Senior Risk Data Scientist - Remote Work | REF#303849

BairesDev; Brasil; Presencial; BRL 614 000 - 922 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work

USD salary

Home setup

Flexible hours

Parental leave

Mentorship

Growth opportunities

Global team

Resumo da oferta

BairesDev is a fully remote tech company delivering cutting-edge solutions to giants like Google. You’ll apply statistical modeling and feature engineering to cybersecurity and vulnerability-risk data, building Python/SQL pipelines to translate risk signals into actionable insights for engineering and leadership.

Strong English and 5+ years in data science are required. Join a global, remote-ready team that values mentorship, growth, and a flexible schedule.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python

SQL

Statistical modeling

Feature engineering

Data science

Risk analytics

Cybersecurity

English proficiency

Descrição da oferta de emprego

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!