Senior/Lead Data Scientist

AgileEngine, LLC; Poland; On-site; BRL 200,000 - 350,000; Full time

Benefits offered by this job

Growth opportunities

Competitive compensation

Remote work

Modern projects

Collaborative culture

Well-being programs

Job summary

AgileEngine, LLC in Brazil is seeking a Senior Data Scientist to develop predictive models and analytics powering risk-based vulnerability prioritization within a large-scale security program. You will structure massive security telemetry datasets and build ML algorithms to reduce noise and false positives, enabling data-driven security governance.

The role requires 5+ years of data science experience with direct commercial application to vulnerability management, and you will work autonomously

Qualifications

• 5+ years of commercial data science experience, autonomous.
• Advanced Python, R, and SQL proficiency.
• Experience with TensorFlow and PyTorch.
• Experience with data visualization tools.
• Commercial experience applying data science to vulnerability management.

Responsibilities

• Develop predictive models and analytics to prioritize vulnerabilities based on risk and impact.
• Structure and analyze large security telemetry datasets across the enterprise ecosystem.
• Create ML algorithms to filter out scanning noise and false positives.
• Establish unified data dashboards to drive data-driven security governance.

Skills

5+ years experience

Python

R

SQL

TensorFlow

PyTorch

Data visualization

Vulnerability management

Job description

We are looking for a Senior Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 5+ years of data science experience with direct commercial application to vulnerability management, operating with full autonomy.

What you will do

• Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
• Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
• Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
• Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.

Must haves

• 5+ years of commercial data science experience, operating completely autonomously with no required supervision;
• Advanced proficiency in Python, R, and SQL;
• Experience with machine learning frameworks such as TensorFlow and PyTorch;
• Experience with data visualization tools;
• Commercial experience applying data science to vulnerability management;

Nice to haves

• Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
• Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
• Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
• Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
• Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
• Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
• Well-being & support: access local well-being programs and people-focused support tailored to your location

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FAQ

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