Senior Data Scientist: Cyber Risk Analytics (Remote)

BairesDev; United States; Remote; MXN 900,000 - 1,300,000; Full time

Benefits offered by this job

100% remote work

Competitive USD or local currency pay

Home office hardware and software set‑

Flexible hours

Paid parental leaves

Global, multicultural team

Job summary

BairesDev is seeking a Senior Data Scientist to apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data. You will build Python and SQL analytics pipelines, turning raw security data into actionable insights to support risk prioritization.

Ideal candidates will have 5+ years in data science, strong Python/SQL skills, and experience applying data science to security domains, with excellent English and clear communication to engineering and leadership teams.

Qualifications

• 5+ years of experience in data science or quantitative analytics.
• Advanced 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 technical and leadership audiences.

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 engineering and leadership audiences.

Job description

BairesDev is seeking a Senior Data Scientist to apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data. You will build Python and SQL analytics pipelines, turning raw security data into actionable insights to support risk prioritization.

Ideal candidates will have 5+ years in data science, strong Python/SQL skills, and experience applying data science to security domains, with excellent English and clear communication to engineering and leadership teams.