Senior Risk Data Scientist - Remote Work | REF#302347

BairesDev; United States; On-site; 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

At BairesDev® we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

In this role, risk prioritization is the core problem you solve. You'll apply statistical modeling and feature engineering specifically to cybersecurity and vulnerability-risk data, building the analytical foundation that determines what gets addressed first. Using Python and SQL to build robust analytical pipelines, you'll translate complex risk signals into insights that engineering and leadership teams can act on with confidence.

What You'll Do

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

What We Are Looking For

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

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!

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