Princeton, NJ30+ days ago
Analyse datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to partner teams and other key stakeholders Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand behaviors and interactions Build, manage, deploy, and monitor end-to-end analytical solutions to Build and share data visualizations and self-serve dashboards for your product team, and support planning, facilitation, and execution of regular communication and coordination across cross-functional teams Continually reviewing completeness and accuracy of relevant data platforms Maintaining situational awareness, collaborate, influence and lead initiatives across the enterprise Work closely with business units to understand people, process, and technology in order to build effective vulnerability management strategies What we value The ability to thoroughly evaluate and understand complex data sets Knowledge and understanding of vulnerability management and remediation Strong organizational, multi-tasking, and prioritizing skills Ability to work independently and solve challenging problems Knowledge and interest in vulnerability related trends Security certification a plus Experience within a vulnerability management role Ability to work in an environment with a geographically dispersed team Education & Preferred Qualifications Bachelor's degree in a quantitative field with a minimum of 8 years of industry experience or PhD in a quantitative technical field with 4+ years of relevant industry experience. Experience with scripting and data analysis programming languages, such as Python or R and advanced proficiency with SQL and data visualization tools Experience with cohort and funnel analyses, population clustering and segmentation techniques, and a deep understanding statistical concepts related to experimental design, selection bias, probability distributions, and Bayesian inference Experience answering unstructured questions, driving data-driven solutions, and managing projects and tasks to a conclusion Direct experience in the cybersecurity industry building analytics, models and detections (minimum 1-2 years).