Senior Data Scientist, Cybersecurity Analytics — Remote

BairesDev; Comisión de Fomento de Perú; Remote; ARS 181,904,000 - 272,855,000; Full time

Benefits offered by this job

Remote work

USD compensation

Flexible hours

Parental leave

Home office setup

Mentorship

Job summary

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

Join a 100% remote environment with flexible hours, competitive USD compensation, home-office setup, mentorship, and diverse growth opportunities across the world’s

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

Cybersecurity domain

Communication

English

Pandas

Scikit-learn

Tools

Pandas

Scikit-learn

Job description

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

Join a 100% remote environment with flexible hours, competitive USD compensation, home-office setup, mentorship, and diverse growth opportunities across the world’s