Senior Data Scientist: Cyber Risk Analytics (Remote)

BairesDev

Bogotá

Remote

COP 292,047,000 - 389,395,000

Full time

8 hours ago
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Benefits offered by this job

100% remote work
USD or local currency compensation
Hardware setup for home office
Flexible hours
Paid parental leaves and holidays
Mentorship and growth opportunities

Job summary

BairesDev is hiring a Senior Data Scientist to apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data, building Python/SQL pipelines for large-scale analysis.

You will work with engineering and leadership teams to translate data into actionable insights and improve risk prioritization, with strong English communication and 5+ years of experience. This is a 100% remote role offering USD or local currency compensation.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
SQL
Statistical modeling
Feature engineering
Data storytelling
English fluency

Tools

Python
SQL

Job description

BairesDev is hiring a Senior Data Scientist to apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data, building Python/SQL pipelines for large-scale analysis.

You will work with engineering and leadership teams to translate data into actionable insights and improve risk prioritization, with strong English communication and 5+ years of experience. This is a 100% remote role offering USD or local currency compensation.

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