Data Scientist, Security Issue Management
Core
Building state-of-the-art ML models and running experiments to enhance developer productivity, identify bottlenecks, and optimize security tooling within the software development lifecycle.
Role type
Senior IC data scientist (security automation & builder experience)
Builds
Production-grade ML models, statistical analysis pipelines, and security tooling features for engineering teams
Domain
Software development lifecycle, security automation, developer experience
Deliverable
production ML models | product features | dashboards & analysis
Required skills
machine learning/statistical modeling, data querying (SQL), Python scripting, experimental design, large-scale exploratory data analysis, model deployment, stakeholder communication
Preferred skills
GenAI model benchmarking, cross-disciplinary project leadership, quantitative business analysis
Technologies
Python, SQL, R, SAS, Matlab
Responsibilities
Design and run rigorous experiments to evaluate security tooling performance; Lead end-to-end lifecycle of data science and ML models from research to production; Conduct online and offline analyses to measure impact on vulnerability resolution and productivity; Develop and deploy production-grade ML models to automate insights; Perform large-scale EDA on builder feedback and tool usage data; Translate research findings into actionable recommendations for leadership
Seniority
Senior, hands-on IC with mentorship responsibilities