Teams at ZoomInfo

Own end-to-end data science and machine learning projects, including problem definition, statistical analysis, predictive modeling, deployment, monitoring, and production data pipelines. Translate business questions into measurable KPIs and actionable insights for Product, Sales, Marketing, Finance, and HR. Build maintainable code and communicate findings to technical and non-technical stakeholders while contributing to code reviews, shared tooling, documentation, and team mentorship.

The role involves building and optimizing big data pipelines, designing data architectures, collaborating with data scientists, and driving technical strategy for data processing infrastructure.

Lead design, build, and 운영 of CI/CD platform components: self-hosted GitHub Actions runners on GKE, ArgoCD GitOps topology, Helm charts, and Jenkins platform. Deliver self-service tooling and migrations, ensure pipeline reliability with Datadog and PagerDuty, manage artifacts and secrets, and collaborate globally to own architecture, incidents, and long-term maintenance.