top 1% of tech talent across diverse projects.

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