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 4+ years of commercial data science experience with direct 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
- 4+ 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: 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
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.
Requirements
4+ 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 (TensorFlow, PyTorch) and data visualization tools. Commercial experience applying data science specifically to vulnerability management
Senior Data Scientist ID70128 • Porto, 13, pt
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