Remote Senior Risk Data Scientist - Security Prioritization

BairesDev; United States; Remote; CLP 112,570,000 - 178,236,000; Full time

Benefits offered by this job

Remote work

USD pay option

Hardware provided

Flexible hours

Parental leaves

Growth opportunities

Job summary

BairesDev is seeking a senior Data Scientist focused on risk analytics to prioritize cybersecurity and vulnerability-risk data. You will build analytical pipelines in Python and SQL and translate complex risk signals into actionable insights for engineering and leadership teams.

Join a fully remote team with competitive USD or local currency compensation, flexible hours, and a strong emphasis on career development and mentorship within a global Top 1% talent network.

Qualifications

• 5+ years of data science experience with a focus on risk or security analytics.
• Strong proficiency in Python and SQL for building analytical pipelines.
• Expertise in statistical modeling and feature engineering on risk data.
• Proven track record improving risk prioritization through data science.
• Strong communication skills for technical and leadership audiences.
• Advanced proficiency in English.

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

Risk analytics

Communication

English

Tools

Python

SQL

Job description

BairesDev is seeking a senior Data Scientist focused on risk analytics to prioritize cybersecurity and vulnerability-risk data. You will build analytical pipelines in Python and SQL and translate complex risk signals into actionable insights for engineering and leadership teams.

Join a fully remote team with competitive USD or local currency compensation, flexible hours, and a strong emphasis on career development and mentorship within a global Top 1% talent network.