Remote Senior Security Data Scientist | Python ML Lead

BairesDev; Colombia; Remote; COP 292,047,000 - 486,744,000; Full time

Benefits offered by this job

Remote work

USD compensation

Hardware provided

Flexible hours

Parental leave

Global team mentorship

Job summary

BairesDev in a remote, globally distributed environment seeks a Senior Security Data Scientist & Python Engineer to apply quantitative analytics to large-scale security data. You will design and deploy ML models that help security teams identify, analyze, and mitigate threats at scale.

Join a diverse team driving risk prioritization and decision-making, with opportunities for growth and impactful projects across major tech stakeholders.

Qualifications

• 5+ years of experience in Data Science, Security Engineering, or a related field.
• Strong proficiency in Python and machine learning.
• Solid background in statistics, experimentation, SQL, and feature engineering.
• Experience in model evaluation, deployment, and data visualization.
• Advanced proficiency in English.

Responsibilities

• Perform quantitative analytics on large-scale security data to uncover patterns and drive risk insights.
• Build and optimize analytical pipelines using Python, incorporating statistical modeling and feature engineering.
• Design and develop risk models that incorporate scoring frameworks and contextual signals to prioritize threats.
• Extract and analyze large datasets across modern data platforms to support security operations.
• Communicate findings through data visualization and reporting to both engineering teams and leadership.

Skills

Python

Machine Learning

Statistics

SQL

Data Visualization

English Proficiency

Job description

BairesDev in a remote, globally distributed environment seeks a Senior Security Data Scientist & Python Engineer to apply quantitative analytics to large-scale security data. You will design and deploy ML models that help security teams identify, analyze, and mitigate threats at scale.

Join a diverse team driving risk prioritization and decision-making, with opportunities for growth and impactful projects across major tech stakeholders.