Data Scientist — Agent Evaluations & Quality

About the RoleThis company is building an AI executive assistant that operates across email, calendars, meetings, and business software. As a Data Scientist — Agent Evaluations & Quality, you will own the measurement system that determines whether the assistant is genuinely improving in ambiguous, real-world environments. You'll partner directly with AI Agent Capabilities engineers to generate the evidence that shapes product decisions, model choices, and release quality.This is a high-ownership, deeply technical role at the intersection of applied data science, LLM evaluation, and product quality — ideal for someone who thrives on turning hard, open-ended quality questions into rigorous, actionable answers.What You'll DoArchitect and maintain automated evaluation pipelines that measure agent quality across product surfaces.Translate agent capabilities into explicit pass, partial-pass, and failure criteria for complex multi-step tasks.Build representative gold datasets and regression suites covering real workflows, edge cases, and adversarial scenarios.Define meaningful metrics — task success, tool-selection accuracy, instruction adherence, factual consistency, latency, cost, a