Teams at Klivvr

Lead end-to-end ownership of a domain (credit, risk, growth), define modeling strategy, solve high-stakes ambiguous problems, drive models to production and maintain their performance, set technical standards, mentor data scientists, and translate business strategy into a data science roadmap.

Owns and evolves cloud infrastructure, CI/CD pipelines, deployment automation, infrastructure as code, monitoring, logging, and alerting. Improves reliability, availability, performance, security, and compliance across production environments. Supports production systems and leads incident response while partnering with engineering, product, and security teams. The role requires strong cloud, Linux, networking, container orchestration, scripting, and Kubernetes expertise.

Partner with business stakeholders to own analytical lifecycle for domains (Lending, Payments, Risk, Sales, Growth). Translate questions into analyses, build governed Looker dashboards using LookML, perform advanced statistical and causal analyses, ensure data quality and metric governance, improve analytics platform and documentation, and present actionable insights to senior stakeholders.