Senior Data Scientist ID70128

AgileEngine; Wrocław; Hybrid; PLN 448,000 - 671,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Scientist to develop predictive models and analytics for risk-based vulnerability prioritization within a large-scale security program. You will structure massive security telemetry, build ML models to reduce noise, and establish dashboards to drive data-driven governance.

Requirements include 5+ years in data science, proficiency in Python/R/SQL, ML frameworks TensorFlow/PyTorch, data visualization skills, and English at an upper-intermediate level.

Qualifications

• 5+ years of commercial data science experience with autonomy.
• Proficiency in Python, R and SQL.
• Experience with TensorFlow or PyTorch.
• Experience with data visualization tools.
• Experience applying data science to vulnerability management.
• Upper-intermediate English.

Responsibilities

• Develop predictive models to prioritize vulnerabilities by risk and impact.
• Analyze large security telemetry data to support the ASPM framework.
• Create ML algorithms to reduce noise and false positives.
• Build unified data dashboards for governance adoption.

Skills

Data science

Python

R

SQL

Data viz

Vulnerability mgmt

English

Tools

TensorFlow

PyTorch

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

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;
• - Upper-intermediate English level.

NICE TO HAVES

• - Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).

PERKS AND BENEFITS

• - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• - Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• - Exciting projects: Modern solutions with Fortune 500 and top product companies.
• - Flextime: Flexible schedule with remote and office options.

Meet Our Recruitment Process

Application - Coding Challenge - Video Interview - Technical Interview or Hiring Manager Interview
Each step helps us understand your skills and overall fit.
If it’s a match, you’ll receive an offer.