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 machine learning algorithms to eliminate scanning noise and false positives, and establish unified dashboards that drive adoption of data-driven security governance. The role requires extensive data science experience applied to cybersecurity, vulnerability management, or financial risk modeling. 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 and statistical models to automatically identify and filter scanning noise and false positives; - Establish unified data delivery structures, reporting frameworks, and dashboards to support data-driven security governance; - Analyze large-scale security telemetry datasets to generate actionable insights; - Collaborate with security, engineering, and platform teams to improve risk visibility and prioritization processes; - Drive the adoption of advanced analytics and machine learning techniques across vulnerability management workflows. MUST HAVES - 6+ years of commercial Data Science experience with the ability to operate autonomously and independently; - Advanced proficiency in Python, R, and SQL; - Experience with machine learning frameworks such as TensorFlow and PyTorch; - Experience with data visualization and reporting tools; - Prior commercial experience applying Data Science to cybersecurity, vulnerability management, or financial risk models; - Strong analytical and quantitative problem-solving skills; - Upper-intermediate English level. NICE TO HAVES - Familiarity with Cloud Security Posture Management (CSPM) platforms and data outputs, such as 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 compensation. - Exciting projects: Join projects with modern solutions development and top-tier clients, including Fortune 500 enterprises and leading product brands. - Flextime: Tailor your schedule for an optimal work-life balance, with options for remote work and flexible hours.