Senior Risk Data Scientist - Remote & Flexible Hours

BairesDev; United States; Remote; MXN 2,037,000 - 3,055,000; Full time

Benefits offered by this job

100% remote work

Competitive USD compensation

Flexible hours

Hardware and software setup

Paid parental leaves and vacations

Mentorship and growth opportunities

Job summary

BairesDev is seeking a data scientist to tackle risk prioritization using Python and SQL. You will apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data, delivering actionable insights for engineers and leaders.

This 100% remote role offers flexible hours, competitive USD compensation, and a collaborative global team. You will present findings, build robust pipelines, and influence risk decisions across the organization.

Qualifications

• 5+ years of data science experience focused on risk or security analytics.
• Proficient in Python and SQL for building analytics pipelines.
• Strong background in statistical modeling and feature engineering on risk data.
• Excellent communication for both technical and leadership audiences.
• Advanced proficiency in English.

Responsibilities

• Focus modeling and feature engineering on cybersecurity and vulnerability-risk prioritization.
• Build analytical pipelines in Python and SQL for large-scale risk data.
• Develop models to inform risk prioritization across the organization.
• Present risk insights to engineering and leadership stakeholders.

Skills

Python

SQL

Statistical modeling

Feature engineering

Risk analytics

Communication skills

English

Job description

BairesDev is seeking a data scientist to tackle risk prioritization using Python and SQL. You will apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data, delivering actionable insights for engineers and leaders.

This 100% remote role offers flexible hours, competitive USD compensation, and a collaborative global team. You will present findings, build robust pipelines, and influence risk decisions across the organization.