Senior Risk Data Scientist - Remote Work

BairesDev; Berlin; Remote; EUR 86.000 - 129.000; Vollzeit

Benefits dieser Stelle

Remote work

Flexible hours

USD compensation option

Mentorship program

Zusammenfassung

BairesDev in Berlin (remote) is seeking a data scientist focused on risk and cybersecurity analytics. You will apply Python and SQL to build pipelines, develop models, and translate risk signals into actionable insights for engineering and leadership.

The role emphasizes prioritizing vulnerabilities, communicating findings to stakeholders, and working 100% remotely with flexible hours. A strong background in risk analytics and English communication is required.

Qualifikationen

• 5+ years of 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.

Aufgaben

• 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.

Kenntnisse

Python

SQL

Statistical modeling

Feature engineering

Risk analytics

Tools

Pandas

Scikit-learn

Jobbeschreibung

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!