Senior Data Scientist - Remote Work | REF#305838

BairesDev

Cajamarca

Remote

PEN 413,000 - 619,000

Full time

20 hours ago
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Benefits offered by this job

Remote work
Competitive salary
Home office setup
Flexible hours
Paid parental leave
Vacation policy
Global team mentorship

Job summary

Senior Data Scientist at BairesDev is a fully remote role applying statistical modeling and feature engineering to cybersecurity and vulnerability-risk data. You’ll build analytical pipelines in Python and SQL to turn raw security data into actionable insights, partnering with engineering and leadership.

You’ll join a global Top 1% team, enjoy 100% remote work, flexible hours, and competitive compensation in USD.

Qualifications

  • 5+ years of experience in data science or quantitative analytics.
  • Strong proficiency in Python and SQL for building analytical pipelines.
  • Experience with statistical modeling and feature engineering.
  • Background applying data science to cybersecurity or risk-related domains.
  • Strong communication skills for both technical and leadership audiences.
  • Advanced proficiency in English.

Responsibilities

  • Apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data.
  • Build analytical pipelines using Python and SQL for large-scale data analysis.
  • Improve risk prioritization through data-driven modeling and insights.
  • Communicate findings clearly to both engineering and leadership audiences.

Skills

Python programming
SQL
Statistical modeling
Feature engineering
Cybersecurity domain
Communication
English proficiency

Tools

Python
SQL

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.

Senior Data Scientist at BairesDev

In this role, you'll apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data. You'll build analytical pipelines in Python and SQL that turn raw security data into actionable insights. This is your opportunity to apply core data science skills to a high-stakes domain, working closely with engineering and leadership teams to improve how risk is understood and prioritized.

What You’ll Do
  • Apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data.
  • Build analytical pipelines using Python and SQL for large-scale data analysis.
  • Improve risk prioritization through data-driven modeling and insights.
  • Communicate findings clearly to both engineering and leadership audiences.
What We Are Looking For
  • 5+ years of experience in data science or quantitative analytics.
  • Strong proficiency in Python and SQL for building analytical pipelines.
  • Experience with statistical modeling and feature engineering.
  • Background applying data science to cybersecurity or risk-related domains.
  • 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!

#BD-PRIO-2026

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