Data Scientist – $2000 sign-on bonus

AgileEngine; Poland; Hybrid; PLN 445,000 - 668,000; Full time

Benefits offered by this job

Flextime

Work from home options

Education budget

Fitness budget

Team activities budget

Job summary

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

Requires 6+ years in data science applied to cybersecurity or risk models, strong Python/R/SQL, TensorFlow/PyTorch, and upper-intermediate English. Flexible hybrid work options offered.

Qualifications

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

Responsibilities

• Develop predictive models and quantitative analytics to prioritize vulnerabilities by contextual risk and business impact.
• Structure and analyze large security data outputs to support the ASPM framework.
• Create ML algorithms to filter scanning noise and false positives.
• Establish a unified data delivery structure and dashboards driving data-driven security governance.

Skills

5+ years data science

Python

R

SQL

TensorFlow

PyTorch

Data visualization

Vulnerability management

English (upper-intermediate)

Job description

ID70128

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 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.

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).

The benefits of joining us

• Professional growth
  Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensation
  We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
• A selection of exciting projects
  Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
• Flextime
  Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements
• 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.
• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)
• Final interview with your future teammates