Teams at ChiStats

Provide defect triage and support analysis for the US Commercial Insurance business. Define and track KPIs, process and query large datasets, validate analytical outputs, gather requirements, consult with cross-functional teams and end users, and conduct ad hoc analyses. The role requires clear communication with technical and non-technical stakeholders and flexible shifts aligned with US business hours.

Validates data movement, mappings, transformations, APIs, migrations, AI-agent workflows, business rules, guardrails, and user-interface outputs. Develops integration, regression, edge-case, and AI-output tests; verifies data integrity and schema conformance; evaluates agent decisions, tool usage, fallbacks, hallucinations, and human-review handoffs. Investigates defect sources across systems and communicates quality risks and findings to product, engineering, data, and business stakeholders.

Develop and deploy generative AI applications, integrate LLM APIs, perform text analysis using traditional machine learning and GenAI, and manage the machine learning lifecycle from problem definition through deployment and monitoring. Collaborate with cross-functional teams, translate business needs into technical solutions, evaluate new GenAI techniques, and document technical concepts.