Remote Senior Risk Data Scientist - Prioritization

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

Benefits offered by this job

Remote work 100%

USD or local currency compensation

Hardware and software provided

Flexible hours

Paid parental leave

Vacations and national holidays

Multicultural, mentorship and growth

Job summary

BairesDev is seeking a dedicated Data Scientist to focus on risk and cybersecurity analytics, building robust pipelines in Python and SQL and translating complex risk signals into actionable insights for engineering and leadership.

You will develop models that influence risk prioritization across the organization while communicating findings to technical and executive audiences. This remote role emphasizes collaboration and impact across a global team.

Qualifications

• 5+ years of data science experience focused on risk or security analytics.
• Proficient in Python and SQL for building analytical pipelines.
• Strong modeling and feature engineering on risk data.
• Proven ability to improve risk prioritization with data science.
• Excellent communication for technical and leadership audiences.
• Advanced English proficiency.

Responsibilities

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

Skills

Python

SQL

Statistical modeling

Feature engineering

Data storytelling

English proficiency

Job description

BairesDev is seeking a dedicated Data Scientist to focus on risk and cybersecurity analytics, building robust pipelines in Python and SQL and translating complex risk signals into actionable insights for engineering and leadership.

You will develop models that influence risk prioritization across the organization while communicating findings to technical and executive audiences. This remote role emphasizes collaboration and impact across a global team.